A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-12

AUTHORS

Dongying Wu, Philip Hugenholtz, Konstantinos Mavromatis, Rüdiger Pukall, Eileen Dalin, Natalia N. Ivanova, Victor Kunin, Lynne Goodwin, Martin Wu, Brian J. Tindall, Sean D. Hooper, Amrita Pati, Athanasios Lykidis, Stefan Spring, Iain J. Anderson, Patrik D’haeseleer, Adam Zemla, Mitchell Singer, Alla Lapidus, Matt Nolan, Alex Copeland, Cliff Han, Feng Chen, Jan-Fang Cheng, Susan Lucas, Cheryl Kerfeld, Elke Lang, Sabine Gronow, Patrick Chain, David Bruce, Edward M. Rubin, Nikos C. Kyrpides, Hans-Peter Klenk, Jonathan A. Eisen

ABSTRACT

Sequencing of bacterial and archaeal genomes has revolutionized our understanding of the many roles played by microorganisms. There are now nearly 1,000 completed bacterial and archaeal genomes available, most of which were chosen for sequencing on the basis of their physiology. As a result, the perspective provided by the currently available genomes is limited by a highly biased phylogenetic distribution. To explore the value added by choosing microbial genomes for sequencing on the basis of their evolutionary relationships, we have sequenced and analysed the genomes of 56 culturable species of Bacteria and Archaea selected to maximize phylogenetic coverage. Analysis of these genomes demonstrated pronounced benefits (compared to an equivalent set of genomes randomly selected from the existing database) in diverse areas including the reconstruction of phylogenetic history, the discovery of new protein families and biological properties, and the prediction of functions for known genes from other organisms. Our results strongly support the need for systematic 'phylogenomic' efforts to compile a phylogeny-driven 'Genomic Encyclopedia of Bacteria and Archaea' in order to derive maximum knowledge from existing microbial genome data as well as from genome sequences to come. More... »

PAGES

1056

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature08656

DOI

http://dx.doi.org/10.1038/nature08656

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013886837

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20033048


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