Oehlenschläger, J. Seafood: Nutritional benefits and risk aspects. Int. J. Vitam. Nutr. Res. 82, 168–176 (2012).
Google Scholar
McManus, A. & Newton, W. Seafood, Nutrition and Human Health: A Synopsis of the Nutritional Benefits of Consuming Seafood (2011).
Rimm, E. B. et al. Seafood long-chain n-3 polyunsaturated fatty acids and cardiovascular disease: A science advisory from the American Heart Association. Circulation 138, e35–e47 (2018).
Google Scholar
Ouellet, V., Marois, J., Weisnagel, S. J. & Jacques, H. Dietary cod protein improves insulin sensitivity in insulin-resistant men and women: A randomized controlled trial. Diabet. Care 30, 2816–2821 (2007).
Google Scholar
Rudkowska, I. et al. Fish nutrients decrease expression levels of tumor necrosis factor-α in cultured human macrophages. Physiol. Genom. 40, 189–194 (2010).
Google Scholar
Ait-Yahia, D. et al. Dietary fish protein lowers blood pressure and alters tissue polyunsaturated fatty acid composition in spontaneously hypertensive rats. Nutrition 19, 342–346 (2003).
Google Scholar
Chen, P. Y. et al. Investigating seafood substitution problems and consequences in Taiwan using molecular barcoding and deep microbiome profiling. Sci. Rep. 10, 21997 (2020).
Google Scholar
Browne, H. P., Neville, B. A., Forster, S. C. & Lawley, T. D. Transmission of the gut microbiota: Spreading of health. Nat. Rev. Microbiol. 15, 531–543 (2017).
Google Scholar
Nawa, Y., Hatz, C. & Blum, J. Sushi delights and parasites: The risk of fishborne and foodborne parasitic zoonoses in Asia. Clini. Infect. Dis. 41, 1297–1303 (2005).
Google Scholar
USFDA. Fish and Fishery Products Hazards and Controls Guidance.
Alegria, S. J. C. et al. Assessment of the microbiological quality and safety in Takeaway Sushi Meals in Portugal. Port. J. Public Health 40, 69–80 (2022).
Google Scholar
Konopka, A. What is microbial community ecology?. ISME J. 3, 1223–1230 (2009).
Google Scholar
Hou, K. et al. Microbiota in health and diseases. Signal Transduct. Target Ther. 7, 135 (2022).
Google Scholar
Nam, N. N., Do, H. D. K., Loan Trinh, K. T. & Lee, N. Y. Metagenomics: An effective approach for exploring microbial diversity and functions. Foods 12, 66 (2023).
Google Scholar
Tseng, C.-H. & Tang, S.-L. Marine microbial metagenomics: From individual to the environment. Int. J. Mol. Sci. 15, 8878–8892 (2014).
Google Scholar
Tully, B. J., Graham, E. D. & Heidelberg, J. F. The reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans. Sci. Data 5, 170203 (2018).
Google Scholar
Pratte, Z. A., Besson, M., Hollman, R. D. & Stewart, F. J. The gills of reef fish support a distinct microbiome influenced by host-specific factors. Appl. Environ. Microbiol. 84, 66 (2018).
Google Scholar
Hebert, P. D., Cywinska, A., Ball, S. L. & Dewaard, J. R. Biological identifications through DNA barcodes. Proc. R. Soc. Lond. Ser. B Biol. Sci. 270, 313–321 (2003).
Google Scholar
Kress, W. J. & Erickson, D. L. DNA barcodes: methods and protocols. in DNA Barcodes 3–8 (Springer, 2012).
Xia, Y. et al. COI is better than 16S rRNA for DNA barcoding Asiatic salamanders (Amphibia: Caudata: Hynobiidae). Mol. Ecol. Resour. 12, 48–56 (2012).
Google Scholar
Berg, G. et al. Microbiome definition re-visited: Old concepts and new challenges. Microbiome 8, 1–22 (2020).
Ratnasingham, S. & Hebert, P.D.N. BARCODING: bold: The Barcode of Life Data System (http://www.barcodinglife.org). Molecular Ecology Notes 7, 355–364 (2007).
Ratnasingham, S. & Hebert, P. D. N. A DNA-based registry for all animal species: The Barcode Index Number (BIN) system. PLoS ONE 8, e66213 (2013).
Google Scholar
Anagnostopoulos, D. A., Parlapani, F. F. & Boziaris, I. S. The evolution of knowledge on seafood spoilage microbiota from the 20th to the 21st century: Have we finished or just begun?. Trends Food Sci. Technol. 120, 236–247 (2022).
