数字农科院2.0

Review on Omics Approaches in Aquatic Animal Nutrition: Current Status, Limitations, and Perspectives

文献类型： 外文期刊

作者： Zhang, Jian;Li, Ming;Meng, Delong;Xu, Shichang;Teame, Tsegay;Yao, Yuanyuan;Yang, Yalin;Zhang, Zhen;Ran, Chao;Jijakli, M. Haissam;Ding, Qianwen;Zhou, Zhigang

作者机构：

关键词： aquatic animal nutrition;genomics;proteomics;metabolomics;microbiomics

期刊名称： JOURNAL OF NUTRITION

ISSN： 0022-3166

年卷期： 2025 年 155 卷 10 期

页码：

收录情况： SCIE（2025版）

摘要： This review synthesizes the research progress in applying omics to aquatic animal nutrition, highlighting their advantages as well as current limitations, and outlines future directions for development. Traditional nutritional research is often hampered by environmental variability, low precision, and the complexity of nutrient interactions across different tissues. The advent of high-throughput sequencing, bioinformatics, and functional genomics has driven the rapid emergence of various omics fields, such as genomics, transcriptomics, proteomics, metabolomics, and microbiomics. These technologies overcome the limitations of traditional research methods, becoming powerful tools for investigating the regulatory mechanisms of nutrition in aquatic animals. Genomics and transcriptomics reveal genetic responses of aquatic animals to nutritional interventions, whereas proteomics and metabolomics enable large-scale analysis of proteins and metabolites, illuminating physiological changes under various nutritional conditions. Moreover, microbiomics provides crucial insights into the interactions between gut microbiota and host nutrient metabolism and immunity. Key applications such as gene editing and protein post-translational modification analysis further elucidate molecular mechanisms of nutritional regulation in fish. Despite significant advances, omics still faces persistent challenges, including technological complexity, ethical concerns, underdeveloped regulatory systems, ecological safety risks, and issues related to data storage and sharing. Addressing these through technological innovation, improved regulatory frameworks, and the expansion of application areas will be crucial for the sustainable advancement of omics in aquatic animal nutrition research.

分类号：

  • 相关文献

[1]Application of omics technology in the research on edible fungi. Cao L.,Zhang Q.,Miao R.,Lin J.,Feng R.,Ni Y.,Li W.,Yang D.,Zhao X.. 2023

[2]Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants. Ali Raza,Javaria Tabassum,Zainab Zahid,Sidra Charagh,Shanza Bashir,Rutwik Barmukh,Rao Sohail Ahmad Khan,Fernando Barbosa,Chong Zhang,Hua Chen,Weijian Zhuang,Rajeev K. Varshney. 2022

[3]Glucose restriction enhances oxidative fiber formation: A multi-omic signal network involving AMPK and CaMK2. Zhang K.,Xie N.,Ye H.,Miao J.,Xia B.,Yang Y.,Peng H.,Xu S.,Wu T.,Tao C.,Ruan J.,Wang Y.,Yang S.. 2024

[4]Editorial: Genetically deciphering the adaptive growth and development of photosynthetic organisms: a holistic omics approach. Dongli He,Maoteng Li,Jiangxin Wang,Xin Wang. 2024

[5]Omics-assisted crop improvement under abiotic stress conditions. Raza, Ali,Gangurde, Sunil S.,Sandhu, Karansher Singh,Lv, Yan. 2024

[6]Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement. Huan Li,Muhammad Tahir ul Qamar,Li Yang,Junchao Liang,Jun You,Linhai Wang. 2023

[7]Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data. Bai, Wenhui,Li, Cheng,Li, Wei,Wang, Hai,Han, Xiaohong,Wang, Peipei,Wang, Li. 2024

[8]Recent advances in biotechnology and bioengineering for efficient microalgal biofuel production. Chaoqun Zhang,Rahul Prasad Singh,Priya Yadav,Indrajeet Kumar,Amit Kaushik,Rajib Roychowdhury,Mustansar Mubeen,Sandeep Kumar Singh,Ajay Kumar,Jie Wang. 2025

[9]Editorial: Omics-driven crop improvement for stress tolerance. Qi W.,Chen J.,Han Y.,Li Z.,苏晓峰.,Yeo F.K.S.. 2023

[10]Metabolites Discovery from Streptomyces xanthus: Exploring the Potential of Desert Microorganisms. Xinrong Luo,Zhanwen Liu,Zhanfeng Xia,Xiaoxia Luo,Juan Zhang,Ailiang Chen,Haoxin Wang,Chuanxing Wan,Lili Zhang. 2025

[11]21世纪功能因组学与生物制药. 孟庆文,于康震. 2001

[12]Metabolic responses and "omics" technologies for elucidating the effects of heat stress in dairy cows. Min, Li,Zhao, Shengguo,Tian, He,Zhou, Xu,Zhang, Yangdong,Li, Songli,Zheng, Nan,Wang, Jiaqi,Min, Li,Yang, Hongjian.

[13]Effect of the DGAT1 K232A genotype of dairy cows on the milk metabolome and proteome. Lu, Jing,van Hooijdonk, Toon,Hettinga, Kasper,Lu, Jing,Boeren, Sjef,Vervoort, Jacques,Lu, Jing.

[14]Soybean Omics and Biotechnology in China. Guo, Yong,Wang, Xiao-Bo,He, Wei,Zhou, Guo-An,Guo, Bing-Fu,Zhang, Le,Liu, Zhang-Xiong,Luo, Zhong-Qin,Wang, Li-Hui,Qiu, Li-Juan. 2011

[15]Combined metabolomics and proteomics to reveal beneficial mechanisms of Dendrobium fimbriatum against gastric mucosal injury. Sun, Jing,Liu, Peng-Fei,Liu, Jia-Ni,Lu, Cong,Tong, Li-Tao,Wang, Yong-Quan,Liu, Jia-Meng,Fan, Bei,Wang, Feng-Zhong. 2022

[16]Metabolomics combined with proteomics provides a novel interpretation of the compound differences among Chinese tea cultivars (Camellia sinensis var. sinensis) with different manufacturing suitabilities. Dan Chen,Zhen Sun,Jianjian Gao,Jiakun Peng,Zhe Wang,Yanni Zhao,Zhi Lin,Weidong Dai. 2022

[17]A comprehensive study of the differences in protein expression and chemical constituents in tea leaves (Camellia sinensis var. sinensis) with different maturity using a combined proteomics and metabolomics method. Zhen Sun,Dan Chen,Liyao Zhu,Yanni Zhao,Zhi Lin,Xianzhen Li,Weidong Dai. 2022

[18]Metabolomics and proteomics reveal the molecular basis of colour formation in the pericarp of Chinese wild rice (Zizania latifolia). Yu X.,Qi Q.,Li Y.,Li N.,Xie Y.,Ding A.,Shi J.,Du Y.,Liu X.,Zhang Z.,Yan N.. 2022

[19]Gibberellins inhibit flavonoid biosynthesis and promote nitrogen metabolism in medicago truncatula. Hao Sun,Huiting Cui,Jiaju Zhang,Junmei Kang,Zhen Wang,Mingna Li,Fengyan Yi,Qingchuan Yang,Ruicai Long. 2021

[20]Revealing the difference of α-amylase and CYP6AE76 gene between polyphagous Conogethes punctiferalis and oligophagous C. pinicolalis by multiple-omics and molecular biological technique. Jing D.,Prabu S.,Zhang T.,Bai S.,He K.,Zhang Y.,Wang Z.. 2022

作者其他论文 更多>>