So do the big changes (macroevolution) really happen? Evolutionists tell us we cannot see evolution taking place because it happens too slowly. A human generation takes about 20 years from birth to parenthood. They say it took tens of thousands of generations to form man from a common ancestor with the ape, from populations of only hundreds or thousands. We do not have these problems with bacteria. A new generation of bacteria grows in as short as 12 minutes or up to 24 hours or more, depending on the type of bacteria and the environment, but typically 20 minutes to a few hours. There are more bacteria in the world than there are grains of sand on all of the beaches of the world (and many grains of sand are covered with bacteria). They exist in just about any environment: hot, cold, dry, wet, high pressure, low pressure, small groups, large colonies, isolated, much food, little food, much oxygen, no oxygen, in toxic chemicals, etc.
There is much variation in bacteria. There are many mutations (in fact, evolutionists say that smaller organisms have a faster mutation rate than larger ones17). But they never turn into anything new. They always remain bacteria. Fruit flies are much more complex than already complex single-cell bacteria. Scientists like to study them because a generation (from egg to adult) takes only 9 days. In the lab, fruit flies are studied under every conceivable condition. There is much variation in fruit flies. There are many mutations. But they never turn into anything new. They always remain fruit flies. Many years of study of countless generations of bacteria and fruit flies all over the world shows that evolution is not happening today.
Only mutations in the reproductive (germ) cells of an animal or plant would be passed on. Mutations in the eye or skin of an animal would not matter. Mutations in DNA happen fairly often, but most are repaired or destroyed by mechanisms in animals and plants. All known mutations in animal and plant germ cells are neutral, harmful, or fatal. But evolutionists are eternally optimistic. They believe that millions of beneficial mutations built every type of creature that ever existed.
Believing in beneficial mutations is like believing a short-circuit in the motherboard of your computer could improve its performance. To make any lasting change, a beneficial mutation would have to spread ("sweep") through a population and stay (become "fixed"). To evolutionists, this idea has been essential for so long that it is called a "classic sweep", "in which a new, strongly beneficial mutation increases in frequency to fixation in the population."
Some evolutionist researchers went looking for classic sweeps in humans, and reported their findings in the journal Science. "To evaluate the importance of classic sweeps in shaping human diversity, we analyzed resequencing data for 179 human genomes from four populations". "In humans, the effects of sweeps are expected to persist for approximately 10,000 generations or about 250,000 years." Evolutionists had identified "more than 2000 genes as potential targets of positive selection in the human genome", and they expected that "diversity patterns in about 10% of the human genome have been affected by linkage to recent sweeps." So what did they find? "In contrast to expectation," their test detected nothing, but they could not quite bring themselves to say it. They said there was a "paucity of classic sweeps revealed by our findings". Sweeps "were too infrequent within the past 250,000 years to have had discernible effects on genomic diversity." "Classic sweeps were not a dominant mode of human adaptation over the past 250,000 years." --Hernandez, Ryan D., Joanna L. Kelley, Eyal Elyashiv, S. Cord Melton, Adam Auton, Gilean McVean, 1000 Genomes Project, Guy Sella, Molly Przeworski. 18 February 2011. Classic Selective Sweeps Were Rare in Recent Human Evolution. Science, Vol. 331, no. 6019, pp. 920-924.
A 35-year experiment by evolutionists shows how things really work. Instead of waiting for natural selection, researchers forced selection on hundreds of generations of fruit flies. They used variation to breed fruit flies that develop from egg to adult 20% faster than normal. But, as usual when breeding plants and animals, there was a down side. In this case the fruit flies weighed less, lived shorter lives, and were less resistant to starvation. There were many mutations, but none caught on, and the experiment ran into the limits of variation. They wrote that "forward experimental evolution can often be completely reversed with these populations". "Despite decades of sustained selection in relatively small, sexually reproducing laboratory populations, selection did not lead to the fixation of newly arising unconditionally advantageous alleles." "The probability of fixation in wild populations should be even lower than its likelihood in these experiments." --Burke, Molly K., Joseph P. Dunham, Parvin Shahrestani, Kevin R. Thornton, Michael R. Rose, Anthony D. Long. 30 September 2010. Genome-wide analysis of a long-term evolution experiment with Drosophila. Nature, Vol. 467, pp. 587-590.
You may have heard of the famous Lenski experiment. Dr. Richard E. Lenski is an evolutionary biologist who began a long-term experiment on February 24, 1988 that continues today. It looks for genetic changes in 12 initially identical populations of Escherichia coli bacteria that have been adapting to conditions in their flasks for over 60,000 generations. I have simplified a report by Scott Whynot, who studied 26 peer-reviewed scientific articles authored by Dr. Lenski (with others) published between 1991 and 2012. These papers represent the major genetic findings from 21 years of the experiment.
1. There was an insertion mutation that inhibited transcription of DNA involved in cell wall synthesis.
2. There was an insertion mutation in a regulatory region that encodes two proteins involved with cell wall synthesis. This may have led to larger cells.
3. A mutation in a gene led to a defect in DNA repair.
4. An insertion mutation may have knocked out a gene involved in programmed cell death and response to stress.
5. There was another mutation in a gene involved in response to stress, disrupting its function.
6. There was a mutation in the gene that encodes an enzyme that loosens DNA coils, leading to an increase in DNA supercoiling.
7. There was an insertion mutation in a gene that represses the production of nicotinamide adenine dinucleotide (NAD), a molecule that participates in many metabolic reactions, some affecting longevity. This might allow more NAD production.
8. The researchers noted an insertion mutation that they think inactivated a gene, resulting in greater glucose uptake. Glucose is a limited energy source in the experiment.
9. Deletion mutations caused the loss of the ability to catabolize D-ribose, an energy source that is not available in the experiment.
10. There was a mutation in a gene regulating transport of the sugar maltose, an energy source that is not present in the experiment.
11. After about 30,000 generations, the E. coli in one of the twelve isolated populations began to utilize an energy source, citrate, that they normally could not use in the presence of oxygen. E. coli already have the ability to transport and metabolize citrate where there is no oxygen, but they do not produce an appropriate transport protein for an environment with oxygen. In E. coli DNA, the gene for the citrate transporter that works without oxygen is directly upstream from genes for proteins with promoters that are active in the presence of oxygen. A replication of the region happened to put the transporter gene next to one of these promoters, so it could now be expressed in the presence of oxygen.
Except for number 11, the changes found in over 60,000 generations of bacteria were due to the disruption, degradation, or loss of genetic information. The ability to use citrate in the presence of oxygen, trumpeted by evolutionists as a big deal, was the result of previously existing information being rearranged, not the origin of new information. Mutations that result in a gain of novel information have not been observed.
"Most long-term evolution experiments thus far have been performed in bacteria or haploid yeast populations, where, in most environments, there exist a number of loss-of-function mutations that provide a selective advantage." "For instance, sterility in yeast provides a selective advantage by eliminating unnecessary gene expression." "The emergence of the Cit+ phenotype is the exception in experimental evolution, where most evolved mutations affect independent genes and biological pathways, driven largely by large-target loss-of-function mutations."-- Lang, Gregory I., Michael M. Desai. 2014. The spectrum of adaptive mutations in experimental evolution. Genomics, Vol. 104, No. 6, Part A, pp. 412–416.
Another evolutionary biologist wrote, "the processes underlying evolutionary innovation are remarkably poorly understood, which leaves us at a surprising conundrum: while biologists have made great progress over the past century and a half in understanding how existing traits diversify, we have made relatively little progress in understanding how novel traits come into being in the first place." "The origin of novel features continues to be a fascinating and challenging topic in evolutionary biology."-- Moczek, Armin P. May 2008. On the origins of novelty in development and evolution. BioEssays, Vol. 30, Issue 5, pp. 409-512.
- the final blow?
He wrote, "Evolution does not produce novelties from scratch. It works on what already exists, either transforming a system to give it new functions or combining several systems to produce a more elaborate one."
"During chemical evolution in prebiotic times and at the beginning of biological evolution, all those molecules of which every living being is built had to appear. But once life had started in the form of some primitive self-reproducing organism, further evolution had to proceed mainly through alterations of already existing compounds. New functions developed as new proteins appeared. But these were merely variations on previous themes. A sequence of a thousand nucleotides codes for a medium-sized protein. The probability that a functional protein would appear de novo by random association of amino acids is practically zero. In organisms as complex and integrated as those that were already living a long time ago, creation of entirely new nucleotide sequences could not be of any importance in the production of new information."20
For decades, everyone agreed. But as researchers compared the genes of similar creatures, they found that the genes differed, from just a little to a lot. They imagined different ways that could have happened. Gene duplication, non-deleterious frame shift mutations, alternative reading frames, overlap with transposable elements, horizontal gene transfer, or overlapping gene.45 As usual with evolutionists, they do not know what really happened, they assume it was one of these mental explanations, and that is enough. But some genes are so unique, even imagination fails. Evolutionists now conclude they must have assembled spontaneously - "de novo". In fact, "all genome and expressed sequence tag (EST) projects to date in every taxonomic group studied so far have uncovered a substantial fraction of genes that are without known homologs [equivalents]. These 'orphans' or 'taxonomically restricted genes' (TRGs) are defined as being exclusively restricted to a particular taxonomic group."21 "Orphan genes are defined as genes which lack detectable similarity to genes in other species". "They typically make up 10 to 30% of all genes in a genome."45
The foundation of evolution theory, gradual modification over time, slowly transforming genes that already exist, suddenly ran up against orphan genes, genes without parents in every taxonomic group studied so far. Looking at it objectively, the theory of evolution has been falsified. After careful study, evolutionists made a bold choice:
For evolutionists, the theory of evolution can never die. The rest of us can see that Francois Jacob was right. Orphan genes reveal that macro-evolution does not represent reality, and is physically impossible.
An interview with Steven A. Benner, Ph.D. Chemistry, Harvard, prominent origin-of-life researcher and creator of the Foundation for Applied Molecular Evolution, was posted on Huffington Post on December 6, 2013. In it he said, "We have failed in any continuous way to provide a recipe that gets from the simple molecules that we know were present on early Earth to RNA." "The first paradox is the tendency of organic matter to devolve and to give tar. If you can avoid that, you can start to try to assemble things that are not tarry, but then you encounter the water problem, which is related to the fact that every interesting bond that you want to make is unstable, thermodynamically, with respect to water. If you can solve that problem, you have the problem of entropy, that any of the building blocks are going to be present in a low concentration; therefore, to assemble a large number of those building blocks, you get a gene-like RNA -- 100 nucleotides long -- that fights entropy. And the fourth problem is that even if you can solve the entropy problem, you have a paradox that RNA enzymes, which are maybe catalytically active, are more likely to be active in the sense that destroys RNA rather than creates RNA." http://www.huffingtonpost.com/suzan-mazur/steve-benner-origins-souf_b_4374373.html
Two prominent "origin-of-life" researchers have laid out their vision of how life arose from chemicals: (see my video on this)
3. The double-strand RNA separates into single strands if it is heated just right. That might happen in an icy pond next to a volcano, where the bubble could circulate between the ice and the hot rocks. "The sudden heating would cause a double helix to separate into single strands. Once back in the cool region, new double strands, copies of the original, could form". At the same time, the bubble is picking up fatty acid molecules and growing. Adding fatty acids makes the membrane grow longer, and a little shaking breaks the bubble into some smaller bubbles, each with some of the self-copying molecules inside, so you have "cell division".
