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Response to nitrogen addition reveals metabolic and ecological strategies of soil bacteria.
Samad, Md Sainur; Johns, Charlotte; Richards, Karl G; Lanigan, Gary J; de Klein, Cecile A M; Clough, Timothy J; Morales, Sergio E.
Afiliação
  • Samad MS; Department of Microbiology and Immunology, Otago School of Medical Sciences, University of Otago, Dunedin, New Zealand.
  • Johns C; Department of Soil and Physical Sciences, Lincoln University, Lincoln, New Zealand.
  • Richards KG; Environmental Research Centre, Teagasc, Wexford, Ireland.
  • Lanigan GJ; Environmental Research Centre, Teagasc, Wexford, Ireland.
  • de Klein CAM; AgResearch Invermay, Mosgiel, New Zealand.
  • Clough TJ; Department of Soil and Physical Sciences, Lincoln University, Lincoln, New Zealand.
  • Morales SE; Department of Microbiology and Immunology, Otago School of Medical Sciences, University of Otago, Dunedin, New Zealand.
Mol Ecol ; 26(20): 5500-5514, 2017 Oct.
Article em En | MEDLINE | ID: mdl-28752622
ABSTRACT
The nitrogen (N) cycle represents one of the most well-studied systems, yet the taxonomic diversity of the organisms that contribute to it is mostly unknown, or linked to poorly characterized microbial groups. While new information has allowed functional groups to be refined, they still rely on a priori knowledge of enzymes involved and the assumption of functional conservation, with little connection to the role the transformations, plays for specific organisms. Here, we use soil microcosms to test the impact of N deposition on prokaryotic communities. By combining chemical, genomic and transcriptomic analysis, we are able to identify and link changes in community structure to specific organisms catalysing given chemical reactions. Urea deposition led to a decrease in prokaryotic richness, and a shift in community composition. This was driven by replacement of stable native populations, which utilize energy from N-linked redox reactions for physiological maintenance, with fast responding populations that use this energy for growth. This model can be used to predict response to N disturbances and allows us to identify putative life strategies of different functional and taxonomic groups, thus providing insights into how they persist in ecosystems by niche differentiation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Microbiologia do Solo / Bactérias / Ciclo do Nitrogênio / Nitrogênio Tipo de estudo: Prognostic_studies País como assunto: Europa Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Microbiologia do Solo / Bactérias / Ciclo do Nitrogênio / Nitrogênio Tipo de estudo: Prognostic_studies País como assunto: Europa Idioma: En Ano de publicação: 2017 Tipo de documento: Article