Godwin's Darwin



AUTHOR: Allen MacNeill

SOURCE: Original essay

COMMENTARY: That's up to you...

There has recently been a huge controversy generated around the upcoming movie, "Expelled: No Intelligence Allowed", featuring Ben Stein. Rather than rehash most of this, I recommend that those who are not yet "up to speed" check out the related posts at The Panda's Thumb.

Ben Stein (a former speech writer for Richard Nixon) interviewed many evolutionary biologists for this film, including Will Provine and me. As the various threads at The Panda's Thumb indicate, he did so under patently false pretenses. Then, when some of the interviews contradicted the particular propaganda point he was trying to make, those "inconvenient" interviews were cut from the film (see here).

But that's not what I want to talk about in this blog. Ben Stein has been quoted repeatedly as saying that the underlying message in "Expelled" is "No Darwin, no Hitler". Yes, this is a particularly egregious example of Godwin's Law, but it is cited so often by creationists and ID supporters that I have prepared the following refutation (including citations, most of which I found here) Enjoy!

While Hitler uses the word "evolution" in Mein Kampf, it is clear that he is not referring to Darwin's theory. Indeed, he never mentions Darwin at all. In fact, a look at his writings reveals his sentiments on the subject to be those of an orthodox creationist.

Like a creationist, Hitler asserts fixity of kinds:

"The fox remains always a fox, the goose remains a goose, and the tiger will retain the character of a tiger." - Adolf Hitler, Mein Kampf, vol. ii, ch. xi.


Like a creationist, Hitler claims that God made man:

"For it was by the Will of God that men were made of a certain bodily shape, were given their natures and their faculties." - Adolf Hitler, Mein Kampf, vol. ii, ch. x.


Like a creationist, Hitler affirms that humans existed "from the very beginning", and could not have evolved from apes:

"From where do we get the right to believe, that from the very beginning Man was not what he is today? Looking at Nature tells us, that in the realm of plants and animals changes and developments happen. But nowhere inside a kind shows such a development as the breadth of the jump , as Man must supposedly have made, if he has developed from an ape-like state to what he is today." - Adolf Hitler, Hitler's Tabletalk (Tischgesprache im Fuhrerhauptquartier).


Like a creationist, Hitler believes that man was made in God's image, and in the expulsion from Eden:

"Whoever would dare to raise a profane hand against that highest image of God among His creatures would sin against the bountiful Creator of this marvel and would collaborate in the expulsion from Paradise." - Adolf Hitler, Mein Kampf, vol ii, ch. i.


Like a creationist, Hitler believes that:

"God ... sent [us] into this world with the commission to struggle for our daily bread." - Adolf Hitler, Mein Kampf, vol ii, ch. xiv.


Like a creationist, Hitler claims Jesus as his inspiration:

"My feeling as a Christian points me to my Lord and Savior as a fighter. It points me to the man who once in loneliness, surrounded only by a few followers, recognized these Jews for what they were and summoned men to fight against them." - Adolf Hitler, speech, April 12 1922, published in My New Order.


Like a creationist, Hitler despises secular schooling:

"Secular schools can never be tolerated because such schools have no religious instruction, and a general moral instruction without a religious foundation is built on air; consequently, all character training and religion must be derived from faith . . . we need believing people." - Adolf Hitler, Speech, April 26, 1933.


Hitler even goes so far as to claim that Creationism is what sets humans apart from the animals:

"The most marvelous proof of the superiority of Man, which puts man ahead of the animals, is the fact that he understands that there must be a Creator." - Adolf Hitler, Hitler's Tabletalk (Tischgesprache im Fuhrerhauptquartier).


Hitler does not mention evolution explicitly anywhere in Mein Kampf. However, after declaring the fixity of the fox, goose, and tiger, as quoted above, he goes on to talk of differences within species:

"[T]he various degrees of structural strength and active power, in the intelligence, efficiency, endurance, etc., with which the individual specimens are endowed." Mein Kampf, vol. ii, ch. xi.


So, like a creationist, there is some evolution he is prepared to concede -- evolution within species, or "microevolution", to which people like Phillip Johnson and Michael Behe have no objection. It is on the basis of the one part of evolutionary theory which creationists accept that Hitler tried to find a scientific basis for his racism and his program of eugenics.

Ergo, Hitler did not base his eugenic and genocidal policies on evolutionary theory, but rather on views that are very similar to those held by most creationists and many ID supporters.


Comments, criticisms, and suggestions are warmly welcomed!

--Allen

On the Problem of Pain


AUTHOR: Allen MacNeill

SOURCE: Original essay

COMMENTARY: That's up to you...

As some long-time visitors may be aware, I have not been able to update this blog for a long time. While part of this has been due to the press of other business, much of it has been due to two health problems, both of which have at their core what C. S. Lewis referred to as “the problem of pain.” Late last fall, and continuing until after the turn of the year, I suffered from a kidney stone. Then, in mid-January, my wife’s stepmother died of emphysema, and we drove 1,200 miles to be present at her funeral in Michigan. It was a hellish drive, through wind-driven lake-effect snow all the way from Jamestown to Toledo. I gripped the wheel with white knuckles and hunched my shoulders like a linebacker all the way.

The next day I awoke in agonizing pain, similar in quality to that produced by the passage of a kidney stone. But, unlike the kidney stone, the pain did not relent. It is still present, although finally it has begun to subside as the result of intensive physical therapy and the passage of time.

What kind of pain? Well, to be precise, it’s phantom pain. The cause (as far as anyone can figure out) is inflammation of the right lateral cervical nerve passing through a foramen between my sixth and seventh cervical vertebrae. To be precise, I have right lateral radial radiculopathy.

But that doesn’t describe what it feels like. Throughout most of the past two months it has felt like there is a cable of red-hot twisted steel running from the right side of the back of my neck, across the top of my shoulder and down the outside of my right arm to the middle three fingers of my right hand. This pain begins as soon as I wake up, and intensifies throughout the day until, after nightfall, it becomes overwhelming and the only thing I can do is take two oxycodone and lie down and wait for unconsciousness.

