Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems

Metabarcoding approaches use total and typically degraded DNA from environmental samples to analyse biotic assemblages and can potentially be carried out for any kinds of organisms in an ecosystem. These analyses rely on specific markers, here called metabarcodes, which should be optimized for taxon...

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Main Authors: Epp, Laura S., Boessenkool, Sanne, Bellemain, Eva P., Haile, James, Esposito, Alfonso, Riaz, Tiayyba, Erséus, Christer, Gusarov, Vladimir I., Edwards, Mary E., Johnsen, Arild, Stenøien, Hans K., Hassel, Kristian, Kauserud, Håvard, Yoccoz, Nigel G., Bråthen, Kari Anne, Willerslev, Eske, Taberlet, Pierre, Coissac, Eric, Brochmann, Christian
Format: Dataset
Language:English
Published: Dryad 2020
Subjects:
geo
Yar
Online Access:https://doi.org/10.5061/dryad.37s6bb42
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spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::8fc1fa73aff38d1f35f697b1b78651bd 2023-05-15T15:16:02+02:00 Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems Epp, Laura S. Boessenkool, Sanne Bellemain, Eva P. Haile, James Esposito, Alfonso Riaz, Tiayyba Erséus, Christer Gusarov, Vladimir I. Edwards, Mary E. Johnsen, Arild Stenøien, Hans K. Hassel, Kristian Kauserud, Håvard Yoccoz, Nigel G. Bråthen, Kari Anne Willerslev, Eske Taberlet, Pierre Coissac, Eric Brochmann, Christian 2020-07-05 https://doi.org/10.5061/dryad.37s6bb42 en eng Dryad http://dx.doi.org/10.5061/dryad.37s6bb42 https://dx.doi.org/10.5061/dryad.37s6bb42 lic_creative-commons 10.5061/dryad.37s6bb42 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:81630 oai:easy.dans.knaw.nl:easy-dataset:81630 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Fungi Metabarcoding Environmental DNA Coleoptera Enchytraeidae Bryophyta ancient DNA Aves primers Holocene Pleistocene Life sciences medicine and health care Arctic envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2020 fttriple https://doi.org/10.5061/dryad.37s6bb42 2023-01-22T16:53:33Z Metabarcoding approaches use total and typically degraded DNA from environmental samples to analyse biotic assemblages and can potentially be carried out for any kinds of organisms in an ecosystem. These analyses rely on specific markers, here called metabarcodes, which should be optimized for taxonomic resolution, minimal bias in amplification of the target organism group and short sequence length. Using bioinformatic tools, we developed metabarcodes for several groups of organisms: fungi, bryophytes, enchytraeids, beetles and birds. The ability of these metabarcodes to amplify the target groups was systematically evaluated by (1) in silico PCRs using all standard sequences in the EMBL public database as templates, (2) in vitro PCRs of DNA extracts from surface soil samples from a site in Varanger, northern Norway, and (3) in vitro PCRs of DNA extracts from permanently frozen sediment samples of late-Pleistocene age (~ 16 000–50 000 yr BP) from two Siberian sites, Duvanny Yar and Main River. Comparison of the results from the in silico PCR with those obtained in vitro showed that the in silico approach offered a reliable estimate of the suitability of a marker. All target groups were detected in the environmental DNA, but we found large variation in the level of detection among the groups and between modern and ancient samples. Success rates for the Pleistocene samples were highest for fungal DNA, whereas bryophyte, beetle and bird sequences could also be retrieved, but to a much lesser degree. The metabarcoding approach has considerable potential for biodiversity screening of modern samples and also as a paleoecological tool. Epp_etal_metabarcodes_dryadThis file contains all consensus sequences retrieved from clones of environmental samples and referred to in Table S6 of the Supplementary material. Dataset Arctic Northern Norway Varanger Unknown Arctic Norway Yar ENVELOPE(151.300,151.300,70.917,70.917)
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic Fungi
Metabarcoding
Environmental DNA
Coleoptera
Enchytraeidae
Bryophyta
ancient DNA
Aves
primers
Holocene
Pleistocene
Life sciences
medicine and health care
Arctic
envir
geo
spellingShingle Fungi
Metabarcoding
Environmental DNA
Coleoptera
Enchytraeidae
Bryophyta
ancient DNA
Aves
primers
Holocene
Pleistocene
Life sciences
medicine and health care
Arctic
envir
geo
Epp, Laura S.
