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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Related Experiment Video

Updated: May 27, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes.

Tami D Lieberman1, Jean-Baptiste Michel, Mythili Aingaran

  • 1Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.

Nature Genetics
|November 15, 2011
PubMed
Summary
This summary is machine-generated.

Bacterial pathogens adapt during human infections. Researchers identified 17 genes in Burkholderia dolosa showing parallel adaptive evolution, revealing key pathogenic traits and potential new therapeutic targets.

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Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Genomics

Background:

  • Bacterial pathogens undergo evolution within human hosts.
  • Distinguishing adaptive from neutral mutations during infection is difficult.

Purpose of the Study:

  • To identify bacterial genes under adaptive evolution by detecting recurrent mutation patterns across multiple hosts.
  • To investigate the evolutionary dynamics of Burkholderia dolosa in cystic fibrosis patients.

Main Methods:

  • Retrospective genomic sequencing of 112 Burkholderia dolosa isolates from 14 cystic fibrosis patients over 16 years.
  • Analysis of mutation patterns to identify genes with parallel adaptive evolution.
  • Correlation of identified genes with pathogenic phenotypes.

Main Results:

  • 17 bacterial genes exhibited nonsynonymous mutations in multiple individuals, indicating parallel adaptive evolution.
  • Mutations affected antibiotic resistance, bacterial membrane composition, and oxygen-dependent regulation.
  • Several implicated genes were previously unknown in pathogenesis.

Conclusions:

  • Parallel molecular evolution in bacterial pathogens highlights key host-imposed selection pressures.
  • The identified genes represent potential novel therapeutic targets for Burkholderia dolosa infections.
  • Understanding adaptive evolution is crucial for combating infectious diseases.