Nonrandom Spatial Distribution of Synonymous Substitutions in the GP63 Gene From Leishmania
Author(s) -
Fernando Álvarez-Valín,
José F. Tort,
Giorgio Bernardi
Publication year - 2000
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/155.4.1683
Subject(s) - biology , nonsynonymous substitution , genetics , synonymous substitution , gene , codon usage bias , divergence (linguistics) , phylogenetic tree , molecular evolution , substitution (logic) , evolutionary biology , phenotype , negative selection , natural selection , selection (genetic algorithm) , genome , linguistics , philosophy , artificial intelligence , computer science , programming language
In this work we analyze the variability in substitution rates in the GP63 gene from Leishmania. By using a sliding window to estimate substitution rates along the gene, we found that the rate of synonymous substitutions along the GP63 gene is highly correlated with both the rate of amino acid substitution and codon bias. Furthermore, we show that comparisons involving genes that represent independent phylogenetic lines yield very similar divergence/conservation patterns, thus suggesting that deterministic forces (i.e., nonstochastic forces such as selection) generated these patterns. We present evidence indicating that the variability in substitution rates is unambiguously related to functionally relevant features. In particular, there is a clear relationship between rates and the tertiary structure of the encoded protein since all divergent segments are located on the surface of the molecule and facing one side (almost parallel to the cell membrane) on the exposed surface of the organism. Remarkably, the protein segments encoded by these variable regions encircle the active site in a funnel-like distribution. These results strongly suggest that the pattern of nucleotide divergence and, notably, of synonymous divergence is affected by functional constraints.
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