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Showing posts with label Junk RNA. Show all posts
Showing posts with label Junk RNA. Show all posts

Friday, March 15, 2024

Nils Walter disputes junk DNA: (9) Reconciliation

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is arguing against junk DNA by claiming that the human genome contains large numbers of non-coding genes.

This is the ninth and last post in the series. I'm going to discuss Walker's view on how to tone down the dispute over the amount of junk in the human genome. Here's a list of the previous posts.


"Conclusion: How to Reconcile Scientific Fields"

Walter concludes his paper with some thoughts on how to deal with the controversy going forward. I'm using the title that he choose. As you can see from the title, he views this as a squabble between two different scientific fields, which he usually identifies as geneticists and evolutionary biologists versus biochemists and molecular biologists. I don't agree with this distinction. I'm a biochemist and molecular biologist, not a geneticist or an evolutionary biologist, and still I think that many of his arguments are flawed.

Let's see what he has to say about reconciliation.

Science thrives from integrating diverse viewpoints—the more diverse the team, the better the science.[107] Previous attempts at reconciling the divergent assessments about the functional significance of the large number of ncRNAs transcribed from most of the human genome by pointing out that the scientific approaches of geneticists, evolutionary biologists and molecular biologists/biochemists provide complementary information[42] was met with further skepticism.[74] Perhaps a first step toward reconciliation, now that ncRNAs appear to increasingly leave the junkyard,[35] would be to substitute the needlessly categorical and derogative word RNA (or DNA) “junk” for the more agnostic and neutral term “ncRNA of unknown phenotypic function”, or “ncRNAupf”. After all, everyone seems to agree that the controversy mostly stems from divergent definitions of the term “function”,[42, 74] which each scientific field necessarily defines based on its own need for understanding the molecular and mechanistic details of a system (Figure 3). In addition, “of unknown phenotypic function” honors the null hypothesis that no function manifesting in a phenotype is currently known, but may still be discovered. It also allows for the possibility that, in the end, some transcribed ncRNAs may never be assigned a bona fide function.

First, let's take note of the fact that this is a discussion about whether a large percentage of transcripts are functional or not. It is not about the bigger picture of whether most of the genome is junk in spite of the fact that Nils Walter frames it in that manner. This becomes clear when you stop and consider the implications of Walter's claim. Let's assume that there really are 200,000 functional non-coding genes in the human genome. If we assume that each one is about 1000 bp long then this amounts to 6.5% of the genome—a value that can easily be accommodated within the 10% of the genome that's conserved and functional.

Now let's look at how he frames the actual disagreement. He says that the groups on both sides of the argument provide "complementary information." Really? One group says that if you can delete a given region of DNA with no effect on the survival of the individual or the species then it's junk and the other group says that it still could have a function as long as it's doing something like being transcribed or binding a transcription factor. Those don't look like "complimentary" opinions to me.

His first step toward reconciliation starts with "now that ncRNAs appear to increasingly leave the junkyard." That's not a very conciliatory way to start a conversation because it immediately brings up the question of how many ncRNAs we're talking about. Well-characterized non-coding genes include ribosomal RNA genes (~600), tRNA genes (~200), the collection of small non-coding genes (snRNA, snoRNA, microRNA, siRNA, PiWi RNA)(~200), several lncRNAs (<100), and genes for several specialized RNAs such as 7SL and the RNA component of RNAse P (~10). I think that there are no more than 1000 extra non-coding genes falling outside these well-known examples and that's a generous estimate. If he has evidence for large numbers that have left the junkyard then he should have presented it.

Walter goes on to propose that we should divide non-coding transcripts into two categories; those with well-characterized functions and "ncRNA of unknown function." That's ridiculous. That is not a "agnostic and neutral term." It implies that non-conserved transcripts that are present at less that one copy per cell could still have a function in spite of the fact that spurious transcription is well-documented. In fact, he basically admits this interpretation at the end of the paragraph where he says that using this description (ncRNA of unknown function) preserves the possibility that a function might be discovered in the future. He thinks this is the "null hypothesis."

The real null hypothesis is that a transcript has no function until it can be demonstrated. Notice that I use the word "transcript" to describe these RNAs instead of "ncRNA" or "ncRNA of unknown phenotypic function." I don't think we lose anything by using the word "transcript."

Walter also address the meaning of "function" by claiming that different scientific fields use different definitions as though that excuses the conflict. But that's not an accurate portrayal of the problem. All scientists, no matter what field they identify with, are interested in coming up with a way of identifying functional DNA. There are many biochemists and molecular biologists who accept the maintenance definition as the best available definition of function. As scientists, they are more than willing to entertain any reasonable scientific arguments in favor of a different definition but nobody, including Nils Walter, has come up with such arguments.

Now let's look at the final paragraph of Walter's essay.

Most bioscientists will also agree that we need to continue advancing from simply cataloging non-coding regions of the human genome toward characterizing ncRNA functions, both elementally and phenotypically, an endeavor of great challenge that requires everyone's input. Solving the enigma of human gene expression, so intricately linked to the regulatory roles of ncRNAs, holds the key to devising personalized medicines to treat most, if not all, human diseases, rendering the stakes high, and unresolved disputes counterproductive.[108] The fact that newly ascendant RNA therapeutics that directly interface with cellular RNAs seem to finally show us a path to success in this challenge[109] only makes the need for deciphering ncRNA function more urgent. Succeeding in this goal would finally fulfill the promise of the human genome project after it revealed so much non-protein coding sequence (Figure 1). As a side effect, it may make updating Wikipedia and encyclopedia entries less controversial.

I agree that it's time for scientists to start identifying those transcripts that have a true function. I'll go one step further; it's time to stop pretending that there might be hundreds of thousands of functional transcripts until you actually have some data to support such a claim.

I take issue with the phrase "solving the enigma of human gene expression." I think we already have a very good understanding of the fundamental mechanisms of gene expression in eukaryotes, including the transitions between open and closed chromatin domains. There may be a few odd cases that deviate from the norm (e.g. Xist) but that hardly qualifies as an "enigma." He then goes on to say that this "enigma" is "intricately linked to the regulatory roles of ncRNAs" but that's not a fact, it's what's in dispute and why we have to start identifying the true function (if any) of most transcripts. Oh, and by the way, sorting out which parts of the genome contain real non-coding genes may contribute to our understanding of genetic diseases in humans but it won't help solve the big problem of how much of our genome is junk because mutations in junk DNA can cause genetic diseases.

