ArticleeLife2017
Codon optimization underpins generalist parasitism in fungi.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Article
- Synonymous codon usage defines functional gene families.BMC biology · 2026Article
- Genomic and physiological signatures of adaptation in pathogenic fungi.Nature communications · 2026Article
- Genus-wide comparative genomics ofIMA fungus · 2026Article
- Patterns and drivers of genome-wide codon usage bias in the fungal order Sordariales.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025Article
- Recombination and transposition drive genomic structural variation potentially impacting life history traits in a host-generalist fungal plant pathogen.BMC biology · 2025Article
- Lost in translation: conserved amino acid usage despite extreme codon bias in foraminifera.mBio · 2025Article
- Composition and Codon Usage Pattern Results in Divergence of theJournal of fungi (Basel, Switzerland) · 2022Article
- The evolutionary and molecular features of the broad-host-range plant pathogen Sclerotinia sclerotiorum.Molecular plant pathology · 2022Review
- Lifestyle Transitions in Fusarioid Fungi are Frequent and Lack Clear Genomic Signatures.Molecular biology and evolution · 2022Article
- Kingdom-Wide Analysis of Fungal Protein-Coding and tRNA Genes Reveals Conserved Patterns of Adaptive Evolution.Molecular biology and evolution · 2022Article
- Sources of genomic diversity in the self-fertile plant pathogen, Sclerotinia sclerotiorum, and consequences for resistance breeding.PloS one · 2022Article
- Transcriptional response to host chemical cues underpins the expansion of host range in a fungal plant pathogen lineage.The ISME journal · 2022Article
- Ionizing radiation and chemical oxidant exposure impacts on Cryptococcus neoformans transfer RNAs.PloS one · 2022Article
- Analysis of codon usage patterns in open reading frame 4 of hepatitis E viruses.Beni-Suef University journal of basic and applied sciences · 2022Article
- Comparative study of codon usage profiles of Zingiber officinale and its associated fungal pathogens.Molecular genetics and genomics : MGG · 2021Article
- Signatures of optimal codon usage in metabolic genes inform budding yeast ecology.PLoS biology · 2021Article
- Genome-wide alternative splicing profiling in the fungal plant pathogen Sclerotinia sclerotiorum during the colonization of diverse host families.Molecular plant pathology · 2021Article
- Rapid identification of an Arabidopsis NLR gene as a candidate conferring susceptibility to Sclerotinia sclerotiorum using time-resolved automated phenotyping.The Plant journal : for cell and molecular biology · 2020Article
- Hidden patterns of codon usage bias across kingdoms.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The range of hosts that parasites can infect is a key determinant of the emergence and spread of disease. Yet, the impact of host range variation on the evolution of parasite genomes remains unknown. Here, we show that codon optimization underlies genome adaptation in broad host range parasites. We found that the longer proteins encoded by broad host range fungi likely increase natural selection on codon optimization in these species. Accordingly, codon optimization correlates with host range across the fungal kingdom. At the species level, biased patterns of synonymous substitutions underpin increased codon optimization in a generalist but not a specialist fungal pathogen. Virulence genes were consistently enriched in highly codon-optimized genes of generalist but not specialist species. We conclude that codon optimization is related to the capacity of parasites to colonize multiple hosts. Our results link genome evolution and translational regulation to the long-term persistence of generalist parasitism.
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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.