2017
DOI: 10.7717/peerj.3977
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Metabarcoding analysis of the stomach contents of the Antarctic Toothfish (Dissostichus mawsoni) collected in the Antarctic Ocean

Abstract: Stomach contents of the Antarctic toothfish, Dissostichus mawsoni, collected from subareas 58.4 and 88.3, were analyzed using next generation sequencing (NGS) technology. After processing the raw reads generated by the MiSeq platform, a total of 131,233 contigs (130 operational taxonomic units [OTUs]) were obtained from 163 individuals in subarea 58.4, and 75,961 contigs (105 OTUs) from 164 fish in subarea 88.3. At 98% sequence identity, species names were assigned to most OTUs in this study, indicating the qu… Show more

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Cited by 37 publications
(27 citation statements)
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“…The value of the BOLD database is likely to increase even further with the development of metabarcoding studies. Recent approaches include for example the detection of tropical sharks (Bakker et al, 2017), large-scale larval fish ecology through efficient identification of thousands of larvae (Kimmerling et al, 2018), as well as Antarctic studies characterizing notothenioid fish assemblages (Cowart et al, 2017) and toothfish diet (Yoon et al, 2017). All these examples are fully dependent on a high quality reference database to match metabarcoding sequences, as the lack of identification can lead to reduced or biased results and interpretations.…”
Section: Extending and Using The Dna Barcode Library For Specimen Idementioning
confidence: 99%
“…The value of the BOLD database is likely to increase even further with the development of metabarcoding studies. Recent approaches include for example the detection of tropical sharks (Bakker et al, 2017), large-scale larval fish ecology through efficient identification of thousands of larvae (Kimmerling et al, 2018), as well as Antarctic studies characterizing notothenioid fish assemblages (Cowart et al, 2017) and toothfish diet (Yoon et al, 2017). All these examples are fully dependent on a high quality reference database to match metabarcoding sequences, as the lack of identification can lead to reduced or biased results and interpretations.…”
Section: Extending and Using The Dna Barcode Library For Specimen Idementioning
confidence: 99%
“…(2019) compared the results of specific qPCR assays with bottom trawling in the Baltic Sea to detect G. morhua , Clupea harengus (Atlantic herring), Platichthys flesus (European flounder), Pleuronectes platessa (European plaice), Scomber scombrus (Atlantic mackerel), and Anguilla anguilla (European eel). Despite these recent and very promising advances, uncertainties and limitations associated with eDNA metabarcoding surveys that could lead to misinterpretation of the results must be investigated further, notably in different environments (Cristescu & Hebert, 2018; Darling & Mahon, 2011; Goldberg et al., 2016; Li et al., 2019; Seymour et al., 2018; Shaw et al., 2016; Taberlet, Coissac, Pompanon, Brochmann, & Willerslev, 2012; Yoon et al., 2017). In particular, a better understanding of the influence of environmental variables on eDNA production and persistence in the environment might facilitate comprehensive application of the method for conservation and management (Laporte et al, 2020;Stewart, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Leray & Knowlton, 2015;Pearman, Anlauf, Irigoien, & Carvalho, 2016) and dietary samples (see e.g. Albaina, Aguirre, Abad, Santos, & Estonba, 2016;Yoon et al, 2017). Since then, DNA metabarcoding has been increasingly used worldwide in marine samples, as is demonstrated by projects such as the Genetic tools for Ecosystem health Assessment in the North Sea region (GEANS) and the Global ARMS Program with Autonomous Reef Monitoring Structures.…”
Section: Introductionmentioning
confidence: 99%