DNA analyzes of feces follow the rehabilitation of a free-living beluga


  • Mann, J. Behavioral sampling methods for cetaceans: a review and critique. Mar. Mammal Sci. 15102–122 (1999).

    Google Scholar article

  • Pompom, F. et al. Who Eats What: Assessing Diet Using Next-Generation Sequencing. Mol. School. https://doi.org/10.1111/j.1365-294X.2011.05403.x (2012).

    Google Scholar article

  • Deagle, BE et al. Counting with DNA in metabarcoding studies: how to convert sequence reads into food data?. Mol. School. 28391–406 (2019).

    Google Scholar article

  • Bay, ET et al. DNA metabarcoding for diet analysis and biodiversity: a case study using the endangered Australian sea lion (Neophoca cinerea). School. Evol. 75435–5453 (2017).

    Google Scholar article

  • Brassea-Pérez, E., Schramm, Y., Heckel, G., Chong-Robles, J. & Lago-Lestón, A. Metabarcoding analysis of the diet of Pacific harbor seals in Mexico. Mar. Biol. 1661–14 (2019).

    Google Scholar article

  • Ford, MJ et al. Estimate of a killer whale (Orcinus orc) population diet using DNA sequencing analysis of feces. PLOS ONE 11e0144956 (2016).

    Google Scholar article

  • Thomas, AC, Deagle, BE, Eveson, JP, Harsch, CH & Trites, AW Quantitative DNA Metabarcoding: Improving Proportional Species Biomass Estimates Using Correction Factors Derived from Control Material. Mol. School. Resour. 16714–726 (2016).

    CAS Google Scholar Article

  • Deagle, BE, Chiaradia, A., Mcinnes, J. & Jarman, SN Pyrosequencing of fecal DNA to determine the diet of little penguins: what goes in is what comes out? https://doi.org/10.1007/s10592-010-0096-6.

  • Ando, ​​H. et al. Methodological trends and perspectives of animal feeding studies by non-invasive metabarcoding of faecal DNA. Approximately. DNA 2391–406 (2020).

    Google Scholar article

  • Günther, B., Fromentin, J., Metral, L. & Arnaud-haond, S. Metabarcoding confirms the opportunistic foraging behavior of Atlantic bluefin tuna and reveals the importance of gelatinous prey. PeerJ 9, e11757. https://doi.org/10.7717/peerj.11757 (2021).

    Google Scholar article

  • Simon, M., Hanson, MB, Murrey, L., Tougaard, J. & Ugarte, F. From Captivity to the Wild and Back: An Attempt to Free Keiko the Killer Whale. Mar. Mammal Sci. 25693–705 (2009).

    Google Scholar article

  • Moore, M. et al. Rehabilitation and release of marine mammals in the United States: risks and benefits. Mar. Mammal Sci. 23731–750 (2007).

    Google Scholar article

  • Leray, M. et al. A novel set of versatile primers targeting a short fragment of the mitochondrial COI region to metabarcode metazoan diversity: application to characterize the gut content of coral reef fish. Before. zool. ten1–14 (2013).

    Google Scholar article

  • Geller, J., Meyer, C. & Parker, M. Redesign of PCR primers for mitochondrial cytochrome c oxidase subunit I for marine invertebrates and application in biotic investigations of all taxa. Mol. School. Resour. 13(5), 851–861. https://doi.org/10.1111/1755-0998.12138 (2013).

    CAS Google Scholar Article

  • Blaxter, ML et al. A molecular evolutionary framework for the phylum Nematoda. Nature https://doi.org/10.1038/32160 (1998).

    Google Scholar article

  • Sinniger, F. et al. Global analysis of sedimentary DNA reveals major gaps in taxonomic knowledge of deep-sea benthos. Before. Mars Science. 31–14 (2016).

    Google Scholar article

  • Brandt, Mich. et al. Bioinformatics pipelines combining denoising and clustering tools enable more comprehensive prokaryotic and eukaryotic metabarcoding. Mol. School. Resour. 21(6), 1904-1921 (2021).

    Google Scholar article

  • Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal https://doi.org/10.14806/ej.17.1.200 (2011).

    Google Scholar article

  • Callahan, BJ et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13581-583 (2016).

    CAS Google Scholar Article

  • Antich, A., Palacin, C., Wangensteen, OS & Turon, X. Denoise or Bundle, That’s Not the Question: Optimizing Pipelines for COI Metabarcoding and Metaphylogeography. BMC Bioinform. 221–25 (2021).

    Google Scholar article

  • Mahé, F., Rognes, T., Quince, C., de Vargas, C. & Dunthorn, M. Swarmv2: Highly Scalable, High-Resolution Amplicon Clustering. PeerJ 20151–12 (2015).

    Google Scholar

  • Quast, C. et al. The SILVA Ribosomal RNA Gene Database Project: Improving Data Processing and Web Tools. Nucleic Acids Res. https://doi.org/10.1093/nar/gks1219 (2013).

