Hierarchical and spatially explicit clustering of DNA sequences with BAPS software

Cheng, Lu ORCID: https://orcid.org/0000-0002-6391-2360, Connor, Thomas Richard ORCID: https://orcid.org/0000-0003-2394-6504, Siren, J., Aanensen, D. M. and Corander, J. 2013. Hierarchical and spatially explicit clustering of DNA sequences with BAPS software. Molecular Biology and Evolution 30 (5) , pp. 1224-1228. 10.1093/molbev/mst028

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Abstract

Phylogeographical analyses have become commonplace for a myriad of organisms with the advent of cheap DNA sequencing technologies. Bayesian model-based clustering is a powerful tool for detecting important patterns in such data and can be used to decipher even quite subtle signals of systematic differences in molecular variation. Here, we introduce two upgrades to the Bayesian Analysis of Population Structure (BAPS) software, which enable 1) spatially explicit modeling of variation in DNA sequences and 2) hierarchical clustering of DNA sequence data to reveal nested genetic population structures. We provide a direct interface to map the results from spatial clustering with Google Maps using the portal http://www.spatialepidemiology.net/ and illustrate this approach using sequence data from Borrelia burgdorferi. The usefulness of hierarchical clustering is demonstrated through an analysis of the metapopulation structure within a bacterial population experiencing a high level of local horizontal gene transfer. The tools that are introduced are freely available at http://www.helsinki.fi/bsg/software/BAPS/.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences Systems Immunity Research Institute (SIURI)
Subjects:	Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics
Uncontrolled Keywords:	genetic population structure; phylogeographics; Bayesian inference; evolutionary epidemiology
Publisher:	Oxford University Press
ISSN:	0737-4038
Last Modified:	24 Oct 2022 11:57
URI:	https://orca.cardiff.ac.uk/id/eprint/49871

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