Molecular‐ and pollen‐based vegetation analysis in lake sediments from central <scp>S</scp>candinavia

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  • Laura Parducci
    Department of Ecology and Genetics Evolutionary Biology Centre Uppsala University Norbyvägen 18D 75236 Uppsala Sweden
  • Irina Matetovici
    Department of Ecology and Genetics Evolutionary Biology Centre Uppsala University Norbyvägen 18D 75236 Uppsala Sweden
  • Sonia L. Fontana
    Department of Ecology and Genetics Evolutionary Biology Centre Uppsala University Norbyvägen 18D 75236 Uppsala Sweden
  • K. D. Bennett
    School of Geography, Archaeology & Palaeoecology Queen's University Belfast Belfast BT7 1NN UK
  • Yoshihisa Suyama
    Graduate School of Agricultural Science Tohoku University 232‐3 Yomogida Naruko‐onsen Osaki Miyagi 989‐6711 Japan
  • James Haile
    Centre for GeoGenetics Natural History Museum of Denmark University of Copenhagen ØsterVoldgade 5‐7 DK‐1350 Copenhagen Denmark
  • Kurt H. Kjær
    Centre for GeoGenetics Natural History Museum of Denmark University of Copenhagen ØsterVoldgade 5‐7 DK‐1350 Copenhagen Denmark
  • Nicolaj K. Larsen
    Department of Geoscience Aarhus University Høegh Guldbergs Gade 2 DK‐8000 Aarhus Denmark
  • Andreas D. Drouzas
    School of Biology Aristotle University of Thessaloniki P.O. Box: 104 GR‐54124 Thessaloniki Greece
  • Eske Willerslev
    Centre for GeoGenetics Natural History Museum of Denmark University of Copenhagen ØsterVoldgade 5‐7 DK‐1350 Copenhagen Denmark

書誌事項

公開日
2013-04-15
資源種別
journal article
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
  • http://doi.wiley.com/10.1002/tdm_license_1.1
DOI
  • 10.1111/mec.12298
公開者
Wiley

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説明

<jats:title>Abstract</jats:title><jats:p>Plant and animal biodiversity can be studied by obtaining <jats:styled-content style="fixed-case">DNA</jats:styled-content> directly from the environment. This new approach in combination with the use of generic barcoding primers (metabarcoding) has been suggested as complementary or alternative to traditional biodiversity monitoring in ancient soil sediments. However, the extent to which metabarcoding truly reflects plant composition remains unclear, as does its power to identify species with no pollen or macrofossil evidence. Here, we compared pollen‐based and metabarcoding approaches to explore the <jats:styled-content style="fixed-case">H</jats:styled-content>olocene plant composition around two lakes in central <jats:styled-content style="fixed-case">S</jats:styled-content>candinavia. At one site, we also compared barcoding results with those obtained in earlier studies with species‐specific primers. The pollen analyses revealed a larger number of taxa (46), of which the majority (78%) was not identified by metabarcoding. The metabarcoding identified 14 taxa (<jats:styled-content style="fixed-case">MTU</jats:styled-content>s), but allowed identification to a lower taxonomical level. The combined analyses identified 52 taxa. The barcoding primers may favour amplification of certain taxa, as they did not detect taxa previously identified with species‐specific primers. Taphonomy and selectiveness of the primers are likely the major factors influencing these results. We conclude that metabarcoding from lake sediments provides a complementary, but not an alternative, tool to pollen analysis for investigating past flora. In the absence of other fossil evidence, metabarcoding gives a local and important signal from the vegetation, but the resulting assemblages show limited capacity to detect all taxa, regardless of their abundance around the lake. We suggest that metabarcoding is followed by pollen analysis and the use of species‐specific primers to provide the most comprehensive signal from the environment.</jats:p>

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