One philosopher's view of random genetic drift

Random genetic drift is the process whereby some allele frequencies change in a population by chance alone. The alleles are not being fixed or eliminated by natural selection. Most of the alleles affected by drift are neutral or nearly neutral with respect to selection. Some are deleterious, in which case they may be accidentally fixed in spite of being selected against. Modern evolutionary theory incorporates random genetic drift as part of population genetics and modern textbooks contain extensive discussions of drift and the influence of population size. The scientific literature has focused recently on the Drift-Barrier Hypothesis, which emphasizes random genetic drift [Learning about modern evolutionary theory: the drift-barrier hypothesis].

Most of the alleles that become fixed in a population are fixed by random genetic drift and not by natural selection. Thus, in a very real sense, drift is the dominant mechanism of evolution. This is especially true in species with large genomes full of junk DNA (like humans) since the majority of alleles occur in junk DNA where they are, by definition, neutral.¹ All of the data documenting drift and confirming its importance was discovered by scientists. All of the hypotheses and theories of modern evolution were, and are, developed by scientists.

Nothing in biology makes sense except in the light of population genetics.

Michael Lynch
You might be wondering why I bother to state the obvious; after all, this is the 21st century and everyone who knows about evolution should know about random genetic drift. Well, as it turns out, there are some people who continue to make silly statements about evolution and I need to set the record straight.

One of those people is Massimo Pigliucci, a former scientist who's currently more interested in the philosophy of science. We've encountered him before on Sandwalk [Massimo Pigliucci tries to defend accommodationism (again): result is predictable] [Does Philosophy Generate Knowledge?] [Proponents of the Extended Evolutionary Synthesis (EES) explain their logic using the Central Dogma as an example]. I looks like Pigliucci doesn't have a firm grip on modern evolutionary theory.

His main beef isn't with evolutionary biology. He's mostly upset about the fact that science as a way of knowing is extraordinarily successful whereas philosophy isn't producing many results. He loves to attack any scientist who points out this obvious fact. He accuses them of "scientism" as though that's all it takes to make up for the lack of success of philosophy. His latest rant appears on the Blog of the American Philosophers Association: The Problem with Scientism.

I'm not going to deal with the main part of his article because it's already been covered many times. However, there was one part that caught my eye. That's the part where he lists questions that science (supposedly) can't answer. The list is interesting. Pigliucci says,

Next to last, comes an attitude that seeks to deploy science to answer questions beyond its scope. It seems to me that it is exceedingly easy to come up with questions that either science is wholly unequipped to answer, or for which it can at best provide a (welcome!) degree of relevant background knowledge. I will leave it to colleagues in other disciplines to arrive at their own list, but as far as philosophy is concerned, the following list is just a start:

• In metaphysics: what is a cause?
• In logic: is modus ponens a type of valid inference?
• In epistemology: is knowledge “justified true belief”?
• In ethics: is abortion permissible once the fetus begins to feel pain?
• In aesthetics: is there a meaningful difference between Mill’s “low” and “high” pleasures?
• In philosophy of science: what role does genetic drift play in the logical structure of evolutionary theory?
• In philosophy of mathematics: what is the ontological status of mathematical objects, such as numbers?

[my emphasis LAM]

Before getting to random genetic drift, I'll just note that my main problem with Pigliucci's argument is that there are other definitions of science that render his discussion meaningless. For example, I prefer the broad definition of science—the one that encompasses several of the Pigliucci's questions [Alan Sokal explains the scientific worldview][Territorial demarcation and the meaning of science]. The second point is that no matter how you define knowledge, philosophers haven't been very successful at adding to our knowledge base. They're good at questions (see above) but not so good at answers. Thus, it's reasonable to claim that science (broad definition) is the only proven method of acquiring knowledge. If that's scientism then I think it's a good working hypothesis.

Now back to random genetic drift. Did you notice that one of the questions that science is "wholly unequiped" to answer is the following: "what role does genetic drift play in the logical structure of evolutionary theory?" Really?