4. "At some point some of the RNA sequences mutated, becoming ribozymes". The "ribozymes (folded RNA molecules analogous to protein-based enzymes) arise and take on such jobs as speeding up reproduction and strengthening the protocell's membrane. Consequently, protocells begin to reproduce on their own." "Other ribozymes catalyze metabolism -- chains of chemical reactions that enable protocells to tap into nutrients from the environment."
5. "Next, the organisms might have added protein-making to their bag of chemical tricks." "Complex systems of RNA catalysts begin to translate strings of RNA letters (genes) into chains of amino acids (proteins)." "Proteins take on a wide range of tasks within the cell."
6. "Protein-based catalysts, or enzymes, gradually replace most ribozymes." "Proteins would have then taken over RNA's role in assisting genetic copying and metabolism."
7. Later, the organisms would have 'learned' to make DNA". "Thanks to its superior stability, DNA takes on the role of primary genetic molecule. RNA's main role is now to act as a bridge between DNA and proteins."
8. "Organisms resembling modern bacteria adapt to living virtually everywhere on earth and rule unopposed for billions of years, until some of them begin to evolve into more complex organisms."-- Ricardo, Alonso, Jack W. Szostak. September 2009. The Origin of Life on Earth. Scientific American, pp. 54-61.
They are currently working on steps 1 and 2 in the laboratory.
Let's compare their "origin of life" ideas to the plans of children making a spaceship out of a cardboard box:
3. Launch the spaceship towards the Moon. Using the Moon's gravity, fling the spaceship to the outer reaches of the solar system, constantly accelerating with the impulse engines.
4. After passing Neptune, engage the warp drive in a direction perpendicular to the plane of the ecliptic to avoid the Kuiper belt.
The children are currently working on steps 1 and 2, and are as close to demonstrating their vision as the "origin-of-life" researchers are.
Franklin M. Harold has been studying cell biology for over 50 years. Researcher William F. Martin called him "a grand master of cellular workings and bioenergetics" in a BioEssays book review. Harold Is Professor Emeritus, Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, and Affiliate Professor, Department of Microbiology, University of Washington Health Sciences Center, Seattle, Washington. In a chapter titled "Ultimate Riddle - Origin of Cellular Life" in his 2014 book "In Search of Cell History: The Evolution of Life’s Building Blocks" published by the University of Chicago Press, he examined at length the current state of origin-of-life research. These are some of his conclusions:
In a lecture in 2014, famous "origin-of-life" researcher Jack Szostak showed this slide:
He said these problems were known 15 or 20 years ago. Regarding the third problem, the RNA backbone is always the same in living things. But making it with chemicals in a lab leads to haphazard forms. Szostak believes this will not be much of an obstacle after all. The last problem on the list is about magnesium ions. They are required for copying RNA, but they also degrade RNA and destroy membranes. His lab's experiments found that adding citrate to the magnesium ions prevents the destruction. That is hardly surprising since citrate is essential to cellular metabolism, but citrate is not a plausible prebiotic chemical because it is a product of living things. He did not mention that in the lecture.And so the faithful continue to strive, year after year, decade after decade, to solve the impossible mystery. As long as evolutionists can say that scientists are working on it, the rest of the world doesn’t notice that the research is stalled where it started.
But "major transitions in biological evolution show the same pattern of sudden emergence of diverse forms at a new level of complexity." "The principal 'types' seem to appear rapidly and fully equipped with the signature features of the respective new level of biological organization. No intermediate 'grades' or intermediate forms between different types are detectable."23
Since the fossil record does not show long series of tiny changes between one type of creature and another, some evolutionists proposed a modification to evolution theory. It says that change occurred by occasional leaps (punctuated equilibrium), not gradually. However, each hypothetical beneficial mutation could only make a slight change. Any more than that would be so disruptive as to cause death. So punctuated equilibrium is not really about big leaps. It envisions a lot of slight changes over thousands of years, then nothing happens for millions of years. Evolutionists say with a straight face that no fossils have been found from a leap because thousands of years is too fast in the billions of years of "geologic time" to leave any. Yet without fossils there is no evidence that any leaps ever happened, and of course there is no evidence that leaps or gradual changes beyond variation are happening today in any of the millions of species that still exist.
Waiting for mutations
"Given the unique capabilities of humans, an evolving hominin population (as would give rise to modern man) would need to establish a great deal of new information."
"It is estimated that it only took six million years for the chimp and human genomes to diverge by over 5%, representing about 150 million nucleotide differences."
"The gene can range in size from about 1,000 to more than one million nucleotides long. A typical human gene is roughly 50,000 nucleotides long. A new gene is thought to arise from a previously existing gene, with the mutation/selection process establishing mutations within a long text string that is already established and functional."
"It is now generally recognized that beneficial mutations are rare, and that high-impact beneficial mutations are extremely rare. In higher life forms where population sizes are modest, the mutation rate per nucleotide per generation is normally extremely low (about 10−8). This means that the waiting time for a specific nucleotide within single chromosomal lineage would be 100 million generations."
"We simulated a classic pre-human hominin population of at least 10,000 individuals, with a generation time of 20 years, using the numerical simulation program Mendel’s Accountant (Mendel version 2.4.2, now being released as 2.5)."
"Biologically realistic numerical simulations revealed that a population of this type required inordinately long waiting times to establish even the shortest nucleotide strings. To establish a string of two nucleotides required on average 84 million years. To establish a string of five nucleotides required on average 2 billion years. We found that waiting times were reduced by higher mutation rates, stronger fitness benefits, and larger population sizes. However, even using the most generous feasible parameter settings, the waiting time required to establish any specific nucleotide string within this type of population was consistently prohibitive."
"Even given very substantial fitness effects, the waiting time for a specific point mutation ranged between 1.5 and 15.9 million years" which "is very sobering, since it is estimated that mankind evolved from a chimp-like creature in just 6 million years."
"As string length increased linearly, the increase in waiting time was of an exponential nature. When there were as many as six nucleotides in the string, the average waiting time (4.24 billion years) approached the estimated age of the earth. When there were eight nucleotides in the string, the average waiting time (18.5 billion years), exceeded the estimated age of the universe."
"Our results generally represent best-case scenarios in terms of minimizing waiting time. When we use more realistic parameter settings for our simulations, we consistently get much longer waiting times."
"When a population faces a specific evolutionary challenge, a specific fix is needed, and it must arise in a timely fashion. Positive selection cannot generally begin to resolve an evolutionary challenge until just the right mutation (or mutations) happens at just the right position (or positions). Selection for the required trait can only begin after the mutation (or mutations) result in a substantial (selectable) improvement in total biological functionality."
"The creation and fixation of a string of three (requiring at least 380 million years) would be extremely untimely adaptation in the face of any type of pressing evolutionary challenge (and trivial in effect), in terms of the evolution of modern man" who has "a genome with over three billion nucleotides."
"We need multiple point mutations to arise on the same short strand of DNA, which is very difficult. While a population is waiting (through deep time) for the correct string to arise, genetic drift is systematically eliminating almost all the string variants. Nearly all of the time there will be essentially zero strings anywhere in the population that are even close to the target string."
"It is widely thought that a larger population size can eliminate the waiting time problem. While our simulations show that larger populations do help reduce waiting time, we see that the benefit of larger population size produces rapidly diminishing returns. When we increase the hominin population from 10,000 to 1 million, the waiting time for creating a string of five is only reduced from two billion to 482 million years. This amount of time approximates the estimated time required for the evolution of worm-like creatures into people. When we extrapolate our data to a population size of ten million we still get a waiting time of 202 million years. Even when we extrapolate to a population size of one billion we still have a waiting time of 40 million years."
"A bigger population increases the number of mutations arising per generation, but does not increase the number of mutations per short DNA strand (mutation density). To create a complete set of linked mutations requires many mutations arising on the same short stretch of a given DNA molecule."
"Numerous other researchers have come to similar conclusions. The long waiting times we report here are even supported indirectly by the papers that have argued against a serious waiting time problem. When examined carefully, those papers indicate that for a hominin-type population, waiting times are as long or even longer than we report here."
It is true that "during the waiting time period for a functional string to be established at a given location, other beneficial mutational strings can be happening in other parts of the genome."
"However, those other strings are not likely to meet the same specific evolutionary need that our target string can meet. Evolution often needs a specific fix to a specific problem, and that fix must be timely in order to retain relevance."
"Even if all of the ~20,000 genes in the hominin genome were already poised for a significant enhancement and all of them were waiting for their own specific string, each one of those potential enhancements would have its own severe waiting time problem."
"Furthermore, this would be happening in the context of countless nearly-neutral deleterious mutations throughout the genome which would drift to fixation within the same deep time. Unless there was very strong purifying selection operating for all the nucleotides in the general region of the string, the context of the string would be erased long before the string itself actually arose."
"The waiting time problem becomes very severe when more than one mutation is required to establish a new function. This is a very interesting theoretical dilemma."-- Sanford, John, Wesley Brewer, Franzine Smith and John Baumgardner. September 17, 2015. The waiting time problem in a model hominin population. Theoretical Biology and Medical Modelling, Vol. 12, No. 1, Article 18, 28 pages, DOI: 10.1186/s12976-015-0016-z.
What fossil evidence is there for the evolutionist vision for the origin of life? Nothing, except for shapes that might have been cells, or something else. Everyone agrees that the big surprise is the sudden appearance of fossils above the bedrock in the Cambrian Explosion.
"Darwin argued that the incompleteness of the fossil record gives the illusion of an explosive event, but with the eventual discovery of older and better-preserved rocks, the ancestors of these Cambrian taxa would be found. Studies of Ediacaran and Cambrian fossils continue to expand the morphologic variety of clades, but the appearance of the remains and traces of bilaterian animals in the Cambrian remains abrupt." (Erwin et. al.)
What to do? A team of evolutionists solved this problem using their most effective tool - storytelling. First they assumed evolution occurred. Then they estimated how fast it should have happened, and decided that the creatures in the Cambrian Explosion had been evolving for over 250 million years before any showed up in the rocks as fossils! "We estimate that the last common ancestor of all living animals arose nearly 800 million years ago and that the stem lineages leading to most extant phyla had evolved by the end of the Ediacaran (541 million years ago)." Yes, millions of generations of all kinds of creatures all over the world living, dying, evolving without leaving any trace of their existence. Not only that, "from the early Paleozoic onward there is little addition of new phyla and classes". "Little high-level morphological innovation occurred during the subsequent 500 million years". Their story was published in the prestigious journal Science, and was hailed as having solved a mystery challenging evolution theory all the way back to Darwin. --Erwin, Douglas H., Marc Laflamme, Sarah M. Tweedt, Erik A. Sperling, Davide Pisani, Kevin J. Peterson. 2011. The Cambrian Conundrum: Early Divergence and Later Ecological Success in the Early History of Animals. Science, Vol. 334, pp. 1091-1097.
