Literature DB >> 18497288

Microbial biogeography: from taxonomy to traits.

Jessica L Green1, Brendan J M Bohannan, Rachel J Whitaker.   

Abstract

The biogeographic variation of life has predominantly been studied using taxonomy, but this focus is changing. There is a resurging interest in understanding patterns in the distribution not only of taxa but also of the traits those taxa possess. Patterns of trait variation shed light on fundamental questions in biology, including why organisms live where they do and how they will respond to environmental change. Technological advances such as environmental genomics place microbial ecology in a unique position to move trait-based biogeography forward. We anticipate that as trait-based biogeography continues to evolve, micro- and macroorganisms will be studied in concert, establishing a science that is informed by and relevant to all domains of life.

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Year:  2008        PMID: 18497288     DOI: 10.1126/science.1153475

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  160 in total

1.  Assembling an ant community: species functional traits reflect environmental filtering.

Authors:  Philipp T Wiescher; Jessica M C Pearce-Duvet; Donald H Feener
Journal:  Oecologia       Date:  2012-08       Impact factor: 3.225

2.  Phylogeography of microbial phototrophs in the dry valleys of the high Himalayas and Antarctica.

Authors:  S K Schmidt; R C Lynch; A J King; D Karki; M S Robeson; L Nagy; M W Williams; M S Mitter; K R Freeman
Journal:  Proc Biol Sci       Date:  2010-09-08       Impact factor: 5.349

3.  Determinants of the distribution of nitrogen-cycling microbial communities at the landscape scale.

Authors:  D Bru; A Ramette; N P A Saby; S Dequiedt; L Ranjard; C Jolivet; D Arrouays; L Philippot
Journal:  ISME J       Date:  2010-08-12       Impact factor: 10.302

4.  Soil resources influence spatial patterns of denitrifying communities at scales compatible with land management.

Authors:  Karin Enwall; Ingela N Throbäck; Maria Stenberg; Mats Söderström; Sara Hallin
Journal:  Appl Environ Microbiol       Date:  2010-01-29       Impact factor: 4.792

5.  Placing the effects of leaf litter diversity on saprotrophic microorganisms in the context of leaf type and habitat.

Authors:  Lan Wu; Larry M Feinstein; Oscar Valverde-Barrantes; Mark W Kershner; Laura G Leff; Christopher B Blackwood
Journal:  Microb Ecol       Date:  2010-10-23       Impact factor: 4.552

6.  Biogeography and habitat modelling of high-alpine bacteria.

Authors:  Andrew J King; Kristen R Freeman; Katherine F McCormick; Ryan C Lynch; Catherine Lozupone; Rob Knight; Steven K Schmidt
Journal:  Nat Commun       Date:  2010-08-10       Impact factor: 14.919

7.  Predicting microbial traits with phylogenies.

Authors:  Marta Goberna; Miguel Verdú
Journal:  ISME J       Date:  2015-09-15       Impact factor: 10.302

8.  EcoFABs: advancing microbiome science through standardized fabricated ecosystems.

Authors:  Karsten Zengler; Kirsten Hofmockel; Nitin S Baliga; Scott W Behie; Hans C Bernstein; James B Brown; José R Dinneny; Sheri A Floge; Samuel P Forry; Matthias Hess; Scott A Jackson; Christer Jansson; Stephen R Lindemann; Jennifer Pett-Ridge; Costas Maranas; Ophelia S Venturelli; Matthew D Wallenstein; Elizabeth A Shank; Trent R Northen
Journal:  Nat Methods       Date:  2019-07       Impact factor: 28.547

9.  The chemodiversity of wines can reveal a metabologeography expression of cooperage oak wood.

Authors:  Régis D Gougeon; Marianna Lucio; Moritz Frommberger; Dominique Peyron; David Chassagne; Hervé Alexandre; François Feuillat; Andrée Voilley; Philippe Cayot; Istvan Gebefügi; Norbert Hertkorn; Philippe Schmitt-Kopplin
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-26       Impact factor: 11.205

10.  Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale.

Authors:  Christian L Lauber; Micah Hamady; Rob Knight; Noah Fierer
Journal:  Appl Environ Microbiol       Date:  2009-06-05       Impact factor: 4.792

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