College of Fisheries, Henan Normal University, Xinxiang 453007, PR China; College of Fisheries, Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang 453007, PR China.
College of Fisheries, Henan Normal University, Xinxiang 453007, PR China; College of Fisheries, Engineering Technology Research Center of Henan Province for Aquatic Animal Cultivation, Henan Normal University, Xinxiang 453007, PR China.
Comp Biochem Physiol Part D Genomics Proteomics. 2024 Jun;50:101241. doi: 10.1016/j.cbd.2024.101241. Epub 2024 May 7.
Nutritional metabolic diseases in fish frequently arise in the setting of intensive aquaculture. The etiology and pathogenesis of these conditions involve energy metabolic disorders influenced by both internal genetic factors and external environmental conditions. The exploration of genes associated with nutritional and metabolic disorder has sparked considerable interest within both the aquaculture scientific community and the industry. High-throughput sequencing technology offers researchers extensive genetic information. Effectively mining, analyzing, and securely storing this data is crucial, especially for advancing disease prevention and treatment strategies. Presently, the exploration and application of gene databases concerning nutritional and metabolic disorders in fish are at a nascent stag. Therefore, this study focused on the model organism zebrafish and five primary economic fish species as the subjects of investigation. Using information from KEGG, OMIM, and existing literature, a novel gene database associated with nutritional metabolic diseases in fish was meticulously constructed. This database encompassed 4583 genes for Danio rerio, 6287 for Cyprinus carpio, 3289 for Takifugu rubripes, 3548 for Larimichthys crocea, 3816 for Oreochromis niloticus, and 5708 for Oncorhynchus mykiss. Through a comparative systems biology approach, we discerned a relatively high conservation of genes linked to nutritional metabolic diseases across these fish species, with over 54.9 % of genes being conserved throughout all six species. Additionally, the analysis pinpointed the existence of 13 species-specific genes within the genomes of large yellow croaker, tilapia, and rainbow trout. These genes exhibit the potential to serve as novel candidate targets for addressing nutritional metabolic diseases.
鱼类营养代谢性疾病常发生于集约化养殖环境中。这些疾病的病因和发病机制涉及受内部遗传因素和外部环境条件影响的能量代谢紊乱。与营养和代谢障碍相关基因的探索在水产养殖科学界和产业界都引起了相当大的兴趣。高通量测序技术为研究人员提供了广泛的遗传信息。有效地挖掘、分析和安全存储这些数据至关重要，特别是对于推进疾病预防和治疗策略。目前，鱼类营养代谢性疾病相关基因数据库的探索和应用尚处于起步阶段。因此，本研究以模式生物斑马鱼和五种主要经济鱼类为研究对象，利用 KEGG、OMIM 和现有文献中的信息，精心构建了一个与鱼类营养代谢性疾病相关的新型基因数据库。该数据库包含 4583 个斑马鱼基因、6287 个鲤鱼基因、3289 个红鳍东方鲀基因、3548 个大黄鱼基因、3816 个奥利亚罗非鱼基因和 5708 个大鳞大麻哈鱼基因。通过比较系统生物学方法，我们发现这些鱼类之间与营养代谢性疾病相关的基因具有相对较高的保守性，超过 54.9%的基因在所有六种鱼类中都得到了保守。此外，分析还确定了大黄鱼、罗非鱼和虹鳟基因组中存在 13 个种特异性基因。这些基因可能成为解决营养代谢性疾病的新候选靶标。
