Correlated Selection on Amino Acid Deletion and Replacement in Mammalian Protein Sequences
Author(s) -
Yichen Zheng,
Dan Graur,
Ricardo B. R. Azevedo
Publication year - 2018
Publication title -
journal of molecular evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 123
eISSN - 1432-1432
pISSN - 0022-2844
DOI - 10.1007/s00239-018-9853-9
Subject(s) - nonsynonymous substitution , biology , synonymous substitution , genetics , phylogenetic tree , substitution (logic) , negative selection , correlation , gene , positive selection , selection (genetic algorithm) , codon usage bias , coding region , constraint (computer aided design) , mutation rate , molecular evolution , similarity (geometry) , evolutionary biology , genome , mathematics , artificial intelligence , geometry , computer science , programming language , image (mathematics)
A low ratio of nonsynonymous and synonymous substitution rates (dN/dS) at a codon is an indicator of functional constraint caused by purifying selection. Intuitively, the functional constraint would also be expected to prevent such a codon from being deleted. However, to the best of our knowledge, the correlation between the rates of deletion and substitution has never actually been estimated. Here, we use 8595 protein-coding region sequences from nine mammalian species to examine the relationship between deletion rate and dN/dS. We find significant positive correlations at the levels of both sites and genes. We compared our data against controls consisting of simulated coding sequences evolving along identical phylogenetic trees, where deletions occur independently of substitutions. A much weaker correlation was found in the corresponding simulated sequences, probably caused by alignment errors. In the real data, the correlations cannot be explained by alignment errors. Separate investigations on nonsynonymous (dN) and synonymous (dS) substitution rates indicate that the correlation is most likely due to a similarity in patterns of selection rather than in mutation rates.
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