title: Soil-borne microbiome: linking diversity to function.
abstract: Soil microorganisms are sensitive to environment disturbances, and such alterations have consequences on microbial diversity and functions. Our hypothesis is that alpha diversity of microbial communities and functional diversity decrease from undisturbed to disturbed soils, with consequences for functional redundancy in the soil ecosystem. To test this hypothesis, we used soil DNA shotgun metagenomics approach to assess the soil microbiome in a chronosequence of land-use from a native tropical forest, followed by deforestation and cultivation of soybean croplands and pasture in different seasons. Agriculture and pasture soils were among the most diverse and presented higher functional redundancy, which is important to maintain the ecosystem functioning after the forest conversion. On the other hand, the ecosystem equilibrium in forest is maintained based on a lower alpha diversity but higher abundance of microorganisms. Our results indicate that land-use change alters the structure and composition of microbial communities; however, ecosystem functionality is overcome by different strategies based on the abundance and diversity of the communities.
authors.affiliation: Cell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, CENA, University of Sao Paulo USP, Piracicaba, SP, Brazil.
authors.forename: Lucas W
authors.initials: LW
authors.lastname: Mendes
authors.forename: Siu M
authors.initials: SM
authors.lastname: Tsai
authors.forename: Acácio A
authors.initials: AA
authors.lastname: Navarrete
authors.forename: Mattias
authors.initials: M
authors.lastname: de Hollander
authors.forename: Johannes A
authors.initials: JA
authors.lastname: van Veen
authors.forename: Eiko E
authors.initials: EE
authors.lastname: Kuramae
mesh_terms: D000383:Agriculture / Q000379:methods*; D001483:Base Sequence; D001938:Brazil; D003247:Conservation of Natural Resources / Q000379:methods; D065928:Forests; D014644:Genetic Variation / Q000502:physiology*; D056186:Metagenomics / Q000379:methods*; D064307:Microbiota / Q000235:genetics* / Q000502:physiology; D008962:Models, Theoretical; D008969:Molecular Sequence Data; D017422:Sequence Analysis, DNA; D012988:Soil Microbiology; D013025:Glycine max / Q000254:growth & development*; D013997:Time Factors; D014329:Tropical Climate