The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation

Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation
Metabarcoding of lake sediments have been shown to reveal current and past biodiversity, but little is known about the degree to which taxa growing in the vegetation are represented in environmental DNA (eDNA) records. We analysed composition of lake and catchment vegetation and vascular plant eDNA at 11 lakes in northern Norway. Out of 489 records of taxa growing within 2 m from the lake shore, 17-49% (mean 31%) of the identifiable taxa recorded were detected with eDNA. Of the 217 eDNA records of 47 plant taxa in the 11 lakes, 73% and 12% matched taxa recorded in vegetation surveys within 2 m and up to about 50 m away from the lakeshore, respectively, whereas 16% were not recorded in the vegetation surveys of the same lake. The latter include taxa likely overlooked in the vegetation surveys or growing outside the survey area. The percentages detected were 61, 47, 25, and 15 for dominant, common, scattered, and rare taxa, respectively. Similar numbers for aquatic plants were 88, 88, 33 and 62%, respectively. Detection rate and taxonomic resolution varied among plant families and functional groups with good detection of e.g. Ericaceae, Roseaceae, deciduous trees, ferns, club mosses and aquatics. The representation of terrestrial taxa in eDNA depends on both their distance from the sampling site and their abundance and is sufficient for recording vegetation types. For aquatic vegetation, eDNA may be comparable with, or even superior to, in-lake vegetation surveys and may therefore be used as an tool for biomonitoring. For reconstruction of terrestrial vegetation, technical improvements and more intensive sampling is needed to detect a higher proportion of rare taxa although DNA of some taxa may never reach the lake sediments due to taphonomical constrains. Nevertheless, eDNA performs similar to conventional methods of pollen and macrofossil analyses and may therefore be an important tool for reconstruction of past vegetation.
Holocene, Norway, ancient DNA, environmental DNA, biodiversity, Troms, vascular plants, biomonitoring, palaeobiology, palaeobotany, Finnmark
Dryad Digital Repository
Alsos, Inger G.
88244b90-b66f-4271-9064-db0544dec568
Lammers, Youri
c71f60ba-9ac1-4a58-900d-0679c5ba0eea
Yoccoz, Nigel G.
ad6b4fb5-dc6a-4bc6-b1dc-54a5538e632d
Jørgensen, Tina
281e51ae-f3fb-4d2d-a5cf-584a9019aa05
Sjögren, Per
90bd3dc5-55b4-4e1a-801b-884110b7311d
Gielly, Ludovic
0a5c6314-0ee8-4df7-8af0-7bf31b9b15fe
Edwards, Mary
4b6a3389-f3a4-4933-b8fd-acdfef72200e
Alsos, Inger G.
88244b90-b66f-4271-9064-db0544dec568
Lammers, Youri
c71f60ba-9ac1-4a58-900d-0679c5ba0eea
Yoccoz, Nigel G.
ad6b4fb5-dc6a-4bc6-b1dc-54a5538e632d
Jørgensen, Tina
281e51ae-f3fb-4d2d-a5cf-584a9019aa05
Sjögren, Per
90bd3dc5-55b4-4e1a-801b-884110b7311d
Gielly, Ludovic
0a5c6314-0ee8-4df7-8af0-7bf31b9b15fe
Edwards, Mary
4b6a3389-f3a4-4933-b8fd-acdfef72200e

Alsos, Inger G., Lammers, Youri, Yoccoz, Nigel G., Jørgensen, Tina, Sjögren, Per, Gielly, Ludovic and Edwards, Mary (2018) Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation. Dryad Digital Repository doi:10.5061/DRYAD.G72V731 [Dataset]

Record type: Dataset

Abstract

Metabarcoding of lake sediments have been shown to reveal current and past biodiversity, but little is known about the degree to which taxa growing in the vegetation are represented in environmental DNA (eDNA) records. We analysed composition of lake and catchment vegetation and vascular plant eDNA at 11 lakes in northern Norway. Out of 489 records of taxa growing within 2 m from the lake shore, 17-49% (mean 31%) of the identifiable taxa recorded were detected with eDNA. Of the 217 eDNA records of 47 plant taxa in the 11 lakes, 73% and 12% matched taxa recorded in vegetation surveys within 2 m and up to about 50 m away from the lakeshore, respectively, whereas 16% were not recorded in the vegetation surveys of the same lake. The latter include taxa likely overlooked in the vegetation surveys or growing outside the survey area. The percentages detected were 61, 47, 25, and 15 for dominant, common, scattered, and rare taxa, respectively. Similar numbers for aquatic plants were 88, 88, 33 and 62%, respectively. Detection rate and taxonomic resolution varied among plant families and functional groups with good detection of e.g. Ericaceae, Roseaceae, deciduous trees, ferns, club mosses and aquatics. The representation of terrestrial taxa in eDNA depends on both their distance from the sampling site and their abundance and is sufficient for recording vegetation types. For aquatic vegetation, eDNA may be comparable with, or even superior to, in-lake vegetation surveys and may therefore be used as an tool for biomonitoring. For reconstruction of terrestrial vegetation, technical improvements and more intensive sampling is needed to detect a higher proportion of rare taxa although DNA of some taxa may never reach the lake sediments due to taphonomical constrains. Nevertheless, eDNA performs similar to conventional methods of pollen and macrofossil analyses and may therefore be an important tool for reconstruction of past vegetation.

This record has no associated files available for download.

More information

Published date: 2018
Keywords: Holocene, Norway, ancient DNA, environmental DNA, biodiversity, Troms, vascular plants, biomonitoring, palaeobiology, palaeobotany, Finnmark

Identifiers

Local EPrints ID: 436507
URI: http://eprints.soton.ac.uk/id/eprint/436507
PURE UUID: bf433a46-4efa-4ca1-af4e-e8e1d7202617
ORCID for Mary Edwards: ORCID iD orcid.org/0000-0002-3490-6682

Catalogue record

Date deposited: 11 Dec 2019 17:31
Last modified: 12 Dec 2019 01:36

Export record

Altmetrics

Contributors

Creator: Inger G. Alsos
Creator: Youri Lammers
Creator: Nigel G. Yoccoz
Creator: Tina Jørgensen
Creator: Per Sjögren
Creator: Ludovic Gielly
Creator: Mary Edwards ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×