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Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems
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. Please cite: Clarke LJ et al. (2021). Environmental DNA metabarcoding for monitoring metazoan biodiversity in Antarctic nearshore ecosystems. PeerJ, DOI: 10.7717/peerj.12458 This work was completed as part of the Davis Aerodrome Project (DAP).
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Voyage 4 of the Aurora Australis, 2018 environmental DNA samples analysed with group specific metabarcoding markers
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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".
Southern Ocean eDNA metabarcoding raw sequencing data, collected on the Aurora Australis 2019-2020
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On the return leg of the V1 2019 resupply voyage from Davis station to Hobart on the RSV Aurora Australis paired, open ocean environmental DNA (eDNA) samples were taken at 29 locations along the voyage. Sample names, sample coordinates as well as a range of environmental variables at each location are listed in file ‘V1 2019 Samples.xlsx’. Each sample pair consisted of one 2 L sample filtered through a 0.45 μm pore size filter, and one 12 L sample filtered through a 20 μm pore size filter. Filtering happened on board immediately after sampling. Filters of the 2 L samples were halved and stored in separate tubes, then immediately frozen at -80 ˚C. Filters of the 12 L samples were stored whole and also frozen at -80 ˚C. DNA of all samples was extracted at the specialised lab ‘eDNA frontiers’ located at Curtin University, WA using DNeasy Blood and Tissue Kits, and the extracted DNA sent back to the genetics lab at the Australian Antarctic Division (AAD). Several metabarcoding approaches were conducted to survey metazoan biodiversity present in these samples: - A marker targeting the mitochondrial gene cytochrome c oxidase I (COI) using metazoan specific primers (Forward primer mlCOIintF: GGWACWGGWTGAACWGTWTAYCCYCC; reverse primer jgHCO2198). This marker was used twice, using identical PCR conditions (95 °C for 10 min, a 16 cycle touchdown phase (62 °C -1 °C per cycle), followed by 25 cycles with an annealing temperature of 46 °C (total of 41 cycles), and a final extension at 72 °C for 5 min). : once using a two PCR step method, using MID tagged primers in the first round of PCR, and MID tagged Illumina sequencing adapters in the second round of PCR (second round PCR conditions using MID tagged Illumina sequencing adapters with this and all other markers listed below were: 95 °C for 10 min, 10 cycles of 95 °C for 30 sec, 55 °C for 30 sec and 72 °C for 45 sec, and a final extension at 72 °C for 5 min). Sequencing was done on an Illumina MiSeq sequencing machine located at the Menzies Institute in Hobart, Tasmania. Raw sequencing files as well as details of PCR reactions and MID tags for each sample are in folder ‘COI dual tagged’. The second method used a one round PCR with fusion tagged primers, conducted at Curtin University and sequenced there as well. Raw sequencing files as well as details of PCR reactions and MID tags for each sample are in folder ‘COI fusion tagged’. - A marker targeting the mitochondrial 16S rRNA gene, using fish specific primers (Forward primer Fish_F: GACGAGAAGACCCYRTGRAG; reverse primer Fish_R GACGAGAAGACCCYRTGRAG) with the following PCR conditions: 95 °C for 10 min, 45 cycles of 95 °C for 30 sec, 60 °C for 30 sec and 72 °C for 45 sec, and a final extension at 72 °C for 5 min. PCR were conducted in two steps as described above (first round PCR with MID tagged markers, second round PCR with MID tagged Illumina sequencing adapters). Sequencing was done on an Illumina MiSeq sequencing machine located at the Menzies Institute in Hobart, Tasmania. Raw sequencing files as well as details of PCR reactions and MID tags for each sample are in folder ‘Fish’. - A marker targeting the mitochondrial 