IJMS_2025v15n6

International Journal of Marine Science, 2025, Vol.15, No.6, 303-312 http://www.aquapublisher.com/index.php/ijms 312 Okon E., Oyesiji A., Okeleye D., Kanonuhwa M., Khalifa N., Eissa E., Mathew R., Eissa M., Alqahtani M., and Abdelnour S., 2024, The escalating threat of climate change-driven diseases in fish: evidence from a global perspective - a literature review, Environmental Research, 263: 120184. https://doi.org/10.1016/j.envres.2024.120184 Qian J., Qian L., Pu N., Bi Y., Wilhelms A., and Norra S., 2024, An intelligent early warning system for harmful algal blooms: harnessing the power of big data and deep learning, Environmental Science and Technology, 58(35): 15607-15618. https://doi.org/10.1021/acs.est.3c03906 Qu B., Zhao H., Chen Y., and Yu X., 2022, Effects of low-light stress on aquacultural water quality and disease resistance in Nile tilapia, PLoS ONE, 17(5): e0268114. https://doi.org/10.1371/journal.pone.0268114 Rahman M., Ashrafudoulla M., Akter S., Park S., and Ha S., 2023, Probiotics and biofilm interaction in aquaculture for sustainable food security: a review and bibliometric analysis, Critical Reviews in Food Science and Nutrition, 64: 12319-12335. https://doi.org/10.1080/10408398.2023.2249114 Rairat T., Kitsanayanyong L., Keetanon A., Phansawat P., Wimanhaemin P., Chongprachavat N., Suanploy W., Chow E., and Chuchird N., 2024, Effects of monoglycerides of short and medium chain fatty acids and cinnamaldehyde blend on the growth survival immune responses and tolerance to hypoxic stress of Pacific white shrimp (Litopenaeus vannamei), PLOS ONE, 19(8): e0308559. https://doi.org/10.1371/journal.pone.0308559 Reverter M., Sarter S., Caruso D., Avarre J., Combe M., Pepey E., Pouyaud L., Vega-Heredía S., De Verdal H., and Gozlan R., 2020, Aquaculture at the crossroads of global warming and antimicrobial resistance, Nature Communications, 11(1): 1870. https://doi.org/10.1038/s41467-020-15735-6 Rosati S., Maiuro L., Lombardi S., Iaffaldano N., Di Iorio M., Cariglia M., Lopez F., Cofelice M., Tremonte P., and Sorrentino E., 2025, Integrated biotechnological strategies for the sustainability and quality of mediterranean sea bass (Dicentrarchus labrax) and Sea Bream (Sparus aurata), Foods, 14(6): 1020. https://doi.org/10.3390/foods14061020 Schar D., Zhao C., Wang Y., Larsson D., Gilbert M., and Van Boeckel T., 2021, Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia, Nature Communications, 12(1): 5384. https://doi.org/10.1038/s41467-021-25655-8 Visudtiphole V., Unagul P., Chaiyapechara S., Jangsutthivorawat W., Phromson M., Tala S., Deenarn P., Tobwor P., Yotbuntueng P., Jiemsup S., Yongkiettrakul S., Koichai L., and Wimuttisuk W., 2025, Effects of microbial-derived long-chain polyunsaturated fatty acids from Aurantiochytrium limacinum BCC52274 and Mortierella sp., on growth and immunity in Litopenaeus vannamei post-larvae, PLOS One, 20(7): e0329358. https://doi.org/10.1371/journal.pone.0329358 Wandana S., Adlin N., Satanwat P., Pungrasmi W., Kotcharoen W., Takeuchi Y., Watari T., Masashi H., and Takashi Y., 2024, Application of Biofloc-Down flow hanging sponge system to remove nitrogen components in recirculating zero water exchange aquaculture system, Bioresource Technology, 413: 131496. https://doi.org/10.1016/j.biortech.2024.131496 Wang B., Li Y., Zhou M., Han Y., Zhang M., Gao Z., Liu Z., Chen P., Du W., Zhang X., Feng X., and Liu B., 2023, Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence, Nature Communications, 14(1): 1341. https://doi.org/10.1038/s41467-023-36017-x Wang H.M., 2025, CRISPR-based genome editing in shrimp and its potential in aquaculture, International Journal of Aquaculture, 15(2): 45-56. https://doi.org/10.5376/ija.2025.15.0006 Wani S., Chesti A., Rehman S., Nautiyal V., Bhat I., and Ahmad I., 2025, Repurposing and reusing aquaculture wastes through a biosecure microfloc technology, Environmental Research, 2025: 121214 https://doi.org/10.1016/j.envres.2025.121214 Zeng D., Cao Z., and Neill D., 2020, Artificial intelligence–enabled public health surveillance-from local detection to global epidemic monitoring and control, Artificial Intelligence in Medicine, 2021:437-453. https://doi.org/10.1016/b978-0-12-821259-2.00022-3 Zhu Q., Li M., Lu W., Wang Y., Li X., and Cheng J., 2023, Transcriptomic modulation reveals the specific cellular response in chinese sea bass (Lateolabrax maculatus) gills under salinity change and alkalinity stress, International Journal of Molecular Sciences, 24(6): 5877. https://doi.org/10.3390/ijms24065877

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