I describe all of this, not to elicit your sympathy, but to introduce “the problem of pain” from the standpoint of evolutionary biology. All of the rest of our senses have a physical referent: heat receptors sense heat, cold receptors cold, taste receptors sugars and ions and acids and bases and certain amino acids in our food, rods and cones sense the presence of light photons, etc. But pain receptors do not sense the presence of “pain.” No, “pain” is an “artificial sensation.” What pain receptors are adapted to sensing is cellular damage.

Why does pain exist? From an evolutionary standpoint, pain is “good for us”: in the past, those individuals who could feel pain would stop doing whatever it was they were doing that was causing the cellular damage that was triggering the pain, and therefore survived and reproduced more often than other individuals who did not feel pain so acutely. To be specific, individuals who had the cellular machinery to transform the chemical signs of cellular damage into action potentials in pain dendrites, and whose pain dendrites are connected to their central nervous systems in such a way as to cause changes in their behavior in such a way as to reduce such damage (and therefore reduce the amount of pain such damage causes) passed on to their offspring the genetic and developmental programs that produced the cellular machinery that made such responses possible.

But the problem with pain is that it doesn’t necessarily happen only when avoidable cellular damage is happening as the result of something we are doing. This is most obvious in the case of the two sources of pain that have crippled me for the past few months.

Kidney stone pain is widely recognized as one of the most intense forms of pain that we can experience. I know several women who have had babies and kidney stones, and they all assert that kidney stone pain is much, much worse. I know a couple of men who have had massive heart attacks and kidney stones, and they assert that kidney stone pain is worse (yes, the terror of having a heart attack is horrific as well, but terror is not pain, although the two are evolutionarily related). I have myself suffered various injuries, from chopping a wedge out of my shin with a macheté to breaking a bone to rather serious burns (especially on my fingertips) and none of them comes close to the pain of passing a kidney stone.

Yet, two questions immediately present themselves: why should passing a kidney stone produce pain at all, and why is the pain so intense? It is only via modern medicine that we understand what causes kidney stones; the most common cause is a familial tendency to produce very concentrated urine, combined with a genetically inherited defect in a couple of enzymes that in most people prevent the precipitation of calcium oxalate and/or uric acid crystals in the lumen of the pelvis of the kidney. Furthermore, the behavioral and chemical events that predispose one to forming kidney stones are so “detached” from the process of passing a kidney stone that they almost certainly cannot cause a person to stop doing whatever it was that resulted in the formation of the stones themselves.

Also, it is a general principle of the evolution of sensory systems that if damage to a particular tissue is virtually universally fatal, no pain receptors are present in that tissue. For example, there are no pain receptors in brain tissue; as my friend Will Provine can attest, people can probe around in your exposed brain tissue without causing the slightest amount of pain (he was fully conscious during the surgery in which his brain tumor was removed). You can literally stick an ice pick into a human brain and swish it around, and although it will cause massive neurological deficits, it will not cause any pain (this is how “ice pick” lobotomies used to be performed, generally without anaesthesia).

So why are there so many exquisitely sensitive pain receptors in the lining of our ureters? It would seem to me that damage to something as deeply embedded in the body as a ureter would almost certainly be fatal, and so why are there pain receptors in them? And why is the pain so extravagantly severe?

One possibility is that the pain receptors are there because people who did not have them would contort or twist their bodies so much during vigorous or violent activity that they might rupture or tear their ureters, resulting in their death. However, that doesn’t explain why a kidney stone the size of a grain of sand should cause so much pain passing down a ureter with the inside diameter of a pencil lead.

And so on to my cervical radiculopathy. In the case of my right arm pain (which at times has been nearly as bad as passing a kidney stone), there isn’t any damage happening in my arm at all. Rather, the pain is the result of physical stimulation of the pain fibers in the seventh cervical nerve as it passes through the foramen between the vertebrae. That is, there is absolutely no connection between anything I am doing (or have done) with my right arm that has caused cellular damage in my arm, which has then been transformed into action potentials in the pain dendrites going to my central nervous system.

That this is the case is encapsulated in the term “radiculopathy.” What is causing the pain is cellular damage in the “root” (or “radicle”) of the seventh cervical nerve, rather than cellular damage in my right arm. In the beginning stages, this damage was so severe that I also had fasciculations in my arm, shoulder, pectorals, rhomboid, and trapezious muscles. That is, these muscles twitched and contracted spasmotically and uncontrollably, as “phantom” nerve impulses generated in the inflamed motor neurons of the seventh cervical nerve stimulated those muscles to contract.

And so I had both “phantom” pain and “phantom” muscle twitching, for months. Did any of this convince me that I should no longer drive out to Michigan with my hands clenched to the wheel and my shoulders hunched. You bet it did, but that can’t possibly explain how generations of my ancestors could have evolved an anatomical or physiological arrangement that is so prone to such derangements. For, as it turns out, cervical radiculopathy is one of the two most common forms (the other being lumbar radiculopathy, or “low back pain”, which I – along with nearly all of you – have suffered from repeatedly).

Once again, is there any “reason” for all of this extravagant pain? C. S. Lewis, in The Problem of Pain, used an analogy with sculpting stone: that each “blow” of the pain we all feel is what “hammers” us into shape as people. That is, God gives us the ability to experience pain as a means of making us better people.

Well, what about “meaningless” pain, such as that which we experience in the case of passing a kidney stone or suffering from cervical radiculopathy? Believe me, I honestly don’t think either of these has made me a “better” person. On the contrary, they have made me a more exhausted, more tentative, more fearful person. Every hint of the return of such pain makes me cringe, and so only if God wants me to be a more exhausted, more tentative, more fearful person who cringes at the slightest hint of a kidney stone or returning arm pain does such an explanation make sense.

What makes more sense to me is that such pain is an unintentional side effect of a system that is otherwise adaptive. In a world in which cellular damage is an ever-present possibility, pain receptors have clear adaptive value. And if, under certain conditions, they produce “unnecessary” pain, that’s the price we pay for being adaptive.

For moral reasons, I tend to favor the evolutionary explanation. That isn’t to say that one can’t use unnecessary pain; I have consciously tied the pain in my arm to an exercise and weight loss program, which seems to be working so far (although I worry about what will happen when and if the pain in my arm finally goes away). But this is the result of a conscious and deliberate process on my part, to harness what would otherwise be a completely meaningless affliction to something I would like to accomplish, but have had difficulty doing in the past. Maybe that’s what Lewis is really saying as well, although I suspect not.

