Towards next-generation biodiversity assessment using DNA metabarcoding

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Standard

Towards next-generation biodiversity assessment using DNA metabarcoding. / Taberlet, Pierre; Coissac, Eric; Pompanon, Francois; Brochmann, Christian; Willerslev, Eske.

I: Molecular Ecology, Bind 21, Nr. 8, 2012, s. 2045-2050.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Taberlet, P, Coissac, E, Pompanon, F, Brochmann, C & Willerslev, E 2012, 'Towards next-generation biodiversity assessment using DNA metabarcoding', Molecular Ecology, bind 21, nr. 8, s. 2045-2050. https://doi.org/10.1111/j.1365-294X.2012.05470.x

APA

Taberlet, P., Coissac, E., Pompanon, F., Brochmann, C., & Willerslev, E. (2012). Towards next-generation biodiversity assessment using DNA metabarcoding. Molecular Ecology, 21(8), 2045-2050. https://doi.org/10.1111/j.1365-294X.2012.05470.x

Vancouver

Taberlet P, Coissac E, Pompanon F, Brochmann C, Willerslev E. Towards next-generation biodiversity assessment using DNA metabarcoding. Molecular Ecology. 2012;21(8):2045-2050. https://doi.org/10.1111/j.1365-294X.2012.05470.x

Author

Taberlet, Pierre ; Coissac, Eric ; Pompanon, Francois ; Brochmann, Christian ; Willerslev, Eske. / Towards next-generation biodiversity assessment using DNA metabarcoding. I: Molecular Ecology. 2012 ; Bind 21, Nr. 8. s. 2045-2050.

Bibtex

@article{cb8dd3474c1c4eab9eaf3eb1084db534,
title = "Towards next-generation biodiversity assessment using DNA metabarcoding",
abstract = "Virtually all empirical ecological studies require species identification during data collection. DNA metabarcoding refers to the automated identification of multiple species from a single bulk sample containing entire organisms or from a single environmental sample containing degraded DNA (soil, water, faeces, etc.). It can be implemented for both modern and ancient environmental samples. The availability of next-generation sequencing platforms and the ecologists need for high-throughput taxon identification have facilitated the emergence of DNA metabarcoding. The potential power of DNA metabarcoding as it is implemented today is limited mainly by its dependency on PCR and by the considerable investment needed to build comprehensive taxonomic reference libraries. Further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries composed of whole organellar genomes and repetitive ribosomal nuclear DNA can be built based on the well-curated DNA extract collections maintained by standardized barcoding initiatives. The near-term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research.",
author = "Pierre Taberlet and Eric Coissac and Francois Pompanon and Christian Brochmann and Eske Willerslev",
note = "Special issue: environmental DNA",
year = "2012",
doi = "10.1111/j.1365-294X.2012.05470.x",
language = "English",
volume = "21",
pages = "2045--2050",
journal = "Molecular Ecology",
issn = "0962-1083",
publisher = "Wiley-Blackwell",
number = "8",

}

RIS

TY - JOUR

T1 - Towards next-generation biodiversity assessment using DNA metabarcoding

AU - Taberlet, Pierre

AU - Coissac, Eric

AU - Pompanon, Francois

AU - Brochmann, Christian

AU - Willerslev, Eske

N1 - Special issue: environmental DNA

PY - 2012

Y1 - 2012

N2 - Virtually all empirical ecological studies require species identification during data collection. DNA metabarcoding refers to the automated identification of multiple species from a single bulk sample containing entire organisms or from a single environmental sample containing degraded DNA (soil, water, faeces, etc.). It can be implemented for both modern and ancient environmental samples. The availability of next-generation sequencing platforms and the ecologists need for high-throughput taxon identification have facilitated the emergence of DNA metabarcoding. The potential power of DNA metabarcoding as it is implemented today is limited mainly by its dependency on PCR and by the considerable investment needed to build comprehensive taxonomic reference libraries. Further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries composed of whole organellar genomes and repetitive ribosomal nuclear DNA can be built based on the well-curated DNA extract collections maintained by standardized barcoding initiatives. The near-term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research.

AB - Virtually all empirical ecological studies require species identification during data collection. DNA metabarcoding refers to the automated identification of multiple species from a single bulk sample containing entire organisms or from a single environmental sample containing degraded DNA (soil, water, faeces, etc.). It can be implemented for both modern and ancient environmental samples. The availability of next-generation sequencing platforms and the ecologists need for high-throughput taxon identification have facilitated the emergence of DNA metabarcoding. The potential power of DNA metabarcoding as it is implemented today is limited mainly by its dependency on PCR and by the considerable investment needed to build comprehensive taxonomic reference libraries. Further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries composed of whole organellar genomes and repetitive ribosomal nuclear DNA can be built based on the well-curated DNA extract collections maintained by standardized barcoding initiatives. The near-term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research.

U2 - 10.1111/j.1365-294X.2012.05470.x

DO - 10.1111/j.1365-294X.2012.05470.x

M3 - Journal article

C2 - 22486824

VL - 21

SP - 2045

EP - 2050

JO - Molecular Ecology

JF - Molecular Ecology

SN - 0962-1083

IS - 8

ER -

ID: 49586103