Table S3 from Enterobase: hierarchical clustering of 100,000 s of bacterial genomes into species/sub-species and populations
收藏The Royal Society Figshare2022-07-15 更新2026-04-17 收录
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https://rs.figshare.com/articles/dataset/Table_S3_from_Enterobase_hierarchical_clustering_of_100_000_s_of_bacterial_genomes_into_species_sub-species_and_populations/20319094/1
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The definition of bacterial species is traditionally a taxonomic issue while bacterial populations are identified by population genetics. These assignments are species specific, and depend on the practitioner. Legacy multilocus sequence typing is commonly used to identify sequence types (STs) and clusters (ST Complexes). However, these approaches are not adequate for the millions of genomic sequences from bacterial pathogens that have been generated since 2012. EnteroBase (http://enterobase.warwick.ac.uk) automatically clusters core genome MLST allelic profiles into hierarchical clusters (HierCC) after assembling annotated draft genomes from short-read sequences. HierCC clusters span core sequence diversity from the species level down to individual transmission chains. Here we evaluate HierCC's ability to correctly assign 100 000 s of genomes to the species/subspecies and population levels for <i>Salmonella, Escherichia, Clostridoides, Yersinia, Vibrio</i> and <i>Streptococcus</i>. HierCC assignments were more consistent with maximum-likelihood super-trees of core SNPs or presence/absence of accessory genes than classical taxonomic assignments or 95% ANI. However, neither HierCC nor ANI were uniformly consistent with classical taxonomy of <i>Streptococcus.</i> HierCC was also consistent with legacy eBGs/ST Complexes in <i>Salmonella</i> or <i>Escherichia</i> and with O serogroups in <i>Salmonella</i>. Thus, EnteroBase HierCC supports the automated identification of and assignment to species/subspecies and populations for multiple genera.This article is part of a discussion meeting issue ‘Genomic population structures of microbial pathogens’.
提供机构:
Achtman, Mark; Baxter, Laura; Zhou, Zhemin; Charlesworth, Jane
创建时间:
2022-07-15



