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Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny
Although multilocus sequence typing (MLST) is highly discriminatory and useful for outbreak investigations and epidemiological surveillance, it has always been controversial whether clustering and phylogeny inferred from the MLST gene loci can represent the real phylogeny of bacterial strains. In th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495804/ https://www.ncbi.nlm.nih.gov/pubmed/28674428 http://dx.doi.org/10.1038/s41598-017-04707-4 |
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author | Tsang, Alan K. L. Lee, Hwei Huih Yiu, Siu-Ming Lau, Susanna K. P. Woo, Patrick C. Y. |
author_facet | Tsang, Alan K. L. Lee, Hwei Huih Yiu, Siu-Ming Lau, Susanna K. P. Woo, Patrick C. Y. |
author_sort | Tsang, Alan K. L. |
collection | PubMed |
description | Although multilocus sequence typing (MLST) is highly discriminatory and useful for outbreak investigations and epidemiological surveillance, it has always been controversial whether clustering and phylogeny inferred from the MLST gene loci can represent the real phylogeny of bacterial strains. In this study, we compare the phylogenetic trees constructed using three approaches, (1) concatenated blocks of homologous sequence shared between the bacterial genomes, (2) genome single-nucleotide polymorphisms (SNP) profile and (3) concatenated nucleotide sequences of gene loci in the corresponding MLST schemes, for 10 bacterial species with >30 complete genome sequences available. Major differences in strain clustering at more than one position were observed between the phylogeny inferred using genome/SNP data and MLST for all 10 bacterial species. Shimodaira-Hasegawa test revealed significant difference between the topologies of the genome and MLST trees for nine of the 10 bacterial species, and significant difference between the topologies of the SNP and MLST trees were present for all 10 bacterial species. Matching Clusters and R-F Clusters metrics showed that the distances between the genome/SNP and MLST trees were larger than those between the SNP and genome trees. Phylogeny inferred from MLST failed to represent genome phylogeny with the same bacterial species. |
format | Online Article Text |
id | pubmed-5495804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54958042017-07-07 Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny Tsang, Alan K. L. Lee, Hwei Huih Yiu, Siu-Ming Lau, Susanna K. P. Woo, Patrick C. Y. Sci Rep Article Although multilocus sequence typing (MLST) is highly discriminatory and useful for outbreak investigations and epidemiological surveillance, it has always been controversial whether clustering and phylogeny inferred from the MLST gene loci can represent the real phylogeny of bacterial strains. In this study, we compare the phylogenetic trees constructed using three approaches, (1) concatenated blocks of homologous sequence shared between the bacterial genomes, (2) genome single-nucleotide polymorphisms (SNP) profile and (3) concatenated nucleotide sequences of gene loci in the corresponding MLST schemes, for 10 bacterial species with >30 complete genome sequences available. Major differences in strain clustering at more than one position were observed between the phylogeny inferred using genome/SNP data and MLST for all 10 bacterial species. Shimodaira-Hasegawa test revealed significant difference between the topologies of the genome and MLST trees for nine of the 10 bacterial species, and significant difference between the topologies of the SNP and MLST trees were present for all 10 bacterial species. Matching Clusters and R-F Clusters metrics showed that the distances between the genome/SNP and MLST trees were larger than those between the SNP and genome trees. Phylogeny inferred from MLST failed to represent genome phylogeny with the same bacterial species. Nature Publishing Group UK 2017-07-03 /pmc/articles/PMC5495804/ /pubmed/28674428 http://dx.doi.org/10.1038/s41598-017-04707-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tsang, Alan K. L. Lee, Hwei Huih Yiu, Siu-Ming Lau, Susanna K. P. Woo, Patrick C. Y. Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title | Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title_full | Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title_fullStr | Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title_full_unstemmed | Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title_short | Failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
title_sort | failure of phylogeny inferred from multilocus sequence typing to represent bacterial phylogeny |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495804/ https://www.ncbi.nlm.nih.gov/pubmed/28674428 http://dx.doi.org/10.1038/s41598-017-04707-4 |
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