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Cytosine Usage Modulates the Correlation between CDS Length and CG Content in Prokaryotic Genomes
Author(s) -
Xuhua Xia
Publication year - 2006
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msl012
Subject(s) - biology , genome , negative selection , cytosine , selection (genetic algorithm) , correlation , gc content , positive selection , negative correlation , genetics , evolutionary biology , computational biology , gene , computer science , machine learning , medicine , geometry , mathematics
Previous studies have argued that, given the AT-rich nature of stop codons, the length and CG% of coding sequences (CDSs) should be positively correlated. This prediction is generally supported empirically by prokaryotic genomes. However, the correlation is weak for a number of species, with 4 species showing a negative correlation. Here we formulate a more general hypothesis incorporating selection against cytosine (C) usage to explain the lack of strong positive correlation between the length and GC% of CDSs. Two factors contribute to the selection against C usage in long CDSs. First, C is the least abundant nucleotide in the cell, and a long CDS should have fewer Cs to increase transcription efficiency. Second, C is prone to mutation to U/T and selection for increased reliability should reduce C usage in long CDSs. Empirical data from prokaryotic genomes lend strong support for this new hypothesis.

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