So, does the experience of pain make us “better people?” Only if we make it so, and then it isn’t the pain that is doing it, but rather our own determination to do so, which isn’t “natural” in any way.

Here’s wishing you all a happy (and generally pain free) New Year!

Comments, criticisms, and suggestions are warmly welcomed!

--Allen

RM & NS: The Creationist and ID Strawman


AUTHOR: Allen MacNeill

SOURCE: Original essay

COMMENTARY: That's up to you...

Creationists and supporters of Intelligent Design Theory ("IDers") are fond of erecting a strawman in place of evolutionary theory, one that they can then dismantle and point to as "proof" that their "theories" are superior. Perhaps the most egregious such strawman is encapsulated in the phrase "RM & NS". Short for "random mutation and natural selection", RM & NS is held up by creationists and IDers as the core of evolutionary biology, and are then attacked as insufficient to explain the diversity of life and (in the case of some IDers) its origin and evolution as well.

Evolutionary biologists know that this is a classical "strawman" argument, because we know that evolution is not simply reducible to "random mutation and natural selection" alone. Indeed, Darwin himself proposed that natural selection was the best explanation for the origin of adaptations, and that natural selection itself was an outcome that necessarily arises from three prerequisites:

Variety: significant differences between the characteristics of individuals in populations);

Heredity: genetic inheritance of traits from parents to offspring; and

Fecundity: reproduction, often resulting in more offspring than are necessary for replacement.

Given these prerequisites, the following outcome is virtually inevitable:

Demography: some individuals survive and reproduce more often than others, and hence their heritable characteristics become more common in their populations over time.

As I have alread pointed out in an earlier post, the real creative factor in evolution isn't natural selection per se, it's the "engines of variation" that produce the various heritable characteristics that natural selection then preserves from generation to generation. According to the creationists and IDers, the only source of such variation is "random mutations", and so there simply isn't enough variation to provide the raw material for evolutionary change.

In my earlier post on the "engines of evolution" I promised a list of the "engines of variation" that provide the raw material for evolutionary change. It's taken me a while, but here it is. This list includes "random mutation,' of course, but also 46 other sources of variation in either the genotypes or phenotypes of living organisms. Note that the list is not necessarily exhaustive, nor are any of the entries in the list necessarily limited to the level of structure or function under which they are listed. On the contrary, this is clearly a list of the minimum sources of variation between individuals in populations. A comprehensive list would almost certainly include hundreds (and possibly thousands) of more detailed processes. Also, the list includes processes that change either genotypes or phenotypes or both, but does not include processes that are combinations of other processes in the list, again implying that a comprehensive listing would be much longer and more detailed.

Anyway, here is the list of the "engines of variation", arranged according to level of structure and function (if a term is underlined, you can click on it and be taken to a definition and explanation of that term, usually at Wikipedia):

SOURCES OF HERITABLE VARIATION BETWEEN INDIVIDUALS IN POPULATIONS

Gene Structure (in DNA)

1) point mutations

2) deletion and insertion (“frame shift” / "indel") mutations

3) inversion and translocation mutations

Gene Expression in Prokaryotes

4) changes in promoter or terminator sequences (increasing or decreasing binding)

5) changes in repressor binding (in prokaryotes); increasing or decreasing binding to operator sites

6) changes in repressor binding (in prokaryotes); increasing or decreasing binding to inducers

7) changes in repressor binding (in prokaryotes); increasing or decreasing binding to corepressors

Gene Expression in Eukaryotes

8) changes in activation factor function in eukaryotes (increasing or decreasing binding to promoters)

9) changes in intron length, location, and/or editing by changes in specificity of SNRPs

10) changes in interference/antisense RNA regulation (increasing or decreasing binding to sense RNAs)

Gene Interactions

11) changes in substrates or products of biochemical pathways

12) addition or removal of gene products (especially enzymes) from biochemical pathways

13) splitting or combining of biochemical pathways

14) addition or alteration of pleiotropic effects, especially in response to changes in other genes/traits

Eukaryotic Chromosome Structure

15) gene duplication within chromosomes

16) gene duplication in multiple chromosomes

17) inversions involving one or more genes in one chromosome

18) translocations involving one or more genes between two or more chromosomes

19) deletion/insertion of one or more genes via transposons

20) fusion of two or more chromosomes or chromosome fragments

21) fission of one chromosome into two or more fragments

22) changes in chromosome number via nondisjunction (aneuploidy)

23) changes in chromosome number via autopolyploidy (especially in plants)

24) changes in chromosome number via allopolyploidy (especially in plants)

Eukaryotic Chromosome Function

25) changes in regulation of multiple genes in a chromosome as a result of the foregoing structural changes

26) changes in gene expression as result of DNA methylation

27) changes in gene expression as result of changes in DNA-histone binding

Genetic Recombination

28) the exchange of non-identical genetic material between two or more individuals (i.e. sex)

29) lateral gene transfer via plasmids and episomes (especially in prokaryotes)

30) crossing-over (reciprocal and non-reciprocal) between sister chromatids in meiosis

31) crossing-over (non-reciprocal) between sister chromatids in mitosis

32) Mendelian independent assortment during meiosis

33) hybridization

Genome Structure and Function

34) genome reorganization and/or reintegration

35) partial or complete genome duplication

36) partial or complete genome fusion

Development (among multicellular eukaryotes, especially animals)

37) changes in tempo and timing of gene regulation, especially in eukaryotes

38) changes in homeotic gene regulation in eukaryotes

39) genetic imprinting, especially via hormone-mediated DNA methylation

Symbiosis

40) partial or complete endosymbiosis

41) partial or complete incorporation of unrelated organisms as part of developmental pathways (especially larval forms)

42) changes in presence or absence of mutualists, commensals, and/or parasites

Behavior/Neurobiology

43) changes in behavioral anatomy, histology, and/or physiology in response to changes in biotic community

44) changes in behavioral anatomy, histology, and/or physiology in response to changes in abiotic environment

45) learning (including effects of use and disuse)

Physiological Ecology

46) changes in anatomy, histology, and/or physiology in response to changes in biotic community

47) changes in anatomy, histology, and/or physiology in response to changes in abiotic environment

So, next time you hear or read a creationist or IDer cite "RM & NS" as the sole explanation for evolutionary change, point out to them and everyone else that there are at least 47 different sources of variation (including "random mutations"), and at least three different processes that result from them: natural selection, sexual selection, and random genetic drift.

