Quotes from "The theory of facilitated variation"

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Quotes from "The theory of facilitated variation"

Postby Brian Tomasik on 2013-03-16T13:55:00

This article has no direct utilitarian value. Feel free to ignore it and do more important things. :)

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Summary

I discuss a few random thoughts on irreducible complexity and point to some interesting articles. At the end I quote several interesting passages from "The theory of facilitated variation."

Introduction

I've been bothered for many years by the seeming inadequacy of solutions to the problem of irreducible complexity. The example that started me reading more about this topic today was the gastric-brooding frog, which gives birth through its mouth: "the mother literally swallows its own eggs and then stops producing stomach acid so they can hatch in her belly, live as tadpoles, and six weeks later are 'born' as the mother frog vomits them up." Evolving this requires both being able to turn off stomach acid for 6 weeks and a behavioral impulse to swallow the eggs, which itself might be a pretty complex adaptation. (Maybe the swallowing came first and then turning off the stomach acid came later?)

Intelligent design

Most scientists dismiss intelligent-design explanations unreflectively, in my opinion. I think it's actually not out of the question that life has been designed, such as by our simulators or maybe by advanced aliens (though the alien explanation may contradict the fossil record). Biologists with knee-jerk reactions against weirder but not insane hypotheses like these are missing out.

That said, almost all of my probability is still on the hypothesis that irreducible complexity evolved on its own. My guess is that there's some simple, elegant mechanism that allows for evolution of irreducibly complex things, but we just haven't figured out that mechanism yet. It's similar to general intelligence: Artificial general intelligence is probably pretty easy (else how would evolution have produced it?), but there are just a few really creative ideas for building it that we haven't figured out yet.

Other explanations

The Wikipedia article on irreducible complexity has a few other decent responses. For example, I thought this was interesting:
They also assert that what evolved biochemical and molecular systems actually exhibit is "redundant complexity"—a kind of complexity that is the product of an evolved biochemical process. They claim that Behe overestimated the significance of irreducible complexity because of his simple, linear view of biochemical reactions, resulting in his taking snapshots of selective features of biological systems, structures and processes, while ignoring the redundant complexity of the context in which those features are naturally embedded.

The possibility of exaptation and the existence of naturally occurring arches are other important responses to think about.

Facilitated variation

A further theory that I found interesting was facilitated variation. I don't know how mainstream it is, but the few paragraphs I read about it sounded plausible. In particular, the theory suggests that most adaptations don't operate on the level of small phenotypic changes; rather, they operate on the level of parameter-tuning to more fundamental, basic algorithms in phenotypic development. This makes sense to me, because it also helps explain how organisms can have such complicated phenotypes and behaviors without having individual genes for every little change. It's like editing the relatively short bitstring that defines a Turing machine that goes on to output really complicated symbol patterns on its tape, rather than trying to change the tape itself by hard-coding the changes inside the Turing machine's instructions.

One objection here is that when you're dealing with changes to source code more than specific phenotypic details, it's easier to break things. 99.99+% of random changes to a software program would make it crash rather than causing it to do something better. Probably the key is to have extremely robust elementary systems that work well together and that function across a wide range of variations. For example, if you tune a parameter of a model, you can change it to almost any value without causing the system to crash. One Creationist article discussing facilitated variation uses the excellent analogy of "Lego blocks" -- parts that can be mixed and matched in almost any way and still work: "modular regulatory mechanisms that are built in special ways that allow them to be easily rearranged (like ® Lego blocks) into new combinations to generate variable offspring."

Following are some interesting quotes from "The theory of facilitated variation":
An example we will pursue later is that of the species of Darwin's finches that diverged in the Galapagos from a common ancestor. The beaks of some species are large and nutcracker-like, and those of others are small and forceps-like. As Darwin did, we too might imagine that many small heritable beak variations accrued slowly in the different species to create large observable differences. Small variations are arguably the only viable and selectable ones, because they would allow the upper and lower beaks, the adjacent skull bones, and head muscles to coevolve with each other in small selected steps, thereby maintaining viable intermediate beaks along the paths to the nutcracker and forceps forms. Repeated selections would be needed to coordinate the numerous, small, independent beak and head changes, all requiring genetic change. Is this an accurate appraisal of the paths of change? Or might the finch's own means of beak development coordinate many changes, allowing larger viable variations and a simpler, more rapid beak evolution?

