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摘要
En 中文
In this article, we develop an evolutionary model for protein sequence evolution. Gene pleiotropy is characterized by K distinct but correlated components (molecular phenotypes) that affect the organismal fitness. These K molecular phenotypes are under stabilizing selection with microadaptation (SM) due to random optima shifts, the SM model. Random coding mutations generate a correlated distribution of K molecular phenotypes. Under this SM model, we further develop a statistical method to estimate the effective number of molecular phenotypes (K-e) of the gene. Therefore, for the first time we can empirically evaluate gene pleiotropy from the protein sequence analysis. Case studies of vertebrate proteins indicate that K, is typically similar to 6-9. We demonstrate that the newly developed SM model of protein evolution may provide a basis for exploring genomic evolution and correlations.
Keyword:
MUTATION-SELECTION BALANCE
MAXIMUM-LIKELIHOOD
SUBSTITUTION RATE
FITNESS
POPULATIONS
ADAPTATION
SITES
MODEL
RATES
DNA
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5.1
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8.2K
被引数:
3.6W
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Estimation of spontaneous genome-wide mutation rate parameters: whither beneficial mutations?自发全基因组突变率参数的估计: 有益突变在哪里？.png)
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