1. Multivariate analyses in soil microbial ecology: a new paradigm
- Author
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Jean Thioulouse, Yves Prin, Robin Duponnois, Ecologie quantitative et évolutive des communautés, Département écologie évolutive [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
multivariate data analysis ,Multivariate statistics ,Soil microbial diversity ,Multivariate analysis ,[SDV]Life Sciences [q-bio] ,Biologie du sol ,FLUORESCENT PSEUDOMONADS ,ARBUSCULAR MYCORRHIZAL FUNGI ,Interactions biologiques ,FUNCTIONAL DIVERSITY ,Microbiologie ,Statistics ,couverture du sol ,BGA ,General Environmental Science ,Mathematics ,Mycorhizé ,2. Zero hunger ,0303 health sciences ,ade4 ,04 agricultural and veterinary sciences ,CO-INERTIA ANALYSIS ,Biodiversité ,Micro-organisme du sol ,Statistics, Probability and Uncertainty ,CATABOLIC DIVERSITY ,P33 - Chimie et physique du sol ,Statistics and Probability ,Relation plante sol ,Ecology (disciplines) ,ACACIA-HOLOSERICEA ,Symbiose ,Mycorrhizosphere ,ROCK PHOSPHATE ,Mycorrhizal symbiosis ,Fertilisation ,03 medical and health sciences ,Microbial ecology ,Fertilité du sol ,Descriptive ,Propriété physicochimique du sol ,030304 developmental biology ,Statistical hypothesis testing ,Méthode statistique ,P35 - Fertilité du sol ,Univariate ,Descriptive multivariate data analysis ,COMPONENT ANALYSIS ,P34 - Biologie du sol ,15. Life on land ,Soil quality ,Rhizosphère ,Coinertia analysis ,PLANT-GROWTH ,ECTOMYCORRHIZAL SYMBIOSIS ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Écologie microbienne - Abstract
International audience; Mycorrhizal symbiosis is a key component of a sustainable soil-plant system, governing the cycles of major plant nutrients and vegetation cover. The mycorrhizosphere includes plants roots, the mycorrhizal fungi, and a complex microbial compartment. A large number of methods have been used to characterize the genetic and functional diversity of these soil microbial communities. We present here a review of the multivariate data analysis methods that have been used in 16 research articles published in the 2005-2009 period. "Descriptive" multivariate data analysis methods have been priviledged over classical "predictive" methods and univariate statistical tests. Data sets, multivariate data analysis methods, graphical outputs and interpretation results are presented and explained in details on several examples coming from some of the 16 articles. These multivariate and graphical methods are available in the ade4 package for the R statistical software. The discussion underlines the importance of using appropriate statistical methods to obtain a good description of soil microbiological and biochemical indicators and a good evaluation of soil quality.
- Published
- 2012