Prediction of antibiotic resistance by gene expression profiles.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 25517437.
- Also identified by DOI 10.1038/ncomms6792 and PMC identifier 4351646.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Although many mutations contributing to antibiotic resistance have been identified, the relationship between the mutations and the related phenotypic changes responsible for the resistance has yet to be fully elucidated. To better characterize phenotype-genotype mapping for drug resistance, here we analyse phenotypic and genotypic changes of antibiotic-resistant Escherichia coli strains obtained by laboratory evolution. We demonstrate that the resistances can be quantitatively predicted by the expression changes of a small number of genes. Several candidate mutations contributing to the resistances are identified, while phenotype-genotype mapping is suggested to be complex and includes various mutations that cause similar phenotypic changes. The integration of transcriptome and genome data enables us to extract essential phenotypic changes for drug resistances.
Medical subject headings
- Anti-Bacterial Agents
- Drug Resistance, Multiple, Bacterial
- Escherichia coli
- Gene Expression Regulation, Bacterial
- Genes, Bacterial
- Models, Statistical