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...
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Online Access: | https://doi.org/10.5061/dryad.g72v731 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::d1183580186535a143840100c06c3636 2023-05-15T17:43:41+02:00 Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation Alsos, Inger G. Lammers, Youri Yoccoz, Nigel G. Jørgensen, Tina Sjögren, Per Gielly, Ludovic Edwards, Mary E. Alsos, Inger Greve Yoccoz, Nigel Giles 2019-01-01 https://doi.org/10.5061/dryad.g72v731 undefined unknown http://dx.doi.org/10.5061/dryad.g72v731 https://dx.doi.org/10.5061/DRYAD.G72V731 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:103014 oai:easy.dans.knaw.nl:easy-dataset:103014 10.5061/DRYAD.G72V731 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f Life sciences medicine and health care (:tba) biodiversity biomonitoring vascular plants Environmental DNA palaeobotany ancient DNA Holocene Palaeobiology geo anthro-bio Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2019 fttriple https://doi.org/10.5061/dryad.g72v731 https://doi.org/10.5061/DRYAD.G72V731 2023-01-22T16:53:35Z 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. NGSfilter file.The ngsfilter file containing the sample - PCR tag information necessary ... Dataset Northern Norway Unknown Norway |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care (:tba) biodiversity biomonitoring vascular plants Environmental DNA palaeobotany ancient DNA Holocene Palaeobiology geo anthro-bio |
spellingShingle |
Life sciences medicine and health care (:tba) biodiversity biomonitoring vascular plants Environmental DNA palaeobotany ancient DNA Holocene Palaeobiology geo anthro-bio Alsos, Inger G. Lammers, Youri Yoccoz, Nigel G. Jørgensen, Tina Sjögren, Per Gielly, Ludovic Edwards, Mary E. Alsos, Inger Greve Yoccoz, Nigel Giles Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
topic_facet |
Life sciences medicine and health care (:tba) biodiversity biomonitoring vascular plants Environmental DNA palaeobotany ancient DNA Holocene Palaeobiology geo anthro-bio |
description |
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. NGSfilter file.The ngsfilter file containing the sample - PCR tag information necessary ... |
format |
Dataset |
author |
Alsos, Inger G. Lammers, Youri Yoccoz, Nigel G. Jørgensen, Tina Sjögren, Per Gielly, Ludovic Edwards, Mary E. Alsos, Inger Greve Yoccoz, Nigel Giles |
author_facet |
Alsos, Inger G. Lammers, Youri Yoccoz, Nigel G. Jørgensen, Tina Sjögren, Per Gielly, Ludovic Edwards, Mary E. Alsos, Inger Greve Yoccoz, Nigel Giles |
author_sort |
Alsos, Inger G. |
title |
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
title_short |
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
title_full |
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
title_fullStr |
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
title_full_unstemmed |
Data from: Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation |
title_sort |
data from: plant dna metabarcoding of lake sediments: how does it represent the contemporary vegetation |
publishDate |
2019 |
url |
https://doi.org/10.5061/dryad.g72v731 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Northern Norway |
genre_facet |
Northern Norway |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:103014 oai:easy.dans.knaw.nl:easy-dataset:103014 10.5061/DRYAD.G72V731 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f |
op_relation |
http://dx.doi.org/10.5061/dryad.g72v731 https://dx.doi.org/10.5061/DRYAD.G72V731 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.g72v731 https://doi.org/10.5061/DRYAD.G72V731 |
_version_ |
1766145824808501248 |