ArticleeLife2017
Recombination, meiotic expression and human codon usage.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synonymous but Not Silent: The Codon Usage Code for Gene Expression and Protein Folding.Annual review of biochemistry · 2021Pooled it
- Synonymous codon usage shapes ERα function through specialized translational programs during breast cancer progression.Oncogene · 2026Article
- Why recombination hotspots?PLoS genetics · 2026Review
- Functional synonymous mutations and their evolutionary consequences.Nature reviews. Genetics · 2025Review
- Donor transcription suppresses D-loops in cis and promotes genome stability.The EMBO journal · 2025Article
- Evolution of GC-biased gene conversion by natural selection.Genetics · 2025Article
- Unravelling molecular dynamics in living cells: Fluorescent protein biosensors for cell biology.Journal of microscopy · 2025Review
- Variation in the fitness impact of translationally optimal codons among animals.Genome research · 2025Article
- Viral codon usage and the virus-host interactions.Frontiers in microbiology · 2025Review
- SARS-CoV-2 Displays a Suboptimal Codon Usage Bias for Efficient Translation in Human Cells Diverted by Hijacking the tRNA Epitranscriptome.International journal of molecular sciences · 2024Article
- The GC-content at the 5' ends of human protein-coding genes is undergoing mutational decay.Genome biology · 2024Article
- Increased Positive Selection in Highly Recombining Genes Does not Necessarily Reflect an Evolutionary Advantage of Recombination.Molecular biology and evolution · 2024Article
- Codon-optimization in gene therapy: promises, prospects and challenges.Frontiers in bioengineering and biotechnology · 2024Review
- mRNA nuclear export: how mRNA identity features distinguish functional RNAs from junk transcripts.RNA biology · 2024Review
- Emergence and influence of sequence bias in evolutionarily malleable, mammalian tandem arrays.BMC biology · 2023Article
- An investigation of codon usage pattern analysis in pancreatitis associated genes.BMC genomic data · 2022Article
- Exonic splicing code and protein binding sites for calcium.Nucleic acids research · 2022Article
- The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interface.NAR genomics and bioinformatics · 2022Article
- Purging of deleterious burden in the endangered Iberian lynx.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Evolutionary dynamics of codon usages for peste des petits ruminants virus.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.