2021
DOI: 10.1016/j.tim.2020.10.009
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The Next Million Names for Archaea and Bacteria

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Cited by 52 publications
(43 citation statements)
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“…Another example can be seen in our comparative analysis of LR-chr and HY-chr sequence, which used a subsequent version of GTDB than that used to originally classify the LR-chr sequences, and where both Defluviicoccus (LR-chr) genomes were reclassified as being from the closely related genus Azonexus, despite their previous consistency at genus level with 16S classification (see Supplementary Data 8). More broadly these differences reflect the rapidly changing landscape of microbial taxonomy and systematics, including the need to deal with the increasingly large numbers of draft genomes being obtained from metagenome surveys, the need for more flexible nomenclature systems 80,81 and the ongoing issue of how DNA sequence in general, and whole-genome sequence in particular, can be incorporated into the official procedures of prokaryotic systematics 82 . While we recognise that technical improvements in metagenome quality are only a small part of this landscape, it is worth highlighting that the kind of genomes recovered here would be virtually indistinguishable in quality from those obtained by the analysis of genomic DNA from cultured type material, and furthermore that both metagenome sequence data, and whole-genome sequence derived from them, are stable entities under any reasonable definition.…”
Section: Discussionmentioning
confidence: 99%
“…Another example can be seen in our comparative analysis of LR-chr and HY-chr sequence, which used a subsequent version of GTDB than that used to originally classify the LR-chr sequences, and where both Defluviicoccus (LR-chr) genomes were reclassified as being from the closely related genus Azonexus, despite their previous consistency at genus level with 16S classification (see Supplementary Data 8). More broadly these differences reflect the rapidly changing landscape of microbial taxonomy and systematics, including the need to deal with the increasingly large numbers of draft genomes being obtained from metagenome surveys, the need for more flexible nomenclature systems 80,81 and the ongoing issue of how DNA sequence in general, and whole-genome sequence in particular, can be incorporated into the official procedures of prokaryotic systematics 82 . While we recognise that technical improvements in metagenome quality are only a small part of this landscape, it is worth highlighting that the kind of genomes recovered here would be virtually indistinguishable in quality from those obtained by the analysis of genomic DNA from cultured type material, and furthermore that both metagenome sequence data, and whole-genome sequence derived from them, are stable entities under any reasonable definition.…”
Section: Discussionmentioning
confidence: 99%
“…We identified 12 MAGs that was previously named and/or cultured so the Latin binomial for these MAGs was updated (Supplementary table 7). For the rest of the MAGs, we used the approach described in Pallen et al [21] to provide novel Latin names to 56 MAG clusters. We have provided 12 new genus names and 51 novel species names (Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…Such linguistic intricacies are intimidating to most microbiologists. We have therefore created over a million descriptive names before they are needed, using a computer program GAN that combines well-formed classical stems with relevant meanings (38). The simplest approach was to apply prefixes to existing names, which conserves their linguistic properties while supplying a semantic hint at their phylogeny.…”
Section: Bactoderma Albamentioning
confidence: 99%
“…Nonetheless, over recent decades, we have seen remarkable complexity layered on top of such simplicity in the creation of elaborate and stylized "protologues" (a word not used in the ICNP), stuffed full of long descriptions and arcane linguistic components, such as syllabifications and elaborate etymologies. Falling in line with such a tradition, we incorporated etymologies into our computer program GAN (38), while a subsequent program Protologger went even further in computerising the creation of extensive protologues (40).…”
Section: Minimal Protologuesmentioning
confidence: 99%