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

Nuñez, H. and Loyola, D. and Cardenas, J.P. and Holmes, D.S. and Johnson, D.B. and Quatrini, R. (2014) Multi Locus Sequence Typing scheme for Acidithiobacillus caldus strain evaluation and differentiation. Research in Microbiology, 165 (9). pp. 735-742. DOI: 10.1016/j.resmic.2014.07.014

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Abstract

Phenotypic, metabolic and genetic properties of several Acidithiobacillus caldus strains indicate the existence of as yet undefined levels of variation within the species. Inspite of this, intraspecies genetic diversity has not yet been explored in detail. In this study, the design and implementation of a Multi Locus Sequence Typing (MLST) scheme for At. caldus is described. This represents the first MLST-based study applied to industrial isolates of the species. Seven informative and discriminant MLST markers were selected using a sequence-driven approach and a custom-designed bioinformatic pipeline. The allelic profiles of thirteen At. caldus strains from diverse geographical origins and industrial settings were derived using this scheme. MLST-based population structure analysis indicated only moderate amounts of genetic diversity within the set of strains, further supporting their current assignment to a single species. Also, no clear evidence for geographical isolation could be derived from this study. However, the prevalence of sequence type 1 in heap leaching industrial settings support the view that bioprocess conditions and dynamics may have a strong influence on At. caldus (microbial) microdiversity patterns. The MLST scheme presented herein is a valuable tool for the identification and classification of strains of At. caldus for either ecological or evolutionary studies and possibly also for industrial monitoring purposes.

Item Type: Article
Subjects: Research Publications
Departments: College of Natural Sciences > School of Biological Sciences
Date Deposited: 20 Feb 2015 03:37
Last Modified: 17 Mar 2015 22:51
ISSN: 0923-2508
URI: http://e.bangor.ac.uk/id/eprint/3538
Identification Number: DOI: 10.1016/j.resmic.2014.07.014
Publisher: Elsevier
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