Sorting out which transcripts are functional and which ones are not will help fill in the 10% of the genome that's functional but it will have little effect on the bigger picture of a genome that's 90% junk.

We've known that less than 2% of the genome codes for proteins since the late 1960s—long before the draft sequence of the human genome was published in 2001—and we've known for just as long that lots of non-coding DNA has a function. It would be helpful if these facts were made more widely known instead of implying that they were only dscovered when the human genome was sequenced.

Once we sort out which transcripts are functional, we'll be in a much better position to describe the all the facts when we edit Wikipedia articles. Until that time, I (and others) will continue to resist the attempts by the students in Nils Walter's class to remove all references to junk DNA.


Walter, N.G. (2024) Are non‐protein coding RNAs junk or treasure? An attempt to explain and reconcile opposing viewpoints of whether the human genome is mostly transcribed into non‐functional or functional RNAs. BioEssays:2300201. [doi: 10.1002/bies.202300201]

Thursday, March 14, 2024

Nils Walter disputes junk DNA: (8) Transcription factors and their binding sites

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is arguing against junk DNA by claiming that the human genome contains large numbers of non-coding genes.

This is the seventh post in the series. The first one outlines the issues that led to the current paper and the second one describes Walter's view of a paradigm shift/shaft. The third post describes the differing views on how to define key terms such as 'gene' and 'function.' In the fourth post I discuss his claim that differing opinions on junk DNA are mainly due to philosophical disagreements. The fifth, sixth, and seventh posts address specific arguments in the junk DNA debate.

Wednesday, March 13, 2024

Nils Walter disputes junk DNA: (7) Conservation of transcribed DNA

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is arguing against junk DNA by claiming that the human genome contains large numbers of non-coding genes.

This is the seventh post in the series. The first one outlines the issues that led to the current paper and the second one describes Walter's view of a paradigm shift/shaft. The third post describes the differing views on how to define key terms such as 'gene' and 'function.' In the fourth post I discuss his claim that differing opinions on junk DNA are mainly due to philosophical disagreements. The fifth and sixth posts address specific arguments in the junk DNA debate.


Sequence conservation

If you don't know what a transcript is doing then how are you going to know whether it's a spurious transcript or one with an unknown function? One of the best ways is to check and see whether the DNA sequence is conserved. There's a powerful correlation between sequence conservation and function: as a general rule, functional sequences are conserved and non-conserved sequences can be deleted without consequence.

There might be an exception to the the conservation criterion in the case of de novo genes. They arise relatively recently so there's no history of conservation. That's why purifying selection is a better criterion. Now that we have the sequences of thousands of human genomes, we can check to see whether a given stretch of DNA is constrained by selection or whether it accumulates mutations at the rate we expect if its sequence were irrelevant junk DNA (neutral rate). The results show that less than 10% of our genome is being preserved by purifying selection. This is consistent with all the other arguments that 90% of our genome is junk and inconsistent with arguments that most of our genome is functional.

This sounds like a problem for the anti-junk crowd. Let's see how it's addressed in Nils Walter's article in BioEssays.

There are several hand-waving objections to using conservation as an indication of function and Walter uses them all plus one unique argument that we'll get to shortly. Let's deal with some of the "facts" that he discusses in his defense of function. He seems to agree that much of the genome is not conserved even though it's transcribed. In spite of this, he says,

"... the estimates of the fraction of the human genome that carries function is still being upward corrected, with the best estimate of confirmed ncRNAs now having surpassed protein-coding genes,[12] although so far only 10%–40% of these ncRNAs have been shown to have a function in, for example, cell morphology and proliferation, under at least one set of defined conditions."

This is typical of the rhetoric in his discussion of sequence conservation. He seems to be saying that there are more than 20,000 "confirmed" non-coding genes but only 10%-40% of them have been shown to have a function! That doesn't make any sense since the whole point of this debate is how to identify function.

Here's another bunch of arguments that Walter advances to demonstrate that a given sequence could be functional but not conserved. I'm going to quote the entire thing to give you a good sense of Walter's opinion.

A second limitation of a sequence-based conservation analysis of function is illustrated by recent insights from the functional probing of riboswitches. RNA structure, and hence dynamics and function, is generally established co-transcriptionally, as evident from, for example, bacterial ncRNAs including riboswitches and ribosomal RNAs, as well as the co-transcriptional alternative splicing of eukaryotic pre-mRNAs, responsible for the important, vast diversification of the human proteome across ∼200 cell types by excision of varying ncRNA introns. In the latter case, it is becoming increasingly clear that splicing regulation involves multiple layers synergistically controlled by the splicing machinery, transcription process, and chromatin structure. In the case of riboswitches, the interactions of the ncRNA with its multiple protein effectors functionally engage essentially all of its nucleotides, sequence-conserved or not, including those responsible for affecting specific distances between other functional elements. Consequently, the expression platform—equally important for the gene regulatory function as the conserved aptamer domain—tends to be far less conserved, because it interacts with the idiosyncratic gene expression machinery of the bacterium. Consequently, taking a riboswitch out of this native environment into a different cell type for synthetic biology purposes has been notoriously challenging. These examples of a holistic functioning of ncRNAs in their species-specific cellular context lay bare the limited power of pure sequence conservation in predicting all functionally relevant nucleotides.

I don't know much about riboswitches so I can't comment on that. As for alternative splicing, I assume he's suggesting that much of the DNA sequence for large introns is required for alternative splicing. That's just not correct. You can have effective alternative splicing with small introns. The only essential parts of introns sequences are the splice sites and a minimum amount of spacer.

Part of what he's getting at is the fact that you can have a functional transcript where the actual nucleotide sequence doesn't matter so it won't look conserved. That's correct. There are such sequences. For example, there seem to be some examples of enhancer RNAs, which are transcripts in the regulatory region of a gene where it's the act of transcription that's important (to maintain an open chromatin conformation, for example) and not the transcript itself. Similarly, not all intron sequences are junk because some spacer sequence in required to maintain a minimum distance between splice sites. All this is covered in Chapter 8 of my book ("Noncoding Genes and Junk RNA").

