Effects of the photovoltaic fishery breeding model on intestinal microbiota structure and diversity in Litopenaeus vannamei

1. Jingwen, B. Integrating fishing and light to create a new model of industrial development. Solar Energy, 67 + 69 (2016).

2. Mengjiao, G. et al. Bacillus subtilis improves immunity and disease resistance in rabbits. Front. Immunol. 8, 354 (2017).

   Google Scholar 

3. Duo, H. Integration of fish and light to promote the transformation and upgrading of aquaculture. China Fish. News, 106–108 (2016).

4. Gilles, B. & Bail, P. Y. L. Does light have an influence on fish growth? Aquaculture 177, 129–152 (1999).

5. Blaxter, J. H. S. Visual thresholds and spectral sensitivity of herring larvae. J. Exp. Biol. 51, 39–53 (1968).

   Google Scholar 

6. Mcfarland, W. N. Light in the Sea-Correlations with behaviors of fishes and invertebrates. Am. Zool. 26, 389–401 (1986).

   Google Scholar 

7. Moss, G. A., Tong, L. J. & Illingworth, J. Effects of light intensity and food density on the growth and survival of early-stage phyllosoma larvae of the rock Lobster Jasus edwardsii. Mar. Freshw. Res. 50, 129–134 (1999).

   Google Scholar 

8. Wang, F. et al. The effect of light intensity on the growth of Chinese shrimp Fenneropenaeus chinensis. Aquaculture 234, 475–483 (2004).

   Google Scholar 

9. Gardner, C. & Maguire, G. B. Effect of photoperiod and light intensity on survival, development and cannibalism of larvae of the Australian giant crab Pseudocarcinus gigas (Lamarck). Aquaculture 165, 51–63 (1998).

   Google Scholar 

10. Mclean, E., Cotter, P. & Thain, C. King, N. Tank color impacts performance of cultured fish. Ribarstvo 2, 43–54 (2008).

    Google Scholar 

11. Wei Hui et al. Effects of light intensity on phototaxis, growth, antioxidant and stress of juvenile Gibel carp (Carassius auratus Gibelio). Aquaculture 501, 39–47 (2019).

    Google Scholar 

12. Sepulveda, J. & Moeller, A. H. The effects of temperature on animal gut microbiomes. Front. Microbiol. 11 https://doi.org/10.3389/fmicb.2020.00384 (2020).

13. Osadchiy, V., Martin, C. R. & Mayer, E. A. The gut brain axis and the microbimoe: mechanisms and Chinical implications. Clin. Gastroenterol. Hepatol. 17 https://doi.org/10.1016/j.cgh.2018.10.002 (2019).

14. Li, Y., Bao, N., Kan, Z. & Kang, X. in The 20th anniversary of the Invertebrate Zoology Society and the 55th anniversary of Academician Liu Ruiyu’s engagement in marine science education and research academic symposium.

15. Ying, J., Shen, W. & Li, P. Study on the influence of water temperature on the intestinal microflora of Penaeus vannamei. Mar. Scienes. 28, 33–36 (2004).

    Google Scholar 

16. Kr, M., Sunar, M. C., Topuz, M. & Saripek, M. Thermal acclimation capacity and standard metabolism of the Pacific white shrimp Litopenaeus vannamei (Boone, 1931) at different temperature and salinity combinations. J. Therm. Biol. 112, 103429 (2023).

    Google Scholar 

17. Dong, X., Wang, J. & Raghavan, V. Impact of microwave processing on the secondary structure, in-vitro protein digestibility and allergenicity of shrimp (Litopenaeus vannamei) proteins-ScienceDirect. Food Chem. 337, 127811 (2021).

    Google Scholar 

18. Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007).

    Google Scholar 

19. Elmar, P. et al. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res. 35, 7188–7196 (2007).

    Google Scholar 

20. Ondov, B. D., Bergman, N. H. & Phillippy, A. M. Interactive metagenomic visualization in a web browser. BMC Bioinform. 12, 385 (2011).

    Google Scholar 

21. Chen, H. B. & Boutros, P. C. VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R. BMC Bioinform. 12, 35 (2011).

    Google Scholar 

22. Conway, J. R., Lex, A. & Gehlenborg, N. UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics 33, 2938–2940 (2017).

    Google Scholar 

23. Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods. 7, 335–336 (2010).

    Google Scholar 

24. Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P. & Stevens, W. H. H. : Vegan: Community Ecology Package. R package, version 1.17-4, (2010).

