Downloads provided by UsageCounts
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.
translational selection, QH301-705.5, Science, codon Usage, Gene Conversion, biased gene conversion, RNA, Transfer, Translational selection, meiosis, Humans, Biology (General), Codon, Codon Usage, Base Composition, Models, Genetic, Genome, Human, Q, R, Genetic Variation, Genetics and Genomics, recombination, Recombination, [SDV] Life Sciences [q-bio], Meiosis, Genetic Code, Medicine, Biased gene conversion
translational selection, QH301-705.5, Science, codon Usage, Gene Conversion, biased gene conversion, RNA, Transfer, Translational selection, meiosis, Humans, Biology (General), Codon, Codon Usage, Base Composition, Models, Genetic, Genome, Human, Q, R, Genetic Variation, Genetics and Genomics, recombination, Recombination, [SDV] Life Sciences [q-bio], Meiosis, Genetic Code, Medicine, Biased gene conversion
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 7 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts