Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach

Le Roux, Xavier; Bouskill, Nicholas J.; Niboyet, Audrey; Barthes, Laure; Dijkstra, Paul; Field, Chris B.; Hungate, Bruce A.; Lerondelle, Catherine; Pommier, Thomas; Tang, Jinyun; Terada, Akihiko; Tourna, Maria; Poly, Franck

doi:10.3389/fmicb.2016.00628

Title: Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach

Journal Article · Tue May 17 00:00:00 EDT 2016 · Frontiers in Microbiology

DOI:https://doi.org/10.3389/fmicb.2016.00628· OSTI ID:1378980

Le Roux, Xavier ^[1]; Bouskill, Nicholas J. ^[2]; Niboyet, Audrey ^[3]; Barthes, Laure ^[4]; Dijkstra, Paul ^[5]; Field, Chris B. ^[6]; Hungate, Bruce A. ^[5]; Lerondelle, Catherine ^[1]; Pommier, Thomas ^[1]; Tang, Jinyun ^[2]; Terada, Akihiko ^[7]; Tourna, Maria ^[8]; Poly, Franck ^[1]

Univ. of Lyon, Villeurbanne (France)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
Univ. of Paris-Sud, Orsay (France); Univ. Pierre et Marie Curie, Thiverval Grignon (France)
Univ. of Paris-Sud, Orsay (France)
Northern Arizona Univ., Flagstaff, AZ (United States). Ecosystem Science and Society Center
Stanford Univ., CA (United States). Dept. of Global Ecology
Technical Univ. of Denmark, Kongens Lyngby (Denmark); Tokyo Univ. of Agriculture and Technology, Tokyo (Japan)
Univ. of Lyon, Villeurbanne (France); Univ. of Thessaly, Larisa (Greece)

Soil microbial diversity is huge and a few grams of soil contain more bacterial taxa than there are bird species on Earth. This high diversity often makes predicting the responses of soil bacteria to environmental change intractable and restricts our capacity to predict the responses of soil functions to global change. Here, using a long-term field experiment in a California grassland, we studied the main and interactive effects of three global change factors (increased atmospheric CO 2 concentration, precipitation and nitrogen addition, and all their factorial combinations, based on global change scenarios for central California) on the potential activity, abundance and dominant taxa of soil nitrite-oxidizing bacteria (NOB). Using a trait-based model, we then tested whether categorizing NOB into a few functional groups unified by physiological traits enables understanding and predicting how soil NOB respond to global environmental change. Contrasted responses to global change treatments were observed between three main NOB functional types. In particular, putatively mixotrophic Nitrobacter, rare under most treatments, became dominant under the 'High CO 2 +Nitrogen+Precipitation' treatment. The mechanistic trait-based model, which simulated ecological niches of NOB types consistent with previous ecophysiological reports, helped predicting the observed effects of global change on NOB and elucidating the underlying biotic and abiotic controls. Our results are a starting point for representing the overwhelming diversity of soil bacteria by a few functional types that can be incorporated into models of terrestrial ecosystems and biogeochemical processes.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1378980

Journal Information:: Frontiers in Microbiology, Vol. 7, Issue MAY; ISSN 1664-302X

Publisher:: Frontiers Research FoundationCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 46 works

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Title: Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach

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