[...]

Weak regulatory linkage is important in developmental plasticity, which West-Eberhard has persuasively argued is a frequent substrate for heritable regulatory cooption (14). This plasticity entails the choosing of alternative developmental pathways according to environmental inputs. Examples include male–female differences, learning, and alternate jaw structures. In her view, if the capacity to develop large phenotypic differences already exists in the organism as self-inhibited alternate states, and these can be elicited by simple signals (weak linkage), then large evolutionary steps can be made with a modicum of genetic change. In such cases, the distinction blurs between evolutionary gradualism and saltation (the generation of significant traits by single mutations). As an example, sex in some vertebrates (fish and reptiles) is determined environmentally (temperature, crowding, or social interactions) but in others, heritably (sex chromosomes). The underlying mechanisms for sex determination are similar in all vertebrates. It is just that an environmental stimulus (acting via weak linkage) has been replaced by a genetic one in the sex chromosome case.

[...]

Adaptable robust processes can support nonlethal phenotypic variation in other processes, a situation called “accommodation” by West-Eberhard (14). A specific example is the evolution of the tetrapod forelimb to a bird or bat wing. Not only did the length and thickness of bones change, but also the associated musculature, nerve connections, and vasculature. Did many regulatory changes occur in parallel, coordinated by selection, to achieve the coevolution of all these tissues in the limb evolving to a wing? The answer comes from studies of limb development showing that muscle, nerve, and vascular founder cells originate in the embryonic trunk and migrate into the developing limb bud, which initially contains only bone and dermis precursors. Muscle precursors are adaptable; they receive signals from developing dermis and bone (17) and take positions relative to them, wherever they are. Then, as noted previously, axons in large numbers extend into the bud from the nerve cord; some fortuitously contact muscle targets and are stabilized, and the rest shrink back. Finally, vascular progenitors enter. Wherever limb cells are hypoxic, they secrete signals that trigger nearby blood vessels to grow into their vicinity (18). This self-regulating vasculogenesis operates not just in the limb but throughout the body, accommodating to growing tissues, to exceptional demands such as pregnancy, and alas to growing tumors. The adaptability and robustness of normal muscle, nerve, and vascular development have significant implications for evolution, for these processes accommodate to evolutionary change as well. In the case of the evolving wing, if bones undergo regulatory change (driven by genetic change) in length and thickness, the muscles, nerves and vasculature will accommodate to those changes without requiring independent regulatory change. Coevolution is avoided. Selection does not have to coordinate multiple independently varying parts. Hence, less genetic change is needed, lethality is reduced, larger phenotypic changes are viable, and phenotypic variation is facilitated.

[...]

The theory predicts that developmental biologists will continue to find (i) more examples of core processes used in diverse developmental and physiological traits in different combinations, amounts, and states, and (ii) in each new case a few small regulatory changes sufficing to redeploy core processes, which are themselves robust and adaptable. When introduced experimentally, such regulatory changes should significantly alter the phenotype, and other processes should accommodate to the directly altered ones, giving viable outcomes. Furthermore, it predicts that, as comparative experimental studies uncover the history of evolutionary innovation in animals, regulatory types of changes will predominate. Indeed, as is already clear, altered cis-regulation of gene expression and altered production of secreted signals lie behind specific phenotypic changes in stickle back fish and Drosophila (34–36).

A recent example of bone morphogenetic protein (Bmp) and calmodulin signaling supports facilitated variation via robust adaptable processes. As described in the Introduction, Darwin noted the rapid divergence of beak morphologies by Galapagos finches. If we think mostly about selection and not phenotypic variation, we might imagine that selection acted repeatedly on many small changes occurring independently in the upper and lower beaks, adjacent skull, and head muscles to coordinate and order them into viable intermediate beaks throughout divergence. Many regulatory changes and many selections would be needed for this detailed coevolution of parts. Recent results, however, make a different impression. Tabin's group has compared two Galapagos finches, one with a large nutcracker-like beak and another with a small forceps-like beak (37). In beak development, neural crest cells migrate from the neural plate to five primordia around the mouth. The primordia of the large-beaked finch express Bmp earlier and at higher levels than do those of the small-beaked finch. To test the importance of this difference, they introduced Bmp protein into the primordia of a chicken embryo, which normally develops a small pointed beak. The experimental chick developed a deep, broad beak, like the large-beaked finch. The beak was not monstrous; its parts fit together and properly adjoined the head. Recently the same group demonstrated that elevated levels of calmodulin, a ubiquitous calcium signaling protein, correlate with increased beak length, and experimental increases of this protein in the developing chick beak caused coordinated increases in beak length (38). Thus, two highly conserved factors quantitatively control much of the overall anatomy of the beak and adjacent head, producing a functional structure. Much coordination of parts is inherent in beak development; selection need not direct a detailed coevolution of parts; larger beak variations may be viable and selectable. Similarly the exuberant radiation of jaws in cichlid fishes of Lake Malawi is now attributed to changes at a small number of quantitative trait loci (39), including for Bmp. These results imply quantitative adjustments on robust, adaptable processes due to a few regulatory changes rather than many small independent changes coordinated by repeated selections.


