Genomics and Applied Biology 2024, Vol.15, No.2, 89-98 http://bioscipublisher.com/index.php/gab 96 integration of next-generation sequencing (NGS) techniques will continue to revolutionize the genomics of commercially important aquaculture species, providing deeper insights into their biological, reproductive, and physiological functions at the molecular level. Gene transfer techniques have proven to be a powerful tool in the field of shrimp aquaculture, offering a means to address critical challenges such as disease outbreaks and the need for improved performance traits. While transfection has shown the most promise due to its high efficiency and low toxicity, it is essential to continue exploring and refining all available methods to maximize their potential applications. The ongoing development and exploitation of genomic resources will be crucial in fully realizing the benefits of gene transfer techniques, ultimately leading to more sustainable and productive shrimp farming practices. As the field progresses, it will be important to address the environmental and health concerns associated with genetically modified organisms (GMOs) to ensure the responsible and ethical application of these technologies. Acknowledgments The authors extend sincere thank to two anonymous peer reviewers for their feedback on the manuscript of this study. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Abdel-Rahim M., Bahattab O., Nossir F., Al-Awthan Y., Khalil R., and Mohamed R., 2021, Dietary supplementation of brown seaweed and/or nucleotides improved shrimp performance, health status and cold-tolerant gene expression of juvenile whiteleg shrimp during the winter season, Marine Drugs, 19(3): 175. https://doi.org/10.3390/md19030175 Abdelrahman D., Hasan W., and Da'as S., 2021, Microinjection quality control in zebrafish model for genetic manipulations, MethodsX, 8: 101418. https://doi.org/10.1016/j.mex.2021.101418 Ampofo I., Kobayashi J., Miller C., O'Neil S., Dhar A., and Fragomeni B., 2023, PSXII-4 genomic improvement of disease resistance using two breeding strategies in a population of Penaeus vannamei (Pacific White shrimp): a simulation study, Journal of Animal Science, 101(3): 347-348. https://doi.org/10.1093/jas/skad281.412 Arenal A., Pimentel R., García C., Pimentel E., and Aleström P., 2004, The SV40 T antigen nuclear localization sequence enhances nuclear import of vector DNA in embryos of a crustacean (Litopenaeus schmitti), Gene, 337: 71-77. https://doi.org/10.1016/J.GENE.2004.04.007 Blencowe M., Arneson D., Ding J., Chen Y., Saleem Z., and Yang X., 2019, Network modeling of single-cell omics data: challenges, opportunities, and progresses, Emerging Topics in Life Sciences, 3: 379-398. https://doi.org/10.1042/ETLS20180176 Chen M., Chen X., Tian L., Liu Y., and Niu J., 2020, Enhanced intestinal health, immune responses and ammonia resistance in Pacific white shrimp (Litopenaeus vannamei) fed dietary hydrolyzed yeast (Rhodotorula mucilaginosa) andBacillus licheniformis, Aquaculture Reports, 17: 100385. https://doi.org/10.1016/j.aqrep.2020.100385 Chen X., Chen Y., Shen X., Zuo J., and Guo H., 2018, The improvement and application of lentivirus-mediated gene transfer and expression system in penaeid shrimp cells, Marine Biotechnology, 21: 9-18. https://doi.org/10.1007/s10126-018-9862-0 Cordero-Maldonado M., Perathoner S., Kolk K., Boland R., Heins-Marroquin U., Spaink H., Meijer A., Crawford A., and Sonneville J., 2019, Deep learning image recognition enables efficient genome editing in zebrafish by automated injections, PLoS ONE, 14(1): e0202377. https://doi.org/10.1371/journal.pone.0202377 Dai P., Kong J., Liu J., Lu X., Sui J., Meng X., and Luan S., 2020, Evaluation of the utility of genomic information to improve genetic evaluation of feed efficiency traits of the Pacific white shrimp Litopenaeus vannamei, Aquaculture, 527: 735421. https://doi.org/10.1016/j.aquaculture.2020.735421 Dhugga K., 2022, Gene editing to accelerate crop breeding, Frontiers in Plant Science, 13. https://doi.org/10.3389/fpls.2022.889995 Efremova M., and Teichmann S., 2020, Computational methods for single-cell omics across modalities, Nature Methods, 17: 14-17. https://doi.org/10.1038/s41592-019-0692-4
RkJQdWJsaXNoZXIy MjQ4ODYzMg==