"Archaeopteryx has long been considered the iconic first bird." "The first Archaeopteryx skeleton was found in Germany about the same time Darwin's Origin of Species was published. This was a fortuituously-timed discovery: because the fossil combined bird-like (feathers and a wishbone) and reptilian (teeth, three fingers on hands, and a long bony tail) traits, it helped convince many about the veracity of evolutionary theory." "Ten skeletons and an isolated feather have been found." "Archaeopteryx is the poster child for evolution." But "bird features like feathers and wishbones have recently been found in many non-avian dinosaurs". "Microscopic imaging of bone structure... shows that this famously feathered fossil grew much slower than living birds and more like non-avian dinosaurs." "Living birds mature very quickly and grow really, really fast", researchers say. "Dinosaurs had a very different metabolism from today's birds. It would take years for individuals to mature, and we found evidence for this same pattern in Archaeopteryx and its closest relatives". "The team outlines a growth curve that indicates that Archaeopteryx reached adult size in about 970 days, that none of the known Archaeopteryx specimens are adults (confirming previous speculation), and that adult Archaeopteryx were probably the size of a raven, much larger than previously thought." "We now know that the transition into true birds -- physiologically and metabolically -- happened well after Archaeopteryx."--October 2009. Archaeopteryx Lacked Rapid Bone Growth, the Hallmark of Birds. American Museum of Natural History, funded science online news release.
What evolutionists now know for sure is that their celebrity superstar was not a transitional creature after all. Wow! OMG. They better find a new one fast...
As for the birds in the evolutionary tree, evolutionists just placed living and extinct species next to each other to make the bird series.
Rather than play the evolutionist's game and try to untangle varieties of one animal from another in the horse bush, let's be clear on what we are talking about. Biologists divide all living things into groups and subgroups. The basic framework is the Linnaean system of taxonomy, published in Linnaeus' expanded 10th edition of Systema Naturae in 1758. That was a century before Darwinism, and it was never intended to show that one creature morphed into another. It just grouped animals with similar characteristics. Once they seized control of the study of biology, evolutionists took over the Linnaean system and have tinkered with it ever since to fit their belief that animals transform over time. Birds are at the class level (Aves), which has 23 subgroups below it called orders and 142 subgroups below them called families. All the members of the evolutionist's horse bush, living and extinct, are in one family, (Equidae). To get up to the class level where birds are, you pass the order Perissodactyla (browsing and grazing mammals with an odd number of toes) to the class mammals (Mammalia). Other examples of families include cats (Felidae), dogs (Canidae), deer (Cervidae), bears (Ursidae), squirrels (Sciuridae), and cattle (Bovidae).
So the level of "evolution" in the horse bush is within a family, which is pretty low and has no relevance to the main issue, macroevolution. But evolutionists have always used the varieties in the family Equidae to entice people to imagine that all animals morph from one kind to another. Look at their tree of life for mammals, the class Mammalia.
Novacek, M.J. 1994. The Radiation of Placental Mammals, in Prothero, D.R. and Schoch, R.M. (editors) Major Features of Vertebrate Evolution. Paleontological Society Short Courses in Paleontology, No. 7, pp. 220-237.
That's right; they want us to believe that elephants and manatees, primates and tree shrews had common ancestors. They show you three toes changing to one toe, browsing teeth changing to grazing teeth in the horse bush so that you will believe that reindeer and whales morphed from common ancestors. That is why the horse series is an evolutionist icon.
of Life" is falling
"But today the project lies in tatters, torn to pieces by an onslaught of negative evidence. Many biologists now argue that the tree concept is obsolete and needs to be discarded. 'We have no evidence at all that the tree of life is a reality,' says Bapteste. That bombshell has even persuaded some that our fundamental view of biology needs to change." "The problems began in the early 1990s when it became possible to sequence actual bacterial and archaeal genes". "As more and more genes were sequenced, it became clear that the patterns of relatedness could only be explained if bacteria and archaea were routinely swapping genetic material with other species - often across huge taxonomic distances". " 'There's promiscuous exchange of genetic information across diverse groups,' says Michael Rose, an evolutionary biologist at the University of California, Irvine." "As early as 1993, some were proposing that for bacteria and archaea the tree of life was more like a web. In 1999, Doolittle made the provocative claim that 'the history of life cannot properly be represented as a tree'.13 'The tree of life is not something that exists in nature, it's a way that humans classify nature,' he says."
"Recent research suggests that the evolution of animals and plants isn't exactly tree-like either." "A team at the University of Texas at Arlington found a peculiar chunk of DNA in the genomes of eight animals - the mouse, rat, bushbaby, little brown bat, tenrec, opossum, anole lizard and African clawed frog - but not in 25 others, including humans, elephants, chickens and fish. This patchy distribution suggests that the sequence must have entered each genome independently by horizontal transfer."34 "HGT [horizontal gene transfer] has been documented in insects, fish and plants, and a few years ago a piece of snake DNA was found in cows." "Biologist Michael Syvanen of the University of California, Davis... compared 2000 genes that are common to humans, frogs, sea squirts, sea urchins, fruit flies and nematodes. In theory, he should have been able to use the gene sequences to construct an evolutionary tree showing the relationships between the six animals. He failed."
"The problem was that different genes told contradictory evolutionary stories." " 'We've just annihilated the tree of life. It's not a tree any more, it's a different topology [design or shape] entirely,' says Syvanen." "It is clear that the Darwinian tree is no longer an adequate description of how evolution in general works." "Rose goes even further. 'The tree of life is politely buried, we all know that,' he says. 'What's less accepted is that our whole fundamental view of biology needs to change.' Biology is vastly more complex than we thought, he says." " 'The tree of life was useful,' says Bapteste. 'It helped us to understand that evolution was real. But now we know more about evolution, it's time to move on.' "26
Evolutionists write: "The meaning, role in biology, and support in evidence of the universal 'Tree of Life' (TOL) are currently in dispute. Some evolutionists believe... that we can with available data and methods reconstruct this tree quite accurately, and that we have in fact done so, at least for the major groups of organisms. Other evolutionists... do not doubt that some... branching tree can in principle represent the history of all life. Still other evolutionists, ourselves included, question even this most fundamental belief, that there is a single true tree." "Darwin claimed that a unique inclusively hierarchical pattern of relationships between all organisms based on their similarities and differences was a fact of nature." Yet "the only data sets from which we might construct a universal hierarchy including prokaryotes, the sequences of genes, often disagree and can seldom be proven to agree. Hierarchical structure can always be imposed on or extracted from such data sets by algorithms designed to do so, but at its base the universal TOL rests on an unproven assumption about pattern that, given what we know about process, is unlikely to be broadly true." There is "the possibility that hierarchy is imposed by us rather than already being there in the data."12 "The finding that, on average, only 0.1% to 1% of each genome fits the metaphor of a tree of life overwhelmingly supports the... argument that a single bifurcating tree is an insufficient model to describe the microbial evolutionary process." "When chemists or physicists find that a given null hypothesis can account for only 1% of their data, they immediately start searching for a better hypothesis. Not so with microbial evolution, it seems, which is rather worrying. Could it be that many biologists have their heart set on finding a tree of life, regardless of what the data actually say?"10 "A single, uninterrupted TOL does not exist, although the evolution of large divisions of life for extended time intervals can be adequately described by trees." "Tree topology tends to differ for different genes."26 The genomes of all life forms are collections of genes with diverse evolutionary histories." "The TOL concept must be substantially revised or abandoned because a single tree topology or even congruent topologies of trees for several highly conserved genes cannot possibly represent the history of all or even the majority of the genes." "The 'strong' TOL hypothesis, namely, the existence of a 'species tree' for the entire history of cellular life, is falsified by the results of comparative genomics." "So the TOL becomes a network, or perhaps most appropriately, the Forest of Life that consists of trees, bushes, thickets..., and of course, numerous dead trunks and branches."22
Kevin Peterson, a molecular paleobiologist at Dartmouth College, "has been reshaping phylogenetic trees for the past few years, ever since he pioneered a technique that uses short molecules called microRNAs to work out evolutionary branchings. He has now sketched out a radically different diagram for mammals: one that aligns humans more closely with elephants than with rodents."
" 'I've looked at thousands of microRNAs, and I can't find a single example that would support the traditional tree,' he says. The technique "just changes everything about our understanding of mammal evolution'."
"And as he continues to look, he keeps uncovering problems, from the base of the animal tree all the way up to its crown."
"Peterson and his team are now going back to mammalian genomes to investigate why DNA and microRNAs give such different evolutionary trajectories. 'What we know at this stage is that we do have a very serious incongruence,' says Davide Pisani, a phylogeneticist at the National University of Ireland in Maynooth". --Dolgin, Elie. 28 June 2012. Rewriting Evolution. Nature, Vol.486, pp.460-462.
This is huge. Professional evolutionists spend most of their time adjusting their "tree of life". They have fun thinking how one type of creature "developed" into another type, how abilities "arose" or "emerged" here and there, but that is just playing at science. These articles show that, while they still cling to their belief in evolution, the truth is becoming inescapable to a few evolutionists who dare to look at the facts: Darwin was wrong; microbes, insects, plants, and animals do not fit a "tree of life" with linear descent. There is no pattern to their similarities and differences because each one is a uniquely designed, complete creature.
The big fudge
In another study, evolutionists concluded that the cecal appendix evolved independently at least 32 separate times in mammals.41 This dodge is quite common in "evolutionary science".
Instead of heeding the warnings and scrapping the diagrams, they solved the problem by giving it a name: either "convergent" or "parallel" evolution (according to the situation), and it became standard in evolutionist writings. Now they just casually throw out statements like "convergent evolution is widespread across the mammal tree of life". --Helgen, Kristofer M. 28 October 2011. The Mammal Family Tree. Science, Vol. 334, pp. 458-459.
In their sales pitch to the public, evolutionists use the gimmick, "if a million monkeys typed randomly for millions of years, eventually one would type one of Shakespeare's sonnets", and people think "well, maybe...". How about the monkeys typing the same sonnet twice or more? It would be shocking if random mutation-natural selection produced any working part, let alone the same part twice or more from scratch. With convergent/parallel evolution, evolutionists could fudge any situation.
Perhaps the most brazen example of this can be seen in the "parallel evolution" of two types of mammals, placental (such as humans) and marsupial (such as kangaroos). Evolutionists tell us that each group evolved separately, yet many are remarkably similar, including cats, mice, wolves, moles, flying squirrels, anteaters, and others. This is whole animal duplication, not just an individual part.
A normal person would be embarrassed if their theory of random change made such claims, but you cannot embarrass a fanatic. The only reason for the "convergent/parallel evolution" trick is to force the "tree of life" framework onto a world of uniquely designed creatures.
