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Endemic and cosmopolitan fungal taxa exhibit differential abundances in total and active communities of Antarctic soils

Cox, Filipa; Newsham, Kevin K. ORCID: https://orcid.org/0000-0002-9108-0936; Robinson, Clare H.. 2019 Endemic and cosmopolitan fungal taxa exhibit differential abundances in total and active communities of Antarctic soils. Environmental Microbiology, 21 (5). 1586-1596. 10.1111/1462-2920.14533

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© 2019 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Abstract/Summary

Our understanding of the diversity and community dynamics of soil fungi has increased greatly through the use of DNA‐based identification. Community characterisation of metabolically active communities via RNA sequencing has previously revealed differences between ‘active’ and ‘total’ fungal communities, which may be influenced by the persistence of DNA from non‐active components. However, it is not known how fungal traits influence their prevalence in these contrasting community profiles. In this study, we co‐extracted DNA and RNA from soil collected from three Antarctic islands to test for differences between total and active soil fungal communities. By matching these geographically isolated fungi against a global dataset of soil fungi, we show that widely dispersed taxa are often more abundant in the total community, whilst taxa restricted to Antarctica are more likely to have higher abundance in the active community. In addition, we find that active communities have lower richness, and show a reduction in the abundance of the most dominant fungi, whilst there are consistent differences in the abundances of certain taxonomic groups between the total and active communities. These results suggest that the views of soil fungal communities offered by DNA‐ and RNA‐based characterisation differ in predictable ways.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1111/1462-2920.14533
ISSN: 1462-2912
Date made live: 22 Jan 2019 15:13 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/518091

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