Boessenkool, Sanne
Bellemain, Eva P.
Haile, James
Esposito, Alfonso
Riaz, Tiayyba
Erséus, Christer
Gusarov, Vladimir I.
Edwards, Mary E.
Johnsen, Arild
Stenøien, Hans K.
Hassel, Kristian
Kauserud, Håvard
Yoccoz, Nigel G.
Bråthen, Kari Anne
Willerslev, Eske
Taberlet, Pierre
Coissac, Eric
Brochmann, Christian
Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
topic_facet Fungi
Metabarcoding
Environmental DNA
Coleoptera
Enchytraeidae
Bryophyta
ancient DNA
Aves
primers
Holocene
Pleistocene
Life sciences
medicine and health care
Arctic
envir
geo
description Metabarcoding approaches use total and typically degraded DNA from environmental samples to analyse biotic assemblages and can potentially be carried out for any kinds of organisms in an ecosystem. These analyses rely on specific markers, here called metabarcodes, which should be optimized for taxonomic resolution, minimal bias in amplification of the target organism group and short sequence length. Using bioinformatic tools, we developed metabarcodes for several groups of organisms: fungi, bryophytes, enchytraeids, beetles and birds. The ability of these metabarcodes to amplify the target groups was systematically evaluated by (1) in silico PCRs using all standard sequences in the EMBL public database as templates, (2) in vitro PCRs of DNA extracts from surface soil samples from a site in Varanger, northern Norway, and (3) in vitro PCRs of DNA extracts from permanently frozen sediment samples of late-Pleistocene age (~ 16 000–50 000 yr BP) from two Siberian sites, Duvanny Yar and Main River. Comparison of the results from the in silico PCR with those obtained in vitro showed that the in silico approach offered a reliable estimate of the suitability of a marker. All target groups were detected in the environmental DNA, but we found large variation in the level of detection among the groups and between modern and ancient samples. Success rates for the Pleistocene samples were highest for fungal DNA, whereas bryophyte, beetle and bird sequences could also be retrieved, but to a much lesser degree. The metabarcoding approach has considerable potential for biodiversity screening of modern samples and also as a paleoecological tool. Epp_etal_metabarcodes_dryadThis file contains all consensus sequences retrieved from clones of environmental samples and referred to in Table S6 of the Supplementary material.
format Dataset
author Epp, Laura S.
Boessenkool, Sanne
Bellemain, Eva P.
Haile, James
Esposito, Alfonso
Riaz, Tiayyba
Erséus, Christer
Gusarov, Vladimir I.
Edwards, Mary E.
Johnsen, Arild
Stenøien, Hans K.
Hassel, Kristian
Kauserud, Håvard
Yoccoz, Nigel G.
Bråthen, Kari Anne
Willerslev, Eske
Taberlet, Pierre
Coissac, Eric
Brochmann, Christian
author_facet Epp, Laura S.
Boessenkool, Sanne
Bellemain, Eva P.
Haile, James
Esposito, Alfonso
Riaz, Tiayyba
Erséus, Christer
Gusarov, Vladimir I.
Edwards, Mary E.
Johnsen, Arild
Stenøien, Hans K.
Hassel, Kristian
Kauserud, Håvard
Yoccoz, Nigel G.
Bråthen, Kari Anne
Willerslev, Eske
Taberlet, Pierre
Coissac, Eric
Brochmann, Christian
author_sort Epp, Laura S.
title Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
title_short Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
title_full Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
title_fullStr Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
title_full_unstemmed Data from: New environmental metabarcodes for analysing soil DNA: potential for studying past and present ecosystems
title_sort data from: new environmental metabarcodes for analysing soil dna: potential for studying past and present ecosystems
publisher Dryad
publishDate 2020
url https://doi.org/10.5061/dryad.37s6bb42
long_lat ENVELOPE(151.300,151.300,70.917,70.917)
geographic Arctic
Norway
Yar
geographic_facet Arctic
Norway
Yar
genre Arctic
Northern Norway
Varanger
genre_facet Arctic
Northern Norway
Varanger
op_source 10.5061/dryad.37s6bb42
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https://dx.doi.org/10.5061/dryad.37s6bb42
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