It is true that "images projected onto the retina have to pass several layers of randomly oriented and irregularly shaped cells with intrinsic scatterers before they reach the light-detecting photoreceptor cells". "When light passes through multiple layers of cells, as in tissues, images rapidly deteriorate".16
"The mammalian retina and the peripheral retina of humans and primates are organized in a seemingly reverse order with respect to the light path. This arrangement places the photoreceptors, responsible for light absorption, as the last cells in the path of light, rather than the first. Therefore, the incident light must propagate through five reflecting and scattering layers of cell bodies and neural processes before reaching the photoreceptors. This 'inverted' retinal structure is expected to cause blurring of the image and reduction in the photon flux reaching the photoreceptors, thus reducing their sensitivity."25
Then researchers took a closer look at glial cells in the eye. "Glial cells are the most abundant cell types in the central nervous system. They surround neurons to support and insulate them." "Muller cells, the major type of glial cells in the retina, are responsible for the homeostatic and metabolic support of retinal neurons. By mediating transcellular ion, water, and bicarbonate transport, Muller cells control the composition of the extracellular space fluid. Muller cells provide trophic and anti-oxidative support of photoreceptors and neurons and regulate the tightness of the blood-retinal barrier. By the uptake of glutamate, Muller cells are more directly involved in the regulation of the synaptic activity in the inner retina. This review gives a survey of recently discoved new functions of Muller cells. Muller cells are living optical fibers that guide light through the inner retinal tissue."37
Muller cells span the entire thickness of the retina. "Individual Muller cells act as optical fibers. Furthermore, their parallel array in the retina is reminiscent of fiberoptic plates used for low-distortion image transfer. Thus, Muller cells seem to mediate image transfer through the vertebrate retina with minimal distortion and low loss."16
"The basic fiberoptic plate-like structure is especially characteristic for the retinae of all mammals with the exception of the fovea centralis of humans and higher primates, the region of our retina that is responsible for sharp vision; here, the photoreceptor cells are not obscured by any inner retinal layers at all."16
"Every mammalian Muller cell is coupled to one cone photoreceptor cell (responsible for sharp seeing under daylight conditions, i.e., photopic vision) plus a species-specific number of rod photoreceptor cells (about 10 in both man and guinea pig), serving low light level (scotopic) vision."16
"Light of relevant wavelengths for cone visual pigments is directed towards the cones, while light of wavelengths more suitable for rod vision is allowed to leak outside the Muller cells towards the surrounding rods."25
"The fundamental features of the array of glial cells are revealed as an optimal structure designed for preserving the acuity of images in the human retina. It plays a crucial role in vision quality, in humans and in other species."24
As usual, once we learn more about something in biology, evolutionist claims fall apart.
The vestigial organ idea helped fool millions of people into believing the theory of evolution. Today, this "proof" is down the toilet.
The Law of Biogenesis was established by Louis Pasteur three years after Darwin's book was published, and simply says that life only comes from life. Living cells divide to make new cells, and fertilized eggs and seeds develop into animals and plants, but chemicals never fall together and life appears. Evolutionists often call certain chemicals "the building blocks of life", giving people the false impression that you just stack the building blocks together and you get life. No one has ever done that, including the famous 1953 Miller/Urey experiment where all they got were clumps of amino acids. Many people mistakenly think scientists have made life from chemicals in the lab, but they have not (though many have tried very hard). If one were to succeed, you would know about it. He would get every science award there is, be all over the news, and have movies, books, buildings, statues, and schools dedicated to him, so desperate are evolutionists on this matter. For something to be a law of science, it can never be found to have been violated, even once, over thousands of trials. No exceptions. A theory that violates two laws of science is in big trouble.
When confronted with the Second Law of Thermodynamics, evolutionists usually use two tricks to try to escape. The first is to state that "it only applies to closed systems, and biological creatures are open systems, so it doesn't affect evolution" (they actually intend to say isolated, not closed, but we know what they mean). The fact is that the Second Law applies to all systems, open or closed, and to all actions and chemical reactions, from molecules to galaxies. The words "except for..." are not in this universal law. A thermodynamics system is simply any part of the universe we want to study. If we are doing an experiment in a bottle, the inside of the bottle is our system and the bottle itself is the "walls" of the system. There are only 3 kinds of systems: if no energy or matter can pass through the walls, it is an isolated system; if energy can pass through but matter cannot, it is a closed system; if both energy and matter can pass through the walls, it is an open system. Now, it is true that the laws of thermodynamics and entropy are defined in terms of isolated systems, because that is the simplest way to express them. However, experts who write textbooks on the subject are quick to say that isolated systems do not occur in nature. For practical applications, a procedure called the Legendre Transform mathematically converts entropy to a variable called Gibbs free energy that is useful for working with real-world systems. Most natural systems are open, but it is convenient to model them as closed. For example, even though a bacterium is an open system, modeling it as a closed system makes it easier to understand chemical reactions in it.2,8
You are an open system. You eat food (which comes from outside yourself) and your body survives and grows. Evolutionists believe that all we need is an open system with sufficient energy flowing into it for evolution to succeed. If that were so, you could just stand right behind a jet engine as the aircraft prepares for takeoff, absorb that blast of energy, and evolve to a higher life form. In reality, of course, you would be incinerated because absorbing energy without a mechanism to convert it to a useful form and employ it is destructive or useless. The mechanism must be very specific. Sticking food in your ear will not work; it must go into your mouth and through the digestive system. And the mechanism must be in place and functioning first, before energy is added, or the energy is wasted. The "closed system" ploy is just an attempt to avoid dealing with the Second Law because the Law prohibits any functioning biological mechanism from falling together by pure chance, without assistance or plan, using only the properties of matter.
The second trick they use is to say that "when you freeze water, the disordered molecules become beautifully ordered ice crystals or snowflakes. If water can bypass the Second Law and organize its molecules by a natural process, why not the chemicals of life?" At room temperature, water molecules are bouncing off each other and you have water. When you take away heat and they freeze, water molecules stick to each other with weak molecular bonds, forming ice crystals and snowflakes because of the shape of the H2O molecule. The same thing happens if you put a bunch of weak magnets in a jar and shake it. The magnets bounce around. When you stop, the magnets stick together. They are at a lower energy level. There is order, yet no complexity - just a simple repetitive structure that does not do anything. The Second Law is not bypassed or violated.
But guess what. Amino acid molecules that form proteins, and nucleotide molecules that form DNA and RNA resist combining at any temperature. To combine, they need the help of mechanisms in a living cell or a biochemist in an organic chemistry laboratory.18 It means that nothing happens in the primeval soup, the pond of chemicals where evolutionists believe life began.
DNA is made of only right-handed versions of nucleotides, while proteins are made of only left-handed versions of amino acids. Yet any random chemical reaction that produced nucleotides or amino acids would make an equal mix of left and right-handed versions of each. Even if the thousands of nucleotides needed to form a DNA molecule, or the hundreds of amino acids needed to form a protein molecule were able to combine from the mix, they would be a jumble of left and right-handed versions that could not function at all. This is the problem of "chirality", and evolutionists have never been able to solve it.
Ilya Prigogene coauthored a paper in 1972 that says in an open "system there exists a possibility for formation of ordered, low-entropy structures at sufficiently low temperatures. This ordering principle is responsible for the appearance of ordered structures such as crystals... Unfortunately this principle cannot explain the formation of biological structures."36 Prigogene won the Nobel Prize in Chemistry in 1977 for research on dissipative structures, such as tornados, for contributions to nonequilibrium thermodynamics, and for bridging the gap between biology and other sciences. Evolutionists wrongly claim he won for showing how thermodynamics could explain the formation of organized systems, from fluctuations in chaos, that lead to the origin of life. They thought he was their hero. Over thirty-five years later, nothing has come of it. There is no escape from the Second Law of Thermodynamics. It prohibits the spontaneous origin of life and macroevolution.
complexity - proteins
Cells are made of proteins, and everything that goes on in a creature involves proteins interacting with each other. See a brilliant animation of protein construction in this short clip from an Illustra Media video, with Dean Kenyon's comment.
Proteins are generally 50 to 2000 amino acids long; a typical one has about 300 amino acids.1 Ribosomes are molecular machines that build proteins in cells, using messenger RNA as the template. Here is an overview of how a bacterial ribosome "translates" RNA into protein. Every protein in bacteria is made this way.
A protein is not just a long ribbon of amino acids strung together from the DNA pattern. It folds itself into a 3D structure.
The temperature and chemical concentrations must be right for it to fold correctly, and many proteins get help from special proteins called "molecular chaperones". Chaperones can keep proteins separated from each other while they are folding, prevent mistakes in folding, and even unfold mistakes to give the protein a second chance to get it right. After helping one protein fold, a chaperone will go help another one fold.
Making and folding proteins goes on continuously throughout the body. Misfolding can lead to more than proteins that don't work. In humans, bunches of them (aggregates) can lead to diseases such as Alzheimer's, Huntington's, or sickle cell. "Proteins are so precisely built that the change of even a few atoms in one amino acid can sometimes disrupt the structure of the whole molecule so severely that all function is lost."1 All proteins stick (bind) to other molecules. But each can bind to only a few of the thousands it encounters. "An average protein in a human cell may interact with somewhere between 5 and 15 different partners."1 Their shapes fit each other like a hand in a glove. "Proteins can form enormously sophisticated chemical devices." "The most impressive tasks are carried out by large protein assemblies formed from many protein molecules." "Each of the central processes in a cell... is catalyzed by a highly coordinated, linked set of 10 or more proteins."1 The parts of a cell where proteins are made (ribosomes) are themselves made of many different proteins. "The complexity of living organisms is staggering."1 In the face of this breathtaking complexity, evolutionists have tried to find the basic things necessary for a cell to function. So far they have found 17 general categories1:
Each category requires many proteins. All have to be in place and working together or the cell is wrecked.
Scientists have found that the number of genes a creature has is not a good measure of how complex it is. For example, the human genome is 23 times larger than the fruit fly genome (3.2 billion base pairs versus 137 million), yet humans have less than twice the number of protein coding genes (21,000 versus 13,000) . Yeast has about 6,000 genes.
The main reason for biological complexity must be due to something else. "Alternative splicing" is an important part of it.
"Humans do not have many more genes than… mice, fruit flies, or worms. This observation raises the question of how humans can be so much more morphologically and behaviorally complex than these other metazoans."
"The average human gene contains eight exons and seven introns, producing an average of three or more alternatively spliced mRNA isoforms. 100% of human genes produce at least two alternative mRNA isoforms."
"It has become apparent that precursor messenger RNA (pre-mRNA) splicing can occur to a great extent that scales with organismal complexity. Indeed, although the mouse and human genomes contain similar numbers of genes, alternative pre-mRNA splicing occurs in >95 to 100% of human genes, compared with ~63% of mouse genes. Thus, one function of alternative splicing is to significantly expand the form and function of the human proteome. Alternative splicing can serve many regulatory functions."
"The spliceosome functions in a complex and dynamic assembly, reaction, and disassembly cycle in which five small nuclear ribonucleoprotein (snRNP) complexes (U1, U2, U4/U6, and U5) recognize and assemble on each intron to ultimately form a catalytically active spliceosome. Spliceosome assembly needs to occur every time an intron is removed from a pre-mRNA in a eukaryotic nucleus. The protein composition of the spliceosome dynamically changes as the assembly and subsequent catalytic steps occur.""Alternative splicing may be a key aspect related to the phenotypic complexity of Homo sapiens."-- Lee, Yeon, Donald C. Rio. 2015. Mechanisms and Regulation of Alternative Pre-mRNA Splicing. Annual Review of Biochemistry, Vol. 84, pp. 291-323.
The old view of proteins was that "each gene encodes a single protein, and each protein serves a single function. However, this orderly view of biology has turned out to be overly simplistic. Single genes can encode different proteins as a result of alternative splicing, and single proteins often serve multiple functions."
"Moonlighting functions are provided by other parts of the protein. Since the region devoted to the canonical [main] function of a protein occupies only part of the molecule, extensive regions are available for binding to other macromolecules."
