Synonymous codon usage (SCU) varies widely among human genes. In particular, genes involved in different functional categories display a distinct codon usage, which was interpreted as evidence that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. We demonstrate here that SCU is not driven by constraints on tRNA abundance, but by large-scale variation in GC-content, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). Expression in meiotic cells is associated with a strong decrease in recombination within genes. Differences in SCU among functional categories reflect differences in levels of meiotic transcription, which is linked to variation in recombination and therefore in gBGC. Overall, the gBGC model explains 70% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.
%0 Journal Article
%1 pouyet2017recombination
%A Pouyet, Fanny
%A Mouchiroud, Dominique
%A Duret, Laurent
%A Sémon, Marie
%D 2017
%I eLife Sciences Organisation, Ltd.
%J eLife
%K GC-biased_gene_conversion codon_bias context-dependent-mutation recombination
%R 10.7554/elife.27344
%T Recombination, meiotic expression and human codon usage
%U https://doi.org/10.7554%2Felife.27344
%V 6
%X Synonymous codon usage (SCU) varies widely among human genes. In particular, genes involved in different functional categories display a distinct codon usage, which was interpreted as evidence that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. We demonstrate here that SCU is not driven by constraints on tRNA abundance, but by large-scale variation in GC-content, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). Expression in meiotic cells is associated with a strong decrease in recombination within genes. Differences in SCU among functional categories reflect differences in levels of meiotic transcription, which is linked to variation in recombination and therefore in gBGC. Overall, the gBGC model explains 70% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.
@article{pouyet2017recombination,
abstract = {Synonymous codon usage (SCU) varies widely among human genes. In particular, genes involved in different functional categories display a distinct codon usage, which was interpreted as evidence that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. We demonstrate here that SCU is not driven by constraints on tRNA abundance, but by large-scale variation in GC-content, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). Expression in meiotic cells is associated with a strong decrease in recombination within genes. Differences in SCU among functional categories reflect differences in levels of meiotic transcription, which is linked to variation in recombination and therefore in gBGC. Overall, the gBGC model explains 70% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.},
added-at = {2017-09-05T00:18:46.000+0200},
author = {Pouyet, Fanny and Mouchiroud, Dominique and Duret, Laurent and S{\'{e}}mon, Marie},
biburl = {https://www.bibsonomy.org/bibtex/207bd5b43ba0191fe571ae5c7f83ada37/peter.ralph},
doi = {10.7554/elife.27344},
interhash = {c5d9e0f03f2390a6b11ea30fb765d8ff},
intrahash = {07bd5b43ba0191fe571ae5c7f83ada37},
journal = {{eLife}},
keywords = {GC-biased_gene_conversion codon_bias context-dependent-mutation recombination},
month = aug,
publisher = {{eLife} Sciences Organisation, Ltd.},
timestamp = {2017-09-05T00:18:46.000+0200},
title = {Recombination, meiotic expression and human codon usage},
url = {https://doi.org/10.7554%2Felife.27344},
volume = 6,
year = 2017
}