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Evolution__3rd_Edition

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174 PART 2 / <strong>Evolution</strong>ary Genetics<br />

. . . and non-effects ...<br />

. . . but the explanations are<br />

controversial<br />

because the mutational process is influenced by generation length. DNA is copied<br />

fewer times per year in human gonads than in rat gonads. But why should there be less<br />

of a generation length influence (or even no influence) on the rate of evolution at nonsynonymous<br />

sites? We begin by assuming that many amino acid-changing mutations<br />

are slightly disadvantageous. In a species with a long generation length, such as a whale,<br />

we now have two factors to consider: (i) DNA is copied slowly per year, which reduces<br />

the mutation rate per year; and (ii) population sizes are small, which makes drift more<br />

powerful than selection. Slightly disadvantageous mutations are less likely to be eliminated<br />

by selection, and are more likely to be fixed by drift. Factor (i) slows the rate of<br />

evolution; factor (ii) speeds it up.<br />

Fruitflies, by contrast, have large population sizes but short generation times.<br />

They have a larger supply of mutations, because they copy their DNA more per year.<br />

But their population sizes are large, making fewer of the non-synonymous mutations<br />

effectively neutral. In all, generation length has two opposing influences on the rate of<br />

evolution for sites where many mutations are nearly neutral. Ohta suggests that the two<br />

effects could approximately cancel out, and the rate of evolution per year would be<br />

much the same whatever the generation length. That is her explanation for the possible<br />

absence of a generation time effect on the rate of amino acid substitutions. She may be<br />

right, but critics such as Gillespie argue that the two influences are unlikely to cancel<br />

each other out exactly. Then, some generation length effect would still be expected on<br />

the nearly neutral theory.<br />

By this stage, we are at the frontiers of research, both for the facts and the theories.<br />

The nearly neutral theory can in principle account for what is known about molecular<br />

evolution, but that is not to say it has been shown to explain molecular evolution. The<br />

main conceptual difference between the nearly neutral theory and Kimura’s original,<br />

purely neutral theory is in the use of population size. Population size does not affect the<br />

rate of evolution for purely neutral mutations. But it does affect the rate of evolution<br />

for nearly neutral mutations. This gives the nearly neutral theory great flexibility,<br />

because a wide variety of facts can be accounted for by assuming an appropriate history<br />

of population sizes. But the use of population sizes also make the theory difficult to test,<br />

because population sizes are difficult (and historic population sizes impossible) to<br />

measure. Kimura’s original purely neutral theory, by contrast, was much more testable<br />

because its predictions did not require us to know anything about population sizes.<br />

In summary, Ohta modified the purely neutral theory by positing a class of nearly<br />

neutral mutations. The relative power of selection and drift on these mutations depends<br />

on population sizes. The nearly neutral theory, by plausible arguments about population<br />

size, can account for several observations that present problems for Kimura’s<br />

purely neutral theory.<br />

7.5.4 The nearly neutral theory is conceptually closely related to<br />

the original, purely neutral theory<br />

The nearly neutral theory makes use of natural selection. In some circumstances (large<br />

population size), the theory draws on natural selection; in other circumstances (small<br />

population sizes), it does not. Nearly neutral theory might be thought to blur the distinction<br />

between “selectionist” and “neutralist” explanations of molecular evolution.<br />

..

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