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Cited by 579

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes

Open access
Riesco, Raúl, Trujillo, Martha E.·2024·International Journal of Systematic and Evolutionary Microbiology

Abstract

The field of microbial taxonomy is dynamic, aiming to provide a stable and contemporary classification system for prokaryotes. Traditionally, reliance on phenotypic characteristics limited the comprehensive understanding of microbial diversity and evolution. The introduction of molecular techniques, particularly DNA sequencing and genomics, has transformed our perception of prokaryotic diversity. In the past two decades, advancements in genome sequencing have transitioned from traditional methods to a genome-based taxonomic framework, not only to define species, but also higher taxonomic ranks. As technology and databases rapidly expand, maintaining updated standards is crucial. This work seeks to revise the 2018 guidelines for applying genome sequencing data in microbial taxonomy, adapting minimal standards and recommendations to reflect technological progress during this period.

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Crossref · 10.1099/ijsem.0.006300

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Metadata

Authors
Riesco, R., & Trujillo, M. E.
Venue
International Journal of Systematic and Evolutionary Microbiology
Published
2024-03-21
Volume
74
Issue
3
ISSN
  • 1466-5026 (ISSN-L)
  • 1466-5034
OpenAlex
W4393035934
Cited by
579
References
77
FWCI
67.16
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. https://app.cochat.ai/papers/10.1099/ijsem.0.006300
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Riesco, R., & Trujillo, M. E. (2024). Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. International Journal of Systematic and Evolutionary Microbiology. https://doi.org/10.1099/ijsem.0.006300

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.