4.7 Review

Within-host evolution of bacterial pathogens

期刊

NATURE REVIEWS MICROBIOLOGY
卷 14, 期 3, 页码 150-162

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NATURE PORTFOLIO
DOI: 10.1038/nrmicro.2015.13

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资金

  1. UK Biotechnology and Biological Sciences Research Council (BBSRC) [BB/L023458/1]
  2. UK National Institute for Health Research (NIHR) Health Protection Research Unit on Modelling Methodology [HPRU-2012-10080]
  3. Wellcome Trust [101237/Z/13/Z, WT098615]
  4. Royal Society [101237/Z/13/Z]
  5. Health Innovation Challenge Fund
  6. UK Department of Health [HICF-T5-358]
  7. NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance [HPRU-2012-10041]
  8. NIHR Oxford Biomedical Research Centre
  9. BBSRC [BB/L023458/1] Funding Source: UKRI
  10. MRC [MR/K010174/1] Funding Source: UKRI
  11. Biotechnology and Biological Sciences Research Council [BB/L023458/1] Funding Source: researchfish
  12. Medical Research Council [MR/K010174/1, MR/K010174/1B] Funding Source: researchfish
  13. National Institute for Health Research [NF-SI-0508-10279, RP-PG-0514-20015, NF-SI-0513-10110, HPRU-2012-10080] Funding Source: researchfish

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Whole-genome sequencing has opened the way for investigating the dynamics and genomic evolution of bacterial pathogens during the colonization and infection of humans. The application of this technology to the longitudinal study of adaptation in an infected host-in particular, the evolution of drug resistance and host adaptation in patients who are chronically infected with opportunistic pathogens-has revealed remarkable patterns of convergent evolution, suggestive of an inherent repeatability of evolution. In this Review, we describe how these studies have advanced our understanding of the mechanisms and principles of within-host genome evolution, and we consider the consequences of findings such as a potent adaptive potential for pathogenicity. Finally, we discuss the possibility that genomics may be used in the future to predict the clinical progression of bacterial infections and to suggest the best option for treatment.

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