Pigliucci goes on to explain what he means ...

The scientific literature on all the above is basically non-existent, while the philosophical one is huge. None of the above questions admits of answers arising from systematic observations or experiments. While empirical notions may be relevant to some of them (e.g., the one on abortion), it is philosophical arguments that provide the suitable approach.

I hardly know what to say.

How many of you believe that the following statements are true with respect to random genetic drift and evolutionary theory?

1. The scientific literature on all the above is basically non-existent.
2. The philosophical literature is huge.
3. The question does not admit of answers arising from systematic observations or experiments.
4. It is philosophical arguments that provide the suitable approach.

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1. There are some very rare exceptions where a mutation in junk DNA may have detrimental effects.

We live in the age of bacteria

I'm sad because we now have almost a whole generation of young people who know very little about Stephen Jay Gould. (He died of cancer in 2002.) I was thinking of this yesterday as I was preparing a post on bacteria. Gould's 1996 book, Full House, is about fundamental misconceptions of evolution and progress and it contains the following passage (p. 176) ...

We live now in the "Age of Bacteria." Our planet has always been in the "Age of Bacteria," ever since the first fossils—bacteria, of course—were entombed in rocks more than three and a half billion years ago.

On any possible, reasonable, or fair criterion, bacteria are—and always have been—the dominant forms of life on earth.

Listen to him make this point twenty years ago ...

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Junior scientist snowflakes

A recent letter in Nature draws attention to a serious (?) problem in modern society; namely, the persecution of junior scientists by older scientists who ask them tough questions. Anand Kumar Sharma warns us: "Don’t belittle junior researchers in meetings". Here's what he says, ...

The most interesting part of a scientific seminar, colloquium or conference for me is the question and answer session. However, I find it upsetting to witness the unnecessarily hard time that is increasingly given to junior presenters at such meetings. As inquisitive scientists, we do not have the right to undermine or denigrate the efforts of fellow researchers — even when their reply is unconvincing.

It is our responsibility to nurture upcoming researchers. Firing at a speaker from the front row is unlikely to enhance discussions. In my experience, it is more productive to offer positive queries and suggestions, and save negative feedback for more-private settings.

Are splice variants functional or noise?

This is a post about alternative splicing. I've avoided using that term in the title because it's very misleading. Alternative splicing produces a number of different products (RNA or protein) from a single intron-containing gene. The phenomenon has been known for 35 years and there are quite a few very well-studied examples, including several where all of the splice regulatory factors have been characterized.

The Salzburg sixty discuss a new paradigm in genetic variation

Sixty evolutionary biologists are going to meet next July in Salzburg (Austria)to discuss "a new paradigmatic understanding of genetic novelty" [Evolution – Genetic Novelty/Genomic Variations by RNA Networks and Viruses]. You probably didn't know that a new paradigm is necessary. That's because you didn't know that the old paradigm of random mutations can't explain genetic diversity. (Not!) Here's how the symposium organizers explain it on their website ...

How many lncRNAs are functional?

There's solid evidence that 90% of your genome is junk. Most of it is transcribed at some time but the transcripts are transient and usually confined to the nucleus. They are junk RNA [Functional RNAs?]. This is the view held by many experts but you wouldn't know that from reading the scientific literature and the popular press. The opposition to junk DNA gets much more attention in both venues.

There are prominent voices expressing the view that most of the genome is devoted to producing functional RNAs required for regulating gene expression [John Mattick still claims that most lncRNAs are functional]. Most of these RNAs are long noncoding RNAs known as lncRNAs. Although most of them fail all reasonable criteria for function there are still those who maintain that tens of thousands of them are functional [How many lncRNAs are functional: can sequence comparisons tell us the answer?].

ENCODE's false claims about the number of regulatory sites per gene

Some beating of dead horses may be ethical, where here and there they display unexpected twitches that look like life.

Zuckerkandl and Pauling (1965)

I realize that most of you are tired of seeing criticisms of ENCODE but it's important to realize that most scientists fell hook-line-and-sinker for the ENCODE publicity campaign and they still don't know that most of the claims were ridiculous.

I was reminded of this when I re-read Brendan Maher's summary of the ENCODE results that were published in Nature on Sept. 6, 2012 (Maher, 2012). Maher's article appeared in the front section of the ENCODE issue.¹ With respect to regulatory sequences he said ...

The consortium has assigned some sort of function to roughly 80% of the genome, including more than 70,000 ‘promoter’ regions — the sites, just upstream of genes, where proteins bind to control gene expression — and nearly 400,000 ‘enhancer’ regions that regulate expression of distant genes ... But the job is far from done, says [Ewan] Birney, a computational biologist at the European Molecular Biology Laboratory’s European Bioinformatics Institute in Hinxton, UK, who coordinated the data analysis for ENCODE. He says that some of the mapping efforts are about halfway to completion, and that deeper characterization of everything the genome is doing is probably only 10% finished.

What's in Your Genome?: Chapter 5: Regulation and Control of Gene Expression

I'm working (slowly) on a book called What's in Your Genome?: 90% of your genome is junk! The first chapter is an introduction to genomes and DNA [What's in Your Genome? Chapter 1: Introducing Genomes ]. Chapter 2 is an overview of the human genome. It's a summary of known functional sequences and known junk DNA [What's in Your Genome? Chapter 2: The Big Picture]. Chapter 3 defines "genes" and describes protein-coding genes and alternative splicing [What's in Your Genome? Chapter 3: What Is a Gene?]. Chapter 4 is all about pervasive transcription and genes for functional noncoding RNAs [What's in Your Genome? Chapter 4: Pervasive Transcription].

Chapter 5 is Regulation and Control of Gene Expression.

Chapter 5: Regulation and Control of Gene Expression

What do we know about regulatory sequences?

The fundamental principles of regulation were worked out in the 1960s and 1970s by studying bacteria and bacteriophage. The initiation of transcription is controlled by activators and repressors that bind to DNA near the 5′ end of a gene. These transcription factors recognize relatively short sequences of DNA (6-10 bp) and their interactions have been well-characterized. Transcriptional regulation in eukaryotes is more complicated for two reasons. First, there are usually more transcription factors and more binding sites per gene. Second, access to binding sites depends of the state of chromatin. Nucleosomes forming high order structures create a "closed" domain where DNA binding sites are not accessible. In "open" domains the DNA is more accessible and transcription factors can bind. The transition between open and closed domains is an important addition to regulating gene expression in eukaryotes.

The limitations of genomics

By their very nature, genomics studies look at the big picture. Such studies can tell us a lot about how many transcription factors bind to DNA and how much of the genome is transcribed. They cannot tell you whether the data actually reflects function. For that, you have to take a more reductionist approach and dissect the roles of individual factors on individual genes. But working on single genes can be misleading ... you may miss the forest for the trees. Genomic studies have the opposite problem, they may see a forest where there are no trees.

Regulation and evolution

Much of what we see in evolution, especially when it comes to phenotypic differences between species, is due to differences in the regulation of shared genes. The idea dates back to the 1930s and the mechanisms were worked out mostly in the 1980s. It's the reason why all complex animals should have roughly the same number of genes—a prediction that was confirmed by sequencing the human genome. This is the field known as evo-devo or evolutionary developmental biology.

           Box 5-1: Can complex evolution evolve by accident?

Slightly harmful mutations can become fixed in a small population. This may cause a gene to be transcribed less frequently. Subsequent mutations that restore transcription may involve the binding of an additional factor to enhance transcription initiation. The result is more complex regulation that wasn't directly selected.