Are these examples enough to toss out the idea of sequence conservation as a proxy for function and assume that there are tens of thousands of such non-conserved genes in the human genome? I think not. The null hypothesis still holds. If you don't have any evidence of function then the transcript doesn't have a function—you may find a function at some time in the future but right now it doesn't have one. Some of the evidence for function could be sequence conservation but the absence of conservation is not an argument for function. If conservation doesn't work then you have to come up with some other evidence.

It's worth mentioning that, in the broadest sense, purifying selection isn't confined to nucleotide sequence. It can also take into account deletions and insertions. If a given region of the genome is deficient in random insertions and deletions then that's an indication of function in spite of the fact that the nucleotide sequence isn't maintained by purifying selection. The maintenance definition of function isn't restricted to sequence—it also covers bulk DNA and spacer DNA.

(This is a good time to bring up a related point. The absence of conservation (size or sequence) is not evidence of junk. Just because a given stretch of DNA isn't maintained by purifying selection does not prove that it is junk DNA. The evidence for a genome full of junk DNA comes from different sources and that evidence doesn't apply to every little bit of DNA taken individually. On the other hand, the maintenance function argument is about demonstrating whether a particular region has a function or not and it's about the proper null hypothesis when there's no evidence of function. The burden of proof is on those who claim that a transcript is functional.)

This brings us to the main point of Walter's objection to sequence conservation as an indication of function. You can see hints of it in the previous quotation where he talks about "holistic functioning of ncRNAs in their species-specific cellular context," but there's more ...

Some evolutionary biologists and philosophers have suggested that sequence conservation among genomes should be the primary, or perhaps only, criterion to identify functional genetic elements. This line of thinking is based on 50 years of success defining housekeeping and other genes (mostly coding for proteins) based on their sequence conservation. It does not, however, fully acknowledge that evolution does not actually select for sequence conservation. Instead, nature selects for the structure, dynamics and function of a gene, and its transcription and (if protein coding) translation products; as well as for the inertia of the same in pathways in which they are not involved. All that, while residing in the crowded environment of a cell far from equilibrium that is driven primarily by the relative kinetics of all possible interactions. Given the complexity and time dependence of the cellular environment and its environmental exposures, it is currently impossible to fully understand the emergent properties of life based on simple cause-and-effect reasoning.

The way I see it, his most important argument is that life is very complicated and we don't currently understand all of it's emergent properties. This means that he is looking for ways to explain the complexity that he expects to be there. The possibility that there might be several hundred thousand regulatory RNAs seems to fulfil this need so they must exist. According to Nils Walter, the fact that we haven't (yet) proven that they exist is just a temporary lull on the way to rigorous proof.

This seems to be a common theme among those scientists who share this viewpoint. We can see it in John Mattick's writings as well. It's as though the logic of having a genome full of regulatory RNA genes is so powerful that it doesn't require strong supporting evidence and can't be challenged by contradictory evidence. The argument seems somewhat mystical to me. Its proponents are making the a priori assumption that humans just have to be a lot more complicated than what "reductionist" science is indicating and all they have to do is discover what that extra layer of complexity is all about. According to this view, the idea that our genome is full of junk must be wrong because it seems to preclude the possibility that our genome could explain what it's like to be human.


Walter, N.G. (2024) Are non‐protein coding RNAs junk or treasure? An attempt to explain and reconcile opposing viewpoints of whether the human genome is mostly transcribed into non‐functional or functional RNAs. BioEssays:2300201. [doi: 10.1002/bies.202300201]

Sunday, March 03, 2024

Nils Walter disputes junk DNA: (5) What does the number of transcripts per cell tell us about function?

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is arguing against junk DNA by claiming that the human genome contains large numbers of non-coding genes.

This is the fifth post in the series. The first one outlines the issues that led to the current paper and the second one describes Walter's view of a paradigm shift. The third post describes the differing views on how to define key terms such as 'gene' and 'function.' The fourth post makes the case that differing views on junk DNA are mainly due to philosophical disagreements.

-Nils Walter disputes junk DNA: (1) The surprise

-Nils Walter disputes junk DNA: (2) The paradigm shaft

-Nils Walter disputes junk DNA: (3) Defining 'gene' and 'function'

-Nils Walter disputes junk DNA: (4) Different views of non-functional transcripts

Transcripts vs junk DNA

The most important issue, according to Nils Walter, is whether the human genome contains huge numbers of genes for lncRNAs and other types of regulatory RNAs. He doesn't give us any indication of how many of these potential genes he thinks exist or what percentage of the genome they cover. This is important since he's arguing against junk DNA but we don't know how much junk he's willing to accept.

There are several hundred thousand transcripts in the RNA databases. Most of them are identified as lncRNAs because they are bigger than 200 bp. Let's assume, for the sake of argument, that 200,000 of these transcripts have a biologically relevant function and therefore there are 200,000 non-coding genes. A typical size might be 1000 bp so these genes would take up about 6.5% of the genome. That's about 10 times the number of protein-coding genes and more than 6 times the amount of coding DNA.

That's not going to make much of a difference in the junk DNA debate since proponents of junk DNA argue that 90% of the genome is junk and 10% is functional. All of those non-coding genes can be accommodated within the 10%.

The ENCODE researchers made a big deal out of pervasive transcription back in 2007 and again in 2012. We can quibble about the exact numbers but let's say that 80% of the human is transcribed. We know that protein-coding genes occupy at least 40% percent of the genome so much of this pervasive transcription is introns. If all of the presumptive regulatory genes are located in the remaining 40% (i.e. none in introns), and the average size is 1000 bp, then this could be about 1.24 million non-coding genes. Is this reasonable? Is this what Nils Walter is proposing?

I think there's some confusion about the difference between large numbers of functional transcripts and the bigger picture of how much total junk DNA there is in the human genome. I wish the opponents of junk DNA would commit to how much of the genome they think is functional and what evidence they have to support that position.

But they don't. So instead we're stuck with debates about how to decide whether some transcripts are functional or junk.

What does transcript concentration tell us about function?

If most detectable transcripts are due to spurious transcription of junk DNA then you would expect these transcripts to be present at very low levels. This turns out to be true as Nils Walter admits. He notes that "fewer than 1000 lncRNAs are present at greater than one copy per cell."

This is a problem for those who advocate that many of these low abundance transcripts must be functional. We are familiar with several of the ad hoc hypotheses that have been advanced to get around this problem. John Mattick has been promoting them for years [John Mattick's new paradigm shaft].

Walter advances two of these excuses. First, he says that a critical RNA may be present at an average of one molecule per cell but it might be abundant in just one specialized cell in the tissue. Furthermore, their expression might be transient so they can only be detected at certain times during development and we might not have assayed cells at the right time. I assume he's advocating that there might be a short burst of a large number of these extremely specialized regulatory RNAs in these special cells.

As far as I know, there aren't many examples of such specialized gene expression. You would need at least 100,000 examples in order to make a viable case for function.

His second argument is that many regulatory RNAs are restricted to the nucleus where they only need to bind to one regulatory sequence to carry out their function. This ignores the mass action laws that govern such interactions. If you apply the same reasoning to proteins then you would only need one lac repressor protein to shut down the lac operon in E. coli but we've known for 50 years that this doesn't work in spite of the fact that the lac repressor association constant shows that it is one of the tightest binding proteins known [DNA Binding Proteins]. This is covered in my biochemistry textbook on pages 650-651.1

If you apply the same reasoning to mammalian regulatory proteins then it turns out that you need 10,000 transcription factor molecules per nucleus in order to ensure that a few specific sites are occupied. That's not only because of the chemistry of binary interactions but also because the human genome is full of spurious sites that resemble the target regulatory sequence [The Specificity of DNA Binding Proteins]. I cover this in my book in Chapter 8: "Noncoding Genes and Junk RNA" in the section titled "On the important properties of DNA-binding proteins" (pp. 200-204). I use the estrogen receptor as an example based on calculations that were done in the mid-1970s. The same principles apply to regulatory RNAs.

This is a disagreement based entirely on biochemistry and molecular biology. There aren't enough examples (evidence) to make the first argument convincing and the second argument makes no sense in light of what we know about the interactions between molecules inside of the cell (or nucleus).

Note: I can almost excuse the fact that Nils Walter ignores my book on junk DNA, my biochemistry textbook, and my blog posts, but I can't excuse the fact that his main arguments have been challenged repeatedly in the scientific literature. A good scientist should go out of their way to seek out objections to their views and address them directly.


1. In addition to the thermodynamic (equilibrium) problem, there's a kinetic problem. DNA binding proteins can find their binding sites relatively quickly by one dimensional diffusion—an option that's not readily available to regulatory RNAs [Slip Slidin' Along - How DNA Binding Proteins Find Their Target].

Walter, N.G. (2024) Are non‐protein coding RNAs junk or treasure? An attempt to explain and reconcile opposing viewpoints of whether the human genome is mostly transcribed into non‐functional or functional RNAs. BioEssays:2300201. [doi: 10.1002/bies.202300201]

Saturday, March 02, 2024

Nils Walter disputes junk DNA: (4) Different views of non-functional transcripts

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is trying to explain the conflict between proponents of junk DNA and their opponents. His main focus is building a case for large numbers of non-coding genes.

This is the third post in the series. The first one outlines the issues that led to the current paper and the second one describes Walter's view of a paradigm shift. The third post describes the differing views on how to define key terms such as 'gene' and 'function.' In this post I'll describe the heart of the dispute according to Nils Walter.

-Nils Walter disputes junk DNA: (1) The surprise

-Nils Walter disputes junk DNA: (2) The paradigm shaft

-Nils Walter disputes junk DNA: (3) Defining 'gene' and 'function'

Thursday, February 29, 2024

Nils Walter disputes junk DNA: (3) Defining 'gene' and 'function'

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is trying to explain the conflict between proponents of junk DNA and their opponents. His main focus is building a case for large numbers of non-coding genes.

This is the third post in the series. The first one outlines the issues that led to the current paper and the second one describes Walter's view of a paradigm shift.

-Nils Walter disputes junk DNA: (1) The surprise

-Nils Walter disputes junk DNA: (2) The paradigm shaft

Any serious debate requires some definitions and the debate over junk DNA is no exception. It's important that everyone is on the same page when using specific words and phrases. Nils Walter recognizes this so he begins his paper with a section called "Starting with the basics: Defining 'function' and 'gene'."

Tuesday, February 27, 2024

Nils Walter disputes junk DNA: (2) The paradigm shaft

I'm discussing a recent paper published by Nils Walter (Walter, 2024). He is trying to explain the conflict between proponents of junk DNA and their opponents. His main focus is building a case for large numbers of non-coding genes.

This is the second post in the series. The first one outlines the issues that led to the current paper.

Nils Walter disputes junk DNA: (1) The surprise

Walter begins his defense of function by outlining a "paradigm shift" that's illustrated in Figure 1.

FIGURE 1: Assessment of the information content of the human genome ∼20 years before (left)[110] and after (right)[111] the Human Genome Project was preliminarily completed, drawn roughly to scale.[9] This significant progress can be described per Thomas Kuhn as a “paradigm shift” flanked by extended periods of “normal science”, during which investigations are designed and results interpreted within the dominant conceptual frameworks of the sub-disciplines.[9] Others have characterized this leap in assigning newly discovered ncRNAs at least a rudimentary (elemental) biochemical activity and thus function as excessively optimistic, or Panglossian, since it partially extrapolates from the known to the unknown.[75] Adapted from Ref. [9].

Reference #9 is a paper by John Mattick promoting a "Kuhnian revolution" in molecular biology. I've already discussed that paper as an example of a paradigm shaft, which is defined as a strawman "paradigm" set up to make your work look like revolutionary [John Mattick's new paradigm shaft]. Here's the figure from the Mattick paper.

The Walter figure is another example of a paradigm shaft—not to be confused with a real paradigm shift.1 Both pie charts misrepresent the amount of functional DNA since they don't show regulatory sequences, centromeres, telomeres, origins of replication, and SARS. Together, these account for more functional DNA than the functional regions of protein-coding genes and non-coding genes. We didn't know the exact amounts in 1980 but we sure knew they existed. I cover this in Chapter 5 of my book: "The Big Picture."

The 1980 view also implies, incorrectly, that we knew nothing about the non-functional component of the genome when, in fact, we knew by then that half of our genome was composed of transposon and viral sequences that were likely to be inactive, degenerate fragments of once active elements. (John Mattick's figure is better.)

