Ribosomal MLST nucleotide identity (rMLST-NI), a rapid bacterial species identification method: application to

Autor: James E, Bray, Annapaula, Correia, Margaret, Varga, Keith A, Jolley, Martin C J, Maiden, Charlene M C, Rodrigues
Rok vydání: 2022
Předmět:
Zdroj: Microbial genomics. 8(9)
ISSN: 2057-5858
Popis: Bacterial genomics is making an increasing contribution to the fields of medicine and public health microbiology. Consequently, accurate species identification of bacterial genomes is an important task, particularly as the number of genomes stored in online databases increases rapidly and new species are frequently discovered. Existing database entries require regular re-evaluation to ensure that species annotations are consistent with the latest species definitions. We have developed an automated method for bacterial species identification that is an extension of ribosomal multilocus sequence typing (rMLST). The method calculates an 'rMLST nucleotide identity' (rMLST-NI) based on the nucleotides present in the protein-encoding ribosomal genes derived from bacterial genomes. rMLST-NI was used to validate the species annotations of 11839 publicly available
Databáze: OpenAIRE