Literature DB >> 25487333

Proxy comparison in ancient peat sediments: pollen, macrofossil and plant DNA.

Laura Parducci1, Minna Väliranta2, J Sakari Salonen3, Tiina Ronkainen2, Irina Matetovici4, Sonia L Fontana5, Tiina Eskola6, Pertti Sarala7, Yoshihisa Suyama8.   

Abstract

We compared DNA, pollen and macrofossil data obtained from Weichselian interstadial (age more than 40 kyr) and Holocene (maximum age 8400 cal yr BP) peat sediments from northern Europe and used them to reconstruct contemporary floristic compositions at two sites. The majority of the samples provided plant DNA sequences of good quality with success amplification rates depending on age. DNA and sequencing analysis provided five plant taxa from the older site and nine taxa from the younger site, corresponding to 7% and 15% of the total number of taxa identified by the three proxies together. At both sites, pollen analysis detected the largest (54) and DNA the lowest (10) number of taxa, but five of the DNA taxa were not detected by pollen and macrofossils. The finding of a larger overlap between DNA and pollen than between DNA and macrofossils proxies seems to go against our previous suggestion based on lacustrine sediments that DNA originates principally from plant tissues and less from pollen. At both sites, we also detected Quercus spp. DNA, but few pollen grains were found in the record, and these are normally interpreted as long-distance dispersal. We confirm that in palaeoecological investigations, sedimentary DNA analysis is less comprehensive than classical morphological analysis, but is a complementary and important tool to obtain a more complete picture of past flora.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  Holocene; Weichselian interstadial; ancient DNA; barcoding; plant macrofossils; pollen

Mesh:

Substances:

Year:  2015        PMID: 25487333      PMCID: PMC4275889          DOI: 10.1098/rstb.2013.0382

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


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