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Evolution__3rd_Edition

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..<br />

. . . as happened in one study of<br />

human phylogeny<br />

A set of species may have too<br />

little ...<br />

. . . or too much change for<br />

phylogenetic inference<br />

CHAPTER 15 / The Reconstruction of Phylogeny 455<br />

Another interesting result is that the mitochondrial types do not fall into the groupings<br />

that might have been expected. Look, for instance, at the Yorubans. The caption<br />

reveals which numbers in the picture are Yoruban mitochondrial types, and they are<br />

scattered through the phylogeny, even though all Yorubans live in Nigeria; likewise,<br />

Papua New Guineans do not form a discrete group. This might be because our naive<br />

expectations are incorrect a but it is more likely to be because the tree is unreliable. The<br />

tree is a “local optimum.” It appears to be the most parsimonious tree, because it has<br />

only been compared with trees that are similar to itself and not with very different trees.<br />

When the program was rerun, starting in different regions of the tree space, many more<br />

trees were found that were more parsimonious than the one in Figure 15.18. Some had<br />

African deep roots, and others did not, and the different trees showed all sorts of groupings<br />

of human populations (Templeton 1993).<br />

In summary, when the number of species (or other taxa) at the tips of the phylogeny<br />

is large, the number of possible phylogenies may be too high for all of them to be<br />

searched. The algorithms that are used to search among the trees are often reliable,<br />

but not infallible. The main danger is that an algorithm will become stuck on a local<br />

optimum a a tree that on local comparisons seems to be the best estimate of the true<br />

tree, but is not in fact the best estimate among all the possible trees.<br />

15.11.3 Species in a phylogeny may have diverged too little or too much<br />

We saw above (Sections 15.9.3 and 15.10.1) how we need a molecule that has evolved<br />

an appropriate amount for the phylogeny under analysis. Molecular phylogenetics can<br />

run into difficulties if the molecules have not yet evolved far enough apart between the<br />

species, or if they have evolved apart too much and all the sites are “saturated” with<br />

change. In terms of Figure 15.13, the amount of change should not be so small that the<br />

data are all near the origin, and it should not be so large that the data are in the “leveled<br />

off ” part of the graph (region III).<br />

Vigilant et al.’s (1991) data illustrate the problem of too little evolutionary change.<br />

Figure 15.18 has 135 tips, but only 119 changes that can distinguish between alternative<br />

trees. The relations between human populations are better resolved by more rapidly<br />

evolving parts of our DNA (Cavalli-Sforza 2000).<br />

The opposite problem, of too much change, arises in rapidly evolving life forms<br />

such as RNA viruses. It is probably impossible to recover the phylogeny of different<br />

kinds of RNA viruses, such as HIV, influenza virus, and polio virus. We can find the<br />

phylogeny of different strains of HIV, or of influenza virus, but the relations between<br />

these major types are more uncertain (Holmes et al. 1996). Likewise, the phylogeny of<br />

life forms that had common ancestors in the deep past are difficult to recover. No<br />

molecules evolve slow enough to reveal the 3,000 million-year-old relations between<br />

the three major domains of life a Archaea, Bacteria, and Eukarya. In this case there is a<br />

further problem of horizontal gene transfer. Genes seem to move relatively readily<br />

between bacteria, and even between archaeans and bacteria. The Archaea, Bacteria, and<br />

Eukarya may not have a normal tree-like phylogeny. Some bacterial genes may be closer<br />

to archaeans, and other bacterial genes may be closer to eukaryotes. The true phylogeny<br />

would then be an anastomizing network rather than a branching tree (Figure 15.19).

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