A synthesis of bacterial and archaeal phenotypic trait data
Artikel i vetenskaplig tidskrift, 2020

A synthesis of phenotypic and quantitative genomic traits is provided for bacteria and archaea, in the form of a scripted, reproducible workflow that standardizes and merges 26 sources. The resulting unified dataset covers 14 phenotypic traits, 5 quantitative genomic traits, and 4 environmental characteristics for approximately 170,000 strain-level and 15,000 species-aggregated records. It spans all habitats including soils, marine and fresh waters and sediments, host-associated and thermal. Trait data can find use in clarifying major dimensions of ecological strategy variation across species. They can also be used in conjunction with species and abundance sampling to characterize trait mixtures in communities and responses of traits along environmental gradients.


Joshua S. Madin

Hawaiʻi Institute of Marine Biology

Daniel A. Nielsen

Macquarie University

Maria Brbic

Ruder Boskovic Institute

Stanford University

Ross Corkrey

University of Tasmania

David Danko

Weill Cornell Medical College

Kyle Edwards

University of Hawaii

Martin Engqvist

Chalmers, Biologi och bioteknik, Systembiologi

Noah Fierer

University of Colorado at Boulder

Jemma L. Geoghegan

Macquarie University

Michael R. Gillings

Macquarie University

Nikos C. Kyrpides

DOE Joint Genome Institute

Lawrence Berkeley National Laboratory

Elena Litchman

Michigan State University

Christopher E. Mason

Weill Cornell Medical College

Lisa Moore

Macquarie University

Søren L. Nielsen

Roskilde Universitet (RUC)

Ian T. Paulsen

Macquarie University

Nathan D. Price

Institute for Systems Biology

T. B.K. Reddy

Lawrence Berkeley National Laboratory

DOE Joint Genome Institute

Matthew A. Richards

Institute for Systems Biology

Eduardo P.C. Rocha

Centre national de la recherche scientifique (CNRS)

Thomas M. Schmidt

University of Michigan

Heba Shaaban

Weill Cornell Medical College

Maulik Shukla

Argonne National Laboratory

Fran Supek

Institucio Catalana de Recerca i Estudis Avancats

IRB Barcelona - Institute for Research in Biomedicine

Sasha G. Tetu

Macquarie University

Sara Vieira-Silva

KU Leuven

Alice R. Wattam

University of Virginia

David A. Westfall

Weill Cornell Medical College

Mark Westoby

Macquarie University

Scientific data

2052-4463 (eISSN)

Vol. 7 1 170









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