25. Wickham, H. ggplot2. Wiley Interdisciplinary Reviews: Computational Statistics 3, 180–185 (2011).

26. Aßhauer, K. P., Wemheuer, B., Daniel, R. & Meinicke, P. Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data. Bioinformatics 31, 2882–2884 (2015).

    Google Scholar 

27. Langille et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat. Biotechnol. 31, 814–821 (2013).

    Google Scholar 

28. Shen, W. et al. The impact of microplastic and sulfanilamide co-exposure on soil microbiota. Ecotoxicol. Environ. Saf. 292, 117968 (2025).

    Google Scholar 

29. Liu, Li & Pengfang, Z. Relationship between photoperiod and plant floral induction. Liaoning Agri. Sci., 26–27 (2004).

30. Adair, K. L. & Douglas, A. E. Making a microbiome: the many determinants of host-associated microbial community composition. Curr. Opin. Microbiol. 35, 23–29 (2017).

    Google Scholar 

31. Wang Xiang, R., Xianyun, S., Xiuzhen, Li, C. & Jian, L. Effects of different photoperiods on growth, molting and glucose metabolism of Marsupenaeus japonicus. Progress Fish. Sci. 41, 66–73. https://doi.org/10.19663/j.issn2095-9869.20190902001 (2020).

    Google Scholar 

32. Wu Zhixin, C., Xiaoxuan, L., Xiaoling, M. X. & Xiqun, C. Effects of different photoperiods on reproduction and growth of Cherax quadricarinatus. Freshw. Fisheries. 30, 4–5 (2000).

    Google Scholar 

33. Shukun, Y. The latest research and application progress of feed protease. Feed Ind. 40, 22–26. https://doi.org/10.13302/j.cnki.fi.2019.10.005 (2019).

    Google Scholar 

34. Chunlei;, L. & Yutuo, W. Research progress on classi fication and application of amylase. Guangxi Sci. 25, 248–252. https://doi.org/10.13656/j.cnki.gxkx.20180531.002 (2018).

    Google Scholar 

35. Zishe;, W., Ji;, Z., Junyi;, M. & Rui, S. Research and application progress of lipase. J. Anhui Agri Cult. Sci. 39, 3798–3800. https://doi.org/10.13989/j.cnki.0517-6611.2011.07.004 (2011).

    Google Scholar 

36. Yanling, T. et al. The influence of light intensity and shelter on habitat and feeding behavior of the spiny Lobster (Panulirus homarus). J. Dalian Ocean. Univ. 40, 382–389. https://doi.org/10.16535/j.cnki.dlhyxb.2024-285 (2025).

    Google Scholar 

37. Jesus;, P. P. A., M.-P. C., and & G., R. L. The effects of salinity and temperature on the growth and survival rates of juvenile white shrimp, Penaeus vannamei, Boone, 1931. Aquaculture 157, 107–115 (1997).

38. Coman, G. J., Crocos, P. J. & P, P. N. The effects of temperature on the growth, survival and biomass of different families of juvenile Penaeus japonicus Bate. Aquaculture 214, 185–199 (2002).

    Google Scholar 

39. Zhiguo;, L., Chengsong;, Z., Yan;, Z., Fuhua;, L. & Jianhai, X. Effects of temperature on embryonic and larval development of the Exopalaemon carinicauda (Holthuis). Repopts 37, 9–16 (2013).

    Google Scholar 

40. Bowden, T. J. Modulation of the immune system of fish by their environment. Fish. Shellfish Immunol. 25, 373–383 (2008).

    Google Scholar 

41. Li, Y. et al. Effects of dietary glycinin on the growth performance, digestion, intestinal morphology and bacterial community of juvenile turbot, Scophthalmus Maximus L. Aquacultur, 125–133 (2017).

42. He, Y. et al. Glutamine improves growth and intestinal health in juvenile hybrid groupers fed high-dose glycinin. Fish Shellfish Immunology, 141 (2023).

43. A, F. H. et al. Sodium butyrate can improve intestinal integrity and immunity in juvenile Chinese mitten crab (Eriocheir sinensis) fed glycinin-ScienceDirect. Fish Shellfish Immunology, 400–411 (2020).

44. Rungrassamee, W., Klanchui, A., Maibunkaew, S., Chaiyapechara, S. & Karoonuthaisiri, N. Characterization of intestinal bacteria in wild and domesticated adult black tiger shrimp (Penaeus monodon). PLoS ONE. 9, e91853 (2014).

