Prediction of antibiotic resistance by gene expression profiles

Shingo Suzuki, Takaaki Horinouchi and Chikara Furusawa ()
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Shingo Suzuki: Quantitative Biology Center (QBiC), RIKEN
Takaaki Horinouchi: Quantitative Biology Center (QBiC), RIKEN
Chikara Furusawa: Quantitative Biology Center (QBiC), RIKEN

Nature Communications, 2014, vol. 5, issue 1, 1-12

Abstract: 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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6792

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DOI: 10.1038/ncomms6792

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