    Google Scholar article

  • Machida, RJ, Leray, M., Ho, S.-L. & Knowlton, N. Reference metazoan mitochondrial gene sequence datasets for taxonomic assignment of environmental samples. Science. Data 4170027 (2017).

    CAS Google Scholar Article

  • Wang, Q., Garrity, GM, Tiedje, JM & Cole, JR Naive Bayesian Classifier for Rapid rRNA Sequence Assignment.pdf. Appl. Approximately. Microbiol. 735261–5267 (2007).

    ADS CAS Article Google Scholar

  • Davis, NM, Di Proctor, M., Holmes, SP, Relman, DA, and Callahan, BJ Simple statistical identification and elimination of contaminant sequences in marker gene and metagenomics data. Microbiome https://doi.org/10.1186/s40168-018-0605-2 (2018).

    Google Scholar article

  • Wangensteen, OS, Palacín, C., Guardiola, M. & Turon, X. DNA metabarcoding of hard-bottom littoral communities: high diversity and gaps in the database revealed by two molecular markers. PeerJ 20181–30 (2018).

    Google Scholar

  • Schnell, IB, Bohmann, K. & Gilbert, MTP Label jumps are illuminated – reducing sequence-sample identification errors in metabarcoding studies. Mol. School. Resour. 151289-1303 (2015).

    CAS Google Scholar Article

  • Song, X et al. A new deep-sea hydroid (Cnidaria:Hydrozoa) from the Bering Sea basin reveals high genetic relevance for Arctic and adjacent shallow-sea species. Biol Fleece. 39461–471 (2016).

    Google Scholar article

  • Froslev, TG et al. The post-clustering DNA amplicon data curation algorithm yields reliable estimates of biodiversity. Nat. Commmon. 81–11 (2017).

    Google Scholar article

  • Vacquié-Garcia, J., Lydersen, C., Ims, RA & Kovacs, KM Habitats and movement patterns of white whales Delphinapterus leucas in Svalbard, Norway, in a changing climate. Dev. School. 61–12 (2018).

    Google Scholar article

  • Kastelein, RA, Nieuwstraten, SH & Verstegen, MWA Passage time of carmine red dye through the digestive tract. In Harbor Porpoise Biology 235–245 (1997).

  • Lesage, V., Lair, S., Turgeon, S. & Beland, P. Diet of belugas in the St. Lawrence Estuary (Delphinapterus leucas) in a changing ecosystem. Can. Champ-Nat. 13421–35 (2020).

    Google Scholar article

  • Bluhm, BA and Gradinger, R. Regional variability in food availability for arctic marine mammals. School. Appl. 18S77–S96 (2008).

    Google Scholar article

  • Quakenbush, LT et al. Beluga Food, Delphinapterus leucasin Alaska from stomach contents, March-November. Tue. Fish. Round. 7770–84 (2015).

    Google Scholar article

  • Choy, ES et al. Variation in beluga whale diet in response to changes in prey availability: an overview of changes in the Beaufort Sea ecosystem. Tue. School. Program. Ser. 647195-210 (2020).

    ADS CAS Article Google Scholar

  • Mychek-Londer, JG, Chaganti, SR & Heath, DD Metabarcoding of native and invasive species in the stomach contents of Great Lakes fish. PLOS ONE 151–22 (2020).

    Google Scholar article

  • Nedreaas, K. Food and feeding habits of young blackspots, Pollachius virens (L.), on the west coast of Norway. Fisk. Skr. Ser. Havundersokelser 18263–301 (1987).

    Google Scholar

  • Højgaard, DP Food nematodes and saithe parasites, Pollachius virens (L.), of the Faroe Islands. Sarsia 84473–478 (1999).

    Google Scholar article

  • Ekbaum, E. Notes on the occurrence of Acanthocephala in Pacific fishes: I. Echinorhynchus gadi (Zoega) Müller in salmon and E. lageniformis sp. Nov and Corynosoma strumosum (Rudolphi) in two species of flounder. Parasitology 30267–274 (1938).

    Google Scholar article

  • Baptista-Fernandes, T. et al. Human gastric hyperinfection by Anisakis simplex: A severe and unusual presentation and a brief review. Int. J. Infect. Say. 6438–41 (2017).

    Google Scholar article

  • Hubert, B., Bacou, J. & Belveze, H. Epidemiology of human anisakiasis: Incidence and sources in France. A m. J. Too much. Med. Hyg. 40301–303 (1989).

    CAS Google Scholar Article

  • Hays, R., Measures, LN & Huot, J. Capelin (Mallotus villosus) and herring (Clupea harengus) as paratenic hosts of Anisakis simplex, a parasite of beluga (Delphinapterus leucas) in the St. Lawrence estuary. Can. J. Zool. 781411–1417 (1998).

    Google Scholar article

  • Yanong, RPE Nematode (roundworm) infections in fish Flight. 1, 1–9 (2002).

  • Jauniaux, T. et al. Post-mortem findings and causes of death of harbor porpoises (Phocoena phocoena) stranded from 1990 to 2000 along the coasts of Belgium and northern France. J. Compar. Pathol. 126243-253 (2002).

    CAS Google Scholar Article

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