Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment

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 ecosys...

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Main Authors: Stat, Michael, Huggett, M., Bernasconi, R., Di Battista, Joseph, Berry, Tina, Newman, Stephen, Harvey, Euan, Bunce, Michael
Format: Journal Article
Published: Nature Publishing Group 2017
Online Access:http://purl.org/au-research/grants/arc/LP160100839
http://hdl.handle.net/20.500.11937/58923
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author Stat, Michael
Huggett, M.
Bernasconi, R.
Di Battista, Joseph
Berry, Tina
Newman, Stephen
Harvey, Euan
Bunce, Michael
author_facet Stat, Michael
Huggett, M.
Bernasconi, R.
Di Battista, Joseph
Berry, Tina
Newman, Stephen
Harvey, Euan
Bunce, Michael
author_sort Stat, Michael
building Curtin Institutional Repository
collection Online Access
description 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. © 2017 The Author(s).
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spelling curtin-20.500.11937-589232022-11-23T05:56:14Z Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment Stat, Michael Huggett, M. Bernasconi, R. Di Battista, Joseph Berry, Tina Newman, Stephen Harvey, Euan Bunce, Michael 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. © 2017 The Author(s). 2017 Journal Article http://hdl.handle.net/20.500.11937/58923 10.1038/s41598-017-12501-5 http://purl.org/au-research/grants/arc/LP160100839 http://creativecommons.org/licenses/by/4.0/ Nature Publishing Group fulltext
spellingShingle Stat, Michael
Huggett, M.
Bernasconi, R.
Di Battista, Joseph
Berry, Tina
Newman, Stephen
Harvey, Euan
Bunce, Michael
Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title_full Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title_fullStr Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title_full_unstemmed Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title_short Ecosystem biomonitoring with eDNA: Metabarcoding across the tree of life in a tropical marine environment
title_sort ecosystem biomonitoring with edna: metabarcoding across the tree of life in a tropical marine environment
url http://purl.org/au-research/grants/arc/LP160100839
http://hdl.handle.net/20.500.11937/58923