Literature DB >> 26443332

Contrasting microbial biogeographical patterns between anthropogenic subalpine grasslands and natural alpine grasslands.

Roberto A Geremia1,2, Mihai Pușcaș3, Lucie Zinger1,2,4, Jean-Marc Bonneville1,2, Philippe Choler1,2.   

Abstract

The effect of plant species composition on soil microbial communities was studied at the multiregional level. We compared the soil microbial communities of alpine natural grasslands dominated by Carex curvula and anthropogenic subalpine pastures dominated by Nardus stricta. We conducted paired sampling across the Carpathians and the Alps and used Illumina sequencing to reveal the molecular diversity of soil microbes. We found that bacterial and fungal communities exhibited contrasting regional distributions and that the distribution in each grassland is well discriminated. Beta diversity of microbial communities was much higher in C. curvula grasslands due to a marked regional effect. The composition of grassland-type core microbiomes suggest that C. curvula, and N. stricta to a lesser extent, tend to select a cohort of microbes related to antibiosis/exclusion, pathogenesis and endophytism. We discuss these findings in light of the postglacial history of the studied grasslands, the habitat connectivity and the disturbance regimes. Human-induced disturbance in the subalpine belt of European mountains has led to homogeneous soil microbial communities at large biogeographical scales. Our results confirm the overarching role of the dominant grassland plant species in the distribution of microbial communities and highlight the relevance of biogeographical history.
© 2015 European Union. New Phytologist © 2015 New Phytologist Trust.

Entities:  

Keywords:  alpine ecosystems; bacterial and fungal soil diversity; biotrophic fungi; core community; keystone species; microbial biogeography; mountain grasslands

Mesh:

Substances:

Year:  2015        PMID: 26443332     DOI: 10.1111/nph.13690

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


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