Deciphering the distance to antibiotic resistance for the pneumococcus using genome sequencing data.

ABSTRACT: Advances in genome sequencing technologies and genome-wide association studies (GWAS) have provided unprecedented insights into the molecular basis of microbial phenotypes and enabled the identification of the underlying genetic variants in real populations. However, utilization of genome sequencing in clinical phenotyping of bacteria is challenging due to the lack of reliable and accurate approaches. Here, we report a method for predicting microbial resistance patterns using genome sequencing data. We analyzed whole genome sequences of 1,680 Streptococcus pneumoniae isolates from four independent populations using GWAS and identified probable hotspots of genetic variation which correlate with phenotypes of resistance to essential classes of antibiotics. With the premise that accumulation

SUBMITTER: Mobegi FM 

PROVIDER: S-EPMC5311915 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature