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Whole-genome sequencing reveals repeatable evolution in bacterial pathogens within hosts. This genomic insight into drug resistance and adaptation may predict infection progression and guide treatment.

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Area of Science:

  • Microbiology
  • Genomics
  • Evolutionary Biology

Background:

  • Whole-genome sequencing (WGS) enables the study of bacterial pathogen evolution during human infection.
  • Longitudinal studies of chronic infections reveal patterns of convergent evolution, suggesting evolutionary repeatability.
  • Understanding within-host evolution is crucial for managing opportunistic pathogens.

Purpose of the Study:

  • To review how WGS advances understanding of bacterial genome evolution within hosts.
  • To explore the adaptive potential of pathogens during chronic infections.
  • To discuss the future clinical applications of genomics in predicting and treating bacterial infections.

Main Methods:

  • Review of studies utilizing whole-genome sequencing for longitudinal analysis of bacterial pathogens.
  • Analysis of evolutionary patterns, including drug resistance and host adaptation.
  • Synthesis of findings on convergent evolution and adaptive potential.

Main Results:

  • WGS studies demonstrate remarkable patterns of convergent evolution in bacterial pathogens within hosts.
  • Evidence suggests a potent adaptive potential for pathogenicity in chronically infecting bacteria.
  • Genomic insights highlight the repeatability of evolutionary processes during infection.

Conclusions:

  • Genomic approaches have significantly advanced the understanding of within-host bacterial evolution.
  • Pathogen adaptation within hosts has profound implications for pathogenicity.
  • Future applications of genomics may enable prediction of clinical outcomes and personalized treatment strategies.