TY - JOUR
T1 - Naming the unnamed: over 65,000 Candidatus names for unnamed Archaea and Bacteria in the Genome Taxonomy Database
AU - Pallen, Mark J.
AU - Rodriguez-R, Luis M.
AU - Alikhan, Nabil-Fareed
N1 - A corrigendum is published for this article: https://doi.org/10.1099/ijsem.0.005885.
Author Notes: Three supplementary files are available with the online version of this article.
In the published version of the article there was an error in the Python scripts used to generate the protologues presented as supplementary material in the paper, which meant that names for the rank of class were not included. Attached to this corrigendum are three files complementing the supplementary material items 3, 4 and 5 with protologues for newly named classes. Updated scripts and outputs have been uploaded to the relevant GitHub and Zenodo repositories.
The authors apologise for any inconvenience caused.
PY - 2022/9/20
Y1 - 2022/9/20
N2 - 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.
AB - 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.
U2 - 10.1099/ijsem.0.005482
DO - 10.1099/ijsem.0.005482
M3 - Article
VL - 72
JO - International Journal of Systematic and Evolutionary Microbiology
JF - International Journal of Systematic and Evolutionary Microbiology
SN - 1466-5026
IS - 9
M1 - 005482
ER -