Comments, criticisms, and suggestions (especially additional items for the list) are warmly welcomed!

--Allen

Jerry Fodor on Why Pigs Don't Have Wings



AUTHOR: Jerry Fodor

SOURCE: Why Pigs Don't Have Wings
(London Review of Books 29(20):19-22, 18 October 2007)

COMMENTARY: Allen MacNeill

Cognitive scientist and frequent critic of evolutionary psychology, Jerry Fodor, has a long article in the most recent issue of the London Review of Books in which he attacks what most people think of as the core of evolutionary biology: natural selection and adaptations. Fodor has attacked evolutionary psychology before, and spends most of his ammunition attacking it again in this article. However, he now has bigger (Darwin) fish in his sights: "Darwinism" – yes, he uses exactly the same term as the one so favored by creationists and ID theorists. Indeed, the article under discussion here has been lauded by prominent young-Earth creationist and ID theorist, Paul Nelson.

This isn't the first time left-leaning philosophers such as Fodor have joined forces with creationists, nor will it be the last. However, what I would like to discuss (in later posts) is Fodor's serious misrepresentations of evolutionary biology in general, and evolutionary psychology in particular. But, before I do that, you should go and read Why Pigs Don't Have Wings, paying special attention to Fodor's criticisms of natural selection and its role in evolutionary biology. And while you're at it, you might check out this essay by Fodor as well: Against Darwinism.

Then come back here (in a day or two), and I'll get started fisking both articles.

--Allen

Darwin Day in America



TITLE: Darwin Day in America

AUTHOR: John West

COMMENTARY: Allen MacNeill:

Meanwhile, back at the Discovery Institute/Neo-Creationism Propaganda Ministry, John West has published a much-balleyhooed book that makes the case that virtually all of society’s ills can be traced to poor old Charles Darwin and his latter-day minions. I’m going to force myself to read Darwin Day in America, not because I expect to find any new arguments or evidence in it (IDers like John West and his fellow creationists aren’t interested in new ideas, and are positively repelled by evidence, especially if it involves entering a lab or going out into the field), but because I want to be prepared for the mini-tidal wave of disinformation that it might generate vis-a-vis the pernicious effects of “Darwinism” on society.

This despite the fact that (according to the DI/NCPM’s favorite statistics), less than 10% of Americans believe in non-theistic evolution, and even fewer are atheists. Two thoughts immediately come to mind:

• Shouldn’t the prisons be stuffed with evolutionary biologists and atheists (i.e. greater than 10% of the prison population), and

•Isn’t this in a perverse way empirical evidence that evolutionary biologists and atheists have an influence on society out of all proportion to our numbers?

Ah, but that would imply a direct contradition in logic: something that the DI/NCPM is, of course, perfectly comfortable with, but which strikes the <10% of the population that attempts to be rational as…well, irrational.

So it goes…

--Allen

More on Transcribed But Non-Translated RNA

On the same subject as the previous post (The Gene Is Dead, Long Live The Gene!), here is the following:

MikeGene at Telic Thoughts ( see Error Correction Runs Yet Deeper) wrote this about the new findings vis-a-vis transcribed but not translated RNAs:

According to Mats Ljungman, a researcher at the University of Michigan Medical School, as many as 20,000 lesions occur daily in a cell’s DNA. To repair all this continual damage, how does the cell first detect it? Ljungman’s research identified the logical candidate – RNA polymerase (the machine that reads the DNA and makes an RNA copy). Apparently, whenever the RNA polymerase encounters a lesion, it signals to p53, a master protein that activates all sorts of DNA repair processes.

According to the press release:

“These two proteins are saying, ‘Transcription has stopped,’” says Ljungman. These early triggers act like the citizen who smells smoke and sounds a fire alarm, alerting the fire department. Then p53, like a team of fire fighters, arrives and evaluates what to do. To reduce the chance of harmful mutations that may result from DNA damage, p53 may kill cells or stop them temporarily from dividing, so that there is time for DNA repair.


Recently, the ENCODE consortium determined that the majority of DNA in the human genome is transcribed:

This broad pattern of transcription challenges the long-standing view that the human genome consists of a relatively small set of discrete genes, along with a vast amount of so-called junk DNA that is not biologically active.


Of course, one could also argue that all this transcription simply speaks to the sloppy and wasteful nature of the cell. Yet here’s a thought. It would seem to me that Ljungman’s research now raises a third possibility: all that transcription is just another layer of error surveillance.

To which I replied:

That is a VERY interesting hypothesis. It could work like this: by incorporating large amounts of transcribed (but not translated) DNA into the human genome, the cell is essentially presenting a much larger "target" for mutation-detection by the p53 surveillance system. In essence, a cell that has been especially challenged by mutation-producing processes would be much more likely to send out the "fire alarm," since it would be much more likely to have transcription terminated and thereby triggering the p53 "stopped transcription" alarm. To extend the "fire alarm" analogy, imagine a house that is unusually likely to have a fire; perhaps it's very hot, or dry, or has smoldering fires in several locations. As the old saying goes, "where there's smoke, there's fire," and a fail-safe cancer/mutation detection system would be much more likely to detect potential "hot-cells" if there were a large amount of transcription going on.

Indeed, this would be most important in cells in which relatively little transcription of functional (i.e. protein-encoding) genes normally takes place, but which are still subject to mutation and potential cancer induction. By running the "non-coding transcription program constantly in the background, such cells could still alert the cancer/mutation surveillance system, even when they themselves aren't actively coding for protein.

Now, since transcription is itself a costly process, doing a lot of it for non-coding genes would also be costly. Cells would therefore be selected via a cost-benefit process for the amount of non-coding "surveillance transcription" they could do. that is, the more likely a cell/organism is to have a cancer/mutation event, the more valuable its non-coding/surveillance transcription system would be, and therefore the more non-coding DNA it should have. This immediately suggests a possible test of hypothesis: those cells (or organisms) that are more likely to suffer from cancer/mutation events would therefore have more non-coding "surveillance transcription" DNA sequences.