"Correct orchestration of moonlighting functions requires that proteins must be either produced in, or directed to, different places in the right quantities and at the right times."
"An inescapable conclusion based upon the torrent of discoveries of moonlighting proteins is that cellular physiology is more complex than we imagined based upon the comfortable reductionist viewpoint in which each protein serves a single function."-- Copley, Shelley D. 2012. Moonlighting is mainstream: Paradigm adjustment required. Bioessays Vol. 34, No. 7, pp. 578–588.
So evolutionists have to believe that for each protein, pure chance laid out long strings of amino acids that fold themselves into the exact shapes needed to interact with other specialized proteins and, where needed, get help from chaperone proteins which themselves appeared by chance. The necessary proteins cannot be invented one at a time. Either they are all there, ready to work together, or nothing happens and they disintegrate. Yet even if it could design proteins, mutation-natural selection would only work on one at a time sporadically over many years. Considering just the complexity of proteins, the notion of creating them with mutation-natural selection is as silly as asking someone to build a television set with a spoon and a toothbrush. If Darwin had known what we have learned about proteins, he probably would have abandoned the theory of evolution.
Darwin himself wrote in chapter 6 of On the Origin of Species that "natural selection can act only by the preservation and accumulation of infinitesimally small inherited modifications, each profitable to the preserved being... If it could be demonstrated that any complex organ existed, which could not possibly have been formed by numerous, successive, slight modifications, my theory would absolutely break down."
It is true that just one copy of a gene needs to work right. There are many duplicate genes in DNA, and the idea is that they are free to change without hurting the creature.
But the duplicates are also protected from evolution theory's only "guiding force", natural selection. Any novel genes would have to mesh with the elaborate regulatory networks of living creatures, and do so completely randomly, without harmful mutations.
A review of many experiments with duplicate genes found that "duplication can and does facilitate important adaptations by tinkering with existing compounds". The "random mutations and recombinations considered were observed to tweak, tinker, copy, cut, divide, and shuffle existing genetic information around, but fell short of generating genuinely distinct and entirely novel functionality." "Gene duplication results in the copying and preservation of biological information, and not its transformation as something original." It is "insufficient in explaining the origination of the highly complex information pertinent to the essential functioning of living organisms." --Bozorgmehr, Joseph Esfandiar Hannon. 22 December 2010. Is Gene Duplication a Viable Explanation for the Origination of Biological Information and Complexity? Complexity, published online, DOI 10.1002/cplx.20365, pp. 1-14.
Below is a description of the second type - mismatch of base pairs. How do you suppose this mechanism evolved randomly?
Harmful mutations happen constantly. Without repair mechanisms, life would be very short indeed and might not even get started because mutations often lead to disease, deformity, or death. So even the earliest, "simple" creatures in the evolutionist's primeval soup or tree of life would have needed a sophisticated repair system. But the mechanisms not only remove harmful mutations from DNA, they would also remove mutations that evolutionists believe build new parts. The evolutionist is stuck with imagining the evolution of mechanisms that prevent evolution, all the way back to the very origin of life.
An article in the 7 September 2012 issue of Science was titled "ENCODE project writes eulogy for junk DNA". "This week, 30 research papers... sound the death knell for the idea that our DNA is mostly littered with useless bases. A decadelong project, the Encyclopedia of DNA Elements (ENCODE), has found that 80% of the human genome serves some purpose". "The ENCODE effort has revealed that a gene's regulation is far more complex than previously thought, being influenced by multiple stretches of regulatory DNA located both near and far from the gene itself and by strands of RNA not translated into proteins, so-called noncoding RNA."-- Pennisi, Elizabeth. 7 September 2012. Science, Vol. 337, pp. 1159-1161."Scientists' view of RNA has transformed over the past few decades. Once, most RNAs were thought to be relatively uninteresting pieces of limp spaghetti that ferried information between the molecules that mattered, DNA and protein. Now, biologists know that RNAs serve many other essential functions: they help with protein synthesis, control gene activity and modify other RNAs. At least 85% of the human genome is transcribed into RNA".
"RNA molecules typically exist as a linear string of nucleotides - or bases - for only an instant after they are produced from their template DNA. They quickly fold back on themselves, and complementary nucleotides pair up. They then contort further into complex 3D configurations, interact with proteins and other RNAs and change shape to carry out different jobs."-- Dolgin, Elie. A cellular puzzle: The weird and wonderful architecture of RNA. 23 July 2015. Nature, Vol. 523, No. 7561, pp. 398-399.
"To make sense of the genome, systems biologists think in terms of networks. If two kinds of proteins or other biological molecules interact, they are connected on the network." "These network diagrams... show how individual pathways crisscross to form a tangled web. Each protein in a pathway can interact with molecules in other pathways, sometimes dozens of them." Additionally, "systems biologists produce complex maps of how genes and proteins interact, and these maps help scientists analyze results from drug screening." "Cells 'talk' to each other by passing chemical signals back and forth. They also sense their physical surroundings through proteins on their surfaces called integrins. All these cues serve to orient the cells in the body and inform them about how to behave so that they cooperate with the rest of the cells in the tissue." "The cells are not complete by themselves. They need signals from outside," says Mina J. Bissell of Lawrence Berkeley National Laboratory. "The unit of function literally is the tissue."-- Patrick Barry. April 5, 2008. You, in a dish: cultured human cells could put lab animals out of work for chemical and drug testing. Science News, Vol. 173, No. 14, pp. 218-220.
"The interesting point coming out of all these studies is how complex these systems are; the different feedback loops and how they cross-regulate each other and adapt to perturbations are only just becoming apparent. The simple pathway models are a gross oversimplification of what is actually happening", says Mike Tyers, a systems biologist at the University of Edinburgh, UK.-- Blow, Nathan. 16 July 2009. Untangling the protein web. Nature, Vol. 460, pp. 415-418."The life of every organism depends crucially on networks of interacting proteins that detect signals and generate appropriate responses. Examples include chemotaxis, heat shock response, sporulation, hormone secretion, and cell-cycle checkpoints."
"When the information in molecular mechanisms that underlie the adaptive behaviour of living cells is laid out in graphical form, the molecular network looks strikingly similar to the wiring diagram of a modern electronic gadget. Instead of resistors, capacitors and transistors hooked together by wires, one sees genes, proteins and metabolites hooked together by chemical reactions and intermolecular interactions."
"Certain feedback and feedforward signals can create diverse types of responses: sigmoidal switches (buzzers), transient responses (sniffers), hysteretic switches (toggles), and oscillators (blinkers). From these components, nature has constructed regulatory networks of great complexity. With accurate mathematical representations of the individual components, we can assemble a computational model of any such network" using "differential equations, limit cycles and bifurcation diagrams."
"Complex molecular networks, like electrical circuits, seem to be constructed from simpler modules: sets of interacting genes and proteins that carry out specific tasks and can be hooked together by standard linkages."-- Tyson, John J., Katherine C. Chen, Bela Novak. 2003. Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. Current Opinion in Cell Biology, Vol. 15, No. 2, pp. 221–231.
This is a map of how the genes in a cell of the budding yeast Saccharomyces cerevisiae interact with one another. Each color shows what a group of genes does. Genes in these functional networks interact with other genes throughout the cell; a cell of yeast.
By 2010, real biologists had determined that gene regulatory networks (GRNs) build and operate all living things. There are gene regulatory networks for everything that happens in them, and some networks control other networks in a chain of command. Each species has a body plan, and it is encoded in the DNA. "Development of the body plan is caused by the operation of GRNs". "Embryonic development is an enormous informational transaction, in which DNA sequence data generate and guide the system-wide spatial deployment of specific cellular functions." That is, an embryo grows because GRNs tell other GRNs what to do at the right time and place and in the right order; it is tremendously complex. GRNs then guide the development of different types of cells, organs, and growth of the embryo into an adult. They also control each creature's abilities and the way it responds to changes around it. Among the most studied are sea urchins, which are low on the evolutionist's "tree of life".
An embryo has a particular growth program for the type of creature it will develop into. Yet it is likely that all the different programs are constructed from just a few types of sub-circuits. "Structurally similar sub-circuits, but composed of different regulatory genes" do "similar developmental jobs in different GRNs." This discovery gives researchers hope that they can use these "modules of developmental logic function" to decipher the "enormous mazes of interconnections in system level GRNs". You can tell what a sub-circuit does by its shape or structure. There is a sub-circuit for each task, and GRNs are made up of sub-circuits. The same control processes are used "throughout embryonic development because the problems that have to be solved are general: the initial spatial inputs have to be interpreted, the regulatory state then has to be locked down (the initial inputs are always transient), signals have then to be generated, other states have to be excluded, and differentiation drivers have to be activated. It is not surprising that all this requires a lot of sequential circuitry."
GRNs in embryos "are hierarchical in their overall structure. Their depth reflects the long sequence of regulatory steps required to complete any component of embryonic development." A GRN might have many layers of sub-circuits or very few, depending on its job. The last step in the chain of command is the signal for "batteries" (groups) of genes to change stem cells into specific types of cells (such as muscle, blood, nerve, etc.) at the right place.-- Davidson, Eric H. 16 December 2010. Emerging properties of animal gene regulatory networks. Nature, Vol. 468, pp. 911-920.
Some evolutionists have publicly welcomed GRNs because a change in one controller can affect many genes, and we are back to simplicity. That is like saying a child can use Windows operating system on a computer. Just point and click with a mouse, and the computer does many complicated things. It is simplicity itself. So why are GRNs the death blow to evolution theory? It took computer and software engineers decades of intelligent design to build the computer and operating system. GRNs are the operating system of living things. The theory of evolution cannot explain how gene regulatory networks came to be. As with other insurmountable problems with the theory, this one remains in their pile marked "needs further study".
Today there is an explosion of knowledge going on in the study of gene regulatory networks. But it is not led, assisted, or even inspired by the theory of evolution. "We have little empirical knowledge on the evolutionary history of such networks."-- Dean, Antony M., Joseph W. Thornton. September 2007. Mechanistic approaches to the study of evolution: the functional synthesis. Nature Reviews Genetics, Vol. 8, pp. 675-688.
Some of the things GRNs have been found to do:
-- Erwin, Douglas H., Eric H. Davidson. February 2009. The evolution of hierarchical gene regulatory networks. Nature Reviews Genetics, Vol. 10, pp. 141-148.
Mutation-natural selection could no more build the vast, intricate networks in living creatures than a beaver could build the Hoover dam.
To the next level
"Increasingly, leaders in the fields of systems biology realise that it is our inability to understand and model the true underlying complexity of whole biological systems (as opposed to their reduced parts) that is holding back deep physiological understanding of organisms: truly understanding biology involves getting to grips with unimaginable complexity".-- Moore, Andrew. 2012. Bringing systems biology to the clinic: An acute case. Bioessays Vol. 35, No. 1, pg. 1.
"The protein p53, for example, was discovered in 1979." "It soon gained notoriety as a tumor suppressor - a 'guardian of the genome' that stifles cancer growth by condemning genetically damaged cells to death. Few proteins have been studied more than p53."
