Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, UK.
Microb Genom. 2024 Sep;10(9). doi: 10.1099/mgen.0.001287.
is among the most extensively studied genera of bacteria but its complex taxonomy remains contested and is suspected to contain significant species-level misclassification. Resolving the classification of would benefit many areas of applied microbiology that rely on an accurate ground truth for grouping of related organisms, including comparative genomics-based searches for novel antimicrobials. We survey taxonomic conflicts between 16S rRNA and whole genome-based classifications using 2276 publicly available genome assemblies and 48 981 publicly available full-length 16S rRNA sequences from silva, Greengenes, Ribosomal Database Project (RDP), and NCBI (National Centre for Biotechnology Information) databases. We construct a full-length 16S gene tree for 14 239 distinct sequences that resolves three major lineages of , but whose topology is not consistent with existing taxonomic assignments. We use these sequence data to delineate 16S and whole genome landscapes for , demonstrating that 16S and whole-genome classifications are frequently in disagreement, and that 16S zero-radius Operational Taxonomic Units (zOTUs) are often inconsistent with Average Nucleotide Identity (ANI)-based taxonomy. Our results strongly imply that 16S rRNA sequence data does not map to taxonomy sufficiently well to delineate species routinely. We propose that alternative marker sequences should be adopted by the community for classification and metabarcoding. Insofar as taxonomy has been determined or supported by 16S sequence data and may in parts be in error, we also propose that reclassification of the genus by alternative approaches may benefit the community.
是研究最多的细菌属之一,但它的复杂分类仍然存在争议,并且被怀疑存在重大的种级分类错误。解决的分类将有益于许多依赖于相关生物准确分组的应用微生物学领域,包括基于比较基因组学的新型抗菌药物搜索。我们使用 2276 个公开可用的基因组组装和来自 Silva、Greengenes、核糖体数据库项目 (RDP) 和 NCBI(美国国家生物技术信息中心)数据库的 48981 个全长 16S rRNA 序列,调查了 16S rRNA 和全基因组分类之间的分类冲突。我们构建了一个完整的 16S 基因树,其中包含 14239 个不同的序列,这些序列可解析为三个主要的分支,但它们的拓扑结构与现有的分类不一致。我们使用这些序列数据为勾勒出 16S 和全基因组景观,表明 16S 和全基因组分类经常不一致,并且 16S 零半径操作分类单元 (zOTU) 通常与基于平均核苷酸同一性 (ANI) 的分类不一致。我们的结果强烈表明,16S rRNA 序列数据不能很好地映射到分类学,无法常规地划分物种。我们建议社区应采用替代标记序列进行分类和代谢组学。由于 16S 序列数据已经确定或支持了分类,并且可能在某些方面存在错误,因此我们还建议通过替代方法对属进行重新分类可能有益于 属社区。
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