Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers

Progress Code: completed Purpose The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. In March 2018, 23 environmental DNA (eDNA)...

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Bibliographic Details
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
PCR
AMD
Online Access:https://researchdata.edu.au/voyage-4-aurora-metabarcoding-markers/2817195
id ftands:oai:ands.org.au::2817195
record_format openpolar
spelling ftands:oai:ands.org.au::2817195 2023-10-09T21:50:02+02:00 Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers Spatial: westlimit=147.3859956; southlimit=-54.7236529; eastlimit=158.9606394; northlimit=-42.9491591 Temporal: From 2018-03-09 to 2018-03-23 https://researchdata.edu.au/voyage-4-aurora-metabarcoding-markers/2817195 unknown Australian Ocean Data Network https://researchdata.edu.au/voyage-4-aurora-metabarcoding-markers/2817195 AAS_4556_group_specific_eDNA_V4_2018 Dataset DOI AU/AADC > Australian Antarctic Data Centre, Australia biota oceans EARTH SCIENCE &gt BIOLOGICAL CLASSIFICATION &gt ANIMALS/VERTEBRATES &gt FISH ANIMALS/INVERTEBRATES &gt ARTHROPODS &gt CRUSTACEANS PCR MISEQ ENVIRONMENTAL DNA METABARCODING BIODIVERSITY MONITORING ADS &gt Automated DNA Sequencer R/V AA &gt R/V Aurora Australis LABORATORY AMD/AU AMD CEOS OCEAN &gt SOUTHERN OCEAN &gt MACQUARIE ISLAND SOUTHERN OCEAN GEOGRAPHIC REGION &gt POLAR dataset ftands 2023-09-18T22:43:01Z Progress Code: completed Purpose The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. In March 2018, 23 environmental DNA (eDNA) samples (2 L of filtered seawater) were collected between Hobart, Tasmania and subantarctic Macquarie Island. These samples were processed using six different genetic metabarcoding markers targeting different taxonomic groups within the metazoan clade: A broad cytochrome c oxidase subunit I (COI) marker targeting all metazoans, and five different 16S markers targeting fish, cephalopods and crustaceans (one degenerate marker), fish (two markers of different lengths), cephalopods (one marker) and crustaceans (one marker). The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. The data and methods are described in the word file "V4 2018 eDNA group specific markers.docx", results are summarised in the excel file "Marker.detection.xlsx" and additional sample information is in the excel files "2018_11_07_eDNA-sample-info.xls" and "sample.map.csv". Each genetic marker used in this study has its own folder, containing the raw FASTQ sequencing data, the processed FASTA sequencing data, the bioinformatics processing pipeline, the zOTU fasta file, BLAST output, MEGAN output and curated zOTU table. For further explanations please refer to the word file "V4 2018 eDNA group specific markers.docx". Dataset aurora australis Macquarie Island Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Southern Ocean
institution Open Polar
collection Research Data Australia (Australian National Data Service - ANDS)
op_collection_id ftands
language unknown
topic biota
oceans
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/VERTEBRATES &gt
FISH
ANIMALS/INVERTEBRATES &gt
ARTHROPODS &gt
CRUSTACEANS
PCR
MISEQ
ENVIRONMENTAL DNA
METABARCODING
BIODIVERSITY MONITORING
ADS &gt
Automated DNA Sequencer
R/V AA &gt
R/V Aurora Australis
LABORATORY
AMD/AU
AMD
CEOS
OCEAN &gt
SOUTHERN OCEAN &gt
MACQUARIE ISLAND
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
spellingShingle biota
oceans
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/VERTEBRATES &gt
FISH
ANIMALS/INVERTEBRATES &gt
ARTHROPODS &gt
CRUSTACEANS
PCR
MISEQ
ENVIRONMENTAL DNA
METABARCODING
BIODIVERSITY MONITORING
ADS &gt
Automated DNA Sequencer
R/V AA &gt
R/V Aurora Australis
LABORATORY
AMD/AU
AMD
CEOS
OCEAN &gt
SOUTHERN OCEAN &gt
MACQUARIE ISLAND
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
topic_facet biota
oceans
EARTH SCIENCE &gt
BIOLOGICAL CLASSIFICATION &gt
ANIMALS/VERTEBRATES &gt
FISH
ANIMALS/INVERTEBRATES &gt
ARTHROPODS &gt
CRUSTACEANS
PCR
MISEQ
ENVIRONMENTAL DNA
METABARCODING
BIODIVERSITY MONITORING
ADS &gt
Automated DNA Sequencer
R/V AA &gt
R/V Aurora Australis
LABORATORY
AMD/AU
AMD
CEOS
OCEAN &gt
SOUTHERN OCEAN &gt
MACQUARIE ISLAND
SOUTHERN OCEAN
GEOGRAPHIC REGION &gt
POLAR
description Progress Code: completed Purpose The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. In March 2018, 23 environmental DNA (eDNA) samples (2 L of filtered seawater) were collected between Hobart, Tasmania and subantarctic Macquarie Island. These samples were processed using six different genetic metabarcoding markers targeting different taxonomic groups within the metazoan clade: A broad cytochrome c oxidase subunit I (COI) marker targeting all metazoans, and five different 16S markers targeting fish, cephalopods and crustaceans (one degenerate marker), fish (two markers of different lengths), cephalopods (one marker) and crustaceans (one marker). The aim of this study was to identify an ideal set of molecular markers to identify as many metazoan species as possible from small environmental samples, with a particular focus on vertebrates, crustaceans and cephalopods. The data and methods are described in the word file "V4 2018 eDNA group specific markers.docx", results are summarised in the excel file "Marker.detection.xlsx" and additional sample information is in the excel files "2018_11_07_eDNA-sample-info.xls" and "sample.map.csv". Each genetic marker used in this study has its own folder, containing the raw FASTQ sequencing data, the processed FASTA sequencing data, the bioinformatics processing pipeline, the zOTU fasta file, BLAST output, MEGAN output and curated zOTU table. For further explanations please refer to the word file "V4 2018 eDNA group specific markers.docx".
format Dataset
title Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
title_short Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
title_full Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
title_fullStr Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
title_full_unstemmed Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
title_sort voyage 4 of the aurora australis, 2018 environmental dna samples analysed with group specific metabarcoding markers
publisher Australian Ocean Data Network
url https://researchdata.edu.au/voyage-4-aurora-metabarcoding-markers/2817195
op_coverage Spatial: westlimit=147.3859956; southlimit=-54.7236529; eastlimit=158.9606394; northlimit=-42.9491591
Temporal: From 2018-03-09 to 2018-03-23
geographic Southern Ocean
geographic_facet Southern Ocean
genre aurora australis
Macquarie Island
Southern Ocean
genre_facet aurora australis
Macquarie Island
Southern Ocean
op_source AU/AADC > Australian Antarctic Data Centre, Australia
op_relation https://researchdata.edu.au/voyage-4-aurora-metabarcoding-markers/2817195
AAS_4556_group_specific_eDNA_V4_2018
Dataset DOI
_version_ 1779313095575863296