Your browser doesn't support javascript.
loading
Can non-destructive DNA extraction of bulk invertebrate samples be used for metabarcoding?
Carew, Melissa E; Coleman, Rhys A; Hoffmann, Ary A.
Afiliação
  • Carew ME; School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia.
  • Coleman RA; Applied Research, Melbourne Water Corporation, Melbourne, Victoria, Australia.
  • Hoffmann AA; School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia.
PeerJ ; 6: e4980, 2018.
Article em En | MEDLINE | ID: mdl-29915700
ABSTRACT

BACKGROUND:

High throughput DNA sequencing of bulk invertebrate samples or metabarcoding is becoming increasingly used to provide profiles of biological communities for environmental monitoring. As metabarcoding becomes more widely applied, new reference DNA barcodes linked to individual specimens identified by taxonomists are needed. This can be achieved through using DNA extraction methods that are not only suitable for metabarcoding but also for building reference DNA barcode libraries.

METHODS:

In this study, we test the suitability of a rapid non-destructive DNA extraction method for metabarcoding of freshwater invertebrate samples.

RESULTS:

This method resulted in detection of taxa from many taxonomic groups, comparable to results obtained with two other tissue-based extraction methods. Most taxa could also be successfully used for subsequent individual-based DNA barcoding and taxonomic identification. The method was successfully applied to field-collected invertebrate samples stored for taxonomic studies in 70% ethanol at room temperature, a commonly used storage method for freshwater samples.

DISCUSSION:

With further refinement and testing, non-destructive extraction has the potential to rapidly characterise species biodiversity in invertebrate samples, while preserving specimens for taxonomic investigation.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article