Abstract
The advent of inexpensive and rapid sequencing technologies has allowed bacterial whole-genome sequences to be generated at an unprecedented pace. This wealth of information has revealed an unanticipated degree of strain-to-strain genetic diversity within many bacterial species. Awareness of this genetic heterogeneity has corresponded with a greater appreciation of intraspecies variation in virulence. A number of comparative genomic strategies have been developed to link these genotypic and pathogenic differences with the aim of discovering novel virulence factors. Here, we review recent advances in comparative genomic approaches to identify bacterial virulence determinants, with a focus on genome-wide association studies and machine learning.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 621-633 |
| Number of pages | 13 |
| Journal | Trends in Microbiology |
| Volume | 29 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2021 |
Funding
This project was funded by the National Institute of Allergy and Infectious Diseases , National Institutes of Health awards F32 AI108247 (to J.P.A.), and RO1 AI118257 , U19 AI135964 , K24 AI04831 , R21 AI129167 , and R21 AI153953 (all to A.R.H.), and RO1 AI148259-01 (to E.S.). Financial support was also provided by the American Heart Association under Contract No. 15POST25830019 (to J.P.A.) . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Keywords
- bacteria
- genomics
- virulence
ASJC Scopus subject areas
- Microbiology (medical)
- Infectious Diseases
- Virology
- Microbiology