The 2020 view implies that most intron sequences are functional since introns make up more than 40% of our genome but only about 3% of the pie chart. As far as I know, there's no evidence to support that claim. About 80% of the pie chart is devoted to transcripts identified as either small ncRNAs or lncRNAs. The implication is that the discovery of these RNAs represents a paradigm shift in our understanding of the genome.

The alternative explanation is that we've known since the late 1960s that most of the human genome is transcribed and that these transcripts—most of which turned out to be introns—are junk RNA that is confined to the nucleus and rapidly degraded. Advances in technology have enabled us to detect many examples of spurious transcripts that are present transiently at low levels in certain cells. I cover this in Chaper 8 of my book: "Noncoding Genes and Junk RNA.

The whole point of Nils Walter's paper is to defend the idea that most of these transcripts are functional and the alternative explanation is wrong. He's trying to present a balanced view of the controversy so he's well aware of the fact that some of us interpret the red part of the pie chart as spurious transcripts (junk RNA). If he's wrong, and I am right, then there's no paradigm shift.

You don't get to shift the paradigm all on our own, even if John Mattick is on your side. A true paradigm shift requires that the entire community of scientists changes their perspective and that hasn't happened.

In the next few posts we'll see whether Nils Walter can make a strong case that all those lncRNAs are functional. They cover about two-thirds of the genome in the pie chart. If we assume that the average length of these long transcripts is 2000 bp then this represents one million transcripts and potentially one million non-coding genes.


1. The term "paradigm shaft" was coined by reader Diogenes in a comment on this blog from many years ago.

Walter, N.G. (2024) Are non‐protein coding RNAs junk or treasure? An attempt to explain and reconcile opposing viewpoints of whether the human genome is mostly transcribed into non‐functional or functional RNAs. BioEssays:2300201. [doi: 10.1002/bies.202300201]

Monday, September 04, 2023

John Mattick's paradigm shaft

Paradigm shifts are rare but paradigm shafts are common. A paradigm shaft is when a scientist describes a false paradigm that supposedly ruled in the past then shows how their own work overthrows that old (false) paradigm.1 In many cases, the data that presumably revolutionizes the field is somewhat exaggerated.

John Mattick's view of eukaryotic RNAs is a classic example of a paradigm shaft. At various times in the past he has declared that molecular biology used to be dominated by the Central Dogma, which, according to him, supported the concept that the only function of DNA was to produce proteins (Mattick, 2003; Morris and Mattick, 2014). More recently, he has backed off this claim a little bit by conceding that Crick allowed for functional RNAs but that proteins were the only molecules that could be involved in regulation. The essence of Mattick's argument is that past researchers were constrained by adherance to the paradigm that the only important functional molecules were proteins and RNA served only an intermediate role in protein synsthesis.

Saturday, November 05, 2022

Nature journalist is confused about noncoding RNAs and junk

Nature Methods is one of the journals in Nature Portfolio published by Springer Nature. Its focus is novel methods in the life sciences.

The latest issue (October, 2022) highlights the issues with identifying functional noncoding RNAs and the editorial, Decoding noncoding RNAs, is quite good—much better than the comments in other journals. Here's the final paragraph.

Despite the increasing prominence of ncRNA, we remind readers that the presence of a ncRNA molecule does not always imply functionality. It is also possible that these transcripts are non-functional or products from, for example, splicing errors. We hope this Focus issue will provide researchers with practical advice for deciphering ncRNA’s roles in biological processes.

However, this praise is mitigated by the appearance of another article in the same journal. Science journalist, Vivien Marx has written a commentary with a title that was bound to catch my eye: How noncoding RNAs began to leave the junkyard. Here's the opening paragraph.

Junk. In the view of some, that’s what noncoding RNAs (ncRNAs) are — genes that are transcribed but not translated into proteins. With one of his ncRNA papers, University of Queensland researcher Tim Mercer recalls that two reviewers said, “this is good” and the third said, “this is all junk; noncoding RNAs aren’t functional.” Debates over ncRNAs, in Mercer’s view, have generally moved from ‘it’s all junk’ to ‘which ones are functional?’ and ‘what are they doing?’

This is the classic setup for a paradigm shaft. What you do is create a false history of a field and then reveal how your ground-breaking work has shattered the long-standing paradigm. In this case, the false history is that the standard view among scientists was that ALL noncoding RNAs were junk. That's nonsense. It means that these old scientists must have dismissed ribosomal RNA and tRNA back in the 1960s. But even if you grant that those were exceptions, it means that they knew nothing about Sidney Altman's work on RNAse P (Nobel Prize, 1989), or 7SL RNA (Alu elements), or the RNA components of spliceosomes (snRNAs), or PiWiRNAs, or snoRNAs, or microRNAs, or a host of regulatory RNAs that have been known for decades.

Knowledgeable scientists knew full well that there are many functional noncoding RNAS and that includes some that are called lncRNAs. As the editorial says, these knowledgeable scientists are warning about attributing function to all transcripts without evidence. In other words, many of the transcripts found in human cells could be junk RNA in spite of the fact that there are also many functional nonciding RNAs.

So, Tim Mercer is correct, the debate is over which ncRNAs are functional and that's the same debate that's been going on for 50 years. Move along folks, nothing to see here.

The author isn't going to let this go. She decides to interview John Mattick, of all people, to get a "proper" perspective on the field. (Tim Mercer is a former student of Mattick's.) Unfortunately, that perspective contains no information on how many functional ncRNAs are present and on what percentage of the genome their genes occupy. It's gonna take several hundred thousand lncRNA genes to make a significant impact on the amount of junk DNA but nobody wants to say that. With John Mattick you get a twofer: a false history (paradigm strawman) plus no evidence that your discoveries are truly revolutionary.

Nature Methods should be ashamed, not for presenting the views of John Mattick—that's perfectly legitimate—but for not putting them in context and presenting the other side of the controversy. Surely at this point in time (2022) we should all know that Mattick's views are on the fringe and most transcripts really are junk RNA?


Thursday, August 04, 2022

Identifying functional DNA (and junk) by purifying selection

Functional DNA is best defined as DNA that is currently under purifying selection. In other words, it can't be deleted without affecting the fitness of the individual. This is the "maintenance function" definition and it differs from the "causal role" and "selected effect" definitions [The Function Wars Part IX: Stefan Linquist on Causal Role vs Selected Effect].

It has always been difficult to determine whether a given sequence is under purifying selection so sequence conservation is often used as a proxy. This is perfectly justifiable since the two criteria are strongly correlated. As a general rule, sequences that are currently being maintained by selection are ancient enough to show evidence of conservation. The only exceptions are de novo sequences and sequences that have recently become expendable and these are rare.

Saturday, May 14, 2022

Editing the Wikipedia article on non-coding DNA

I decided to edit the Wikipedia article on non-coding DNA by adding new sections on "Noncoding genes," "Promoters and regulatory sequences," "Centromeres," and "Origins of replication." That didn't go over very well with the Wikipedia police so they deleted the sections on "Noncoding genes" and "Origins of replication." (I'm trying to restore them so you may see them come back when you check the link.)

I also decided to re-write the introduction to make it more accurate but my version has been deleted three times in favor of the original version you see now on the website. I have been threatened with being reported to Wikipedia for disruptive edits.

The introduction has been restored to the version that talks about the ENCODE project and references Nessa Carey's book. I tried to move that paragraph to the section on the ENCODE project and I deleted the reference to Carey's book on the grounds that it is not scientifically accurate [see Nessa Carey doesn't understand junk DNA]. The Wikipedia police have restored the original version three times without explaining why they think we should mention the ENCODE results in the introduction to an article on non-coding DNA and without explaining why Nessa Carey's book needs to be referenced.

The group that's objecting includes Ramos1990, Qzd, and Trappist the monk. (I am Genome42.) They seem to be part of a group that is opposed to junk DNA and resists the creation of a separate article for junk DNA. They want junk DNA to be part of the article on non-coding DNA for reasons that they don't/won't explain.

The main problem is the confusion between "noncoding DNA" and "junk DNA." Some parts of the article are reasonably balanced but other parts imply that any function found in noncoding DNA is a blow against junk DNA. The best way to solve this problem is to have two separate articles; one on noncoding DNA and it's functions and another on junk DNA. There has been a lot of resistance to this among the current editors and I can only assume that this is because they don't see the distinction. I tried to explain it in the discussion thread on splitting by pointing out that we don't talk about non-regulatory DNA, non-centromeric DNA, non-telomeric DNA, or non-origin DNA and there's no confusion about the distinction between these parts of the genome and junk DNA. So why do we single out noncoding DNA and get confused?

It looks like it's going to be a challenge to fix the current Wikipedia page(s) and even more of a challenge to get a separate entry for junk DNA.

Here is the warning that I have received from Ramos1990.

Your recent editing history shows that you are currently engaged in an edit war; that means that you are repeatedly changing content back to how you think it should be, when you have seen that other editors disagree. To resolve the content dispute, please do not revert or change the edits of others when you are reverted. Instead of reverting, please use the talk page to work toward making a version that represents consensus among editors. The best practice at this stage is to discuss, not edit-war. See the bold, revert, discuss cycle for how this is done. If discussions reach an impasse, you can then post a request for help at a relevant noticeboard or seek dispute resolution. In some cases, you may wish to request temporary page protection.

Being involved in an edit war can result in you being blocked from editing—especially if you violate the three-revert rule, which states that an editor must not perform more than three reverts on a single page within a 24-hour period. Undoing another editor's work—whether in whole or in part, whether involving the same or different material each time—counts as a revert. Also keep in mind that while violating the three-revert rule often leads to a block, you can still be blocked for edit warring—even if you do not violate the three-revert rule—should your behavior indicate that you intend to continue reverting repeatedly.

I guess that's very clear. You can't correct content to the way you think it should be as long as other editors disagree. I explained the reason for all my changes in the "history" but none of the other editors have bothered to explain why they reverted to the old version. Strange.


Wednesday, March 30, 2022

John Mattick presents his view of genomes

John Mattick has a new book coming out in August where he defends the notion that most of our genome is full of genes for functonal noncoding RNAs. We have a pretty good idea what he's going to say. This is a talk he gave at Oxford on May 17, 2019.

Here are a few statements that should pique your interest.

  • (0:57) He says that his upcoming book is tentatively titled "the misunderstandings of molecular biology."
  • (1:11) He says that "the assumption has been very deeply embedded from the time of the lac operon on that genes equated to proteins."
  • (2:30) There have been three "surprises" in molecuular biology: (1) introns, (2) eukaryotic genomes are full of 'selfish' DNA, and (3) "gene number does not scale with developmental complexity."
  • (4:30) It is an unjustified assumption to assume that transposon-related seqences are junk and that leads to misinterpretation of neutral evolution.
  • (6:00) The view that evolution of regulatory sequences is mostly responsible for developmental complexity (Evo-Devo) has never been justified.
  • (8:45) A lot of obtuse theoretical discussion about how the number of regulatory protein-coding genes increases quadratically as the total number of protein-coding genes increase in a bacterial genome but at some point there has to be more protein-coding regulatory genes than total protein-coding genes so that limits the evolution of bacteria.
  • (13:40) The proportion of noncoding DNA increases with developmental complexity, topping out at humans.
  • (14:00) The vast majority of the genome in complex organisms is differentially transcribed in different cells and different tissues.
  • (14:15) The whole genome is alive on both strands.
  • (14:20) There are two possibilities: junk RNA or abundant functional transcripts and that explains complex organisms.
  • Mattick then takes several minutes to document the fact that there are abundant transcripts— a fact that has been known for the better part of sixty years but he does not mention that. All of his statements carry the implicit assumption that these transcripts are functional.
  • (20:20) He makes the boring, and largely irelevant, point that most disease-associated loci are located in noncoding regions (GWAS). He's responding to a critic who asked why, if these things (transcripts) are real, don't we see genetic evidence of it.
  • (24:00) Noncoding RNAs have all of the characteristics of functional RNAs with an emphasis on the fact that their expression is often only detected in specific cell types.
  • (31:50) It has now been shown that everything that protein transcription factors can do can be done by noncoding RNA.
  • (32:15) "I want to say to you that conservation is totally misunderstood." Apparently, lack of conservation imputes nothing about function.
  • (41:00) RNAs control phase separation. There's a whole other level of cell organization that we never dreamed of. (Ironically, he gives nucleoli as an example of something we never dreamed of.)
  • (42:36) "This is called soft metaphysics, and it's just come into biology, and it's spectacular in its implications."
  • (46:25) Almost every lncRNA is alternatively spliced in mice and humans.
  • (46:30) There's more alternative splicing in human protein-coding genes than in mice protein-coding genes but the extra splicing in humans is mostly in the 5' untranslated region. (I'm sure it has nothing to do with the fact that tons more RNA-Seq experiments have been done on human tissues.) "We think this is due to the increased sophistication of the regulation of these genes for the evolution of cognition."
  • (48:00) At least 20% of the human genome is evolutionarily conserved at the level of RNA structure and this does not require any assumptions.
  • (55:00) The talk ends at 55 minutes. That's too bad because I'm sure Mattick had a dozen more slides explaining why all of those transcripts are functional, as opposed to the few selected examples he picked. I'm sure he also had a lot of data refuting all of the evidence in favor of junk DNA but he just ran out of time.

