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In order to make a direct link between function and the molecular evolution rate we labeled each pair with only their most specific shared functions from GO terms.
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To evaluate the molecular evolution rates we compared protein sequence of orthologous exons and measured the similarity using the Blosum62 matrix.
To further verify the selection pressure, we compared the evolution rates that we obtained with those of the four-fold degenerate sites that were suggested as neutral references in yeast [ 60]. 1,952,398 four-fold degenerate sites were identified in 6,392 yeast genes.
Moreover, because of the variable evolution rate among species we observed, the clock model with independent rates among lineages specified by a log-normal probability distribution was adopted [ 29].
As we expected, the evolution rate obtained in these regions appeared to be sufficiently consistent to accurately discriminate closely related taxa.
To evaluate if this would be the case for YER067W, we analyzed the evolution rate of this gene and examined the phylogenetic history of Yer067w protein family.
We then compared the evolution rate of the different paralogous sequences with their patterns of expression.
Here, we have showed that PGL, sequence evolution rate and CAI are interdependent as already found in eukaryotes [ 35].
After the sequences were obtained, we used our fitting method to get the evolution rate, without including the hidden parameters.
Similarly, we determined the best clock model for estimating the evolution rate of the gag gene.
We found no evidence that mRNA abundance significantly influences the evolution rate of paralogous genes.
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