The article talks about the possibility of making big evolutionary changes via on-off switches. However, it doesn't address the question of how the really complex mechanisms being turned on were created in the first place.
Weak regulatory linkage is important in developmental plasticity, which West-Eberhard has persuasively argued is a frequent substrate for heritable regulatory cooption (14). This plasticity entails the choosing of alternative developmental pathways according to environmental inputs. Examples include male–female differences, learning, and alternate jaw structures. In her view, if the capacity to develop large phenotypic differences already exists in the organism as self-inhibited alternate states, and these can be elicited by simple signals (weak linkage), then large evolutionary steps can be made with a modicum of genetic change. In such cases, the distinction blurs between evolutionary gradualism and saltation (the generation of significant traits by single mutations). As an example, sex in some vertebrates (fish and reptiles) is determined environmentally (temperature, crowding, or social interactions) but in others, heritably (sex chromosomes). The underlying mechanisms for sex determination are similar in all vertebrates. It is just that an environmental stimulus (acting via weak linkage) has been replaced by a genetic one in the sex chromosome case.


A nice example of a very simple algorithm that allows for great robustness to changes:
some conserved core processes appear to search and find targets in large spaces or molecular populations. Specific connections are eventually made between the source and target. These processes display great robustness and adaptability and, we think, have been very important in the evolution of complex animal anatomy and physiology. Examples include the formation of microtubule structures, the connecting of axons and target organs in development, synapse elimination, muscle patterning, vasculogenesis, vertebrate adaptive immunity, and even behavioral strategies like ant foraging. All are based on physiological variation and selection. In the variation step, the core process generates not just two output states, but an enormous number, often at random and at great energetic expense. In the selective step, separate agents stabilize one or a few outputs, and the rest disappear. Although that agent seems to signal the distant process to direct outputs to it, it actually only selects locally via weak linkage among the many outputs independently generated by the process. Components of the variation and selection steps of the process are highly conserved.
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Re: Quotes from "The theory of facilitated variation"

Postby peterhurford on 2013-03-16T17:05:00

A lot of irreducible complexity is the result of processes like scaffolding, exaptation, and spandrelling. The TalkOrigins page Irreducible Complexity and Michael Behe: Do Biochemical Machines Show Intelligent Design? has way too much information on this kind of thing.
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Re: Quotes from "The theory of facilitated variation"

Postby Brian Tomasik on 2013-03-17T15:45:00

Cool, thanks for the links! I mentioned "The possibility of exaptation and the existence of naturally occurring arches," which you cited as well. Still, I don't know what fraction of complex adaptations each of these is responsible for. Something like facilitated variation still seems intuitively plausible, but I have no expertise on this topic.
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Re: Quotes from "The theory of facilitated variation"

Postby Brian Tomasik on 2013-03-20T19:16:00

I was thinking how Lamarckism is actually a lot more sensible than Darwinism. Cultural evolution is Lamarckian; technology is Lamarckian; digital brains will evolve in a Lamarckian way. It's pretty crazy to think that biology isn't somehow Lamarckian.

In optimization problems, it's so much easier if you move in a specific direction based on your objective function than if you randomly try a bunch of stuff and pick the ones that worked best. I once tried simulated annealing for an optimization problem, and my professor said, "Oh, that's going to be slow." And he was right: Random selection is so really inefficient compared with directed optimization.

Has biology really not produced Lamarckian mechanisms yet? They might help with explaining irreducible complexity. Anyway, I guess there are some neo-Lamarckian mechanisms, though I don't know what fraction of adaptations are attributable to them.
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