Evolution Icon Evolution
Human Origins Icon Human Origins

Toward a Consensus: An Open Letter to BioLogos on the Genetic Evidence

Trichodesmium_bloom_off_Great_Barrier_Reef_2014-03-07_19-59.jpg

Dennis Venema, professor of biology at Trinity Western University and Fellow at BioLogos, has written a series of articles that have been noted by evolutionists for their clarity and persuasiveness. So as a collector of evidences and reasons why evolution is a fact, I was interested to see Venema’s articles. What does the professor have to say to help confirm what Samuel Wilberforce rhetorically called “a somewhat startling conclusion”?

One of Venema’s basic points (see here and here) is that the genomes of different species are what we would expect if they evolved. Allied species have similar genomes, and genetic features fall into evolution’s common descent pattern:

If indeed speciation events produced Species A-D from a common ancestral population, we would expect their genomes to exhibit certain features when compared to each other. First and foremost, their overall genome sequence and structure should be highly similar to each other — they should be versions of the same book, with chapters and paragraphs of shared text in the same order. Secondly, the differences between them would be expected to fall into a pattern.

Does the evidence confirm these evolutionary expectations? Venema answers with an emphatic yes.

Here Venema is appealing to the empirical evidence. He is comparing the evidence to the theory of evolution, and finding that the evidence confirms evolution’s predictions. This means the theory can be empirically evaluated. And if evolution can be genuinely evaluated empirically, then it is, at least theoretically, possible for evolution to fail. If the evidence can confirm evolution, then it also can disconfirm evolution.

This is important because focusing the attention on the evidence means the non-scientific arguments go away and science is allowed to speak. What does it say? Here I will take the opposing view, for it seems that what the science shows is that Venema’s claim, that the genetic evidence confirms evolutionary predictions, is inaccurate.

This is not to say that evolutionary explanations cannot be offered. As philosophers well understand, another sub-hypothesis is always possible. Such hypotheses raise more profound questions of parsimony, likelihood, and so forth. But it seems that such philosophical questions ought to be addressed after there is a consensus on what the empirical evidence has to say. The goal here is to move toward that consensus. Venema, and evolutionists in general, make a straightforward claim about the evidence. We ought to be able to dispassionately evaluate that claim.

Of course I realize that reaching consensus is not as simple as reading an article. There will be differing interpretations by fair-minded critics. And the topic of origins is certainly not always dispassionate. If you argue against evolution you will be disparaged. My response to such attacks has and always will be to forgive.

One final preliminary is simply to point out that it is a challenge just to do justice to this story. A thorough treatment could easily require an entire volume. But a few, typical, examples will have to suffice. They can provide readers with an approximate understanding how the evidence bears on Venema’s claim.

What Does the Evidence Say?

For starters, phylogenetic incongruence is rampant in evolutionary studies. Genetic sequence data do not fall into the expected evolutionary pattern. Conflicts exist at all levels of the evolutionary tree and throughout both morphological and molecular traits. This paper reports on incongruent gene trees in bats. That is one example of many.

MicroRNAs are short RNA molecules that regulate gene expression, for example, by binding to messenger RNA molecules which otherwise would code for a protein at a ribosome. Increasingly MicroRNAs are understood to be lineage-specific, appearing in a few species, or even in just a single species, and are nowhere else to be found. In fact one evolutionist, who has studied thousands of microRNA genes, explained that he has not found “a single example that would support the traditional [evolutionary] tree.” It is, another evolutionist admitted, “a very serious incongruence.”

Trichodesmium or “sea sawdust,” a genus of oceanic bacteria described by Captain Cook in the 18th century and so prolific it can be seen from space, has a unique, lineage-specific genome. Less than two-thirds of the genome of this crucial ammonium-producing bacteria codes for proteins. No other such bacteria has such a low value, and conversely such a large percentage of the genome that is non-coding. This lineage-specific genome, as one report explains, “defies common evolutionary dogma.”

It is not unusual for similar species to have significant differences in their genome. These results have surprised evolutionists and there does not seem to be any let up as new genomes are deciphered.

The mouse and rat genomes are far more different than expected. Before the rat genome was determined, evolutionists predicted it would be highly similar to the mouse genome. As one paper explained:

Before the launch of the Rat Genome Sequencing Project (RGSP), there was much debate about the overall value of the rat genome sequence and its contribution to the utility of the rat as a model organism. The debate was fuelled by the naive belief that the rat and mouse were so similar morphologically and evolutionarily that the rat sequence would be redundant.

The prediction that the mouse and rat genomes would be highly similar made sense according to evolution. But it was dramatically wrong.

One phylogenetic study attempted to compute the evolutionary tree relating a couple dozen yeast species using 1,070 genes. The tree that uses all 1,070 genes is called the concatenation tree. They then repeated the computation 1,070 times, for each gene taken individually. Not only did none of the 1,070 trees match the concatenation tree, they also failed to show even a single match between themselves. In other words, out of the 1,071 trees, there were zero matches. It was “a bit shocking” for evolutionists, as one explained: “We are trying to figure out the phylogenetic relationships of 1.8 million species and can’t even sort out 20 yeast.”