For example, since animals are much more likely to be harmed by uncontrolled cell division (i.e. cancer, induced by mutation), then one would predict that animals would have more non-coding/surveillance transcription sequences than, say, plants. Also, animals that live longer (and would therefore have a larger "window" for suffering mutations), should also have relatively large amounts of non-coding/surveillance transcription sequences.

Somebody should check this out (if they haven't already).

Nick (Matzke?) then commented:

The old C-value paradox may have some relevance here. Does the amount of non-coding/surveillance transcribed sequences correlate with the total amount on non-coding sequence? For example, do puffer fish have fewer non-coding transcribed sequences than zebrafish, or do they have the same amount of transcribed DNA with the difference in genome size being due to non-coding, non-transcribed sequence?

Encode's data would seem to argue for a close correlation between total genome size and amount of transcribed non-coding sequence. If that observation is generally applicable to other organisms, thenC value might be one way to test MikeGene's and Allen's hypotheses. The idea that transcription of non-coding DNA is another layer of mutation detection/error correction would imply that organisms with larger genomes have more mutation detection capability. Do animals with smaller genomes require less error detection because they live in less mutagenic environments? The dramatic differences in genome size among related organisms that live in similar environments would seem to argue against that hypothesis. Compare genome sizes of freshwater pufferfish and zebrafish, both of which live in freshwater streams, or look at the variation in genome size among salamanders of the genus Plethodon

To explore this issue, check out the very cool Animal Genome size database:

You can also test Allen's lifespan hypothesis. For example, zebrafish and small tetras with lifespans of 2 or 3 years have approximately the same genome size as common carp with lifespans of 20+ years.

One of the ID supporters on the list then challenged me to explain how such a complex error-surveillance system could have evolved via non-directed natural selection. This was my reply (Nota bene: the following is, of course, an HYPOTHESIS only):

Consider two virtually identical phylogenetic lines, A and B. At time zero, individuals in both lines start out with virtually no transcribable but non-coding DNA (abbreviated TNCDNA). If we assume a constant mutation rate for both lines, individuals in both lines would have essentially the same probability of dying from cancer.

Assume further that, over time, sequences of non-TNCDNA accumulate in the genomes of each line. This can happen by any one (or more) of several known mechanisms, such as gene dupilcation (without active promoter sequences), random multiplication of tandem repeats, retroviral or transposon insertions of non-TNCDNA, etc.

Then, at time one, an individual (or more than one) in line B have an active promoter inserted in front of one or more of their non-TNCDNA sequences in one or more of their cells, by the same mechanisms listed above. Now, these individuals have a lower probability of dying from the resulting cancer, since their p53-regulated surveillance systems would be more likely to eliminate the affected cells. Again, this would be a side-effect of the larger "mutation sponge" their cells would present to potentially mutagenic processes. Such individuals would therefore have more descendants, and over time the average size of all of the "mutation sponges" in the subsequent populations would increase. Natural selection in action, folks.

Now, as to the question of where the p53 surveillance system came from in the first place, proteins like p53 are common intermediates in intracellular signalling systems. Assume that the ancestor of p53 was a protein with some other signalling function. At some point, an individual that had p53 doing that other function has a mutation that changes the shape of p53 in such a way that it becomes part of a regulatory pathway that triggers apoptosis, thereby eliminating the cell. If the altered p53 no longer participates in the original pathway, and if that alteration is damaging, such individuals would be elimated, and the original function of p53 would be preserved.

However, if the altered p53 (now participating in the regulation of apoptosis) were also activated by the cells' normal "transcription termination signalling system" as described in Mike's original post, then individuals with the altered p53 would be less likely to die from cancer, and their descendants (who now produce the altered form of p53) would become more common over time.

Mike's original post notes that the research report cited the relatively recent observation that many cells actually suffer multiple mutations much of the time. This is precisely the situation that Darwin originally stated was a prerequisite for natural selection: not genetic mutations (Darwin didn't know about them), but increased heritable variation (which Darwin couldn't explain, but could point to as an observable phenomenon in living organisms). In other words, as both EBers and IDers both point out, phenotypic variations are very, very common, and so are the genetic changes with which they are correlated. Most of these variants are either selectively neutral (c.f. Kimura), nearly neutral (c.f. Ohta), or deleterious to some degree. Such changes either accumulate (if they are neutral or nearly so) or are eliminated (if they are deleterious).

But, in those relatively rare occasions when they result in increased relative survival and reproduction, they increase in frequency in those populations in which they exist. By this process of "natural preservation" (Darwin's preferred name for the process he and Alfred Russell Wallace proposed as the primary mechanism for descent with modification) results in the accumulation of both neutral and beneficial characters and the elimination of deleterious ones.

And by the way, the foregoing is why Darwin (and not Edward Blythe) is credited with the concept of "natural selection/preservation": Blythe only described the elimination of deleterious characters, and never realized that the preservation of beneficial characters could result in the origin of adaptations. Blythe, in other words, only recognized what EBers call "stabilizing selection," but missed the much more interesting and important "directional selection," which Darwin cited as the causal basis for evolution of adaptations.

Comments, criticisms, and suggestions are warmly welcomed!

--Allen

The Gene Is Dead: Long Live The Gene!



TITLE: Genome 2.0: Mountains Of New Data Are Challenging Old Views

AUTHOR: Patrick Barry

SOURCE: Science News

COMMENTARY: Allen MacNeill

First, an introductory comment:

In a previous post (New Definitions Of A Gene), I discussed new ideas of what genes might be according to recent discoveries in genetics and genomics. Now comes the absolutely stunning news that between 74% and 93% of the typical mammalian genome is transcribed into RNA, but not translated. This DNA accounts for almost all of what was recently referred to as "junk DNA." This discovery has shaken some of the fundamental principles of genetics, and promises to do even more to the underlying assumptions of neo-Darwinian evolutionary theory.