"Researchers now know that p53 binds to thousands of sites in DNA, and some of these sites are thousands of base pairs away from any genes. It influences cell growth, death, structure and DNA repair. It also binds to numerous other proteins." "Through a process known as alternative splicing, p53 can take nine different forms, each of which has its own activities and chemical modifiers. Biologists are now realizing that p53 is also involved in processes beyond cancer, such as fertility and very early embryonic development."
Research "has dismantled old ideas about signaling 'pathways', in which proteins such as p53 would trigger a defined set of downstream consequences. 'When we started out, the idea was that signaling pathways were fairly simple and linear,' says Tony Pawson, a cell biologist at the University of Toronto in Ontario. 'Now, we appreciate that the signaling information in cells is organized through networks of information rather than simple discrete pathways. It's infinitely more complex.' "
"Systems biology was supposed to help scientists make sense of the complexity. The hope was that by cataloguing all the interactions in the p53 network, or in a cell, or between a group of cells, then plugging them into a computational model, biologists would glean insights about how biological systems behaved."
Unfortunately, "there is no way to gather all the relevant data about each interaction". "In many cases, the models themselves quickly become so complex that they are unlikely to reveal insights about the system, degenerating instead into mazes of interactions". "Many of the mechanisms and principles governing inter- and intracellular behavior are still a mystery."-- Hayden, Erika Check. 1 April 2010. Life is Complicated. Nature, Vol. 464, pp. 664-667.
When cells repair damaged DNA using so-called "replicate DNA" (for making copies) or "transcribe DNA" (the first step in making a protein), the parts are rapidly assembled from a pool of parts floating in the nucleus of a cell to form "factories". The size of a repair center is according to the amount of damage it has to repair. "A replication factory persists for a few minutes before it disassembles. A new factory is then assembled... immediately adjacent to the previous one". Whether it is repair, replication, or transcription, once the job is done the "factories" disassemble and the parts float back into the pool.32
Chromatin is DNA packaged into chromosomes. Chromatin is in constant motion.3 Different sections along DNA are apparently guided to each other directly and rapidly, forming loops.11 Chromatin loops are very common. Loops range in size from thousands to hundreds-of-thousands of bases long. Loops bring together genes and their regulators to form "transcription hubs" where transcription can occur.32 "Long-range interactions can occur over very large genomic distances, up to tens of megabases". "Interactions occur not only along chromosomes, but also between them." "Chromosomes extensively interact with each other"42, and neighboring chromosomes intermingle.32
There is a "bewildering complexity in long-range communication among a variety of genomic elements across chromosomes and the genome."42
The Bottom Line
In spite of overwhelming evidence that the theory of evolution is dead wrong, many are not ready to throw in the towel. They desperately hope that some natural process will be found that causes things to fall together into organized complexity. These are people of great faith. And they are so afraid of connecting God with science that, like the Japanese Army of World War II, they would rather die than surrender. Unfortunately, the staunchest defenders sit in places of esteem and authority as professors, scientists, and editors, and have the full faith of the news media. The public is naturally in awe of their prestige. But once the facts are understood it becomes obvious that the theory of evolution is long overdue for the trash can, and to perpetuate it is fraud. Perhaps it made sense for what was known when On the Origin of Species was published in 1859, but not today.
Many scientists are with us
"Much of Dawkins’s research has been... writing programs for evolutionary simulations. In his simulations, life is utterly determined by genes, which specify developmental rules and fixed traits such as colour. The more lifelike his digital animals ('biomorphs') become, the more persuaded he is that real genes work in roughly the same way."
"A curious stasis underlies Dawkins’s thought. His biomorphs are grounded in 1970s assumptions. Back then, with rare exceptions, each gene specified a protein and each protein was specified by a gene. The genome was a linear text - a parts list or computer program for making an organism - insulated from the environment, with the coding regions interspersed with 'junk'."
"Today’s genome is much more than a script: it is a dynamic, three-dimensional structure, highly responsive to its environment and almost fractally modular. Genes may be fragmentary, with far-flung chunks of DNA sequence mixed and matched in bewildering combinatorial arrays. A universe of regulatory and modulatory elements hides in the erstwhile junk."
"Dawkins’s synopsis shows that he has not adapted to this view." "The microbiome and the 3D genome go unnoticed. Epigenetics is an 'interesting, if rather rare, phenomenon' enjoying its 'fifteen minutes of pop science voguery' ". "Dawkins adheres to a deterministic language of 'genes for' traits."
"In the early 2000s, he saltated from popularizer into evangelist." Along with Christopher Hitchens, Daniel Dennett and Sam Harris, his writings "form the scripture of the 'new atheism', a fundamentalist sect that has mounted a scientistic crusade against all religion.
"For a time, Dawkins was a rebellious scientific rock star. Now, his critique of religion seems cranky, and his immovably genocentric universe is parochial."-- Comfort, Nathaniel. 10 September 2015. Dawkins, redux. Nature, Vol. 525, No. 7568, pp. 184-185.
Some revealing quotes
Ernst Chain (1906-1979) and two
others were awarded the 1945 Nobel Prize for Physiology or Medicine.
Chain identified the structure of penicillin, and isolated
the active substance. He is considered to be one of the founders
of the field of antibiotics. Concerning Darwin's theory of
evolution, Chain found it to be "a very feeble attempt"
to explain the origin of species based on assumptions so flimsy
that "it can hardly be called a theory."A He saw
the reliance on chance mutations as a "hypothesis based on
no evidence and irreconcilable with the facts."B He
wrote: "These classic evolutionary theories are a gross
oversimplification of an immensely complex and intricate mass of
facts, and it amazes me that they were swallowed so uncritically
and readily, and for such a long time, by so many scientists without
a murmur of protest."B Chain concluded that he "would
rather believe in fairies than in such wild speculation" as
Darwinism.A He was born in Berlin, Germany, and obtained his
Ph.D. in biochemistry and physiology there. He worked as a
research scientist at Cambridge (also studying for a Ph.D. there),
at Oxford University until 1948, and then as a professor and researcher
at several other universities. In 1938, Chain came across
Alexander Fleming's 1929 paper on penicillin, and showed it to his
colleague Howard Florey. In their research, Chain isolated
and purified penicillin.--Jerry Bergman, Ph.D. April 2008.
Ernst Chain: Antibiotics Pioneer. Acts&Facts, Vol. 37, No. 4,
"My experiences with science led me to God. To be forced to believe only one conclusion -- that everything in the universe happened by chance -- would violate the very objectivity of science itself. Certainly there are those who argue that the universe evolved out of a random process, but what random process could produce the brain of a man or the system of the human eye? Some people say that science has been unable to prove the existence of a Designer... They challenge science to prove the existence of God. But, must we really light a candle to see the sun?" --Wernher von Braun 1912 - 1977
Richard C. Strohman, professor emeritus of molecular and cell biology at Berkeley, and an evolutionist, wrote in the March 1997 edition of Nature Biotechnology: "There is a striking lack of correspondence between genetic and evolutionary change. Neo-Darwinian theory predicts a steady, slow continuous, accumulation of mutations (microevolution) that produces a progressive change in morphology leading to new species, genera, and so on (macroevolution). But macroevolution now appears to be full of discontinuities (punctuated evolution), so we have a mismatch of some importance. That is, the fossil record shows mostly stasis, or lack of change, in a species for many millions of years; there is no evidence there for gradual change even though, in theory, there must be a gradual accumulation of mutations at the micro level." "We currently have no adequate explanation for stasis or for punctuated equilibrium in evolution, or for higher order regulation in cells." "We seem to lack any scientific basis with which to explain, for example, evolution." "Not necessarily so. It does suggest, however, that our evolutionary theory is incomplete." "The theory is in trouble because it insists on locating the driving force solely in random mutations." "It is becoming clear that sequence information in DNA, by itself, contains insufficient information for determining how gene products (proteins) interact to produce a mechanism of any kind. The reason is that the multicomponent complexes constructed from many proteins are themselves machines with rules of their own; rules not written in DNA." "The rules... of brain formation are not reducible to genetic maps and to the rules of genetic theory. Each higher level of organization has its own rules, and there is no continuous gradual transition from one level or hierarchy to the other." "We have been lulled into reasoning that if the gene theory works at one level--from DNA to protein--it must work at all higher levels as well. We have thus extended the theory of the gene to the realm of gene management. But gene management is an entirely different process, involving interactive cellular processes that display a complexity that may only be described as transcalculational, a mathematical term for mind boggling." "Understanding of complex function may in fact be impossible without recourse to influences outside of the genome."--Richard C. Strohman. March 1997. The coming Kuhnian revolution in biology. Nature Biotechnology, Vol. 15, pp. 194-200.
Sean B. Carroll, of the Medical Institute and Laboratory of Molecular Biology at the University of Wisconsin--Madison, wrote in a 2001 edition of Nature: "A long-standing issue in evolutionary biology is whether the processes observable in extant populations and species (microevolution) are sufficient to account for the larger-scale changes evident over longer periods of life's history (macroevolution). Outsiders to this rich literature may be surprised that there is no consensus on this issue."-- Sean B. Carroll. 8 February 2001. Nature, Vol. 409, p. 669.
A symposium on evolution was held at the European Molecular Biology Laboratory in Heidelberg, Germany in November 2001, organized by PhD students. The meeting report says that "the symposium ended with a panel discussion about questions of microevolution (evolution within the species) and macroevolution (evolution after speciation). The issue at stake was whether extrapolation from the selection theory operating on organisms is sufficient to explain all patterns of macroevolution. In other words, do we need an independent body of theory to explain the changes occurring above, as opposed to at, the species level? There was no general agreement among the panel members. It seems that the jury is still out on this important question."-- Gaspar Jekely. 2002. Meeting report - Evolution in a nutshell. European Molecular Biology Organization reports, Vol. 3, No. 4, pp. 307-311.
