Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems

Progress Code: completed Statement: Only a small proportion of DNA sequences were assigned to the target taxa (multicellular animals, or metazoa). Samples that yielded less than 1000 metazoan DNA sequence reads are unlikely to provide sufficient DNA sequence depth to properly characterise metazoan d...

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Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), CLARKE, LAURENCE (collaborator), CLARKE, LAURENCE (hasPrincipalInvestigator), CLARKE, LAURENCE (author), Clarke, L., Suter, L., Polanowski, A., Deagle, B., Stark, J. and Johnstone, G.J. (originator), DEAGLE, BRUCE (hasPrincipalInvestigator), JOHNSTONE, GLENN JAMES (collaborator), JOHNSTONE, GLENN JAMES (hasPrincipalInvestigator), POLANOWSKI, ANDREA (hasPrincipalInvestigator), STARK, JONNY (hasPrincipalInvestigator), SUTER, LEONIE (collaborator), SUTER, LEONIE (hasPrincipalInvestigator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
AMD
Online Access:https://researchdata.edu.au/environmental-dna-metabarcoding-nearshore-ecosystems/2817258
id ftands:oai:ands.org.au::2817258
record_format openpolar
spelling ftands:oai:ands.org.au::2817258 2024-09-15T17:43:12+00:00 Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems AADC (owner) AADC, DATA OFFICER (distributor) AADC, DATA OFFICER (custodian) AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith) Australian Antarctic Data Centre (publisher) Australian Antarctic Division (sponsor) CLARKE, LAURENCE (collaborator) CLARKE, LAURENCE (hasPrincipalInvestigator) CLARKE, LAURENCE (author) Clarke, L., Suter, L., Polanowski, A., Deagle, B., Stark, J. and Johnstone, G.J. (originator) DEAGLE, BRUCE (hasPrincipalInvestigator) JOHNSTONE, GLENN JAMES (collaborator) JOHNSTONE, GLENN JAMES (hasPrincipalInvestigator) POLANOWSKI, ANDREA (hasPrincipalInvestigator) STARK, JONNY (hasPrincipalInvestigator) SUTER, LEONIE (collaborator) SUTER, LEONIE (hasPrincipalInvestigator) Spatial: westlimit=77.88451; southlimit=-68.63487; eastlimit=78.39757; northlimit=-68.42426 Spatial: uplimit=39; downlimit=3.6 Temporal: From 2019-11-13 to 2019-12-14 https://researchdata.edu.au/environmental-dna-metabarcoding-nearshore-ecosystems/2817258 unknown Australian Ocean Data Network https://researchdata.edu.au/environmental-dna-metabarcoding-nearshore-ecosystems/2817258 AAS_5097_DAP_nearshore_benthic_DNA_metabarcoding AU/AADC > Australian Antarctic Data Centre, Australia oceans biota EARTH SCIENCE &gt BIOLOGICAL CLASSIFICATION &gt ANIMALS/INVERTEBRATES &gt MOLLUSKS ROTIFERS SEGMENTED WORMS (ANNELIDS) ARTHROPODS ECHINODERMS CNIDARIANS BIOSPHERE &gt ECOSYSTEMS &gt MARINE ECOSYSTEMS &gt BENTHIC ENVIRONMENTAL DNA DNA METABARCODING CYTOCHROME C OXIDASE SUBUNIT I (COI) METAZOAN NEMATODES CNIDARIA CHORDATES ANNELIDS MOLLUSCS ILLUMINA MISEQ ADS &gt Automated DNA Sequencer LABORATORY AMD/AU AMD CEOS dataset ftands 2024-08-06T01:58:58Z Progress Code: completed Statement: Only a small proportion of DNA sequences were assigned to the target taxa (multicellular animals, or metazoa). Samples that yielded less than 1000 metazoan DNA sequence reads are unlikely to provide sufficient DNA sequence depth to properly characterise metazoan diversity in those samples, and were excluded. Non-invasive, “capture-free” approaches like eDNA also raise the question: how do we know an organism detected with eDNA is really there? The issue is discussed in the final paragraph of the article. Purpose To explore the potential of environmental DNA (eDNA) as a metazoan biodiversity monitoring tool for Antarctic benthic ecosystems. Specifically: (1) Are there differences between sediment and water eDNA samples in terms of (a) number of reads assigned to metazoans, non-metazoans, and unclassified, (b) the number of metazoan species detected, (c) metazoan community composition? (2) Does eDNA-based species richness decrease with sediment depth, similar to trends observed in morphology-based studies? (3) Do environmental parameters (e.g., depth, distance to open ocean) influence community composition in water eDNA? Our aim was to compare water and sediment as sources of environmental DNA (eDNA) to better characterise Antarctic benthic communities and further develop practical approaches for DNA-based biodiversity assessment in remote environments. We used a cytochrome c oxidase subunit I (COI) metabarcoding approach to characterise metazoan communities in 26 nearshore sites across 12 locations (including Ellis Fjord, Warriner Channel, Hawker Channel, Abatus Bay, Powell Point, Shirokaya Bay, and Weddell Arm) in the Vestfold Hills (East Antarctica) based on DNA extracted from either sediment cores or filtered seawater. We detected a total of 99 metazoan species from 12 phyla (including nematodes, cnidaria, echinoderms, chordates, arthropods, annelids, rotifers and molluscs) across 26 sites, with similar numbers of species detected in sediment and water eDNA samples. ... Dataset Antarc* Antarctic Antarctica East Antarctica Research Data Australia (Australian National Data Service - ANDS)
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic oceans
biota
