PROCOV
PROtein COVarion analysis
Maximum likelihood estimation of phylogeny under protein covarion models
The
covarion hypothesis
of protein
evolution proposes
that
selective pressures on an amino acid or nucleotide site change
throughout time, rusulting in changes of evolutionary rates of sites
along the branches of a phylogenetic
tree (W. M. Fitch
& E. Markowitz, Biochem. Genet. 4: 479-593, 1970 ). Covarion-like
evolution is now recognized as an important
mode of molecular
evolution in proteins,
structural RNA genes and protein-coding genes. Empirical
studies have shown that phylogenetic estimation under a covarion
model may recover different optimal topologies than when estimation is
performed ignoring covarion effects. Simulation studies have
demonstrated that under
some edge-length conditions, use of rates-across-sites models that
ignore
covarion effects may cause long branch repulsion biases in the
resulting
phylogenetic estimates (Wang, Susko, Spencer & Roger,
2008).
PROCOV
implements a
number of covarion models of protein evolution (Tuffley and
Steel, 1998; Galtier, 2001; Huelsenbeck,
2002; Wang et al.,
2007). It
evaluates the maximum likelihood of a given tree under these covarion
models
and optimize the tree topology using the subtree pruning and regrafting
tree-searching algorithm. Covarion models may be especially useful for
phylogenetic estimation when ancient divergences between sequences have
occurred and rates of evolution at sites are likely to have changed
over the
tree. It can also be used to study functional shifts in protein
families that
result in changes in site-rates in subtrees.