I don't know if there were questions but, if there were, I bet that none of them challenged Mattick's main thesis.


Tuesday, October 19, 2021

Society for Molecular Biology and Evolution (SMBE) spreads misinformation about junk DNA

The Society for Molecular Biology and Evolution (SMBE) is a pretigious society of workers in the field of molecular evolution. I am a member and I have attended many of their conferences. SMBE sponsors several journals incucluding Genome Biology and Evolution (GBE), which is published by Oxford Academic Press.

The latest issue of GBE has a paper by Stitz et al. (2021) that describes some repetitive elements in the platyhelminth Schistosoma mansoni. The authors conlcude that some of these elements might have a function and this prompts them to begin their discussion with the following sentences.

The days of “junk DNA” are over. When the senior authors of this article studied genetics at their respective universities, the common doctrine was that the nonprotein coding part of eukaryotic genomes consists of interspersed, “useless” sequences, often organized in repetitive elements such as satDNA. The latter might have accumulated during evolution, for example, as a consequence of gene duplication events to separate and individualize gene function (Britten and Kohne 1968; Comings 1972; Ohno 1999). This view has fundamentally changed (Biscotti, Canapa, et al. 2015), and our study is the first one addressing this issue with structural, functional, and evolutionary aspects for the genome of a multicellular parasite.

It is unfortunate that the senior authors didn't receive a good undergraduate education but one might think that they would rectify that problem by learning about genomes and junk DNA before publishing in a good journal devoted to genomes and evolution. Alas, they didn't and, even worse, the journal published their paper with those sentences intact.

As you might imagine, these statements were seized upon by Intelligent Design Creationists who wasted no time in posting on their creationist blog [Oxford Journal: “The Days of ‘Junk DNA’ Are Over ”].

But that's not the worst of it. The same issue contains an editorial written by Casey McGrath who self identifies as a employee of the Society for Molecular Biology and Evolution in Lawrence Kansus (USA). She is the Social Media Editor for Genome Biology and Evolution. The title of her editorial is "Highlight—“Junk DNA” No More: Repetitive Elements as Vital Sources of Flatworm Variation" (McGrath, 2021). She starts off by repeating and expanding upon the words of the senior authors of the study that I referred to above.

“The days of ‘junk DNA’ are over,” according to Christoph Grunau and Christoph Grevelding, the senior authors of a new research article in Genome Biology and Evolution. Their study provides an in-depth look at an enigmatic superfamily of repetitive DNA sequences known as W elements in the genome of the human parasite Schistosoma mansoni (Stitz et al. 2021). Titled “Satellite-like W elements: repetitive, transcribed, and putative mobile genetic factors with potential roles for biology and evolution of Schistosoma mansoni,” the analysis reveals structural, functional, and evolutionary aspects of these elements and shows that, far from being “junk,” they may exert an enduring influence on the biology of S. mansoni.

“When we studied genetics at university in the 1980s, the common doctrine was that the non-protein coding parts of eukaryotic genomes consisted of interspersed, ‘useless’ sequences, often organized in repetitive elements like satellite DNA,” note Grunau and Grevelding. Since then, however, the common understanding of such sequences has fundamentally changed, revealing a plethora of regulatory sequences, noncoding RNAs, and sequences that play a role in chromosomal and nuclear structure. With their article, Grunau and Grevelding, along with their coauthors from Justus Liebig University Giessen, University of Montpellier, and Leipzig University, contribute further evidence to a growing consensus that such sequences play critical roles in evolution.

There's no rational excuse for publishing the Stitz et al. paper with those ridiculous statements and there's no rational excuse for compounding the error by highlighting them in an editorial comment. The Society for Molecular Biology and Evolution should be ashamed and embarrassed and they should issue a retraction and a clarification. They should state clearly that junk DNA is alive and well and supported by so much evidence that it would be perverse to deny it.


McGrath,C. (2012) Highlight—“Junk DNA” No More: Repetitive Elements as Vital Sources of Flatworm Variation. Genome Biology and Evolution 13: evab217 [doi: 10.1093/gbe/evab217]

Stitz, M., Chaparro, C., Lu, Z., Olzog, V.J., Weinberg, C.E., Blom, J., Goesmann, A., Grunau, C. and Grevelding, C.G. (2021) Satellite-Like W-Elements: Repetitive, Transcribed, and Putative Mobile Genetic Factors with Potential Roles for Biology and Evolution of Schistosoma mansoni. Genome Biology and Evolution 13:evab204. [doi: 10.1093/gbe/evab204]

Friday, March 12, 2021

The bad news from Ghent

A group of scientists, mostly from the University of Ghent1 (Belgium), have posted a paper on bioRxiv.