    Google Scholar 

45. Jingfeng, Y. The Study on Immune effects, Feeding Physiology and Intestinal Health of Soybean Antigen Protein on Giant Freshwater Prawn (Macrobrachium rosenbergii) (Shanghai Ocean University, 2018).

46. Chaiyapechara, S., Uengwetwanit, T., Arayamethakorn, S., Bunphimpapha, P. & Rungrassamee, W. Understanding the host-microbe-environment interactions: intestinal microbiota and transcriptomes of black tiger shrimp Penaeus monodon at different salinity levels. Aquaculture 546, 737371 (2021).

    Google Scholar 

47. Koca, S. B., Yigit, N. Ö. & I, D. B. Effects of enzyme-producing probiotic bacteria isolated from the Gastrointestinal tract of trout on the growth performance, survival, and digestive enzyme activity of rainbow trout fry (Oncorhynchus mykiss). Israeli J. Aquaculture-Bamidgeh. 352, 1–9 (2015).

    Google Scholar 

48. Sai, B. V. Antibacterial activity of Allium sativum against multidrug-resistant Vibrio harveyi isolated from black gill–diseased Fenneropenaeus indicus. Aquacult. Int. 19, 531–539 (2011).

    Google Scholar 

49. Kuebutornye, F. K. A., Abarike, E. D. & Lu, Y. A review on the application of Bacillus as probiotics in aquaculture. Fish Shellfish Immunol. 87, 820–828 (2019).

    Google Scholar 

50. Huttenhower, C., Gevers, D., Knight, R., Abubucker, S. & Badger, J. H. Structure, function and diversity of the healthy human Microbiome. Prog. Mol. Biol. Transl. Sci. 191, 53–82 (2012).

    Google Scholar 

51. Green, T. J. et al. Simulated marine heat wave alters abundance and structure of Vibrio populations associated with the Pacific oyster resulting in a mass mortality event. Microb. Ecol. 77, 736–747 (2018).

    Google Scholar 

52. Sorokin, D. Y. Thioclava Pacifica gen. nov., sp. nov., a novel facultatively autotrophic, marine, sulfur-oxidizing bacterium from a near-shore sulfidic hydrothermal area. Int. J. Syst. Evol. MicroBiol. 55, 1069–1075 (2005).

    Google Scholar 

53. Cao Haipeng, Z., Shuying, Y. J. & Jian, A. Isolation, identification and detoxification of a trichlorphon-tolerant Rhodobacter sphaeroides XR12. Acta Hydrobiol. Sin. 44, 59–66 (2020).

    Google Scholar 

54. Dai, L. et al. Pathogenicity and transcriptomic exploration of Vibrio fortis in Penaeus monodon. Fish. Shellfish Immunol. 142, 109097 (2023).

    Google Scholar 

55. Kolda, A., Gavrilovi, A., Jug-Dujakovi, J., Ljubei, Z. & Kapetanovi, D. Profiling of bacterial assemblages in the marine cage farm environment, with implications on fish, human and ecosystem health. Ecol. Ind. 118, 106785 (2020).

    Google Scholar 

56. Li, X. M. et al. Gut microbiota contributes to the growth of fast-growing Transgenic common carp (Cyprinus Carpio L). Plos One. 8, 7. https://doi.org/10.1371/journal.pone.0064577 (2013).

    Google Scholar 

57. Llewellyn et al. Teleost microbiomes: the state of the art in their characterization, manipulation and importance in aquaculture and fisheries. (2014).

58. Qu Biao et al. Effect offishing light complementaryon plankton in catfish pond. J. Aquaculture. 36, 6–9 (2015).

    Google Scholar 

59. Kyle, F., Edwards, M. K., Thomas, Christopher, A. & Elena, K. Phytoplankton growth and the interaction of light and temperature: A synthesis at the species and community level. Limnol. Oceanogr. 61, 1232–1244 (2016).

    Google Scholar 

60. Liu, X., Sha, Y. Z., Dingkao, R. Q., Zhang, W. & Luo, Y. Z. Interactions between rumen microbes, VFAs, and host genes regulate nutrient absorption and epithelial barrier function during cold season nutritional stress in Tibetan sheep. Front. Microbiol. 11 https://doi.org/10.3389/fmicb.2020.593062 (2020).

61. Wang, Y. B., Li, J. R. & Lin, J. Probiotics in aquaculture: challenges and outlook. Aquaculture 281, 1–4 (2008).

    Google Scholar 

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