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
1821-1833
Epp, Laura S.
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Boessenkool, Sanne
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Bellemain, Eva P.
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Haile, James
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Esposito, Alfonso
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Riaz, Tiayyba
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Erséus, Christer
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Gusarov, Vladimir I.
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Edwards, Mary E.
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Johnsen, Arild
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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
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Willerslev, Eske
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Taberlet, Pierre
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Coissac, Eric
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Brochmann, Christian
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April 2012
Epp, Laura S.
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Boessenkool, Sanne
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Bellemain, Eva P.
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Haile, James
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Esposito, Alfonso
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Riaz, Tiayyba
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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
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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
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), .
(doi:10.1111/j.1365-294X.2012.05537.x).
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
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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:
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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