Introns

In the 1970s, when scientists compared the sequences of DNA in genes with the sequences of RNA encoded by those genes, they made a puzzling discovery: the DNA of most genes in animals, plants, and other eukaryotes contains too much information. The extra segments of largely useless information were named introns, and they must be cut out of RNA before the protein is made. Exons are the portions of the gene that remain in the RNA after the introns have been removed.

  • Relics of Eden

At every turn evolutionists are faced with inventing yet another story. But that’s ok because, to paraphrase dazz, they are used to it by now.

At some point in some lineage in the history of life it must have been advantageous to insert crap into the genome. But that’s simply not allowed, under the central dogma. Even so, some mechanism must have evolved to make it possible to insert crap into the genome, and then yet another mechanism evolved to remove the crap from the DNA so that protein could still be produced from genes in spite of the fact that genes had become filled with junk.

At some point, the evolutionary story stretches credulity.

Assume a gene without an intron. Now imagine a scenario in which some piece of crap of indeterminate length gets inserted into that DNA sequence. Imagine more than one. Imagine that protein manufacture continues unabated in spite of the insertion. Imagine now an imaginative mechanism arises to excise the crap out of the gene. Let your imagination run wild!

It’s simply difficult for me to believe that “it just happened, that’s all” is rational. It throws rationality, and science, out the window.

What is the most recent and the most plausible explanation for the rise and fall of introns?

302 thoughts on “Introns

  1. John Harshman: This was in response to my statement that “But in practice the amount of space spent on protein-coding sequences doesn’t differ all that much among eukaryotes”. You contradict yourself here, though I suppose you didn’t notice. If that space doesn’t differ, then genome size is a good proxy for percentage of non-protein-coding DNA. Which means that Gregory’s chart invalidates Mattick’s dog’s-ass plot.

    The whole point is that genome size is not a good proxy for percentage of non-protein-coding DNA.

    There is a table of the percentage of non-coding DNA in selected sequenced genomes here

    From the table we can see that this percentage for the following organisms is:
    Yeast 27.2%
    Nematode worm 72%
    Fruitfly 81.8%
    Human 97.2%

    I will insert the table below.

    John Harshman:
    That’s just a more elaborate dog’s-ass plot, and it has the same faults as the original. Further, it doesn’t include any salamanders and so is irrelevant to supporting your claim. You have also just contradicted your previous statement. No, salamanders do not have more protein-coding DNA relative to the size of their genomes; that would require them to have more than 20 times as much protein-coding DNA as humans.

    Do you understand the difference between relative size and absolute size? Guinea pigs have heads which in proportion to their overall size is larger than giraffe’s heads to their overall size. It does not then follow that guinea pigs have larger heads than giraffes.

    John Harshman
    Wikipedia is not always reliable. Do you have any actual support for the claim that most alternative splicings are functional?

    The research can only go one way.

    From Wikipedia:(WARNING – unreliable source) about the protein titan.

    Titin is a giant protein, greater than 1 µm in length,[5] that functions as a molecular spring which is responsible for the passive elasticity of muscle. It is composed of 244 individually folded protein domains connected by unstructured peptide sequences.[6] These domains unfold when the protein is stretched and refold when the tension is removed.[7]…

    …Titin is the third most abundant protein in muscle (after myosin and actin), and an adult human contains approximately 0.5 kg of titin.[10] With its length of ~27,000 to ~33,000 amino acids (depending on the splice isoform), titin is the largest known protein.[11] Furthermore, the gene for titin contains the largest number of exons (363) discovered in any single gene,[12] as well as the longest single exon (17,106 bp).

    Mutations to this protein can cause all sorts of problems so I would say that the production and distribution of isoforms must be very tightly controlled.

    John Harshman
    Yes. The data are cherry-picked to support a point, perhaps not intentionally. It contains only sequenced genomes, and it should not be surprising to know that genomes to be sequenced, at the time, were chosen because they were small. Other than the human genome, of course, picked because it was the human genome. Genomes at the upper end of the distribution do not appear. If the plot had a true representative sample of genomes, the supposed pattern would go away.

