bcgTree: automatized phylogenetic tree building from bacterial core genomes
The need for multi-gene analyses in scientific fields such as phylogenetics and DNA barcoding has increased in recent years. In particular, these approaches are increasingly important for differentiating bacterial species, where reliance on the standard 16S rDNA marker can result in poor resolution....
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Published in | Genome Vol. 59; no. 10; pp. 783 - 791 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Canada
NRC Research Press
01.10.2016
Canadian Science Publishing NRC Research Press |
Subjects | |
Online Access | Get full text |
ISSN | 0831-2796 1480-3321 1480-3321 |
DOI | 10.1139/gen-2015-0175 |
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Summary: | The need for multi-gene analyses in scientific fields such as phylogenetics and DNA barcoding has increased in recent years. In particular, these approaches are increasingly important for differentiating bacterial species, where reliance on the standard 16S rDNA marker can result in poor resolution. Additionally, the assembly of bacterial genomes has become a standard task due to advances in next-generation sequencing technologies. We created a bioinformatic pipeline, bcgTree, which uses assembled bacterial genomes either from databases or own sequencing results from the user to reconstruct their phylogenetic history. The pipeline automatically extracts 107 essential single-copy core genes, found in a majority of bacteria, using hidden Markov models and performs a partitioned maximum-likelihood analysis. Here, we describe the workflow of bcgTree and, as a proof-of-concept, its usefulness in resolving the phylogeny of 293 publically available bacterial strains of the genus Lactobacillus. We also evaluate its performance in both low- and high-level taxonomy test sets. The tool is freely available at github (
https://github.com/iimog/bcgTree
) and our institutional homepage (
http://www.dna-analytics.biozentrum.uni-wuerzburg.de
). |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0831-2796 1480-3321 1480-3321 |
DOI: | 10.1139/gen-2015-0175 |