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January 7 - May 24, 2018
When evolutionary biologists plug estimates for these factors into the equations of population genetics, their calculations seem to imply that standard evolutionary mechanisms could generate significant amounts of evolutionary change in many groups of organisms—even enough to build complex systems. As long as mutations generate a continuous supply of new traits, any system, however complex, can be built one trait at a time—trait upon trait—via the creative power of natural selection. Or so the story goes.
According to Salisbury’s calculations, “The mutational mechanism as presently imagined could fall short by hundreds of orders of magnitude of producing, in a mere four billion years, even a single required gene.”
To overcome this improbability, Maynard Smith proposed a model of protein evolution. While admitting that the origin of the first proteins remained a mystery, he suggested that one protein could evolve into another as the result of small incremental changes in amino-acid sequences, provided each sequence maintained some function at each step along the way.
In other words, the kind of mutations the evolutionary process would need to produce new animal body plans—namely, beneficial regulatory changes expressed early in development—don’t occur. Whereas, the kind that it doesn’t need—viable genetic mutations in DNA generally expressed late in development—do occur. Or put more succinctly, the kind of mutations we need for major evolutionary change we don’t get; the kind we get we don’t need.
For example, early embryo development in the fruit fly Drosophila melanogaster requires the regulatory molecules Bicoid and Nanos (among others). The former is required for anterior (head) development, and the latter is required for posterior (tail) development.19 In the early stages of embryological development, nurse cells pump Bicoid and Nanos RNAs into the egg. (Nurse cells provide the cell that will become the egg—known as the oocyte—and the embryo with maternally encoded messenger RNAs and proteins.) Cytoskeletal arrays then transport these RNAs through the oocyte, where they become
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Genetic mutations are simply the wrong tool for the job at hand.
Moreover, any doubts that at least some biologists have begun to embrace a post-Darwinian perspective should have been laid to rest in the summer of 2008, when sixteen influential evolutionary biologists met for a private conference at the Konrad Lorenz Institute in Altenberg, Austria. The scientists, whom the science media later dubbed the “Altenberg 16,”3 met to explore the future of evolutionary theory. These biologists had many different, and sometimes conflicting, ideas about how new forms of life might have evolved. But all were united by the conviction that the neo-Darwinian synthesis
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In both of his examples Kauffman presupposes significant sources of preexisting information.
Even so, Kauffman’s proposal begs the most important question: What produces the new Cambrian body plans in the first place? By invoking “long-jump mutations,” he identifies no specific self-organizational process that can produce such changes.
In the first place, Newman obviously presupposes the existence of a “developmental genetic toolkit,” that is, a whole set of genes, including regulatory genes, that help to direct the development of animal body plans.
Whereas neo-Darwinism envisions new form arising as the result of slow, incremental accumulations of minor mutations, evolutionary developmental biologists argue that mutations affecting genes involved in animal development can cause large-scale morphological change and even whole new body plans.
In essence, he claims that his population genetics–based mathematical model shows that purely random mutations and genetic drift can generate extremely complex adaptations in realistic waiting times—that his neutral evolutionary theory solves the problem of complex adaptations and long expected waiting times discussed in Chapter 12. But some things are just too good to be true, and it turns out that Lynch and Abegg made a subtle but fundamental mathematical error in coming to their conclusion. Appropriately, perhaps, the first person to demonstrate that Lynch’s incredible claim was problematic
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Where does the programming come from
Yet a precedent comes very readily to mind, an intimately familiar one for us all. At present no one has any idea how our thoughts—the decisions and choices that occur in our conscious minds—affect our material brains, nerves, and muscles, going on to instantiate our will in the material world of objects. However, we know that is exactly what our thoughts do. We have no mechanistic explanation for the mystery of consciousness, nor what is called the “mind-body problem”—the enigma of how thought affects the material state of our brains, bodies, and the world that we affect with them. Yet there
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In 2012, a dramatic confirmation of one such prediction made by advocates of intelligent design occurred in the field of genomics. Three leading science journals, Nature, Genome Research, and Genome Biology, published a series of groundbreaking papers reporting on the results of a massive study of the human genome called the ENCODE project (short for Encyclopedia of DNA Elements).40 The conclusion: at least 80 percent of the genome performs significant biological functions, “dispatching the widely held view that the human genome is mostly ‘junk DNA.’ ”41 The discovery challenged a long held
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When scientists decide by fiat that intelligent
When we got to the top of the mountain, I was unprepared for the impact the fossils would have on me. I had seen many fossils before, of course. But seeing these fossils—marine animals from the dawn of animal life at the top of a mountain with their beautifully preserved appendages and organs—rendered the idea of the “Cambrian explosion” a good deal less theoretical for me than it had been. These complex sea creatures, now brushed by the thin air at an elevation of 7,500 feet in the middle of the Canadian Rockies, had apparently arisen suddenly, almost from nothing by way of ancestral forms,
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