16S rRNA phylogeny and clustering is not a reliable proxy for genome-based taxonomy in Streptomyces
Kiepas, Angelika B. and Hoskisson, Paul A. and Pritchard, Leighton (2024) 16S rRNA phylogeny and clustering is not a reliable proxy for genome-based taxonomy in Streptomyces. Microbial Genomics, 10 (9). 001287. ISSN 2057-5858 (https://doi.org/10.1099/mgen.0.001287)
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Abstract
Streptomyces 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 Streptomyces 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 Streptomyces classifications using 2276 publicly available Streptomyces genome assemblies and 48 981 publicly available full-length 16S rRNA Streptomyces 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 Streptomyces sequences that resolves three major lineages of Streptomyces, but whose topology is not consistent with existing taxonomic assignments. We use these sequence data to delineate 16S and whole genome landscapes for Streptomyces, 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 Streptomyces species routinely. We propose that alternative marker sequences should be adopted by the community for classification and metabarcoding. Insofar as Streptomyces 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 Streptomyces community.
ORCID iDs
Kiepas, Angelika B.


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Item type: Article ID code: 92776 Dates: DateEvent10 September 2024Published12 August 2024Accepted26 April 2024SubmittedSubjects: Science > Microbiology Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences Depositing user: Pure Administrator Date deposited: 08 May 2025 10:53 Last modified: 08 May 2025 10:53 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/92776