2017
DOI: 10.1038/s41598-017-12501-5
|View full text |Cite
|
Sign up to set email alerts
|

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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

20
407
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 389 publications
(427 citation statements)
references
References 75 publications
20
407
0
Order By: Relevance
“…Particularly important for regulatory applications, or where researchers wish to compare results over time or between studies, some degree of standardization is desirable (Hering et al, ). Our results – and those of previous studies using similar primer sets (Bakker et al, ; Jeunen et al, ; Lim et al, ; Macher et al, ; Singer et al, ; Stat et al, ; Yang et al, ) – show that environmental metabarcoding for restricted taxonomic groups using degenerate COI primers results in excessive volumes of ‘wasted’ sequencing effort. This co‐amplification of prokaryotic and non‐target eukaryotic DNAs and subsequent lack of specificity is due to the nature of mutation patterns in COI (Siddall et al, ).…”
Section: Discussionsupporting
confidence: 79%
See 1 more Smart Citation
“…Particularly important for regulatory applications, or where researchers wish to compare results over time or between studies, some degree of standardization is desirable (Hering et al, ). Our results – and those of previous studies using similar primer sets (Bakker et al, ; Jeunen et al, ; Lim et al, ; Macher et al, ; Singer et al, ; Stat et al, ; Yang et al, ) – show that environmental metabarcoding for restricted taxonomic groups using degenerate COI primers results in excessive volumes of ‘wasted’ sequencing effort. This co‐amplification of prokaryotic and non‐target eukaryotic DNAs and subsequent lack of specificity is due to the nature of mutation patterns in COI (Siddall et al, ).…”
Section: Discussionsupporting
confidence: 79%
“…That the highly degenerate Leray‐XT primers produced a low proportion of fish reads is unsurprising given that previous studies on environmental samples using degenerate COI primers have demonstrated that they can amplify widely beyond their target taxa, and can produce large proportions of unassigned reads (Lim et al., ; Macher et al, ; Singer et al, ; Stat et al, ). The proportion of bacterial reads are generally lower when metabarcoding bulk organismal samples, however, with most reads belonging to metazoans (Leray & Knowlton, ; Macher et al, ; Wangensteen et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Library preparation followed the protocol described in (Berry et al, ; Stat et al, ). Briefly, samples were analyzed using three metabarcoding assays targeting two fragments of the 16S rRNA gene region and one fragment of the cytochrome c oxidase subunit I (COI) gene region (Supporting information Table S2).…”
Section: Methodsmentioning
confidence: 99%
“…Fortunately, we are starting to move towards a point where markers used in different applications are better understood and alternative less‐biased approaches are being explored. This includes the use of multiple target markers (Stat et al., ) and PCR‐free approaches (Srivathsan, Ang, Vogler, & Meier, ) that can be combined with prey DNA enrichment (Krehenwinkel, Kennedy, Pekár, & Gillespie, ). Inclusion of control materials in sequencing runs can also ensure consistency between experiments (Hardwick, Deveson, & Mercer, ).…”
Section: A View Of the Way Forward In Interpreting Sequence Countsmentioning
confidence: 99%