What is interesting is how this false prediction was accommodated. The evolutionists tried to fix the problem with all kinds of strategies. They removed parts of genes from the analysis, they removed a few genes that might have been outliers, they removed a few of the yeast species, they restricted the analysis to certain genes that agreed on parts of the evolutionary tree, they restricted the analysis to only those genes thought to be slowly evolving, and they tried restricting the gene comparisons to only certain parts of the gene.

These various strategies each have their own rationale. That rationale may be dubious, but at least there is some underlying reasoning. Yet none of these strategies worked. In fact they sometimes exacerbated the incongruence problem. What the evolutionists finally had to do, simply put, was to select the subset of the genes that gave the right evolutionary answer. They described those genes as having “strong phylogenetic signal.”

And how do we know that these genes have strong phylogenetic signal. Because they gave the right answer. This raises the general problem of prefiltering of data. Prefiltering is often thought of merely as cleaning up the data. But prefiltering is more than that, for built-in to the prefiltering steps is the theory of evolution. Prefiltering massages the data to favor the theory. The data are, as philosophers explain, theory-laden.

But even prefiltering cannot always help the theory. For even cleansed data routinely lead to evolutionary trees that are incongruent (the opposite of consilience). As one study explained, the problem is so confusing that results “can lead to high confidence in incorrect hypotheses.” As one paper explained, data are routinely filtered in order to satisfy stringent criteria so as to eliminate the possibility of incongruence. And although evolutionists thought that more data would solve their problems, the opposite has occurred. With the ever increasing volumes of data (particularly molecular data), incongruence between trees “has become pervasive.”

What is needed now is less data. Specifically, less contradictory data. As one evolutionist explained, “if you take just the strongly supported genes, then you recover the correct tree.” And what are “strongly supported” genes? Those would be genes that cooperate with the theory. So now in addition to prefiltering we have postfiltering.

Another issue are the striking similarities in otherwise distant species. This so-called convergence is rampant in biology and it takes on several forms.

Consider a paper from the Royal Society on “The mystery of extreme non-coding conservation” that has been found across many genomes. As the paper explains, there is currently “no known mechanism or function that would account for this level of conservation at the observed evolutionary distances.” Here is how the paper summarizes these findings of extreme sequence conservation:

… despite 10 years of research, there has been virtually no progress towards answering the question of the origin of these patterns of extreme conservation. A number of hypotheses have been proposed, but most rely on modes of DNA : protein interactions that have never been observed and seem dubious at best. As a consequence, not only do we still lack a plausible mechanism for the conservation of CNEs — we lack even plausible speculations.

And these repeated designs, in otherwise different species, are rampant in biology. It is not merely a rare occurrence that perhaps evolution could explain as an outlier. That the species do not fall into an evolutionary tree pattern is well established by science.

Furthermore, these repeated designs do not merely occur twice, in two distant species. They often occur repeatedly in a variety of otherwise distant species. So now the evolutionist must not only believe that there are many of these repeating design events, but that in most cases, they repeat multiple times, in disparate species.

Evolutionists have labeled this evidence as recurrent evolution. As a recent paper explains:

The recent explosion of genome sequences from all major phylogenetic groups has unveiled an unexpected wealth of cases of recurrent evolution of strikingly similar genomic features in different lineages.

In addition, many instances of a third more puzzling phylogenetic pattern have been observed: traits whose distribution is “scattered” across the evolutionary tree, indicating repeated independent evolution of similar genomic features in different lineages.

Of course these puzzling, striking similarities cannot be explained by common evolutionary history. Instead, they are explained by common evolutionary forces:

As ancestrally shared features are the result of a common evolutionary history, shared features evolved by recurrent evolution are often the result of common evolutionary forces acting on different lineages.

If the pattern fits the evolutionary tree, then it is explained as common evolutionary history. If not, then it is explained as common evolutionary forces.

With all of this contradictory evidence, even evolutionists have realized in recent years that the traditional evolutionary tree model is failing. As one evolutionist explained, “The tree of life is being politely buried.”

There are many more fascinating examples of biological patterns that are not consistent with the expected evolutionary pattern. These are not anomalies or rare exceptions. Here we have focused on the genetic level since that was the theme of Venema’s article. It seems that the species and their genomes do not fall into a consistent evolutionary pattern as evolutionists such as Venema claim. This does not mean evolutionists cannot explain any of this. They have a wide spectrum of mechanisms to draw upon, of varying levels of speculation and likelihood. These explanatory mechanisms greatly increase the theory’s complexity. They raise questions of realism, and whether the theory is following the data, or the data is following the theory.

But such questions are for another day.

The point here is that evolutionist’s claims that the genomic data broadly and consistently fall into the evolutionary pattern and expectations do not seem to reflect the empirical data. This is the first step in moving the discourse forward. We need to reach consensus on what the evidence reveals.

In a subsequent post I will continue with an examination of the next evidences Venema presents.

Photo: Trichodesmium bloom, by Wexcan [CC BY-SA 3.0], via Wikimedia Commons.

Cross-posted at Darwin’s God.