Inference of bacterial microevolution using multilocus sequence data.

We describe a model-based method for using multilocus sequence data to infer the clonal relationships of bacteria and the chromosomal position of homologous recombination events that disrupt a clonal pattern of inheritance. The key assumption of our model is that recombination events introduce a con...

Full description

Bibliographic Details
Main Authors: Didelot, X, Falush, D
Format: Journal article
Language:English
Published: 2007
_version_ 1826289833866166272
author Didelot, X
Falush, D
author_facet Didelot, X
Falush, D
author_sort Didelot, X
collection OXFORD
description We describe a model-based method for using multilocus sequence data to infer the clonal relationships of bacteria and the chromosomal position of homologous recombination events that disrupt a clonal pattern of inheritance. The key assumption of our model is that recombination events introduce a constant rate of substitutions to a contiguous region of sequence. The method is applicable both to multilocus sequence typing (MLST) data from a few loci and to alignments of multiple bacterial genomes. It can be used to decide whether a subset of isolates share common ancestry, to estimate the age of the common ancestor, and hence to address a variety of epidemiological and ecological questions that hinge on the pattern of bacterial spread. It should also be useful in associating particular genetic events with the changes in phenotype that they cause. We show that the model outperforms existing methods of subdividing recombinogenic bacteria using MLST data and provide examples from Salmonella and Bacillus. The software used in this article, ClonalFrame, is available from http://bacteria.stats.ox.ac.uk/.
first_indexed 2024-03-07T02:34:56Z
format Journal article
id oxford-uuid:a879f87e-45f3-42bd-9013-b262c8c273db
institution University of Oxford
language English
last_indexed 2024-03-07T02:34:56Z
publishDate 2007
record_format dspace
spelling oxford-uuid:a879f87e-45f3-42bd-9013-b262c8c273db2022-03-27T03:01:46ZInference of bacterial microevolution using multilocus sequence data.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a879f87e-45f3-42bd-9013-b262c8c273dbEnglishSymplectic Elements at Oxford2007Didelot, XFalush, DWe describe a model-based method for using multilocus sequence data to infer the clonal relationships of bacteria and the chromosomal position of homologous recombination events that disrupt a clonal pattern of inheritance. The key assumption of our model is that recombination events introduce a constant rate of substitutions to a contiguous region of sequence. The method is applicable both to multilocus sequence typing (MLST) data from a few loci and to alignments of multiple bacterial genomes. It can be used to decide whether a subset of isolates share common ancestry, to estimate the age of the common ancestor, and hence to address a variety of epidemiological and ecological questions that hinge on the pattern of bacterial spread. It should also be useful in associating particular genetic events with the changes in phenotype that they cause. We show that the model outperforms existing methods of subdividing recombinogenic bacteria using MLST data and provide examples from Salmonella and Bacillus. The software used in this article, ClonalFrame, is available from http://bacteria.stats.ox.ac.uk/.
spellingShingle Didelot, X
Falush, D
Inference of bacterial microevolution using multilocus sequence data.
title Inference of bacterial microevolution using multilocus sequence data.
title_full Inference of bacterial microevolution using multilocus sequence data.
title_fullStr Inference of bacterial microevolution using multilocus sequence data.
title_full_unstemmed Inference of bacterial microevolution using multilocus sequence data.
title_short Inference of bacterial microevolution using multilocus sequence data.
title_sort inference of bacterial microevolution using multilocus sequence data
work_keys_str_mv AT didelotx inferenceofbacterialmicroevolutionusingmultilocussequencedata
AT falushd inferenceofbacterialmicroevolutionusingmultilocussequencedata