Google Scholar
Van de Peer, Y. A quantitative map of nucleotide substitution rates in bacterial rRNA. Nucleic Acids Res. 24, 3381–3391 (1996).
Google Scholar
Klindworth, A. et al. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 41, e1–e1 (2013).
Google Scholar
Magoč, T. & Salzberg, S. L. FLASH: Fast length adjustment of short reads to improve genome assemblies. Bioinformatics 27, 2957–2963 (2011).
Google Scholar
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C. & Knight, R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27, 2194–2200 (2011).
Google Scholar
Edgar, R. C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 10, 996–998 (2013).
Google Scholar
Morgan, X. C. & Huttenhower, C. A. Chapter 12: Human microbiome analysis. PLoS Comput. Biol. 8, e1002808 (2012).
Google Scholar
Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007).
Google Scholar
Almasaudi, S. B. Acinetobacter spp. as nosocomial pathogens: Epidemiology and resistance features. Saudi J. Biol. Sci. 25, 586–596 (2018).
Google Scholar
Martinez, V., Matabang, M. A., Miller, D., Aggarwal, R. & LaFortune, A. First case report on Empedobacter falsenii bacteremia. IDCases 33, e01814 (2023).
Google Scholar
Lin, M., Zhang, C., Gibson, K. & Rikihisa, Y. Analysis of complete genome sequence of Neorickettsia risticii: Causative agent of Potomac horse fever. Nucleic Acids Res, 37, 6076–6091 (2009).
Google Scholar
Buyukcam, A. et al. Clinical and microbiological characteristics of Pantoea agglomerans infection in children. J. Infect. Public Health 11, 304–309 (2018).
Google Scholar
Skane, A. et al. Chitinolytic enzymes contribute to the pathogenicity of Aliivibrio salmonicida LFI1238 in the invasive phase of cold-water vibriosis. BMC Microbiol. 22, 194 (2022).
Google Scholar
Crump, E. M., Perry, M. B., Clouthier, S. C. & Kay, W. W. Antigenic characterization of the fish pathogen Flavobacterium psychrophilum. Appl. Environ. Microbiol. 67, 750–759 (2001).
Google Scholar
Riley, M. et al. Genomics of an extreme psychrophile, Psychromonas ingrahamii. BMC Genomics 9, 210 (2008).
Google Scholar
Moeller, A. H. et al. Cospeciation of gut microbiota with hominids. Science 353, 380–382 (2016).
Google Scholar
Urbanczyk, H., Ast, J. C. & Dunlap, P. V. Phylogeny, genomics, and symbiosis of Photobacterium. FEMS Microbiol. Rev. 35, 324–342 (2011).
Google Scholar
Jerome, M., Mace, S., Dousset, X., Pot, B. & Joffraud, J. J. Genetic diversity analysis of isolates belonging to the Photobacterium phosphoreum species group collected from salmon products using AFLP fingerprinting. Int. J. Food. Microbiol. 217, 101–109 (2016).
Google Scholar
Kuuliala, L. et al. Microbiological, chemical and sensory spoilage analysis of raw Atlantic cod (Gadus morhua) stored under modified atmospheres. Food Microbiol. 70, 232–244 (2018).
Google Scholar
Tsoukalas, D., Hoel, S., Lerfall, J. & Jakobsen, A. N. Photobacterium predominate the microbial communities of muscle of European plaice (Pleuronectes platessa) caught in the Norwegian sea independent of skin and gills microbiota, fishing season, and storage conditions. Int. J. Food Microbiol. 397, 110222 (2023).
Google Scholar
Xing, C.-F. et al. Diet supplementation of Pediococcus pentosaceus in cobia (Rachycentron canadum) enhances growth rate, respiratory burst and resistance against photobacteriosis. Fish Shellfish Immunol. 35, 1122–1128 (2013).
Google Scholar
Kanki, M., Yoda, T., Ishibashi, M. & Tsukamoto, T. Photobacterium phosphoreum caused a histamine fish poisoning incident. Int. J. Food Microbiol. 92, 79–87 (2004).
Google Scholar
Dalgaard, P., Mejlholm, O., Christiansen, T. & Huss, H. H. Importance of Photobacterium phosphoreum in relation to spoilage of modified atmosphere-packed fish products. Lett. Appl. Microbiol. 24, 373–378 (1997).
Google Scholar

AloJapan.com