    Again, consider Gregory’s chart of genome sizes, in light of your agreement that quantity of protein-coding sequence doesn’t differ much among eukaryotes.

    Can you not see why only sequenced data were used in the chart? It does not matter if only two of three species from different phyla were used in the chart the conclusion would have been just the same. Percentage non-coding DNA varies greatly throughout the living world.

    When we get down to organisms such as bacteria then the non-coding portion of their genome is a very small fraction of the total genome. Most of their genomes are translated. Over 80% of the bacteria genome is translated into proteins compared with less than 2% for humans.

  2. Allan Miller:
    CharlieM,

    I think for some genes it is very important. I don’t think it is significant in every gene in which it occurs. I think most isoforms are ‘noise’.

    Then, as in the protein titan I mentioned above, how does the cell decide which isoform to use in the various parts of the body? Surely having all that noise floating about the cell would be detrimental to its health.

    Allan Miller:

    I will note one of my favourite things here though – according to many ID advocates, proteins are on isolated islands of function and the v^n sequence space relationship between monomer library and string length is a vital consideration. Yet here we have a system where you can slice proteins every which way to Sunday, skip shuffle or add lengthy sections, and create multiple functional isoforms that are light years apart in ‘protein space’, if one were to take a naive bit-comparison view.

    Using scrabble letters, take all the characters that make up a short story and put them in a bag. There is an astronomical combination of ways that these can be arranged, the vast majority of which will be jibberish. And if they are removed randomly this is what you will get. But give the bag to an adult human who knows the language and s/he will be able to make up a vast amount of short stories from these available letters.

    Allan Miller:
    I like that contradiction. When I try and mention modular shuffling as an evolutionary mechanism, a counter to the naive ‘bitwise’ Hoyle-o-matic view, I get a blank look.

    Modularity is something which is used in gas turbine engine design. But it wasn’t always so. Engines have only a handful of modules which can be easily exchanged, but the way engines were constructed had to be extensively modified in order to allow this capacity. It wasn’t just a matter of simple modifications to existing engines. It took designers much time and effort and learning from previous unthoughtful design to come up with successful modular designs. And gas turbine engines are extremely simple structures compared to living organisms.

  3. CharlieM: And gas turbine engines are extremely simple structures compared to living organisms.

    Sounds like the designer of organisms didn’t take the time and effort

  4. CharlieM: 5 snRNAs and over 150 proteins, that is an impressive construction!

    And to think it all evolved from a simple self-splicing intron. The selective pressure to evolve a better way of RNA splicing must have been ginormous!

  5. CharlieM,

    Using scrabble letters, take all the characters that make up a short story and put them in a bag. There is an astronomical combination of ways that these can be arranged, the vast majority of which will be jibberish. And if they are removed randomly this is what you will get. But give the bag to an adult human who knows the language and s/he will be able to make up a vast amount of short stories from these available letters.

    Argument by rubbish analogy Part 1. Protein segments are actual 3D ‘things’, not sentence fragments.

    Modularity is something which is used in gas turbine engine design.

    Argument by rubbish analogy Part 2. What are they, sentences or machines? Make your mind up. If you can cut up a turbine and rearrange it in multiple ways for functional product, maybe you would have the grain of a point.

  6. Mung,

    And to think it all evolved from a simple self-splicing intron. The selective pressure to evolve a better way of RNA splicing must have been ginormous!

    It certainly screws with your proteins if you don’t do it right.

    The Designer seems to have omitted doing something about the potentially invasive intron fragments that result from this process. Once you have a halfway decent spliceosome, introns can hop around ad lib, cackling maniacally. And transposons can hop inside them, smirking. All that enhancement is just asking for trouble.