In particular, the "neutral theory" of Motoo Kimura and the "nearly neutral theory" of Tomoko Ohta may need to be extensively revised, if not entirely replaced. These theories are based on the assumption that the vast majority of the DNA of most organisms, especially eukaryotes, is selectively neutral (i.e. is not acted upon by natural selection). Furthermore, central to these theories is the idea that the neutrality of most of the genome is the result of its not being transcribed or translated into protein (and therefore ultimately into some component of organisms' phenotypes). However, if most of this DNA is transcribed, but not translated, then these theories (which form part of the foundation of current neo-darwinian evolutionary theory) will probably have to be revised, or even jettisoned.

Here is the text of the entire article. Pay particular attention to the various hypotheses presented for what all that transcribed but not translated RNA is doing in cells. This discovery opens up a huge new area of research, and seriously undermines the estimate of the number of "genes" mapped by the Human Genome Project:

***************************************************************************

When scientists unveiled a draft of the human genome in early 2001, many cautioned that sequencing the genome was only the beginning. The long list of the four chemical components that make up all the strands of human DNA would not be a finished book of life, but a road map of an undiscovered country that would take decades to explore.

Only 6 years later, the landscape of the genome is already proving to be dramatically different than most scientists had expected.

The established view of the genome began to take shape in 1958, just 5 years after Francis Crick and James D. Watson worked out the structure of DNA. In that year, Crick expounded what he called the "central dogma" of molecular biology: DNA's genetic information flows strictly one way, from a gene through a series of steps that ends in the creation of a protein. That principle developed into a modern orthodoxy, according to which a genome is a collection of discrete genes located at specific spots along a strand of DNA. This old view got the basics right: that genes encode proteins and that proteins do the myriad work necessary to keep an organism alive.

Researchers slowly realized, however, that genes occupy only about 1.5 percent of the genome. The other 98.5 percent, dubbed "junk DNA," was regarded as useless scraps left over from billions of years of random genetic mutations. As geneticists' knowledge progressed, this basic picture remained largely unquestioned. "At one time, people said, 'Why even bother to sequence the whole genome? Why not just sequence the [protein-coding part]?'" says Anindya Dutta, a geneticist at the University of Virginia in Charlottesville.

Closer examination of the full human genome is now causing scientists to return to some questions they thought they had settled. For one, they're revisiting the very notion of what a gene is. Rather than being distinct segments of code amid otherwise empty stretches of DNA—like houses along a barren country road—single genes are proving to be fragmented, intertwined with other genes, and scattered across the whole genome.

Even more surprisingly, the junk DNA may not be junk after all. Most of this supposedly useless DNA now appears to produce transcriptions of its genetic code, boosting the raw information output of the genome to about 62 times what genes alone would produce. If these active nongene regions don't carry code for making proteins, just what does their activity accomplish?

"What we thought was important before was really just the tip of the iceberg," says Hui Ge of the Whitehead Institute for Biomedical Research in Cambridge, Mass.

With the genome sequence in hand, exploration has moved at a brisk pace during the past 6 years. A milestone was reached in June, when a project called the Encyclopedia of DNA Elements (ENCODE) thoroughly mapped the functional regions in 1 percent of the human genome. The effort involved was staggering: Thirty-five teams of scientists from around the world worked for 4 years and compiled more than 600 million data points, the consortium reported in the June 14 Nature.

From the accumulating mountains of data, scientists are building a new picture of how the genome works as a whole. They have found mutations in nongene regions of DNA that are linked to common diseases such as diabetes and forms of cancer. And some researchers propose that DNA once labeled junk could have spawned the complex bodies of higher organisms—even the complexities of the human brain.

Second Fiddle To A Superstar

In the emerging picture of the genome's functioning, many of the key elements identified so far are molecules of RNA, a chemical cousin of DNA.

In the old central dogma, RNA had a strictly subservient role in the all-important task of making proteins. An RNA molecule is made from units of genetic code strung together, much like DNA. But while DNA has two strands twisted together into a double helix, RNA usually has only a single strand.

Protein synthesis begins when the two strands of a section of DNA unzip. Units of RNA then pair up with their counterparts on one of the DNA strands, forming a complementary messenger RNA (mRNA) molecule. The mRNA detaches and floats off to other parts of the cell, where it hooks up with machinery that transcribes its coded message into a protein.

If RNA's only job were making proteins, then nearly all the RNAs produced in cells should be transcripts of protein-coding genes. (A small fraction of RNAs serve in the protein-transcription machinery.) But in 2005, Jill Cheng and her colleagues at Affymetrix, a genomics company in Santa Clara, Calif., showed that less than half of the RNA produced by 10 of the chromosomes in human cells represented transcripts of traditional genes. In the team's experiments, 57 percent of the RNA was transcribed from noncoding, "junk" regions.

The results from ENCODE were even more striking. In the slice of DNA studied in that project, between 74 percent and 93 percent of the genome produced RNA transcripts. What becomes of this tremendous output is uncertain. John M. Greally of the Albert Einstein College of Medicine in New York says it's likely that some portion of it is made accidentally and simply discarded. But the discovery that so much of the genome is being transcribed into RNA underscores how out-of-date the central dogma has become.

Indeed, the closer researchers look, the more functions they find that RNA transcripts perform. An alphabet soup of new acronyms describes the newfound roles of RNAs. First there were short nuclear RNAs (snRNAs) and short nucleolar RNAs (snoRNAs), both of which reside inside the nucleus and help control production of other RNAs. These were joined by microRNAs (miRNAs) and short interfering RNAs (siRNAs), which can modulate the activity of protein-coding genes. In mice, about 34,000 of the RNA transcripts produced by the genome are nonprotein-coding, outnumbering the roughly 32,000 transcripts that code for proteins, according to a 2005 study by an international group of scientists called the Functional Annotation of Mouse Consortium.

These new families of RNAs add a layer of regulation that fine-tunes the production of proteins. While scientists already knew that some proteins influence the activity of other genes, "there are many more RNAs than proteins that play a regulatory role," Ge says.

Gene regulation may not sound sexy, but it's a powerful way for a cell to evolve complex behaviors using the tools—proteins—that it already has. Consider the difference between a one-bedroom bungalow and an ornate, three-story McMansion. Both are made from roughly the same materials—lumber, drywall, wiring, plumbing—and are put together with the same tools—hammers, saws, nails, and screws. What makes the mansion more complex is the way that its construction is orchestrated by rules that specify when and where each tool and material must be used.

