Signatures of optimal codon usage in metabolic genes inform budding yeast ecology.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
04 2021
Historique:
received: 22 07 2020
accepted: 15 03 2021
revised: 29 04 2021
pubmed: 20 4 2021
medline: 25 8 2021
entrez: 19 4 2021
Statut: epublish

Résumé

Reverse ecology is the inference of ecological information from patterns of genomic variation. One rich, heretofore underutilized, source of ecologically relevant genomic information is codon optimality or adaptation. Bias toward codons that match the tRNA pool is robustly associated with high gene expression in diverse organisms, suggesting that codon optimization could be used in a reverse ecology framework to identify highly expressed, ecologically relevant genes. To test this hypothesis, we examined the relationship between optimal codon usage in the classic galactose metabolism (GAL) pathway and known ecological niches for 329 species of budding yeasts, a diverse subphylum of fungi. We find that optimal codon usage in the GAL pathway is positively correlated with quantitative growth on galactose, suggesting that GAL codon optimization reflects increased capacity to grow on galactose. Optimal codon usage in the GAL pathway is also positively correlated with human-associated ecological niches in yeasts of the CUG-Ser1 clade and with dairy-associated ecological niches in the family Saccharomycetaceae. For example, optimal codon usage of GAL genes is greater than 85% of all genes in the genome of the major human pathogen Candida albicans (CUG-Ser1 clade) and greater than 75% of genes in the genome of the dairy yeast Kluyveromyces lactis (family Saccharomycetaceae). We further find a correlation between optimization in the GALactose pathway genes and several genes associated with nutrient sensing and metabolism. This work suggests that codon optimization harbors information about the metabolic ecology of microbial eukaryotes. This information may be particularly useful for studying fungal dark matter-species that have yet to be cultured in the lab or have only been identified by genomic material.

Identifiants

pubmed: 33872297
doi: 10.1371/journal.pbio.3001185
pii: PBIOLOGY-D-20-02210
pmc: PMC8084343
doi:

Substances chimiques

Codon 0
Galactose X2RN3Q8DNE

Banques de données

figshare
['10.6084/m9.figshare.c.4498292', '10.6084/m9.figshare.c.5067962']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3001185

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Abigail Leavitt LaBella (AL)

Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.

Dana A Opulente (DA)

Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America.

Jacob L Steenwyk (JL)

Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.

Chris Todd Hittinger (CT)

Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, Center for Genomic Science Innovation, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

Antonis Rokas (A)

Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.

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