  7. Charlie M:

    From the table we can see that this percentage for the following organisms is:
    Yeast 27.2%
    Nematode worm 72%
    Fruitfly 81.8%
    Human 97.2%

    Thanks Charlie M.

    The complexity of a vocabulary isn’t defined by the alphabet that spells its words. The Chinese are astonished that the English language has only 26 letters in its alphabet.

    The complexity of a novel is not rooted solely in the number of words that can be found in its dictionary.

    In like manner, the complexity of the human isn’t solely in the protein sequences, but how the sequences are put together. It looks to me the ncDNA in humans is provides a lot of complexity to what makes humans human, especially the brain and the rest of the central nervous system.

    I’ve already listed a three specific classes of ncDNA , two of which are implicated in human neural development:

    1 Alus: about 11% of the genome
    2 Introns: about 30% of the genome
    3 LINE-1: about 16% of the genome

    The Alus in combination with introns are unique in the way they are used in primates, especially the nervous system. LINE-1 use is also special to the central nervous system.

    If each creature has some aspects of how it uses its DNA that are unique to that species, that will explain the C-value paradox. The Alus are a case in point to that effect since they are primate specific, and hence have primate specific behavior of ncDNA.

    Do we have as much data as we’d like to know the details. Not yet, but it’s looking promising.

  8. stcordova,

    If each creature has some aspects of how it uses its DNA that are unique to that species, that will explain the C-value paradox.

    That is one heck of a long shot. Indeed, one is going down to within-baramin level for such distinctions.

    The Alus are a case in point to that effect since they are primate specific, and hence have primate specific behavior of ncDNA.

    Though maybe the primates inherited them from a common ancestor.

  9. Allan Miller:
    CharlieM,

    Argument by rubbish analogy Part 1. Protein segments are actual 3D ‘things’, not sentence fragments.

    Argument by rubbish analogy Part 2. What are they, sentences or machines? Make your mind up. If you can cut up a turbine and rearrange it in multiple ways for functional product, maybe you would have the grain of a point.

    And Allan’s argument is via bald assertion.

  10. Though maybe the primates inherited them from a common ancestor.

    Current theory says it came from 7SL RNA, which I believe is conserved beyond primates. The issue is why the primates have so many copies of this particular sequence, in humans about a million copies. The Alus are used in ways described above.

    That is one heck of a long shot.

    Agreed, but I’ll take that bet, the only question is when the question can be settled to everyone’s satisfaction. Given there are about 90,000 lncRNAs (including Larry’s LOLATs) and that we’ve really successfully identified the mechanism of 10-400 of them (HOTAIR, XIST, FIRRE, NEAT1…) just in humans alone, we could be waiting a long time to settle the issue.

  11. stcordova,

    Current theory says it came from 7SL RNA, which I believe is conserved beyond primates.

    Of course it is. The mutation(s) that led it to become a transposon in primates occurred in the primate common ancestor, not 7SL RNA itself.

    The issue is why the primates have so many copies of this particular sequence, in humans about a million copies.

    Because it’s a transposon. You can even see which copies are related to which – there are several families. Any theory must try and explain why there is apparent sequence divergence.

    Me: That is one heck of a long shot.

    Sal: Agreed, but I’ll take that bet, the only question is when the question can be settled to everyone’s satisfaction.

    Clearly not to the satisfaction of someone who thinks their eternal soul rides on the answer.

    Given there are about 90,000 lncRNAs (including Larry’s LOLATs) and that we’ve really successfully identified the mechanism of 10-400 of them (HOTAIR, XIST, FIRRE, NEAT1…) just in humans alone, we could be waiting a long time to settle the issue.

    Sure. Like, forever.

  12. CharlieM: The whole point is that genome size is not a good proxy for percentage of non-protein-coding DNA.

    I wish you would get your story straight. That was your third reversal. You had just told me that Mattick’s claim was your point, and he said that there wasn’t much difference in amount of coding DNA among species.

