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Evolution__3rd_Edition

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438 PART 4 / <strong>Evolution</strong> and Diversity<br />

. . . but the techniques differ<br />

somewhat from morphology<br />

The quantities of evidence are large<br />

Different characters are<br />

commensurable<br />

species. The argument is relaxed for proteins, because there are 20 amino acid states,<br />

but it still applies because 20 fixed states is still a small number compared with the variety<br />

of morphological forms. Thus for molecules it is not so unlikely that similarity in<br />

the states of two species could have evolved independently. Moreover, the morphologist’s<br />

methods are absurd for molecules. The amino acid at site 12 of cytochrome c is<br />

methionine in humans, chimps, and rattlesnakes, but glutamine in all other species a<br />

including many mammals and birds a that have been studied. We cannot dissect the<br />

rattlesnake’s methionine, or trace its embryonic development, to see whether it is only<br />

“superficially” methionine and “more fundamentally” glutamine. It is a methionine<br />

molecule, and that is that.<br />

Nor can we usually assess the reliability of different pieces of molecular evidence by<br />

thinking about how natural selection could have acted on them. When morphologists<br />

examine a similarity between the organs of two species, they keep a look out for functional<br />

convergences a such as the evolution of wings in species that fly. This kind of<br />

analysis is impossible if we do not understand the relation between the structure (the<br />

wing) and its function (flight). For molecules, we usually lack this understanding. If we<br />

knew, for example, that a change from glutamine to methionine at site 12 of cytochrome<br />

c made functional sense in certain kinds of animals, then the same kind of arguments as<br />

appear in morphology could be used for the protein. Otherwise, we have to treat<br />

molecules in the way a morphologist would treat an organ of unknown function.<br />

Molecular sequences have other distinctive properties. The amount of evidence they<br />

provide is large; cytochrome c alone, for example, has 104 amino acids, which can be<br />

treated as 104 pieces of phylogenetic evidence. A typical morphological study might be<br />

based on perhaps 20 or so characters, and it is exceptional for many more than about 50<br />

characters to be used.<br />

In addition, the recognition of independent units of evidence appears to be straightforward.<br />

With morphological evidence, two apparently separate organs may really be a<br />

single evolutionary unit. At one extreme, non-independence is obvious; no one would<br />

think of treating the right leg and the left leg as two pieces of evidence. But less obvious<br />

correlations can also arise as a consequence of developmental processes, which makes<br />

the recognition of independence tricky. For nucleotides, the mutations down the DNA<br />

molecule are effectively independent as each site can evolve independently of each<br />

other site. 2<br />

<strong>Evolution</strong> at different amino acid and nucleotide sites is easily comparable: one<br />

change at one site is equivalent to one change at another. This is a huge advantage when<br />

we are weighing up conflicting evidence. Suppose the nucleotides at 10 sites support<br />

one phylogeny for a group of species, and the nucleotides at five other sites support a<br />

different phylogeny. Each of the 10 sites in one set is approximately equivalent to each<br />

of the five sites in the conflicting set. We can assume that the phylogeny supported<br />

by the 10 nucleotides is the better estimate of the true phylogeny. However, if one<br />

2 However, not all sites may in fact evolve independently. For instance, a change at one site may set up selection<br />

for a compensatory change at another site. How much of a problem, if any, this creates for phylogenetic<br />

inference is unsettled. Genomic analyses are starting to reveal the amount of non-independent change at different<br />

sites. Averof et al. (2000) found non-independence in one sequence comparison; Silva & Kondrashov<br />

(2002) did not in another. As genomic analyses proliferate, understanding should deepen.<br />

..

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