Literature DB >> 22486824

Towards next-generation biodiversity assessment using DNA metabarcoding.

Pierre Taberlet1, Eric Coissac, François Pompanon, Christian Brochmann, Eske Willerslev.   

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.
© 2012 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22486824     DOI: 10.1111/j.1365-294X.2012.05470.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  259 in total

1.  Response of forest soil euglyphid testate amoebae (Rhizaria: Cercozoa) to pig cadavers assessed by high-throughput sequencing.

Authors:  Christophe V W Seppey; Bertrand Fournier; Ildikò Szelecz; David Singer; Edward A D Mitchell; Enrique Lara
Journal:  Int J Legal Med       Date:  2015-01-27       Impact factor: 2.686

2.  The nuclear 28S gene fragment D3 as species marker in oribatid mites (Acari, Oribatida) from German peatlands.

Authors:  Ricarda Lehmitz; Peter Decker
Journal:  Exp Appl Acarol       Date:  2017-04-12       Impact factor: 2.132

Review 3.  DNA Barcoding and Pharmacovigilance of Herbal Medicines.

Authors:  Hugo J de Boer; Mihael C Ichim; Steven G Newmaster
Journal:  Drug Saf       Date:  2015-07       Impact factor: 5.606

4.  Next generation sequencing for characterizing biodiversity: promises and challenges.

Authors:  François Pompanon; Sarah Samadi
Journal:  Genetica       Date:  2015-01-23       Impact factor: 1.082

5.  NGS metabarcoding proves successful for quantitative assessment of symbiont abundance: the case of feather mites on birds.

Authors:  J Diaz-Real; D Serrano; A Piriz; R Jovani
Journal:  Exp Appl Acarol       Date:  2015-07-03       Impact factor: 2.132

6.  Distinctive fungal communities in an obligate African ant-plant mutualism.

Authors:  Christopher C M Baker; Dino J Martins; Julianne N Pelaez; Johan P J Billen; Anne Pringle; Megan E Frederickson; Naomi E Pierce
Journal:  Proc Biol Sci       Date:  2017-03-15       Impact factor: 5.349

7.  How are species interactions structured in species-rich communities? A new method for analysing time-series data.

Authors:  Otso Ovaskainen; Gleb Tikhonov; David Dunson; Vidar Grøtan; Steinar Engen; Bernt-Erik Sæther; Nerea Abrego
Journal:  Proc Biol Sci       Date:  2017-05-31       Impact factor: 5.349

8.  Enabling large-scale feather mite studies: an Illumina DNA metabarcoding pipeline.

Authors:  Antón Vizcaíno; Jorge Doña; Joaquín Vierna; Neus Marí-Mena; Rocío Esteban; Sergey Mironov; Charlotte Urien; David Serrano; Roger Jovani
Journal:  Exp Appl Acarol       Date:  2018-09-03       Impact factor: 2.132

Review 9.  The changing epitome of species identification - DNA barcoding.

Authors:  M Ajmal Ali; Gábor Gyulai; Norbert Hidvégi; Balázs Kerti; Fahad M A Al Hemaid; Arun K Pandey; Joongku Lee
Journal:  Saudi J Biol Sci       Date:  2014-03-31       Impact factor: 4.219

10.  A critique of Rossberg et al.: Noise obscures the genetic signal of meiobiotal ecospecies in ecogenomic datasets.

Authors:  M J Morgan; D Bass; H Bik; C W Birky; M Blaxter; M D Crisp; S Derycke; D Fitch; D Fontaneto; C M Hardy; A J King; K C Kiontke; T Moens; J W Pawlowski; D Porazinska; C Q Tang; W K Thomas; D K Yeates; S Creer
Journal:  Proc Biol Sci       Date:  2014-03-26       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.