Document of bibliographic reference 290093

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Ecosystem biomonitoring with eDNA: metabarcoding across the tree of life in a tropical marine environment
Abstract
Effective marine management requires comprehensive data on the status of marine biodiversity. However, efficient methods that can document biodiversity in our oceans are currently lacking. Environmental DNA (eDNA) sourced from seawater offers a new avenue for investigating the biota in marine ecosystems. Here, we investigated the potential of eDNA to inform on the breadth of biodiversity present in a tropical marine environment. Directly sequencing eDNA from seawater using a shotgun approach resulted in only 0.34% of 22.3 million reads assigning to eukaryotes, highlighting the inefficiency of this method for assessing eukaryotic diversity. In contrast, using ‘tree of life’ (ToL) metabarcoding and 20-fold fewer sequencing reads, we could detect 287 families across the major divisions of eukaryotes. Our data also show that the best performing ‘universal’ PCR assay recovered only 44% of the eukaryotes identified across all assays, highlighting the need for multiple metabarcoding assays to catalogue biodiversity. Lastly, focusing on the fish genus Lethrinus, we recovered intra- and inter-specific haplotypes from seawater samples, illustrating that eDNA can be used to explore diversity beyond taxon identifications. Given the sensitivity and low cost of eDNA metabarcoding we advocate this approach be rapidly integrated into biomonitoring programs.
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000411648500014
Bibliographic citation
Stat, M.; Huggett, M.J.; Bernasconi, R.; Dibattista, J.D.; Berry, T.E.; Newman, S.J.; Harvey, E.S.; Bunce, M. (2017). Ecosystem biomonitoring with eDNA: metabarcoding across the tree of life in a tropical marine environment. NPG Scientific Reports 7(1): 11 pp. https://dx.doi.org/10.1038/s41598-017-12501-5
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Michael Stat
author
Name
Megan Huggett
author
Name
Rachele Bernasconi
author
Name
Joseph Dibattista
author
Name
Tina Berry
author
Name
Stephen Newman
author
Name
Euan Harvey
author
Name
Michael Bunce

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1038/s41598-017-12501-5

Document metadata

date created
2017-10-19
date modified
2018-02-13