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

Abstract

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 themore » 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.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [5];  [1];  [1];  [2];  [7];  [8];  [1]
  1. Univ. of Lyon, Villeurbanne (France)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
  3. Univ. of Paris-Sud, Orsay (France); Univ. Pierre et Marie Curie, Thiverval Grignon (France)
  4. Univ. of Paris-Sud, Orsay (France)
  5. Northern Arizona Univ., Flagstaff, AZ (United States). Ecosystem Science and Society Center
  6. Stanford Univ., CA (United States). Dept. of Global Ecology
  7. Technical Univ. of Denmark, Kongens Lyngby (Denmark); Tokyo Univ. of Agriculture and Technology, Tokyo (Japan)
  8. Univ. of Lyon, Villeurbanne (France); Univ. of Thessaly, Larisa (Greece)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1378980
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Microbiology
Additional Journal Information:
Journal Volume: 7; Journal Issue: MAY; Journal ID: ISSN 1664-302X
Publisher:
Frontiers Research Foundation
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 54 ENVIRONMENTAL SCIENCES; bacterial functional traits; elevated CO2; nitrifiers; nitrogen fertilisation; trait-based modeling

Citation Formats

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, and Poly, Franck. Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach. United States: N. p., 2016. Web. doi:10.3389/fmicb.2016.00628.
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. Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach. United States. https://doi.org/10.3389/fmicb.2016.00628
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, and Poly, Franck. Tue . "Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach". United States. https://doi.org/10.3389/fmicb.2016.00628. https://www.osti.gov/servlets/purl/1378980.
@article{osti_1378980,
title = {Predicting the Responses of Soil Nitrite-Oxidizers to Multi-Factorial Global Change: A Trait-Based Approach},
author = {Le Roux, Xavier and Bouskill, Nicholas J. and Niboyet, Audrey and Barthes, Laure and Dijkstra, Paul and Field, Chris B. and Hungate, Bruce A. and Lerondelle, Catherine and Pommier, Thomas and Tang, Jinyun and Terada, Akihiko and Tourna, Maria and Poly, Franck},
abstractNote = {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.},
doi = {10.3389/fmicb.2016.00628},
journal = {Frontiers in Microbiology},
number = MAY,
volume = 7,
place = {United States},
year = {Tue May 17 00:00:00 EDT 2016},
month = {Tue May 17 00:00:00 EDT 2016}
}

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Marine microorganisms and global nutrient cycles
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The emergence and promise of functional biogeography
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Nitrite concentration influences the population structure of Nitrospira-like bacteria
journal, August 2006


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journal, September 2007


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journal, May 2013

  • Lavorel, Sandra; Storkey, Jonathan; Bardgett, Richard D.
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journal, May 2008


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Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model
journal, April 2014


GRASSLAND RESPONSES TO THREE YEARS OF ELEVATED TEMPERATURE, CO 2 , PRECIPITATION, AND N DEPOSITION
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journal, January 2001

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Trait-Based Representation of Biological Nitrification: Model Development, Testing, and Predicted Community Composition
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  • Bouskill, Nicholas J.; Tang, Jinyun; Riley, William J.
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Works referencing / citing this record:

Toxicity of TiO 2 nanoparticles on soil nitrification at environmentally relevant concentrations: Lack of classical dose–response relationships
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Biological inhibition of soil nitrification by forest tree species affects Nitrobacter populations
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Evidence for Microbial Mediated NO3− Cycling Within Floodplain Sediments During Groundwater Fluctuations
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Nutrient and Rainfall Additions Shift Phylogenetically Estimated Traits of Soil Microbial Communities
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Controls and Adaptive Management of Nitrification in Agricultural Soils
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SUPECA kinetics for scaling redox reactions in networks of mixed substrates and consumers and an example application to aerobic soil respiration
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Adaptation of soil nitrifiers to very low nitrogen level jeopardizes the efficiency of chemical fertilization in west african moist savannas
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Controls and Adaptive Management of Nitrification in Agricultural Soils
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