Open and closed chromatin domains

Gene expression in eukaryotes is regulated, in part, by changing the structure of chromatin. Genes in domains where nucleosomes are densely packed into compact structures are essentially invisible. Genes in more open domains are easily transcribed. In some species, the shift between open and closed domains is associated with methylation of DNA and modifications of histones but it's not clear whether these associations cause the shift or are merely a consequence of the shift.

           Box 5-2: X-chromosome inactivation

In females, one of the X-chromosomes is preferentially converted to a heterochromatic state where most of the genes are in closed domains. Consequently, many of the genes on the X chromosome are only expressed from one copy as is the case in males. The partial inactivation of an X-chromosome is mediated by a small regulatory RNA molecule and this inactivated state is passed on to all subsequent descendants of the original cell.

           Box 5-3: Regulating gene expression by
           rearranging the genome

In several cases, the regulation of gene expression is controlled by rearranging the genome to bring a gene under the control of a new promoter region. Such rearrangements also explain some developmental anomalies such as growth of legs on the head fruit flies instead of antennae. They also account for many cancers.

ENCODE does it again

Genomic studies carried out by the ENCODE Consortium reported that a large percentage of the human genome is devoted to regulation. What the studies actually showed is that there are a large number of binding sites for transcription factors. ENCODE did not present good evidence that these sites were functional.

Does regulation explain junk?

The presence of huge numbers of spurious DNA binding sites is perfectly consistent with the view that 90% of our genome is junk. The idea that a large percentage of our genome is devoted to transcriptional regulation is inconsistent with everything we know from the the studies of individual genes.

           Box 5-3: A thought experiment

Ford Doolittle asks us to imagine the following thought experiment. Take the fugu genome, which is very much smaller than the human genome, and the lungfish genome, which is very much larger, and subject them to the same ENCODE analysis that was performed on the human genome. All three genomes have approximately the same number of genes and most of those genes are homologous. Will the number of transcription factor biding sites be similar in all three species or will the number correlate with the size of the genomes and the amount of junk DNA?

Small RNAs—a revolutionary discovery?

Does the human genome contain hundreds of thousands of gene for small non-coding RNAs that are required for the complex regulation of the protein-coding genes?

A “theory” that just won’t die

"... we have refuted the specific claims that most of the observed transcription across the human genome is random and put forward the case over many years that the appearance of a vast layer of RNA-based epigenetic regulation was a necessary prerequisite to the emergence of developmentally and cognitively advanced organisms." (Mattick and Dinger, 2013)

What the heck is epigenetics?

Epigenetics is a confusing term. It refers loosely to the regulation of gene expression by factors other than differences in the DNA. It's generally assumed to cover things like methylation of DNA and modification of histones. Both of these effects can be passed on from one cell to the next following mitosis. That fact has been known for decades. It is not controversial. The controversy is about whether the heritability of epigenetic features plays a significant role in evolution.

           Box 5-5: The Weismann barrier

The Weisman barrier refers to the separation between somatic cells and the germ line in complex multicellular organisms. The "barrier" is the idea that changes (e.g. methylation, histone modification) that occur in somatic cells can be passed on to other somatic cells but in order to affect evolution those changes have to be transferred to the germ line. That's unlikely. It means that Lamarckian evolution is highly improbable in such species.

How should science journalists cover this story?

The question is whether a large part of the human genome is devoted to regulation thus accounting for an unexpectedly large genome. It's an explanation that attempts to refute the evidence for junk DNA. The issue is complex and very few science journalists are sufficiently informed enough to do it justice. They should, however, be making more of an effort to inform themselves about the controversial nature of the claims made by some scientists and they should be telling their readers that the issue has not yet been resolved.

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Sex isn't as beneficial as you might think

One of the most interesting topics in my molecular evolution class was the discussion over the importance of sex. Most students seem to think the problem is solved. They were taught that sex increases variation in a population and this gives sexual populations an evolutionary advantage. The fact that sex (recombination) breaks up as many linkages as it creates makes the explanation much less viable. The fact that there's very little evidence to support the claim comes as quite a surprise to my students. Sex is still one of the greatest mysterious in evolutionary biology [What did Joe Felsenstein say about sex?] [Everything you thought you knew about sex is probably wrong].

