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Multi Locus Sequence Typing scheme for Acidithiobacillus caldus strain evaluation and differentiation.

Harold Nuñez1, David Loyola2, Juan Pablo Cárdenas3

  • 1Fundación Ciencia & Vida, Santiago, Chile.

Research in Microbiology
|September 2, 2014
PubMed
Summary

This study developed a Multi Locus Sequence Typing (MLST) scheme for Acidithiobacillus caldus (At. caldus) to explore genetic diversity. Results show moderate diversity, with industrial bioprocesses influencing microbial microdiversity patterns.

Keywords:
Acidithiobacillus caldusIndustrial isolatesMulti Locus Sequence Typing (MLST)PhylogeneticsSNPsSequence types

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Area of Science:

  • Microbiology
  • Genetics
  • Bioinformatics

Background:

  • Acidithiobacillus caldus (At. caldus) exhibits phenotypic, metabolic, and genetic variation.
  • Intraspecies genetic diversity within At. caldus remains underexplored.
  • Existing knowledge gaps hinder detailed characterization of At. caldus populations.

Purpose of the Study:

  • To design and implement a Multi Locus Sequence Typing (MLST) scheme for At. caldus.
  • To investigate the genetic diversity and population structure of industrial At. caldus isolates.
  • To establish a tool for strain identification, classification, and industrial monitoring.

Main Methods:

  • Selection of seven informative MLST markers using a bioinformatic pipeline.
  • Derivation of allelic profiles for thirteen At. caldus strains from diverse origins.
  • MLST-based population structure analysis.

Main Results:

  • Moderate genetic diversity was observed within the studied At. caldus strains, supporting their classification as a single species.
  • No clear evidence of geographical isolation was found.
  • Sequence type 1 was prevalent in heap leaching settings, suggesting bioprocess influence on microdiversity.

Conclusions:

  • The developed MLST scheme is effective for At. caldus strain identification and classification.
  • Bioprocess conditions significantly influence At. caldus microdiversity patterns in industrial environments.
  • The MLST scheme serves as a valuable tool for ecological, evolutionary, and industrial studies.