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21 December 2020

Identification and Classification of Prokaryotes using whole-genome sequences.

Abstract

This book chapter attempts to summarize the major findings from genome-based taxonomic studies in the past two decades, and briefly describe the major genome-based approaches currently available for species identification and classification with special focus on the 'uncultivated majority' and associated limitations, as well as outlines future directions towards a truly genome-based taxonomy for prokaryotes that will equally encompass cultured and uncultivated taxa. Importantly, the need for a system to catalogue uncultivated taxa is very urgent, because the genomes and ecological/functional data that are becoming available are already overwhelming, and alphanumeric identifiers and synonyms are creating confusion of Babylonian dimensions.

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Information & Authors

Information

Published In

Pages: 217 - 230
Editors: Paul Bridge [email protected], David Smith [email protected], CABI Bakeham Lane Egham Surrey TW20 9TY UK , and Erko Stackebrandt [email protected], 38170 Kneitlingen OT Ampleben Germany
ISBN (ePDF): 978-1-78924-499-1
ISBN (ePub): 978-1-78924-500-4
ISBN (Hardback): 978-1-78924-498-4

History

Published online: 21 December 2020
Cover date: 2021

Language

English

Authors

Affiliations

Luis M. Rodriguez-R
School of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USA
Ramon Rosselló-Móra
Grup de Microbiologia Marina Institut Mediterrani d'EstudisAvançats (IMEDEA) Universitat de les Illes Balears (UIB) and Consejo Superior deInvestigaciones Científicas (CSIC) Esporles Illes Balears Spain
Konstantinos T. Konstantinidis [email protected]
School of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USA
School ofBiological Sciences Georgia Institute of Technology Atlanta Georgia USA

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Citing Literature

  • Automating microbial taxonomy workflows with PHANTASM: PHylogenomic ANalyses for the TAxonomy and Systematics of Microbes, Nucleic Acids Research, 10.1093/nar/gkad196, 51, 7, (3067-3077), (2023).

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