In cells, regulation controls when and where proteins spring into action. If the traditional genome is a set of blueprints for an organism, RNA regulatory networks are the assembly instructions. In fact, some scientists think that these additional layers of complexity in genome regulation could be the answer to a long-standing puzzle.

Genome As Network

The biggest surprise in the first sequence of the human genome was how few protein-coding genes it contained.

"We humans do not have that many more genes than simpler organisms like flies or mice," Ge says. Earlier guesses of the number of genes in humans ran as high as 100,000, but the published sequence in fact contained only about 23,000. That's not much more than the roughly 21,000 genes possessed by the roundworm, a microscopic creature without a brain. If protein-coding genes are the only functional elements in an organism's DNA, where does the extra information come from that's needed to assemble and operate the complex bodies and brains of people, as compared with the simplicity of roundworms? "If we just look at the number of genes, it doesn't make sense," Ge says.

While the number of genes isn't much different in roundworms and people, the human genome is 30 times the size of the roundworms'. People have a much larger quantity of DNA beyond what codes for proteins. Since much of this "junk" DNA is being transcribed into RNA, perhaps it's responsible for much of the complexity of human bodies and brains. In fact, organisms simpler than roundworms, such as single-celled bacteria, carry little noncoding DNA and may have no regulatory RNA at all.

"Scientists have been suspecting that it is the regulatory networks that lead to this amazing complexity" in higher organisms, Ge says.

John S. Mattick of the University of Queensland in Brisbane, Australia, points to a known example of the importance of regulatory RNAs: their crucial role in fetal development. For example, most multicellular animals possess a gene called Notch that helps guide neural development. While the gene itself has much the same form in both simple and complex animals, its activity is regulated by miRNAs that are highly variable from one animal to another. Such miRNAs also influence a gene called Hox, which acts in many animals to define a fetus' body axis and the placement of its limbs.

What's more, the changes that distinguish human brains from those of chimpanzees and other apes could be due in part to evolutionary changes in RNAs that don't encode proteins. A group led by Katherine S. Pollard of the University of California, Davis identified DNA sequences shared by people and chimpanzees, but with large differences, meaning that they have evolved rapidly since the two species shared a common ancestor.

The researchers found that one of these sequences is a noncoding region of DNA that's related to brain function, they reported in the Sept. 14, 2006 Nature. Pollard and her colleagues speculate that this region produces a regulatory RNA and that changes in this RNA contributed to the evolution of the human brain.

With regulatory RNAs appearing to play such an instrumental role in animal development, it's no surprise that scientists are finding disease-associated mutations in regions of the genome formerly regarded as junk.

David Altshuler of the Broad Institute in Cambridge, Mass., and his colleagues looked for DNA mutations in 1,464 patients with type 2 diabetes. Three of the mutations that correlated with the disease were in DNA segments that don't code for proteins, the team reported in the June 1 Science. Other scientists have found mutations in noncoding DNA that link to diseases such as autism, breast cancer, lung cancer, prostate cancer, and schizophrenia.

To be sure, the specific functions of most of the noncoding DNA remain unknown. Projects such as ENCODE have focused on identifying the broad functional categories for active regions of the genome without working out the specific cellular function of each transcript, a task that will take biologists years, if not decades.

In fact, scientists debate whether some fraction of the genome's copious RNA output might do nothing at all. It may simply be that once the cellular machinery that transcribes DNA into RNA gets started, it sometimes doesn't know when to stop. On the other hand, making lots of RNA that does nothing would be a waste of a cell's energy. That's something that natural systems tend to avoid, so the fact of its production argues for at least some of this RNA being biologically active.

The Gene Is Dead

In the old view, each gene sat in splendid isolation on its segment of the genome. Other genes might be nearby, but scientists assumed that they didn't overlap each other.

Now it's clear that a single length of DNA can be transcribed in multiple ways to produce many different RNAs, some coding for proteins and others constituting regulatory RNAs. By starting and stopping in different places, the transcription machinery can generate a regulatory RNA from a length of DNA that overlaps a protein-coding gene. Moreover, the code for another regulatory RNA might run in the opposite direction on the facing strand of DNA. According to the ENCODE project results, up to 72 percent of known genes have transcripts on the facing DNA strand as well as the main strand.



"The same sequences are being used for multiple functions," says Thomas R. Gingeras of Affymetrix. That introduces complications into the evolution of the genome, which had until recently been assumed to act through single DNA mutations affecting single genes. Now, "a mutation in one of those sequences has to be interpreted not only in terms of [one gene], but [of] all the other transcripts going through the region," Gingeras explains.

The implications of this single mutation–multiple consequence model are still a matter of debate. In some cases, the RNA transcripts from DNA that overlaps a protein-coding gene regulate that same gene, so a mutation could affect both the structure and the regulation of a protein. But often, those transcripts regulate genes that are far away, or even on different chromosomes. This complex interweaving of genes, transcripts, and regulation makes the net effect of a single mutation on an organism much more difficult to predict, Gingeras says.

More fundamentally, it muddies scientists' conception of just what constitutes a gene. In the established definition, a gene is a discrete region of DNA that produces a single, identifiable protein in a cell. But the functioning of a protein often depends on a host of RNAs that control its activity. If a stretch of DNA known to be a protein-coding gene also produces regulatory RNAs essential for several other genes, is it somehow a part of all those other genes as well?

To make things even messier, the genetic code for a protein can be scattered far and wide around the genome. The ENCODE project revealed that about 90 percent of protein-coding genes possessed previously unknown coding fragments that were located far from the main gene, sometimes on other chromosomes. Many scientists now argue that this overlapping and dispersal of genes, along with the swelling ranks of functional RNAs, renders the standard gene concept of the central dogma obsolete.

Long Live The Gene

Offering a radical new conception of the genome, Gingeras proposes shifting the focus away from protein-coding genes. Instead, he suggests that the fundamental units of the genome could be defined as functional RNA transcripts.