"Biology has been re-integrated twice already, first by Darwin in 1859 and then during the 'Modern Synthesis' of the 1920s and 1930s. In both cases, the success of these syntheses rested in part on ignorance. Charles Darwin could reasonably integrate biology in the 19th Century on a relatively elegant evolutionary foundation partly because a great deal was not yet known about cellular and biochemical machinery." "Like Darwin's synthesis, the form of the Modern Synthesis was shaped in part by ignorance of important features of life that were at the time unknown to science. Specifically, the molecular biology of the cell remained largely unknown." "The view of life that most biologists had from 1935 to 1965 was highly simplified. Some of the assumptions at the foundation of the Modern Synthesis started to crumble in the 1970s. Common mid-20th Century assumptions about how cells, organisms, and species work have thus been undermined." "This might seem like reason for despair about the future of biology, but there are two mitigations to consider. First, this complexity was always there. Darwin and many later biologists realized that their simple models were erected like piers over swampy ground. They just didn't know how deep the muck was. Second, we now have powerful genomic tools for addressing complex phenomena throughout biology." "Some may feel that the view of life supplied by nascent 21st Century biology is painfully complicated, if not perverse. For our part, we think that the historical complexity and versatility that we now know to characterize life are inspiring and challenging." "The fundamental landscape of biology is undergoing a major upheaval, much as it did in the first decades of the 20th Century. This upheaval will take time to fully reveal its implications."-- Michael R. Rose, Todd H. Oakley. 24 November 2007. The new biology: beyond the Modern Synthesis. Biology Direct, 2:30, 17 pages (published online). Michael Rose is an evolutionary biologist at the University of California, Irvine.
of Life" research, continued
The mainstream prebiotic evolutionary scenario is the "RNA world".S "Textbooks often assert that life began with specialized complex molecules, such as RNA, that are capable of making their own copies. This scenario has serious difficulties, but an alternative has remained elusive."S "We do not know how the transition to digitally encoded information has happened in the originally inanimate world; that is, we do not know where the RNA world might have come from."V"An alternative appears to be necessary for the RNA-centric paradigm of the origin of life."S "No known cellular constituent is capable of self-replication in pure form. Even DNA is absolutely dependent on other cellular components for making its own copies."S "One is compelled to consider an alternative: that self-replication has never been a property of individual molecules, but rather one of molecular ensembles."S
"The crucial origin of life question then becomes how natural selection was initiated by some molecular assortments, irrespective of their exact chemistry."S "Life on our planet could have begun as a random chemistry melting pot, a 'garbage-bag world' with myriads of different chemical configurations."S "A complex chain of evolutionary events, yet to be deciphered, could then have led to the common ancestors of today's free-living cells, and to the appearance of DNA, RNA and protein enzymes."S"Was a network of chemical reactions able to increase in complexity and eventually undergo Darwinian selection?"V "We demonstrate here that replication of compositional information is so inaccurate that fitter compositional genomes cannot be maintained by selection and, therefore, the system lacks evolvability."V "The computed population dynamics of growing noncovalent molecular assemblies that undergo splitting when a critical size is reached clearly illustrates that compositional assemblies do not evolve."V "We conclude that this fundamental limitation of ensemble replicators cautions against metabolism-first theories of the origin of life."V "We now feel compelled to abandon compositional inheritance as a jumping board toward real units of evolution."V
S -- Segre, Daniel, Doron Lancet. 2000. Composing life. European Molecular Biology Organization (EMBO) Reports, Vol. 1, No. 3, pp. 217-222.
V -- Vasas, Vera, Eors Szathmary, Mauro Santos. January 26, 2010. Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life. Proceedings of the National Academy of Sciences of the United States of America (PNAS), Vol. 107, No. 4, pp. 1470-1475.
So neither approach works.
Here are excerpts from candid reports by two scientists who have spent many years in "origin of life" research. These men support evolution, but insist that experimental evidence back up every claim.
This is "what has been called the NASA definition of life: Life is a self-sustained chemical system capable of undergoing Darwinian evolution." "Richard Dawkins elaborated on this image of the earliest living entity in his book The Selfish Gene: 'At some point a particularly remarkable molecule was formed by accident. We will call it the Replicator. It may not have been the biggest or the most complex molecule around, but it had the extraordinary property of being able to create copies of itself.' When Dawkins wrote these words 30 years ago, DNA was the most likely candidate for this role." "Unfortunately... DNA replication cannot proceed without the assistance of a number of proteins". So "which came first, the chicken or the egg? DNA holds the recipe for protein construction. Yet that information cannot be retrieved or copied without the assistance of proteins. Which large molecule, then, appeared first in getting life started--proteins (the chicken) or DNA (the egg).?"
"A possible solution appeared when attention shifted to a new champion--RNA." According to this view, "life began with the appearance of the first RNA molecule. In a... 1986 article, Nobel Laureate Walter Gilbert of Harvard University wrote in the journal Nature: 'One can contemplate an RNA world, containing only RNA molecules that serve to catalyze the synthesis of themselves. The first step of evolution proceeds then by RNA molecules performing the catalytic activities necessary to assemble themselves from a nucleotide soup.' In this vision, the first self-replicating RNA that emerged from non-living matter carried out the functions now executed by RNA, DNA and proteins." "Perhaps two-thirds of scientists publishing in the origin-of-life field... still support the idea that life began with the spontaneous formation of RNA or a related self-copying molecule."
"How did that first self-replicating RNA arise?" Most people know of an "experiment published in 1953 by Stanley Miller. He applied a spark discharge to a mixture of simple gases that were then thought to represent the atmosphere of the early Earth. Two amino acids of the set of 20 used to construct proteins were formed in significant quantities, with others from that set present in small amounts." "Some writers have presumed that all of life's building blocks could be formed with ease in Miller-type experiments and were present in meteorites and other extraterrestrial bodies. This is not the case."
"A careful examination of the results of the analysis of several meteorites led the scientists who conducted the work to a different conclusion: inanimate nature has a bias toward the formation of molecules made of fewer rather than greater numbers of carbon atoms, and thus show no partiality in favor of creating the building blocks of our kind of life." "RNA's building blocks, nucleotides, are complex substances as organic molecules go." "Amino acids, such as those produced or found in these experiments, are far less complex than nucleotides". "No nucleotides of any kind have been reported as products of spark discharge experiments or in studies of meteorites."
"To rescue the RNA-first concept from this otherwise lethal defect, its advocates have created a discipline called prebiotic synthesis. They have attempted to show that RNA and its components can be prepared in their laboratories in a sequence of carefully controlled reactions." Finding "a specific organic chemical in any quantity... would justify its classification as 'prebiotic,' a substance that supposedly had been proved to be present on the early Earth. Once awarded this distinction, the chemical could then be used in pure form, in any quantity, in another prebiotic reaction. The products of such a reaction would also be considered 'prebiotic' and employed in the next step in the sequence." "Unfortunately, neither chemists nor laboratories were present on the early Earth to produce RNA." "The analogy that comes to mind is that of a golfer, who having played a golf ball through an 18-hole course, then assumed that the ball could also play itself around the course in his absence. He had demonstrated the possibility of the event; it was only necessary to presume that some combination of natural forces (earthquakes, winds, tornadoes and floods, for example) could produce the same result, given enough time."
"Many chemists, confronted with these difficulties, have fled the RNA-first hypothesis as if it were a building on fire. One group, however, still captured by the vision of the self-copying molecule, has opted for an exit that leads to similar hazards. In these revised theories, a simpler replicator arose first and governed life in a 'pre-RNA world.' Variations have been proposed in which the bases, the sugar or the entire backbone of RNA have been replaced by simpler substances, more accessible to prebiotic syntheses. Presumably, this first replicator would also have the catalytic capabilities of RNA. Because no trace of this hypothetical primal replicator and catalyst has been recognized so far in modern biology, RNA must have completely taken over all of its functions at some point following its emergence."
"Further, the spontaneous appearance of any such replicator without the assistance of a chemist faces implausibilities that dwarf those involved in the preparation of a mere nucleotide soup. Let us presume that a soup enriched in the building blocks of all of these proposed replicators has somehow been assembled, under conditions that favor their connection into chains. They would be accompanied by hordes of defective building blocks, the inclusion of which would ruin the ability of the chain to act as a replicator." "There is no reason to presume that an indifferent nature would not combine units at random".
"Probability calculations could be made, but I prefer a variation on a much-used analogy. Picture a gorilla (very long arms are needed) at an immense keyboard connected to a word processor. The keyboard contains not only the symbols used in English and European languages but also a huge excess drawn from every other known language and all of the symbol sets stored in a typical computer. The chances for the spontaneous assembly of a replicator in the pool I described above can be compared to those of the gorilla composing, in English, a coherent recipe for the preparation of chili con carne. With similar considerations in mind, Gerald F. Joyce of the Scripps Research Institute and Leslie Orgel of the Salk Institute concluded that the spontaneous appearance of RNA chains on the lifeless Earth 'would have been a near miracle.' I would extend this conclusion to all of the proposed RNA substitutes that I mentioned above." "Nobel Laureate Christian de Duve has called for 'a rejection of improbabilities so incommensurably high that they can only be called miracles, phenomena that fall outside the scope of scientific inquiry.' DNA, RNA, proteins and other elaborate large molecules must then be set aside as participants in the origin of life."
What is left? Theories that "employ a thermodynamic rather than a genetic definition of life, under a scheme put forth by Carl Sagan in the Encyclopedia Britannica: A localized region which increases in order (decreases in entropy) through cycles driven by an energy flow would be considered alive." "I estimate that about a third of the chemists involved in the study of the origin of life subscribe to theories based on this idea."
It requires: "1) A boundary... to separate life from non-life." "2) An energy source". "3) A coupling mechanism must link the release of energy to the organization process that produces and sustains life. The release of energy does not necessarily produce a useful result. Chemical energy is released when gasoline is burned within the cylinders of my automobile, but the vehicle will not move unless that energy is used to turn the wheels. A mechanical connection, or coupling, is required." "4) A chemical network must be formed, to permit adaptation and evolution" "on a path that leads to increased organization." "5) The network must grow and reproduce." "We can imagine, on the early Earth, a situation where many startups of this type occur, involving many alternative driver reactions and external energy sources. Finally, a particularly hardy one would take root and sustain itself." "A system of reproduction must eventually develop." "Once independent units were established, they could evolve in different ways and compete with one another for raw materials; we would have made the transition from life that emerges from nonliving matter through the action of an available energy source to life that adapts to its environment by Darwinian evolution." "Many further steps in evolution would be needed to 'invent' the elaborate mechanisms for replication and specific protein synthesis that we observe in life today." They "would not reveal the specific events that led to the familiar DNA-RNA-protein-based organisms of today."
of the type I have described usually have been classified under
the heading 'metabolism first', which implies that they do not contain
a mechanism for heredity. In other words, they contain no
obvious molecule or structure that allows the information stored
in them (their heredity) to be duplicated and passed on to their
descendants." "Over the years, many theoretical
papers have advanced particular metabolism first schemes, but relatively
little experimental work has been presented in support of them."
"They have not yet demonstrated the operation of a complete
cycle or its ability to sustain itself and undergo further evolution.
A 'smoking gun' experiment displaying those three features
is needed to establish the validity of the small molecule approach."
"The feasibility of any particular proposed prebiotic cycle must depend on arguments about chemical plausibility, rather than on a decision about logical possibility." The metabolic cycles that have been identified by biochemists are of two kinds: simple cycles and autocatalytic cycles. The citric acid cycle" is an example of a simple cycle. "The reverse citric acid cycle" is an example of an autocatalytic cycle. "Each molecule of citric acid introduced into the cycle results... in the generation of two molecules of citric acid." "That is why the cycle is described as autocatalytic." "The proposal that the reverse citric acid cycle operated... on the primitive Earth has been a prominent feature of some scenarios for the origin of life."
"A different kind of autocatalytic cycle, which has no analog in biochemistry, has been hypothesized by Stuart Kauffman to self-organize spontaneously whenever amino acids condense together to form peptides." "Could prebiotic molecules and catalysts plausibly have the attributes... to make the self-organization of the cycles possible?"
"The identification of a cycle of plausible prebiotic reactions is a necessary but not a sufficient step toward the formulation of a plausible self-organizing prebiotic cycle. The next, and more difficult step, is justifying the exclusion of side reactions that would disrupt the cycle." "It is not completely impossible that sufficiently specific mineral catalysts exist for each of the reactions of the reverse citric acid cycle, but the chance of a full set of such catalysts occurring at a single locality on the primitive Earth in the absence of catalysts for disruptive side reactions seems remote in the extreme."
