02.05.2013 Views

Evolution__3rd_Edition

Evolution__3rd_Edition

Evolution__3rd_Edition

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

..<br />

Observed heterozygosity<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0 0 0.2 0.4 0.6 0.8 1.0<br />

The nearly neutral theory invokes<br />

an effect for population size<br />

Expected heterozygosity<br />

CHAPTER 7 / Natural Selection and Random Drift 171<br />

Figure 7.5<br />

Observed levels of genetic variation (measured as<br />

heterozygosities) are too constant between different species,<br />

with different population sizes, than the netural theory predicts.<br />

Each point gives the observed heterozygosity (y-axis) for a species<br />

(total 77 species), plotted against the “expected” heterozygosity<br />

from estimates of the population size and generation length<br />

of the species and assuming a neutral mutation rate of 10 −7 per<br />

generation. Species with large population sizes appear to have too<br />

little genetic variation, relative to the neutral theory’s prediction.<br />

Redrawn, by permission of the publisher, from Gillespie (1991).<br />

Yet another problem for the neutral theory appeared in the “McDonald–Kreitman<br />

test,” which we look at later in Section 7.8.3.<br />

7.5.2 The nearly neutral theory of molecular evolution posits a<br />

class of nearly neutral mutations<br />

In response to the factual difficulties we have just looked at, Ohta developed a modified<br />

version of the neutral theory. The modified version a the nearly neutral theory a grew<br />

in popularity until the 1990s. It is now a widely (though not universally) supported<br />

explanation for much of molecular evolution.<br />

Kimura’s original, “purely” neutral theory explained molecular evolution by exactly<br />

neutral mutations. For exactly neutral mutations, we can ignore population size.<br />

For purely neutral mutations, the rate of evolution equals the neutral mutation rate.<br />

Population size cancels out of the equation (Section 6.3, p. 144). Population sizes are<br />

difficult to measure, and it is a great advantage if we can ignore it. However, the purely<br />

neutral theory appears not to fit all the facts. The nearly neutral theory can explain a<br />

greater range of facts, by bringing population size back into the theory.<br />

Population size only cancels out for purely neutral mutations. For a nearly neutral<br />

mutation, the relative power of drift and selection depends on population size. Nearly<br />

neutral mutations behave as neutral mutations in small populations, and their fate is<br />

determined by random drift. They behave as non-neutral mutations in large populations,<br />

and their fate is determined by selection. To see why, consider a slightly disadvantageous<br />

mutation a one with a very small selective disadvantage. If it were purely neutral, its<br />

chance of eventually being fixed would be 1 /2N. If it is slightly disadvantageous, its<br />

chance of being fixed by random drift is slightly less than 1 /2N. In a small population,<br />

of 100 or so, the mutation has a fairly high chance (slightly less than one in 200) of<br />

ultimately being fixed by drift. But in a large population, of a million or so, the chance<br />

of being fixed by drift is negligible (slightly less than one in 1,000,000). This is just to<br />

restate the fact that drift is more powerful in small populations (Section 6.1, p. 138).<br />

A slightly advantageous mutation, with a selective advantage of s relative to the other<br />

allele at the locus, has some chance of being lost by random accidents even though it is

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!