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New environmental metabarcodes for analysing soil DNA: Potential for studying past and present ecosystems

New environmental metabarcodes for analysing soil DNA: Potential for studying past and present ecosystems
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 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 (i) in silico PCRs using all standard sequences in the EMBL public database as templates, (ii) in vitro PCRs of DNA extracts from surface soil samples from a site in Varanger, northern Norway and (iii) in vitro PCRs of DNA extracts from permanently frozen sediment samples of late-Pleistocene age (∼16 000-50 000 years 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 palaeoecological tool.

ancient DNA, Arctic, environmental DNA, metabarcoding, primers
0962-1083
1821-1833
Epp, Laura S.
d7c2dd0c-c6be-4dfa-a1a8-3f76187fcc6c
Boessenkool, Sanne
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Bellemain, Eva P.
66a96cde-9f45-41f8-84ad-c02ad6bf7514
Haile, James
831f077c-daae-4aa1-b4b7-c4c76a2f6c00
Esposito, Alfonso
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Riaz, Tiayyba
b05c1a5c-5a98-4cfb-99b7-1280051481cc
Erséus, Christer
367907f1-96aa-4bff-9b3f-188fab72f110
Gusarov, Vladimir I.
99720fab-58bd-4364-a061-ffdc4c0af74c
Edwards, Mary E.
4b6a3389-f3a4-4933-b8fd-acdfef72200e
Johnsen, Arild
d5e74f06-e873-4b91-91bb-44cb3d4e5ac7
Stenøien, Hans K.
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Hassel, Kristian
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Kauserud, Håvard
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Yoccoz, Nigel G.
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Bråthen, Kari Anne
35789f60-9819-45ee-a4fe-ff4a9f2108a5
Willerslev, Eske
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Taberlet, Pierre
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Coissac, Eric
66ae82c0-bd94-4446-8d1b-af0d15732d0b
Brochmann, Christian
82cfe10a-4506-4340-a219-8ee809f52d5e
Epp, Laura S.
d7c2dd0c-c6be-4dfa-a1a8-3f76187fcc6c
Boessenkool, Sanne
6a24c3b2-94e2-4722-bd5a-33041ce5e6c9
Bellemain, Eva P.
66a96cde-9f45-41f8-84ad-c02ad6bf7514
Haile, James
831f077c-daae-4aa1-b4b7-c4c76a2f6c00
Esposito, Alfonso
0149748d-9b55-4c9c-b9e7-11384c67fc10
Riaz, Tiayyba
b05c1a5c-5a98-4cfb-99b7-1280051481cc
Erséus, Christer
367907f1-96aa-4bff-9b3f-188fab72f110
Gusarov, Vladimir I.
99720fab-58bd-4364-a061-ffdc4c0af74c
Edwards, Mary E.
4b6a3389-f3a4-4933-b8fd-acdfef72200e
Johnsen, Arild
d5e74f06-e873-4b91-91bb-44cb3d4e5ac7
Stenøien, Hans K.
9c8030b2-abed-468b-bd14-0615f69fd7f6
Hassel, Kristian
2951dc6d-56d0-42b3-ae2b-fa8ab4342427
Kauserud, Håvard
7fa12650-214e-4c2b-9118-337e521f4517
Yoccoz, Nigel G.
ad6b4fb5-dc6a-4bc6-b1dc-54a5538e632d
Bråthen, Kari Anne
35789f60-9819-45ee-a4fe-ff4a9f2108a5
Willerslev, Eske
3815b419-7ba2-4827-a7a7-e97dd7118ee6
Taberlet, Pierre
f5769360-3873-49b1-b4ce-56e14b1d3aa0
Coissac, Eric
66ae82c0-bd94-4446-8d1b-af0d15732d0b
Brochmann, Christian
82cfe10a-4506-4340-a219-8ee809f52d5e

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 and Brochmann, Christian (2012) New environmental metabarcodes for analysing soil DNA: Potential for studying past and present ecosystems. Molecular Ecology, 21 (8), 1821-1833. (doi:10.1111/j.1365-294X.2012.05537.x).

Record type: Article

Abstract

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 (i) in silico PCRs using all standard sequences in the EMBL public database as templates, (ii) in vitro PCRs of DNA extracts from surface soil samples from a site in Varanger, northern Norway and (iii) in vitro PCRs of DNA extracts from permanently frozen sediment samples of late-Pleistocene age (∼16 000-50 000 years 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 palaeoecological tool.

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More information

Published date: April 2012
Additional Information: Funding Information: We thank Klaus Kaestner (Department of Genetics, University of Pennsylvania) for an aliquot of his mouse genomic library, Wolf-Dieter Schleuning (Schering AG, Berlin, Germany) for recombinant rat TNF-α, Gunter Wolf (Department of Nephrology, University of Hamburg, Hamburg, Germany) for the mouse mesangial cell line, Charles Stiles (Dana-Farber Cancer Institute, Boston, MA) for a mouse MCP-1 cDNA clone, Andras Nagy (Samuel Lunenfeld Research Institute, Toronto, Canada) for the plasmid ploxPneo, Armin Koroknay (Medizinische Poliklinik, Ludwig-Maximilians-Universität, Munich, Germany) for suggesting the MAR-Wiz program, and Peter Becker (Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität, Munich, Germany) and Peter Nelson (Medizinische Poliklinik, Ludwig-Maximilians-Universität, Munich, Germany) for critical reading of the manuscript. This work was supported by grants from the Deutsche Forschungsgemeinschaft and the Friedrich-Baur-Stiftung.
Keywords: ancient DNA, Arctic, environmental DNA, metabarcoding, primers

Identifiers

Local EPrints ID: 487575
URI: http://eprints.soton.ac.uk/id/eprint/487575
ISSN: 0962-1083
PURE UUID: 85552748-17b7-4e55-9b11-971a1a22dc4d
ORCID for Mary E. Edwards: ORCID iD orcid.org/0000-0002-3490-6682

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Date deposited: 27 Feb 2024 17:59
Last modified: 18 Mar 2024 02:55

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Contributors

Author: Laura S. Epp
Author: Sanne Boessenkool
Author: Eva P. Bellemain
Author: James Haile
Author: Alfonso Esposito
Author: Tiayyba Riaz
Author: Christer Erséus
Author: Vladimir I. Gusarov
Author: Mary E. Edwards ORCID iD
Author: Arild Johnsen
Author: Hans K. Stenøien
Author: Kristian Hassel
Author: Håvard Kauserud
Author: Nigel G. Yoccoz
Author: Kari Anne Bråthen
Author: Eske Willerslev
Author: Pierre Taberlet
Author: Eric Coissac
Author: Christian Brochmann

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