    There is a table of the percentage of non-coding DNA in selected sequenced genomes here
    From the table we can see that this percentage for the following organisms is:

    Yeast 27.2%
    Nematode worm 72%
    Fruitfly 81.8%
    Human 97.2%

    A few carefully selected sequenced genomes, which, as I explained, were selected for their small sizes, except for the human.

    Do you understand the difference between relative size and absolute size? Guinea pigs have heads which in proportion to their overall size is larger than giraffe’s heads to their overall size. It does not then follow that guinea pigs have larger heads than giraffes.

    I understand. It seems that you don’t. Your table is directly related to genome size. Given that the absolute amount of protein-coding sequence doesn’t change much, the percentage of non-coding DNA is directly related to genome size. Salamanders have a much higher percentage of non-coding DNA than humans. They are therefore, I suppose, the pinnacle of creation. Or would be if the record-holder were not an amoeba. You don’t seem to understand any of this.

    The research can only go one way.

    Ah, but how far can it go? That’s the question. I don’t see any point regarding Titin. Does it have no isoforms?

    Can you not see why only sequenced data were used in the chart? It does not matter if only two of three species from different phyla were used in the chart the conclusion would have been just the same. Percentage non-coding DNA varies greatly throughout the living world.

    Of course it varies greatly. The point is that it doesn’t vary in any systematic way with organismal complexity, however you try to measure that.

    When we get down to organisms such as bacteria then the non-coding portion of their genome is a very small fraction of the total genome. Most of their genomes are translated. Over 80% of the bacteria genome is translated into proteins compared with less than 2% for humans.

    Yes, and there’s a well-understood reason for that which has to do both with population size and selection on replication efficiency. Your table is merely a text version of the dog’s-ass plot, and has the same flaws.

  13. CharlieM: The whole point is that genome size is not a good proxy for percentage of non-protein-coding DNA.

    There is a table of the percentage of non-coding DNA in selected sequenced genomes here

    From the table we can see that this percentage for the following organisms is:
    Yeast 27.2%
    Nematode worm 72%
    Fruitfly 81.8%
    Human 97.2%

    Your list seems to contradict your claim. The bigger the genome, the larger the percentage of it is non-coding. Which is what John Harshman basically said.

    You really should read this paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4571570/
    What’s in a genome? The C-value enigma and the evolution of eukaryotic genome content
    Tyler A. Elliott and T. Ryan Gregory

    Relationships between genome size and (a) gene number, (b) percentage of the genome consisting of protein-coding genes, and (c) proportion of the genome consisting of introns. (Online version in colour.)

    As we can see there is a very strong correlation. In general, the bigger the genome, the bigger the non-coding percentage.

  14. CharlieM: Then, as in the protein titan I mentioned above, how does the cell decide which isoform to use in the various parts of the body? Surely having all that noise floating about the cell would be detrimental to its health.

    That depends on expression levels. Splice-variants expressed due to noisy transcription are expressed at extremely low levels. When we are talking about “all that noise floating about the cell” we are some times talking about something as low as a single copy pr. cell (I’m talking about pervasive transcription as a phenomenon here, not alternative splicing of Titin in particular).

    It might be the case that Titin is a protein that has functional splice-variants. I have no reason to outright reject that claim. But the mere fact that it IS alternatively spliced does not demonstrate that those splice-variants are functional. So how do splice-variants avoid causing disease? With very very low expression levels.

    If the expression levels become high enough, that can either be due to mutation which can result in disease, or yes, the protein might in fact have functional splice-variants. But the mere detection of a splice-variant in itself is not an indication of functional alternative splicing. It is more likely to be noise. Why do we claim it is more likely? Because those splice-variants are usually expressed at unbelievably low levels. And in the majority of cases where splice-variants are known to be expressed in large amounts approaching the “primary” coding isoform, the result is some sort of disease.

    Notice these are statements about probabilities and relative proportions. Not absolute claims. Alternative splicing is mostly noise. Mostly does not mean functional alternative splicing doesn’t exist at all. It does, there are known cases of it. But they’re exceptions, not the rule.