"It has sometimes been implied or claimed that [autocatalytic] cycles are not only stable, but also are capable of evolving to form nonenzymatic networks of great complexity. Genetic materials are then seen as late additions to already fairly complex evolved life forms. According to this view, a genetic material merely adds stability to systems that already have a substantial 'information content'. "
"One way of achieving something useful might be to use one of the constituents of the core cycle as the starting point of a second independent autocatalytic cycle." "Another suggestion that might be explored is the possibility of a side reaction generating a catalyst for one of the reactions of the core cycle." "However, neither of these possibilities, nor any others with which I am familiar explains how a complex, interconnected family of cycles capable of evolution could arise or why it should be stable." "What is essential, therefore, is a reasonably detailed description, hopefully supported by experimental evidence, of how an evolvable family of cycles might operate." "Without such a description, acceptance of the possibility of complex nonenzymatic cyclic organizations that are capable of evolution can only be based on faith, a notoriously dangerous route to scientific progress."
"Kauffman takes it for granted that if it is possible to write down on paper a closed peptide cycle and a set of catalyzed ligations leading from monomeric amino acids to the peptides of the cycle, then that cycle would self-organize spontaneously and come to dominate the chemistry of a reaction system. This... is unlikely because peptide molecules do not have the properties that Kauffman assigns to them." "I have also explored a number of alternative systems with different numbers of amino acids or with inputs of random families of short peptides, and I find that they all encounter similar or more severe difficulties."
"Kauffman assumes that, in sufficiently concentrated solution, the naturally occurring amino acids or some subset of them would condense spontaneously to form a mixture of long peptides in substantial yield. In practice, this would not happen." "The catalytic properties of enzymes are remarkable. They not only accelerate reaction rates by many orders of magnitude, but they also discriminate between potential substrates that differ very slightly in structure. Would one expect similar discrimination in the catalytic potential of peptides of length ten or less? The answer is clearly 'no', and it is this conclusion that ultimately undermines the peptide cycle theory."
"Protein catalysis is dependent on the stable three-dimensional structures of enzymes and enzyme-substrate complexes. Highly specific catalytic activity could only be expected from short peptides if they, too, adopted stable structures." "In fact, short peptides rarely form stable structures, and when they do, the structures are only marginally stable. The synthesis of a decapeptide that would catalyze the ligation in the correct order of two particular pentapeptides out of a mixture of ten pentapeptides that are required to form the five cycle components, while failing to bring about any of the other possible ligations, would present an extremely difficult challenge to peptide chemistry. It seems certain that the additional requirement that this peptide should also catalyze specifically many of the reactions leading from amino acids to the pentamer precursors of the decamers of the cycle could never be met. Of course, the decamers need not be formed only from pairs of pentamers, but the difficulties are no less severe for more complex synthetic networks. There are a number of possible ways in which this difficulty might be circumvented, but none seems relevant to the origin of life." "It is unlikely, therefore, that Kauffman's theory describes any system relevant to the origin of life."
"It is essential to subject metabolist proposals to the same kind of detailed examination and criticism that has rightly been applied to genetic theories." "Because little experimental work has been attempted, appraisal must be based on chemical plausibility." "The lack of a supporting background in chemistry is even more evident in proposals that metabolic cycles can evolve to 'life-like' complexity. The most serious challenge to proponents of metabolic cycle theories--the problems presented by the lack of specificity of most nonenzymatic catalysts--has, in general, not been appreciated. If it has, it has been ignored."
"Theories of the origin of life
based on metabolic cycles cannot be justified by the inadequacy
of competing theories: they must stand on their own." "Experimental
proof that such cycles are stable against the challenge of side
reactions is even more important." "The prebiotic
syntheses that have been investigated experimentally almost always
lead to the formation of complex mixtures. Proposed
polymer replication schemes are unlikely to succeed except with
reasonably pure input monomers. No solution of the
origin-of-life problem will be possible until the gap between the
two kinds of chemistry is closed." "Solutions offered
by supporters of geneticist or metabolist scenarios that are dependent
on 'if pigs could fly' hypothetical chemistry are unlikely to help."
"tree of life"
(meaning "above" genetics, as in controlling elements)
Here is some of what real molecular biologists have learned, beginning with a March 2008 report in Science News magazine: "Many people regard ribonucleic acid, as RNA is formally known, as 'just a middleman between DNA and protein,' says Claes Wahlestedt, a neuroscientist and genome researcher at the Scripps Research Institute in Jupiter, Fla. Shuttling genetic information from DNA to a cell's protein factories has long been recognized as RNA's day job, summarized" as "DNA makes RNA makes protein." "Some researchers estimate that as much as 98 percent of the human genome is copied into RNA, says Sofie Salama of the University of California, Santa Cruz." "Initial observations of the genome showed islands of protein-coding genes separated by vast oceans of DNA--sometimes called junk DNA--where nothing happened. That would mean that only about 2 percent of the human genome is transcribed into RNA. But recent efforts to map all of the RNA transcripts show that virtually every base pair of DNA in the human genome is copied into at least one RNA molecule."
"More than 20 classes of noncoding RNA have been discovered in the past decade. Many of these RNAs are much smaller than their protein-coding cousins, the messenger RNAs. Some noncoding RNAs contain a mere 20 nucleotides, the chemical units corresponding to letters in the genetic alphabet. Scientists used to throw away such short bits of RNA, thinking the tiny pieces were nothing more than breakdown products of larger molecules--basically garbage, Wahlestedt says."
"Researchers now know that noncoding RNAs get involved in virtually everything that happens in or to a cell, says Georges St. Laurent III, a computational and molecular biologist at George Washington University in Washington, D.C." "They monitor temperature, chemical conditions, electrical currents, and other signals from the environment and then tell the cell how to respond."
"One class of noncoding RNAs, known as microRNAs, modulates production of proteins. MicroRNAs get their name from their minuscule size--most are only about 22 nucleotides long. These short pieces of RNA find and bind to complementary sequences in messenger RNAs. Usually that binding causes the ribosome, the protein-building machinery in a cell, to grind to a halt. The ribosome remains paused until other signals allow it to resume making protein or until the RNA message is destroyed." " 'It's not only important that you make a particular protein, but when and where you make it,' Salama says."-- Tina Hesman Saey. March 1, 2008. Micromanagers: New classes of RNAs emerge as key players in the brain. Science News, Vol. 173, No. 9, pp. 136-137.
Non-coding RNAs have risen from "junk" to "drivers of complexity".42 "Sequencing the genomes of 85 species has revealed that in any given organism, increasing biological complexity is correlated with an increasing number of non-protein-coding DNA sequences and not, as previously assumed, with an increasing number of protein-coding genes."42 "The sheer number of non-coding RNAs is estimated in the 100s of thousands."15 "It is clear that tens of thousands may operate within a cell".42
"Interference and activation can be caused by the same transcript".4 "A large part of the transcriptional activity in the human genome is derived from repeat sequences".42 "Repeat elements... occupy 40-45% of a typical mammalian genome".4 "Alu repetitive elements constitute 10% of the human genome".31 "Repeat elements, such as the Alu family in humans and B2 in mice have provided regulatory signals for RNA PolII transcription."7 "Some of the Alu elements... may have functions in stress response, chromatin organization or signaling events in the early embryo. Alu transcripts are... activated by heat shock and DNA damaging agents".42
There are levels of non-coding RNA regulation that have yet to be discovered.42 Studying the old "junk" transcripts can lead to understanding hidden layers of cell regulation and how deregulation can lead to the understanding of human disease.42 "The scientific community is getting more aware of the importance of the formerly abandoned 'junk' DNA. What we have learned so far is likely just the tip of the iceberg."42
It is clear that biological complexity depends less on gene number and more on how those genes are used. Researchers are realizing that regulation is on multiple levels32; there are intricate feedback loops.6 Stretches of DNA can be inactivated by attaching methyl groups. Tiny embryos need to grow according to a body plan organized in steps that have to happen at the right time in the right sequence. Their cells use timers and spatial signals to guide their growth. For example, a signal chemical is made at one end of an embryo and spreads out. Cells act according to how much signal chemical reaches them. Signal chemicals spreading from opposite ends of an embryo can interact to coordinate construction.28
In small genomes, such as yeast, the parts of DNA that regulate a gene are next to the gene. In more complex genomes, such as human and mouse, they can be far apart. Cells have ways, still unknown, of moving sections of chromosomes next to each other to get the right parts together to control gene expression.11 This happens constantly.
To respond to a rapidly changing environment, a creature's genes have to be turned on and off in a highly coordinated way. The genetic network must be stable under a broad range of conditions, but flexible enough to recognize and respond to important signals when things around it change. This operating at the brink of order and chaos is well known to systems scientists. They call such systems critical. This property has now been recognized in plants, animals, and microbes. It allows them to quickly detect and respond to external stimuli, small or large.4
In another surprise to evolutionists,
genes they have long called vestigial junk have a clear purpose.
Some genes are not transcribed into proteins, yet they seem
related to working genes. So evolutionists figured these were
leftover copying mistakes, called them pseudogenes (fake genes),
and ignored them. Researchers studying cancer finally took
a look at a pseudogene in action, and found that it competed with
its working gene for the same non-coding regulatory RNA. Thus
the gene and pseudogene act as decoys for one another, and affect
the regulation of other transcripts. The pseudogene "is not a non-functional relic, but
a modulator of gene expression." This
"could have major implications for understanding mechanisms
of disease, and of cancer in particular." "The authors
find similar associations between other well-known cancer-associated
genes and their corresponding pseudogenes."
The Mind of
"We found no support for any of the predictions of the optimal size theory." "The concept of a single optimal body size is not supported by the data that were thought most likely to show it." "It is remarkable that this theory fails to apply under the circumstances which best match its predictions (on islands)."-- Raia, Pasquale, Francesco Carotenuto, Shai Meiri. 2010. One size does not fit all: no evidence for an optimal body size on islands. Global Ecology and Biogeography, Vol. 19, pp. 475-484.
Evolutionists claim to rely only on natural forces, but natural forces cannot design and build new plants and animals. So they add magical thinking, the perfect description of the evolutionist mind.
To say "that the theory is phoney, and always was phoney, and this is why it so singularly fails to predict reality is regarded as simplistic, crass, merely a sign of lack of sophistication. And anyway, there are... the reputations of numerous scientists who are now successful and powerful on the back of the phoney theory, and who by now control the peer review process (including allocation of grants, publications and jobs) so there is a powerful disincentive against upsetting the apple cart."
"Zombie science is science
that is dead but will not lie down." "Zombie science
is supported because it is useful propaganda. Zombie
science is deployed in arenas such as political rhetoric, public
administration, management, public relations, marketing and the
mass media generally. It persuades, it constructs taboos,
it buttresses some kind of rhetorical attempt to shape mass opinion.
Indeed, zombie science often comes across in the mass media
as being more plausible than real science."
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6. Brandman, Onn, Tobias Meyer. 17 October 2008. Feedback Loops Shape Cellular Signals in Space and Time. Science, Vol. 322, No. 5900, pp. 390-395.
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11. Dekker, Job. 28 March 2008. Gene Regulation in the Third Dimension. Science, Vol. 319, pp. 1793-1794.
12. Doolittle, W. Ford, Eric Bapteste. February 13, 2007. Pattern pluralism and the Tree of Life hypothesis. Proceedings of the National Academy of Sciences of the United States of America, Vol. 104, No. 7, pp. 2043-2049.
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