Database construction and comparative genomics analysis of genes involved in nutritional metabolic diseases in fish

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Yuru Zhang, Junmei Zhang, Haiying Fan, Ronghua Lu, Guoxing Nie
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Abstract

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.

Abstract Image

鱼类营养代谢疾病相关基因的数据库构建和比较基因组学分析
在集约化水产养殖过程中,经常会出现鱼类营养代谢疾病。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。对营养和代谢紊乱相关基因的探索在水产养殖科学界和业界都引起了极大的兴趣。高通量测序技术为研究人员提供了大量基因信息。有效挖掘、分析和安全存储这些数据至关重要,尤其是在推进疾病预防和治疗策略方面。目前,有关鱼类营养和代谢紊乱基因数据库的探索和应用还处于起步阶段。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。利用来自 KEGG、OMIM 和现有文献的信息,精心构建了一个与鱼类营养代谢疾病相关的新型基因数据库。该数据库涵盖了红腹角雉(Danio rerio)的 4583 个基因、鲤鱼(Cyprinus carpio)的 6287 个基因、鲫鱼(Takifugu rubripes)的 3289 个基因、长尾鳕(Larimichthys crocea)的 3548 个基因、黑线鲈(Oreochromis niloticus)的 3816 个基因和鲫鱼(Oncorhynchus mykiss)的 5708 个基因。通过比较系统生物学方法,我们发现在这些鱼类物种中,与营养代谢疾病相关的基因具有相对较高的保守性,超过 54.9% 的基因在所有六个物种中都是保守的。此外,分析还在大黄鱼、罗非鱼和虹鳟鱼的基因组中发现了 13 个物种特异性基因。这些基因有可能成为解决营养代谢疾病的新型候选靶标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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