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Thousands of new bacterial and archaeal species and higher-level taxa are discovered each year through the analysis of genomes and metagenomes. The Genome Taxonomy Database (GTDB) provides hierarchical sequence-based descriptions and classifications for new and as-yet-unnamed taxa. However, bacterial nomenclature, as currently configured, cannot keep up with the need for new well-formed names. Instead, microbiologists have been forced to use hard-to-remember alphanumeric placeholder labels. Here, we exploit an approach to the generation of well-formed arbitrary Latinate names at a scale sufficient to name tens of thousands of unnamed taxa within GTDB. These newly created names represent an important resource for the microbiology community, facilitating communication between bioinformaticians, microbiologists and taxonomists, while populating the emerging landscape of microbial taxonomic and functional discovery with accessible and memorable linguistic labels.

More information Original publication

DOI

10.1099/ijsem.0.005482

Type

Journal article

Publication Date

2022-09-01T00:00:00+00:00

Volume

72

Addresses

N, o, r, w, i, c, h, , M, e, d, i, c, a, l, , S, c, h, o, o, l, ,, , U, n, i, v, e, r, s, i, t, y, , o, f, , E, a, s, t, , A, n, g, l, i, a, ,, , N, o, r, w, i, c, h, , R, e, s, e, a, r, c, h, , P, a, r, k, ,, , N, o, r, w, i, c, h, ,, , N, o, r, f, o, l, k, ,, , U, K, .

Keywords

Bacteria, Archaea, Fatty Acids, DNA, Bacterial, RNA, Ribosomal, 16S, Bacterial Typing Techniques, Sequence Analysis, DNA, Phylogeny, Base Composition