Plant sedimentary DNA as a proxy for vegetation reconstruction in eastern and northern Asia

Plant DNA from sediments (sedDNA) are increasingly used to reconstruct the past vegetation composition, which contrasts with the few investigations on the relationship between the plant sedDNA signal and modern vegetation. Here, we applied broad-scale terrestrial plant sedDNA metabarcoding on surfac...

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Bibliographic Details
Main Authors: Herzschuh, U. (Author), Jia, W. (Author), Li, K. (Author), Liao, M. (Author), Liu, S. (Author), Liu, X. (Author), Ni, J. (Author), Stoof-Leichsenring, K.R (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
DNA
Online Access:View Fulltext in Publisher
LEADER 02778nam a2200517Ia 4500
001 10.1016-j.ecolind.2021.108303
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Plant sedimentary DNA as a proxy for vegetation reconstruction in eastern and northern Asia 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.108303 
520 3 |a Plant DNA from sediments (sedDNA) are increasingly used to reconstruct the past vegetation composition, which contrasts with the few investigations on the relationship between the plant sedDNA signal and modern vegetation. Here, we applied broad-scale terrestrial plant sedDNA metabarcoding on surface sediments from 201 lakes in eastern and northern Asia to discuss the applicability as well as the limitations of using plant sedDNA metabarcoding for palaeovegetation studies. In total, 381 terrestrial plant taxa were determined with the universal plant primers of trnL g and h. Overall, plant sedDNA approach is able to retrieve major vegetation signals. The composition of plant sedDNA reflect well the vegetation types and related climate characteristics, and it also signals which are the dominant taxa in the vegetation. Our results indicate that plant sedDNA metabarcoding could be a reliable proxy of vegetation composition at a sub-continental scale and along large environmental gradients. But certain drawbacks such as limited taxonomic resolution, biases in the relative abundance of taxa, and a generally high variability of samples from similar vegetation types need to be solved before it can be widely applied to reconstruct palaeofloras. © 2021 
650 0 4 |a Asia 
650 0 4 |a clastic sediment 
650 0 4 |a DNA 
650 0 4 |a DNA 
650 0 4 |a DNA signals 
650 0 4 |a environmental gradient 
650 0 4 |a Metabarcoding 
650 0 4 |a Metabarcoding 
650 0 4 |a Plant sedimentary DNA 
650 0 4 |a Plant sedimentary DNA (sedDNA) 
650 0 4 |a sedimentary feature 
650 0 4 |a Sedimentology 
650 0 4 |a Siberia 
650 0 4 |a SIBERIA 
650 0 4 |a Terrestrial plants 
650 0 4 |a Tibetan Plateau 
650 0 4 |a Tibetan Plateau 
650 0 4 |a Trnl p6 loop 
650 0 4 |a TrnL P6 loop 
650 0 4 |a Vegetation 
650 0 4 |a Vegetation composition 
650 0 4 |a vegetation dynamics 
650 0 4 |a Vegetation reconstruction 
650 0 4 |a Vegetation reconstruction 
650 0 4 |a Vegetation type 
700 1 |a Herzschuh, U.  |e author 
700 1 |a Jia, W.  |e author 
700 1 |a Li, K.  |e author 
700 1 |a Liao, M.  |e author 
700 1 |a Liu, S.  |e author 
700 1 |a Liu, X.  |e author 
700 1 |a Ni, J.  |e author 
700 1 |a Stoof-Leichsenring, K.R.  |e author 
773 |t Ecological Indicators