Lorenzi, L., Chiu, H.-S., Cobos, F.A., Gross, S., Volders, P.-J., Cannoodt, R., Nuytens, J., Vanderheyden, K., Anckaert, J. and Lefever, S. et al. (2019) The RNA Atlas, a single nucleotide resolution map of the human transcriptome. bioRxiv:807529. [doi: 10.1101/807529]

The human transcriptome consists of various RNA biotypes including multiple types of non-coding RNAs (ncRNAs). Current ncRNA compendia remain incomplete partially because they are almost exclusively derived from the interrogation of small- and polyadenylated RNAs. Here, we present a more comprehensive atlas of the human transcriptome that is derived from matching polyA-, total-, and small-RNA profiles of a heterogeneous collection of nearly 300 human tissues and cell lines. We report on thousands of novel RNA species across all major RNA biotypes, including a hitherto poorly-cataloged class of non-polyadenylated single-exon long non-coding RNAs. In addition, we exploit intron abundance estimates from total RNA-sequencing to test and verify functional regulation by novel non-coding RNAs. Our study represents a substantial expansion of the current catalogue of human ncRNAs and their regulatory interactions. All data, analyses, and results are available in the R2 web portal and serve as a basis to further explore RNA biology and function.

They spent a great deal of effort identifying RNAs from 300 human samples in order to construct an extensive catalogue of five kinds of transcripts: mRNAs, lncRNAs, antisenseRNAs, miRNAs, and circularRNAs. The paper goes off the rails in the first paragraph of the Results section where they immediately equate transcripts wiith genes. They report the following:

  • 19,107 mRNA genes (188 novel)
  • 18,387 lncRNA genes (13,175 novel)
  • 7,309 asRNA genes (2,519 novel)
  • 5,427 miRNAs
  • 5,427 circRNAs

Wednesday, November 11, 2020

On the misrepresentation of facts about lncRNAs

I've been complaining for years about how opponents of junk DNA misrepresent and distort the scientific literature. The same complaints apply to the misrepresentation of data on alternative splicing and on the prevalence of noncoding genes. Sometimes the misrepresentation is subtle so you hardly notice it.

I'm going to illustrate subtle misrepresentation by quoting a recent commentary on lncRNAs that's just been published in BioEssays. The main part of the essay deals with ways of determining the function of lncRNAs with an emphasis on the sructures of RNA and RNA-protein complexes. The authors don't make any specific claims about the number of functional RNAs in humans but it's clear from the context that they think this number is very large.

Saturday, June 13, 2020

What's in Your Genome? Chapter 2: The Evolution of Sloppy Genomes

I had to completely reorganize chapter 2 in order to move population genetics closer to the beginning of the book and reduce the number of words.

Chapter 2: The Evolution of Sloppy Genomes
  • Fugu sashimi
  • Variation in genome size
  • The Onion Test
  • Instantaneous genome doubling
  • Modern evolutionary theory
  • Random genetic drift
  • Neutral Theory
  • Nearly-Neutral Theory
  • Box 2-1: Are humans are still evolving?
  • Population size and the Drift-Barrier Hypothesis
  • Bacteria have small genomes
  • On the evolution of sloppy genomes



What's in Your Genome? Chapter 1: Introducing Genomes

My book is progressing slowly. The main task is to reduce it to about 120,000 words and that's proving to be a lot more difficult that I imagined.

Here's what's now in Chapter 1: Introducing Genomes
  • The genome war
  • Finishing the human genome sequence
  • What is DNA?
  • The double helix
  • The sequence of all the base pairs was the goal of the human genome project
  • How big is your genome?
  • Packaging DNA: chromatin
  • Transcription
  • Translation
  • The genetic code
  • Introns and exons
  • The history of junk DNA



Monday, April 06, 2020

The Function Wars Part VII: Function monism vs function pluralism

This post is mostly about a recent paper published in Studies in History and Philosophy of Biol & Biomed Sci where two philosophers present their view of the function wars. They argue that the best definition of function is a weak etiological account (monism) and pluralistic accounts that include causal role (CR) definitions are mostly invalid. Weak etiological monism is the idea that sequence conservation is the best indication of function but that doesn't necessarily imply that the trait arose by natural selection (adaptation); it could have arisen by neutral processes such as constructive neutral evolution.

The paper makes several dubious claims about ENCODE that I want to discuss but first we need a little background.

Background

The ENCODE publicity campaign created a lot of controversy in 2012 because ENCODE researchers claimed that 80% of the human genome is functional. That claim conflicted with all the evidence that had accumulated up to that point in time. Based on their definition of function, the leading ENCODE researchers announced the death of junk DNA and this position was adopted by leading science writers and leading journals such as Nature and Science.

Let's be very clear about one thing. This was a SCIENTIFIC conflict over how to interpret data and evidence. The ENCODE researchers simply ignored a ton of evidence demonstrating that most of our genome is junk. Instead, they focused on the well-known facts that much of the genome is transcribed and that the genome is full of transcription factor binding sites. Neither of these facts were new and both of them had simple explanations: (1) most of the transcripts are spurious transcripts that have nothing to do with function, and (2) random non-functional transcription factor binding sites are expected from our knowledge of DNA binding proteins. The ENCODE researchers ignored these explanations and attributed function to all transcripts and all transcription factor binding sites. That's why they announced that 80% of the genome is functional.

Friday, January 31, 2020

lncRNA nonsense from Los Alamos

A group of scientists at the Los Alamos National Laboratory (Los Alamos, NM, USA) and their collaborators in Vienna (Austria) and Lethbridge (Alberta, Canada) have worked out the structure of Braveheart lncRNA from mice.
Kim, D.N., Thiel, B.C., Mrozowich, T., Hennelly, S.P., Hofacker, I.L., Patel, T.R., Sanbonmatsu, K.Y. (2020) Zinc-finger protein CNBP alters the 3-D structure of lncRNA Braveheart in solution. Nat. Commun. 11:148 [doi: 10.1038/s41467-019-13942-4]
The authors point out in their paper that lncRNAs are difficult to work with and the 3D structures of only a small number have been characterized. There's nothing in the paper about the problems associated with determining the functions of lncRNAs and nothing about the number of lncRNAs except for this brief opening statement: "Long non-coding RNAs (lncRNAs) constitute a significant fraction of the transcriptome ..."

Wednesday, January 08, 2020

Are pseudogenes really pseudogenes?

There are many junk DNA skeptics who claim that most of our genome is functional. Some of them have even questioned whether pseudogenes are mostly junk. The latest challenge comes from a recent review in Nature Reviews: Genetics where the authors try to place the burden of proof on those who say that pseudogenes are broken, nonfunctional, genes (Cheetam et al., 2019). The authors of the review try to make the case that we should not label a DNA sequence as a pseudogene until we can prove that it is truly nonfunctional junk.

I'm about to refute this ridiculous stance but first we need a little background.