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/INVERTEBRATES &gt
MOLLUSKS
ROTIFERS
SEGMENTED WORMS (ANNELIDS)
ARTHROPODS
ECHINODERMS
CNIDARIANS
BIOSPHERE &gt
ECOSYSTEMS &gt
MARINE ECOSYSTEMS &gt
BENTHIC
ENVIRONMENTAL DNA
DNA METABARCODING
CYTOCHROME C OXIDASE SUBUNIT I (COI)
METAZOAN
NEMATODES
CNIDARIA
CHORDATES
ANNELIDS
MOLLUSCS
ILLUMINA MISEQ
ADS &gt
Automated DNA Sequencer
LABORATORY
AMD/AU
AMD
CEOS
spellingShingle oceans
biota
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/INVERTEBRATES &gt
MOLLUSKS
ROTIFERS
SEGMENTED WORMS (ANNELIDS)
ARTHROPODS
ECHINODERMS
CNIDARIANS
BIOSPHERE &gt
ECOSYSTEMS &gt
MARINE ECOSYSTEMS &gt
BENTHIC
ENVIRONMENTAL DNA
DNA METABARCODING
CYTOCHROME C OXIDASE SUBUNIT I (COI)
METAZOAN
NEMATODES
CNIDARIA
CHORDATES
ANNELIDS
MOLLUSCS
ILLUMINA MISEQ
ADS &gt
Automated DNA Sequencer
LABORATORY
AMD/AU
AMD
CEOS
Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
topic_facet oceans
biota
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/INVERTEBRATES &gt
MOLLUSKS
ROTIFERS
SEGMENTED WORMS (ANNELIDS)
ARTHROPODS
ECHINODERMS
CNIDARIANS
BIOSPHERE &gt
ECOSYSTEMS &gt
MARINE ECOSYSTEMS &gt
BENTHIC
ENVIRONMENTAL DNA
DNA METABARCODING
CYTOCHROME C OXIDASE SUBUNIT I (COI)
METAZOAN
NEMATODES
CNIDARIA
CHORDATES
ANNELIDS
MOLLUSCS
ILLUMINA MISEQ
ADS &gt
Automated DNA Sequencer
LABORATORY
AMD/AU
AMD
CEOS
description Progress Code: completed Statement: Only a small proportion of DNA sequences were assigned to the target taxa (multicellular animals, or metazoa). Samples that yielded less than 1000 metazoan DNA sequence reads are unlikely to provide sufficient DNA sequence depth to properly characterise metazoan diversity in those samples, and were excluded. Non-invasive, “capture-free” approaches like eDNA also raise the question: how do we know an organism detected with eDNA is really there? The issue is discussed in the final paragraph of the article. Purpose To explore the potential of environmental DNA (eDNA) as a metazoan biodiversity monitoring tool for Antarctic benthic ecosystems. Specifically: (1) Are there differences between sediment and water eDNA samples in terms of (a) number of reads assigned to metazoans, non-metazoans, and unclassified, (b) the number of metazoan species detected, (c) metazoan community composition? (2) Does eDNA-based species richness decrease with sediment depth, similar to trends observed in morphology-based studies? (3) Do environmental parameters (e.g., depth, distance to open ocean) influence community composition in water eDNA? Our aim was to compare water and sediment as sources of environmental DNA (eDNA) to better characterise Antarctic benthic communities and further develop practical approaches for DNA-based biodiversity assessment in remote environments. We used a cytochrome c oxidase subunit I (COI) metabarcoding approach to characterise metazoan communities in 26 nearshore sites across 12 locations (including Ellis Fjord, Warriner Channel, Hawker Channel, Abatus Bay, Powell Point, Shirokaya Bay, and Weddell Arm) in the Vestfold Hills (East Antarctica) based on DNA extracted from either sediment cores or filtered seawater. We detected a total of 99 metazoan species from 12 phyla (including nematodes, cnidaria, echinoderms, chordates, arthropods, annelids, rotifers and molluscs) across 26 sites, with similar numbers of species detected in sediment and water eDNA samples. ...
author2 AADC (owner)
AADC, DATA OFFICER (distributor)
AADC, DATA OFFICER (custodian)
AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith)
Australian Antarctic Data Centre (publisher)
Australian Antarctic Division (sponsor)
CLARKE, LAURENCE (collaborator)
CLARKE, LAURENCE (hasPrincipalInvestigator)
CLARKE, LAURENCE (author)
Clarke, L., Suter, L., Polanowski, A., Deagle, B., Stark, J. and Johnstone, G.J. (originator)
DEAGLE, BRUCE (hasPrincipalInvestigator)
JOHNSTONE, GLENN JAMES (collaborator)
JOHNSTONE, GLENN JAMES (hasPrincipalInvestigator)
POLANOWSKI, ANDREA (hasPrincipalInvestigator)
STARK, JONNY (hasPrincipalInvestigator)
SUTER, LEONIE (collaborator)
SUTER, LEONIE (hasPrincipalInvestigator)
format Dataset
title Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
title_short Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
title_full Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
title_fullStr Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
title_full_unstemmed Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
title_sort environmental dna metabarcoding for monitoring metazoan biodiversity in antarctic nearshore ecosystems
publisher Australian Ocean Data Network
url https://researchdata.edu.au/environmental-dna-metabarcoding-nearshore-ecosystems/2817258
op_coverage Spatial: westlimit=77.88451; southlimit=-68.63487; eastlimit=78.39757; northlimit=-68.42426
Spatial: uplimit=39; downlimit=3.6
Temporal: From 2019-11-13 to 2019-12-14
genre Antarc*
Antarctic
Antarctica
East Antarctica
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
op_source AU/AADC > Australian Antarctic Data Centre, Australia
op_relation https://researchdata.edu.au/environmental-dna-metabarcoding-nearshore-ecosystems/2817258
AAS_5097_DAP_nearshore_benthic_DNA_metabarcoding
_version_ 1810490068612153344