Since some of these transcripts ferry code for proteins as dutiful mRNAs, this new perspective would encompass traditional genes. But it would also accommodate new classes of functional RNAs as they're discovered, while avoiding the confusion caused by several overlapping genes laying claim to a single stretch of DNA. The emerging picture of the genome "definitely shifts the emphasis from genes to transcripts," agrees Mark B. Gerstein, a bioinformaticist at Yale University.

Scientists' definition of a gene has evolved several times since Gregor Mendel first deduced the idea in the 1860s from his work with pea plants. Now, about 50 years after its last major revision, the gene concept is once again being called into question.

REFERENCES CITED:

Cheng, J. . . . and T.R. Gingeras. 2005. Transcriptional maps of 10 human chromosomes at 5-nucleotide resolution. Science 308(May 20):1149-1154. Available at http://www.sciencemag.org/cgi/content/full/308/5725/1149.

Chopra, V.S., and R.K. Mishra. 2006. "Mir"acles in hox gene regulation. Bioessays 28(May):445-448. Abstract available at http://dx.doi.org/10.1002/bies.20401.

Claverie, J.-M. 2005. Fewer genes, more noncoding RNA. Science 309(Sept. 2):1529-1530. Abstract available at http://www.sciencemag.org/cgi/content/abstract/309/5740/1529.

Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research. 2007. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 316(June 1):1331-1336. Abstract available at http://www.sciencemag.org/cgi/content/abstract/316/5829/1331.

Gerstein, M.B., et al. 2007. What is a gene, post-ENCODE? History and updated definition. Genome Research 17(June):669-681. Available at http://www.genome.org/cgi/content/full/17/6/669.

Gingeras, T.R. 2007. Origin of phenotypes: Genes and transcripts. Genome Research 17(June):682-690. Available at http://www.genome.org/cgi/content/full/17/6/682.

Kapranov, P. . . . and T.R. Gingeras. 2007. RNA maps reveal new RNA classes and a possible function for pervasive transcription. Science 316(June 8):1484-1488. Abstract available at http://www.sciencemag.org/cgi/content/abstract/316/5830/1484.

______. 2002. Large-scale transcriptional activity in chromosomes 21 and 22. Science 296(May 3):916-919. Available at http://www.sciencemag.org/cgi/content/full/296/5569/916.

Mattick. J.S. and I.V. Makunin. 2006. Non-coding RNA. Human Molecular Genetics 15(April 15):R17-R29. Available at http://hmg.oxfordjournals.org/cgi/content/full/15/suppl_1/R17.

Mattick, J.S. 2005. The functional genomics of noncoding RNA. Science 309(Sept. 2):1527-1528. Abstract available at http://www.sciencemag.org/cgi/content/abstract/309/5740/1527.

______. 2004. RNA regulation: A new genetics? Nature Reviews Genetics 5(April):316-323. Abstract available at http://dx.doi.org/10.1038/nrg1321.

Moore, M.J. 2005. From birth to death: The complex lives of eukaryotic mRNAs. Science 309(Sept. 2):1514-1518. Abstract available at http://www.sciencemag.org/cgi/content/abstract/309/5740/1514.

Pollard, K.S., et al. 2006. An RNA gene expressed during cortical development evolved rapidly in humans. Nature 443(Sept. 14):167-172. Abstract available at http://dx.doi.org/10.1038/nature05113.

Prasanth, K.V., and D.L. Spector. 2007. Eukaryotic regulatory RNAs: An answer to the 'genome complexity' conundrum. Genes and Development 21(Jan. 1):11-42. Available at http://www.genesdev.org/cgi/content/full/21/1/11.

Strausberg, R.L., and S. Levy. 2007. Promoting transcriptome diversity. Genome Research 17(July):965-968. Abstract available at http://www.genome.org/cgi/content/abstract/17/7/965.

The ENCODE Project Consortium. 2007. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature 447(June 14):799-816. Available at http://dx.doi.org/10.1038/nature05874.

Wienholds, E., and R.H.A. Plasterk. 2005. MicroRNA function in animal development. FEBS Letters 579(Oct. 31):5911-5922. Available at http://dx.doi.org/10.1016/j.febslet.2005.07.070 .

Weinstock, G.M. 2007. ENCODE: More genomic empowerment. Genome Research 17(June):667-668. Available at http://www.genome.org/cgi/content/full/17/6/667.

Willingham, A.T., and T.R. Gingeras. 2006. TUF love for "junk" DNA. Cell 125(June 30):1215-1220. Available at http://dx.doi.org/10.1016/j.cell.2006.06.009.

Zamore, P.D., and B. Haley. 2005. Ribo-gnome: The big world of small RNAs. Science 309(Sept. 2)::1519-1524. Abstract available at http://www.sciencemag.org/cgi/content/abstract/309/5740/1519.

Further Readings:

Bower, B. 2006. Evolution's DNA difference: Noncoding gene tied to origin of human brain. Science News 170(Aug. 19):116. Available to subscribers at http://www.sciencenews.org/articles/20060819/fob4.asp.

Hesman, T. 2000. The meaning of life. Science News 157(April 29):284-285. Available at http://www.sciencenews.org/articles/20000429/bob9.asp.

Travis, J. 2002. Biological dark matter. Science News 161(Jan. 12):24-25. Available at http://www.sciencenews.org/articles/20020112/bob9.asp.

SOURCES:

David P. Bartel
Whitehead Institute
Nine Cambridge Center
Cambridge, MA 02142

George Church
Harvard Medical School
Genetics NRB Room 238
77 Avenue Louis Pasteur
Boston, MA 02115

Anindya Dutta
University of Virginia Health System
P.O. Box 800733
Charlottesville, VA 22908

Hui Ge
Whitehead Institute
Nine Cambridge Center
Cambridge, MA 02142

Mark B. Gerstein
Yale University
266 Whitney Avenue
New Haven, CT 06511-8902

John M. Greally
Albert Einstein College of Medicine
Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Ullmann Building, Room 911
Bronx, NY 10461

James Keesling
University of Florida
358 LIT
Gainesville, FL 32611

Elliott H. Margulies
Genome Technology Branch
National Human Genome Research Institute
Bethesda, MD 20892-8004

Zhiping Weng
Boston University
44 Cummington Street
Boston, MA 02215