16S rRNA gene, using mammal specific primers (Forward primer Mammal_F: CAATTTNGGTTGGGGTGA; reverse primer Mammal_R GGATTGCGCTGTTATCCCTA) with the following PCR conditions: 95 °C for 10 min, 45 cycles of 95 °C for 30 sec, 56 °C for 30 sec and 72 °C for 45 sec, and a final extension at 72 °C for 5 min. PCR were conducted in two steps as described above (first round PCR with MID tagged markers, second round PCR with MID tagged Illumina sequencing adapters). Sequencing was done on an Illumina MiSeq sequencing machine located at the Menzies Institute in Hobart, Tasmania. Raw sequencing files as well as details of PCR reactions and MID tags for each sample are in folder ‘Mammal’. - A marker targeting the mitochondrial 16S rRNA gene, using krill specific primers (Forward primer Crust_F: GTGACGATAAGACCCTATA; reverse primer
Sediment Fauna data from the antFOCE (Antarctic Free Ocean Carbon Enrichment) experiment at Casey Station
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Metadata record AAS_4127_antFOCE_SedimentFauna contains all data sets relating to the fauna sampled from marine sediments during the antFOCE experiment, including macrofauna, meiofauna, diatoms, microbes, as well as DNA sequencing conducted on some of these groups and the results of a sediment bioturbation study. Refer to antFOCE report section 4.4 for deployment, sampling and on-station analysis details. https://data.aad.gov.au/metadata/records/AAS_4127_antFOCE_Project4127 Background The antFOCE experimental system was deployed in O'Brien Bay, approximately 5 kilometres south of Casey station, East Antarctica, in the austral summer of 2014/15. Surface and sub-surface (in water below the sea ice) infrastructure allowed controlled manipulation of seawater pH levels (reduced by 0.4 pH units below ambient) in 2 chambers placed on the sea floor over natural benthic communities. Two control chambers (no pH manipulation) and two open plots (no chambers, no pH manipulation) were also sampled to compare to the pH manipulated (acidified) treatment chambers. Details of the antFOCE experiment can be found in the report – "antFOCE 2014/15 – Experimental System, Deployment, Sampling and Analysis". This report and a diagram indicating how the various antFOCE data sets relate to each other are available at: https://data.aad.gov.au/metadata/records/AAS_4127_antFOCE_Project4127
SCAR Retrospective Analysis of Antarctic Tracking Data
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We assembled tracking data from seabirds (n = 12 species) and marine mammals (n = 5 species), collected between 1991 and 2016, from across the Antarctic predator research community. See https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised and https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Filtered for the tracking data. Habitat selectivity modelling was applied to these tracking data in order to identify the environmental characteristics important to each species, and to produce circum-Antarctic predictions of important geographic space for each individual species. The individual species maps were then combined to identify regions important to our full suite of species. This approach enabled us to account for incomplete tracking coverage (i.e., colonies from which no animals have been tracked) and to produce an integrated and spatially explicit assessment of areas of ecological importance across the Southern Ocean. The data attached to this metadata record include the single-species maps for Adelie, emperor, king, macaroni, and royal penguins; Antarctic and white-chinned petrels; black-browed, grey-headed, light-mantled, sooty, and wandering albatross; humpback whales; Antarctic fur seal, southern elephant seals, and crabeater and Weddell seals. The data also include the integrated maps that incorporate all species (weighted by colony size, and unweighted). See the paper and its supplementary information for full details on the modelling process and discussion of the model outputs.