  15. CharlieM,

    Then, as in the protein titan I mentioned above, how does the cell decide which isoform to use in the various parts of the body? Surely having all that noise floating about the cell would be detrimental to its health.

    Sorry, I omitted to respond to this. This question exists regardless whether a particular set of isoforms has just one, or many functional members. They aren’t all functional in all cells, where all are functional, so cells must regulate isoform expression either way.

    Regardless whether a given isoform is ‘noise’ in all cells, or just in all cell types but one, cells need a means to upregulate the mRNAs for the ‘correct’ form, and/or downregulate the rest. I don’t actually know how this is done, but something like it needs doing in either scenario.

  16. Allan Miller: Regardless whether a given isoform is ‘noise’ in all cells, or just in all cell types but one, cells need a means to upregulate the mRNAs for the ‘correct’ form, and/or downregulate the rest. I don’t actually know how this is done, but something like it needs doing in either scenario.

    I don’t see why, actually. If a transcript with all introns spliced out and all exons spliced together is the sole functional variant, then no regulation is necessary; just let the usual process act, and accept the occasional errors as cost of doing business.

  17. Allan Miller: Once you have a halfway decent spliceosome, introns can hop around ad lib, cackling maniacally.

    But that’s good thing.

    And transposons can hop inside them, smirking.

    Another good thing. Didn’t you read my post?

    All that enhancement is just asking for trouble.

    No fear, the magical forces of evolution are on the job!

  18. Mung,

    But that’s good thing.

    It’s a thing. Whether good or bad depends on your PoV. If carrying surplus DNA at a site you don’t even need an exon break is a good thing then yeah, it’s a good thing. But the result is 25% of our genome in introns, only < 2% in exons. Seems OTT to me.

    Me: And transposons can hop inside them, smirking.

    Mung: Another good thing. Didn’t you read my post?

    You’ll have to be more specific. You make many posts.

    I don’t recall the one where extending the genome even more was good. If all you need is an exon junction, I can think of many less ridiculous ways to do it. But then, I’m not a mad bodger like your Designer appears to be.

  19. John Harshman,

    I don’t see why, actually. If a transcript with all introns spliced out and all exons spliced together is the sole functional variant, then no regulation is necessary; just let the usual process act, and accept the occasional errors as cost of doing business.

    In that instance, I guess. But other scenarios are available. As soon as a second functional isoform becomes available, there needs to be regulation of one or both pathways. That gives us 2 possible answers to ‘how does it deal with all the noise’.

  20. Allan Miller: But then, I’m not a mad bodger like your Designer appears to be.

    LoL! You couldn’t even begin to design living organisms. And BTW, what we are looking at now is after many generations of genetic entropy

  21. Mung: No human. And God is unthinkable. Maybe it was space aliens.

    God is thinkable, the question then is how did He choose to do it? Of course space aliens are ok with ID.

  22. Frankie: LoL! You couldn’t even begin to design living organisms. And BTW, what we are looking at now is after many generations of genetic entropy

    How did the designer begin?

  23. Mung,

    No human. And God is unthinkable. Maybe it was space aliens.

    That would be ‘someone’ (in all cases). And still leave the question of ‘quis designiet ipsos designori’ (yes, my Latin too is flawless … ) as a rather unsatisfactory loose end.

  24. newton,

    How did the designer begin?

    At The Very Beginning. A very good place to start, as Nobel Laureate Julie Andrews was wont to say.

  25. Allan Miller:
    newton,

    At The Very Beginning. A very good place to start, as Nobel Laureate Julie Andrews was wont to say.

    Umm that’s “when” not “how”. We may never know how the designer began when it comes to living organisms just like we may never know how the builders of Nan Madol began when building what they did. But we study the design to answer the more important and pressing questions.

  26. Hi Allan,

    Genes In Conflict arrived today. I see Group I introns and Group II introns in the index. What should I look for to find the other classes of introns?