Kevin Laland's view of "modern" evolutionary theory (again)

Kevin Laland has just published another critique of modern evolutionary theory. This one appears in Aeon [Evolution unleashed]. His criticism is based on a naive and outdated view of modern evolutionary biology. That view has been widely criticized in the past but Laland continues to ignore such criticisms [e.g. Kevin Laland's new view of evolution].

Here's how he describes the state of modern evolutionary biology.

If you are not a biologist, you’d be forgiven for being confused about the state of evolutionary science. Modern evolutionary biology dates back to a synthesis that emerged around the 1940s-60s, which married Charles Darwin’s mechanism of natural selection with Gregor Mendel’s discoveries of how genes are inherited. The traditional, and still dominant, view is that adaptations – from the human brain to the peacock’s tail – are fully and satisfactorily explained by natural selection (and subsequent inheritance). Yet as novel ideas flood in from genomics, epigenetics and developmental biology, most evolutionists agree that their field is in flux. Much of the data implies that evolution is more complex than we once assumed.

Herding Hemingway's Cats by Kat Arney

Kat Arney has written a very good book on genes and gene expression. She covers all the important controversies in a thorough and thoughtful manner.

Kat Arney is a science writer based in the UK. She has a Ph.D. from the University of Cambridge where she worked on epigenetics and regulation in mice. She also did postdoc work at Imperial College in London. Her experience in the field of molecular biology and gene expression shows up clearly in her book where she demonstrates the appropriate skepticism and critical thinking in her coverage of the major advances in the field.

Calculating time of divergence using genome sequences and mutation rates (humans vs other apes)

There are several ways to report a mutation rate. You can state it as the number of mutations per base pair per year in which case a typical mutation rate for humans is about 5 × 10^-10. Or you can express it as the number of mutations per base pair per generation (~1.5 × 10^-8).

You can use the number of mutations per generation or per year if you are only discussing one species. In humans, for example, you can describe the mutation rate as 100 mutations per generation and just assume that everyone knows the number of base pairs (6.4 × 10⁹).

How much mitochondrial DNA in your genome?

Most mitochondrial genes have been transferred from the ancestral mitochondrial genome to the nuclear genome over the course of 1-2 billion years of evollution. They are no longer present in mitochondria but they are easily recognized because they resemble α-proteobacterial sequences more than the other nuclear genes [see Endosymbiotic Theory].

This process of incorporating mitochondrial DNA into the nuclear genome continues to this day. The latest human reference genome has about 600 examples of nuclear sequences of mitochondrial origin (= numts). Some of them are quite recent while others date back almost 70 million years—the limit of resolution for junk DNA [see Mitochondria are invading your genome!].

Lateral gene transfer in eukaryotes - where's the evidence?

Lateral gene transfer (LGT), or horizontal gene transfer (HGT), is widespread in bacteria. It leads to the creation of pangenomes for many bacterial species where different subpopulations contain different subsets of genes that have been incorporated from other species. It also leads to confusing phylogenetic trees such that the history of bacterial evolution looks more like a web of life than a tree [The Web of Life].

Bacterial-like genes are also found in eukaryotes. Many of them are related to genes found in the ancestors of modern mitochondria and chloroplasts and their presence is easily explained by transfer from the organelle to the nucleus. Eukaryotic genomes also contain examples of transposons that have been acquired from bacteria. That's also easy to understand because we know how transposons jump between species.

Contaminated genome sequences

The authors of the original draft of the human genome sequence claimed that hundreds of genes had been acquired from bacteria by lateral gene transfer (LGT) (Lander et al., 2001). This claim was abandoned when the "finished" sequence was published a few years later (International Human Genome Consortium, 2004) because others had shown that the data was easily explained by differential gene loss in other lineages or by bacterial contamination in the draft sequence (see Salzberg, 2017).