Using next-generation sequencing for molecular reconstruction of past Arctic vegetation and climate

Palaeoenvironments and former climates are typically inferred from pollen and macrofossil records. This approach is time-consuming and suffers from low taxonomic resolution and biased taxon sampling. Here, we test an alternative DNA-based approach utilizing the P6 loop in the chloroplast trnL (UAA)...

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Bibliographic Details
Published in:Molecular Ecology Resources
Main Authors: Sønstebø, J. H., Gielly, L., Brysting, A. K., Elven, R., Edwards, M., Haile, James Seymour, Willerslev, Eske, Coissac, E., Rioux, D., Sannier, J., Taberlet, P., Brochmann, C.
Format: Article in Journal/Newspaper
Language:English
Published: 2010
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Online Access:https://curis.ku.dk/portal/da/publications/using-nextgeneration-sequencing-for-molecular-reconstruction-of-past-arctic-vegetation-and-climate(3d905a8c-df7c-44a3-9f7a-7f70e3fcd6d3).html
https://doi.org/10.1111/j.1755-0998.2010.02855.x
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Summary:Palaeoenvironments and former climates are typically inferred from pollen and macrofossil records. This approach is time-consuming and suffers from low taxonomic resolution and biased taxon sampling. Here, we test an alternative DNA-based approach utilizing the P6 loop in the chloroplast trnL (UAA) intron; a short (13-158 bp) and variable region with highly conserved flanking sequences. For taxonomic reference, a whole trnL intron sequence database was constructed from recently collected material of 842 species, representing all widespread and/or ecologically important taxa of the species-poor arctic flora. The P6 loop alone allowed identification of all families, most genera (>75%) and one-third of the species, thus providing much higher taxonomic resolution than pollen records. The suitability of the P6 loop for analysis of samples containing degraded ancient DNA from a mixture of species is demonstrated by high-throughput parallel pyrosequencing of permafrost-preserved DNA and reconstruction of two plant communities from the last glacial period. Our approach opens new possibilities for DNA-based assessment of ancient as well as modern biodiversity of many groups of organisms using environmental samples.