  27. Genes In Conflict is a book about “selfish genetic elements, those stretches of DNA that spread in spite of being injurious to the individuals they occupy. (p. viii)”

    Given that Group I and Group II introns are both self-splicing, in what way are they injurious to the individuals they occupy?

    Seems like a reasonable question to me.

  28. Mung,

    Given that Group I and Group II introns are both self-splicing, in what way are they injurious to the individuals they occupy?

    First, intron transcription is costly (although the partial cost varies depending on the organism’s overall budget). 25% of the genome is intronic, but < 2% is protein coding. This slows down replication, and transcription, as well as adding to the energy and material costs of both. RNA polymerase ii only manages about a base a second, so intronic transcription adds hours.

    Second, splicing is not done perfectly 100% of the time. There will be a proportion of splice errors due to the need to remove the intron, even if it does it itself.

    Third, the need for recognition sequences adds a mutational load – the entire intron sequence is not free to change at the neutral rate, even if much of it is. Mutations in the intron can be just as damaging as coding mutations – often more so.

  29. Frankie,

    But we study the design to answer the more important and pressing questions.

    Have you ever got an answer after ‘study’ that you didn’t already figure you knew?

  30. Allan Miller: First, intron transcription is costly (although the partial cost varies depending on the organism’s overall budget). 25% of the genome is intronic, but < 2% is protein coding. This slows down replication, and transcription, as well as adding to the energy and material costs of both.

    I don’t know if intron transcription is “costly” or not. What do you mean by costly?

    The claim is that Type I and Type II introns are “injurious.” But it’s pretty clear to me from reading the preface that by “injurious” he means should have been selected against. And yet they persist. LoL.

    One of the original points I made in this thread.

    Oh, and he admits to excluding bacteria and viruses. What are we to make of that if we want to discuss Type I introns and Type II introns?

  31. Allan Miller:
    Frankie,

    Have you ever got an answer after ‘study’ that you didn’t already figure you knew?

    If that was the case you would study it to confirm what you already figured you knew. But anyway we still don’t know what Stonehenge was for. The same goes for Nan Madol. But we study them to try to determine what’s up

  32. In the continuing saga of meeting Larry’s challenge to learn about intron evolution from reading biochemistry textbooks, I cracked open Stryer’s Biochemistry.

    Part I. Molecular Design of Life.

    I shit you not.

    Let’s hope they fixed that in later editions.

  33. Another advantage conferred by split genes is the potentiality for generating a series of related proteins by splicing a nascent RNA transcript in different ways.

    – Biochemistry. Lubert Stryer.

  34. Mung,

    I don’t know if intron transcription is “costly” or not. What do you mean by costly?

    I mean that organisms have to get their energy and materials, which are often limiting. To spend it on unnecessary activity reduces that available for other things. And what, in any case, of my other two points?

    The claim is that Type I and Type II introns are “injurious.” But it’s pretty clear to me from reading the preface that by “injurious” he means should have been selected against. And yet they persist. LoL.

    Perhaps you should read the book to find out the ‘and yet’.

    Oh, and he admits to excluding bacteria and viruses. What are we to make of that if we want to discuss Type I introns and Type II introns?

    I recommended the book as a useful guide to the world of genetic conflict – including both introns and transposons – not as a Guide To Intron Evolution. It is a dimension of which many are unaware, and one you are clearly having a hard time assimilating into your cartoon view of evolution.

    If you are just going to read it and post your gotchas as you go, I’m not sure how much help I can be.

  35. Mung,

    Another advantage conferred by split genes is the potentiality for generating a series of related proteins by splicing a nascent RNA transcript in different ways.

    We know, Mung. Alternative splicing. It’s a thing, and has been mentioned several times already.

  36. Mung,
    What’s the point of all this if, as per your OP, evolution is about to collapse anyway? All that wasted learning! Those 17 books read without point!

