Distribution of High Bacterial Taxa Across the Chronosequence of Two Alpine Glacier Forelands View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-02

AUTHORS

Laurent Philippot, Dagmar Tscherko, David Bru, Ellen Kandeler

ABSTRACT

Little is known about the changes in abundance of microbial taxa in relation to the chronosequence of receding glaciers. This study investigated how the abundances of ten bacterial phyla or classes varied along successional gradients in two glaciers, Ödenwinkelkees and Rotmoosferner, in the central Alps. Quantitative PCR was used to estimate the abundance of the different bacterial taxa in extended glacier chronosequences, including 10- to 160-year-old successional stages, the surface of the glacier, and a fully established soil. Actinobacteria (15-30%) was the dominant group within the chronosequences. Several taxa showed significant differences in the number of taxa-specific 16S rRNA gene copies per nanogram of DNA and/or in the ratio of taxa-specific to the total bacterial 16S rRNA gene copies (i.e., the relative abundance of the different taxa within the bacterial community) between the established soils or the glacier surface and the 10- to 160-year-old successional stages. A significantly higher proportion of Βetaproteobacteria (20%) was observed on the surface of both glaciers. However, no differences were observed between the 10- to 160-year-old successional stages in the number of taxa-specific 16S rRNA gene copies per nanogram of DNA or in the ratio of taxa-specific to the total bacterial 16S rRNA gene copies for the different taxa. Nevertheless, when the relative abundance data from all the studied taxa were combined and analyzed altogether, most of the sites could be distinguished from one other. This indicates that the overall composition of the bacterial community was more affected than the abundance of the targeted taxa by changes in environmental conditions along the chronosequences. More... »

PAGES

303-312

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00248-010-9754-y

    DOI

    http://dx.doi.org/10.1007/s00248-010-9754-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1017181715

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20936406


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