ArticlePloS one2018
Codon usage bias reveals genomic adaptations to environmental conditions in an acidophilic consortium.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Analysis of heavy metal tolerance and genomics in an indigenous Kurthia strain from Kulik River reveals multi-metal resistance and dominance of selection pressure on codon usage patterns.Archives of microbiology · 2025Article
- Codon usage bias in yeasts and its correlation with gene expression, growth temperature, and protein structure.Frontiers in microbiology · 2024Article
- Determinants of associations between codon and amino acid usage patterns of microbial communities and the environment inferred based on a cross-biome metagenomic analysis.NPJ biofilms and microbiomes · 2023Article
- Codon usage bias and environmental adaptation in microbial organisms.Molecular genetics and genomics : MGG · 2021Article
- Signatures of optimal codon usage in metabolic genes inform budding yeast ecology.PLoS biology · 2021Article
- Co-occurrence Interaction Networks of Extremophile Species Living in a Copper Mining Tailing.Frontiers in microbiology · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of codon usage bias has been widely used to characterize different communities of microorganisms. In this context, the aim of this work was to study the codon usage bias in a natural consortium of five acidophilic bacteria used for biomining. The codon usage bias of the consortium was contrasted with genes from an alternative collection of acidophilic reference strains and metagenome samples. Results indicate that acidophilic bacteria preferentially have low codon usage bias, consistent with both their capacity to live in a wide range of habitats and their slow growth rate, a characteristic probably acquired independently from their phylogenetic relationships. In addition, the analysis showed significant differences in the unique sets of genes from the autotrophic species of the consortium in relation to other acidophilic organisms, principally in genes which code for proteins involved in metal and oxidative stress resistance. The lower values of codon usage bias obtained in this unique set of genes suggest higher transcriptional adaptation to living in extreme conditions, which was probably acquired as a measure for resisting the elevated metal conditions present in the mine.
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