  37. OMagain:
    Mung,
    What’s the point of all this if, as per your OP, evolution is about to collapse anyway? All that wasted learning! Those 17 books read without point!

    The problem is, evolution is taking foreeeeeever to collapse.

    “Today, at the dawn of the new century, nothing is more certain than that Darwinism has lost its prestige among men of science. It has seen its day and will soon be reckoned a thing of the past.” -Eberhard Dennert, At the Deathbed of Darwinism, 1904

  38. Allan Miller: I recommended the book as a useful guide to the world of genetic conflict – including both introns and transposons – not as a Guide To Intron Evolution. It is a dimension of which many are unaware, and one you are clearly having a hard time assimilating into your cartoon view of evolution.

    I’m always looking to add to my library of cartoon guides!

    The Cartoon Guide to Physics (Cartoon Guide Series)

    The Cartoon Guide to Statistics

    The Cartoon Guide to Genetics

  39. Mung: The claim is that Type I and Type II introns are “injurious.” But it’s pretty clear to me from reading the preface that by “injurious” he means should have been selected against. And yet they persist. LoL.

    One of the original points I made in this thread.

    And one we already addressed. I got the impression you got it, but now you’re bringing it up again?

    Once again, one part of the problem is how effective selection is. With very large population sizes, those found to be typical of prokaryotes and single-celled eukaryotes, population sizes in the tens to hundreds of billions, or even trillions, selection is strong enough to almost totally eliminate introns. Almost.

    Prokaryotes still retain some group II elements, but they almost never insert in coding regions and are usually intergenic instead, meaning they’re often not transcribed, meaning their “cost”(in terms of how much energy the organism takes to produce them is only effectuated at binary fission, when the entire genome is replicated, and since they aren’t transcribed they don’t have a time-cost during gene-expression). If they insert in coding regions, their cost becomes “visible” to selection and they’re quickly eliminated. But between the protein coding genes they can still hide away relatively successfully.

    In the populations of large multicellular eukaryotes, the picture changes. Population sizesmay reach millions or billions, but they also go through periods of bottlenecks, such as when small groups become geographically isolated, during which populations are as low as some few thousands. In these situations, drift can overwhelm selection allowing selfish elements to run rampant. They can insert in coding regions, become large and so on with little hinderance.

    And this is before we even consider the mechanisms these elements exploit to make copies of themselves. As Allan Miller also mentioned earlier, the size of introns are also relevant. The bigger they are, the higher the cost.

  40. An important concept to assimilate here is that of levels of selection. But since people seem to have trouble even with the most basic idea, that of selection among individuals (genome selection, one might call that, a special case of a more general principle), I don’t hold out much hope.

    In the space below, Frankie will paste his pet quote from Mayr. Again. And maybe phoodoo will return and honour us with ‘it’s an after the fact assessment’. It’s a tautology I tells ya. And so it continues.

  41. Mung,

    The cartoon guide to genetics has the DNA flip from right-handed (correct) below what I presume to be RNA polymerase, to left-handed above it. This cannot be correct. RNA polymerase would stall at such a junction, which also presumes the availability of biochemical pathways for both D and L ribose, and all downstream consequences of that – basically, a complete set of duplicate pathways for everything. There will be much flipping of coins in this cell. 🙂

  42. Stryer’s Biochemistry on introns.

    Again nothing on how introns evolved, only in how they possibly got weeded out after they were already present.

    DNA sequences of genes encoding proteins suggest that introns were present in ancestral genes and were lost in the evolution of organisms that have become optimized for very rapid growth such as eubacteria and yeast. The positions of introns in some genes are at least one billion years old. Furthermore, a common mechanism of splicing developed before the divergence of fungi, plants, and vertebrates, as shown by the finding the mammalian cell extracts can splice yeast RNA.

    Further:

    Alternative splicing is a facile means of forming a set of proteins that are variations of a basic motif according to a developmental program.

    According to a program? No wonder biochemists [erm, I mean IDiots] talk the way they do.

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