Important marine habitat off east Antarctica revealed by two decades of multi-species predator tracking
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From the abstract of the referenced paper: Satellite telemetry data are a key source of animal distribution information for marine ecosystem management and conservation activities. We used two decades of telemetry data from the East Antarctic sector of the Southern Ocean. Habitat utilization models for the spring/summer period were developed for six highly abundant, wide-ranging meso- and top-predator species: Adelie, Pygoscelis adeliae and emperor, Aptenodytes forsteri penguins, light-mantled albatross, Phoebetria palpebrata, Antarctic fur seals, Arctocephalus gazella, southern elephant seals, Mirounga leonina, and Weddell seals, Leptonychotes weddellii. The regional predictions from these models were combined to identify areas utilized by multiple species, and therefore likely to be of particular ecological significance. These areas were distributed across the longitudinal breadth of the East Antarctic sector, and were characterized by proximity to breeding colonies, both on the Antarctic continent and on subantarctic islands to the north, and by sea-ice dynamics, particularly locations of winter polynyas. These areas of important habitat were also congruent with many of the areas reported to be showing the strongest regional trends in sea ice seasonality. The results emphasize the importance of on-shore and sea-ice processes to Antarctic marine ecosystems. Our study provides ocean-basin-scale predictions of predator habitat utilization, an assessment of contemporary habitat use against which future changes can be assessed, and is of direct relevance to current conservation planning and spatial management efforts. The data files provided here comprise the model predictions of the preferred habitat for each of the six species listed above, as well as the overlap results obtained by combining these six sets of results. See the paper for methods used to generate the model predictions and to combine the individual species results. File names for individual species are of the form results_SPP_TYPE.asc, where SPP is one of "afs" (Antarctic fur seal), "ap" (Adelie penguin), "ep" (emperor penguin), "lma" (light-mantled albatross), "ses" (southern elephant seal), or "ws" (Weddell seal. TYPE is either "mean" (mean estimate of habitat preference) or "iqr" (inter-quartile range of uncertainty in the estimate; see paper for details). Data values for individual species results are percentiles of the study area, so that values of 90% or higher are pixels corresponding to the most important 10% of habitat for that species, values of 80% or greater are the top 20% of habitat, and so on. The overlap results files are named overlay_results_mean.asc and overlay_results_iqr.asc. Values in these files represent the average of the top four individual species results in a given pixel (see paper for details).
Euphausiid-specific metabarcoding data from eDNA samples collected on the TEMPO voyage
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This is a Euphausiid-specific metabarcoding dataset of Southern Ocean eDNA samples collected on the TEMPO voyage in 2021. We collected eDNA samples by filtering five litres of seawater in the East Antarctic Southern Ocean from the surface and seafloor as well as in and near krill swarms(n = 110). After DNA extraction, a Euphausiid-specific metabarcoding marker was used to determine the presence of different Southern Ocean krill species in each sample. Detailed methods are available in the following publication: Suter L et al. (2025) Monitoring Antarctic krill (Euphausia superba) distribution in the Southern Ocean: environmental DNA (eDNA) adds to the toolbox. Frontiers in Marine Science. The data provided here contains - raw paired end sequencing data in fastq format for each sample - R markdown code to process the raw data in order to identify unique sequences, and which sequences are contained in which samples - a tag file that identifies which multiplex-identifier (MID) tags were used in forward and reverse primers for each sample - a zOTU table that identifies which sequences were detected in each sample, and what taxonomy was associated with each sequence.
NZ-Australia Antarctic Ecosystems Voyage to the Ross Sea - Marine Mammal Data
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This metadata record is a parent for all data on Antarctic blue whales collected during the 2015 New Zealand-Australia Antarctic Ecosystems Voyage. Description of specific data sets can be found in the Voyage Science Plan and within child datasets.
A spatial reference system for coastal ice-free land in East Antarctica
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This dataset comprises a table and set of maps of all geographic sites of ice-free land along the East Antarctica coastline between longitudes 37°E and 160°E. Each geographic site comprises a discrete area of ice-free land and includes islands within 100 km of the coast and outcrops of ice free continental rock within 1 km of the coast. The geographic sites were identified in a geographic information system using polygons sourced from the AAT Coastline 2003 dataset produced by Geoscience Australia and the Australian Antarctic Division, and exposed rock polygons sourced from the Antarctic Digital Database version 4.0 produced for the Scientific Committee on Antarctic Research. The maps are grouped into sub-regions and regions, with multiple maps in most sub-regions. The maps were designed to be of a scale that could be used in the field to identify sites by their shape and location. This dataset has previously been used in the specific context of potential breeding habitat for Adelie penguins (doi:10.4225/15/5758F4EC91665) but has potential for broader use in a wide range of ecological and environmental studies. 2021-06-30 - an updated copy of the spatial reference system spreadsheet was uploaded. The update was only minor.