Deforestation impacts network co-occurrence patterns of microbial communities in Amazon soils

Khan, M. A. Wadud; Bohannan, Brendan J. M.; Nüsslein, Klaus; Tiedje, James M.; Tringe, Susannah G.; Parlade, Eloi; Barberán, Albert; Rodrigues, Jorge L. M.

doi:10.1093/femsec/fiy230

Title: Deforestation impacts network co-occurrence patterns of microbial communities in Amazon soils

Journal Article · 27 November 2018 · FEMS Microbiology Ecology (Online)

DOI: https://doi.org/10.1093/femsec/fiy230 · OSTI ID:1487088

Khan, M. A. Wadud ^[1]; Bohannan, Brendan J. M. ^[2]; Nüsslein, Klaus ^[3]; Tiedje, James M. ^[4]; Tringe, Susannah G. ^[5]; Parlade, Eloi ^[6]; Barberán, Albert ^[7];

^[8]

Univ. of Texas, Arlington, TX (United States). Dept. of Biology
Univ. of Oregon, Eugene, OR (United States). Inst. of Ecology and Evolution
Univ. of Massachusetts, Amherst, MA (United States). Dept. of Microbiology
Michigan State Univ., East Lansing, MI (United States). Center for Microbial Ecology
USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Genomics and Systems Biology Division
Univ. of California, Davis, CA (United States). Dept. of Land, Air and Water Resources
Univ. of Arizona, Tucson, AZ (United States). Dept. of Soil,Water and Environmental Science
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Genomics and Systems Biology Division; Univ. of California, Davis, CA (United States). Dept. of Land, Air and Water Resources

Co-occurrence networks allow for the identification of potential associations among species, which may be important for understanding community assembly and ecosystem functions. We employed this strategy to examine prokaryotic co-occurrence patterns in the Amazon soils and the response of these patterns to land use change to pasture, with the hypothesis that altered microbial composition due to deforestation will mirror the co-occurrence patterns across prokaryotic taxa. In this study, we calculated Spearman correlations between operational taxonomic units (OTUs) as determined by 16S rRNA gene sequencing, and only robust correlations were considered for network construction (-0.80 ≥ ρ ≥ 0.80, adjusted P <0.01). The constructed network represents distinct forest and pasture components, with altered compositional and topological features. A comparative analysis between two representative modules of these contrasting ecosystems revealed novel information regarding changes to metabolic pathways related to nitrogen cycling. Our results showed that soil physicochemical properties such as temperature, C/N and H⁺+Al³⁺ had a significant impact on prokaryotic communities, with alterations to network topologies. Taken together, changes in co-occurrence patterns and physicochemical properties may contribute to ecosystem processes including nitrification and denitrification, two important biogeochemical processes occurring in tropical forest systems.

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

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23), Biological Systems Science Division (SC-23.2 )

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1487088

Journal Information:: FEMS Microbiology Ecology (Online), Journal Name: FEMS Microbiology Ecology (Online) Journal Issue: 2 Vol. 95; ISSN 1574-6941

Publisher:: Federation of European Microbiological SocietiesCopyright Statement

Country of Publication:: United States

Language:: English

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