Multiple comparative analysis revealed genetic basis of residual feed intake trait in common carp (Cyprinus carpio L.)

文献类型： 外文期刊

第一作者： Xu, Yihua

作者： Xu, Yihua;Sun, Zhipeng;Liu, Tianqi;Na, Rongbin;Zhang, Kexin;Zheng, Xianhu;Lu, Cuiyun;Xu, Yihua;Zheng, Xianhu;Lu, Cuiyun

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关键词： Cyprinus carpio L.; Residual feed intake; Histological analysis; Digestive enzyme activity; Comparative transcriptome

期刊名称：AQUACULTURE （ 影响因子：3.9； 五年影响因子：4.4 ）

ISSN： 0044-8486

年卷期： 2025 年 598 卷

页码：

收录情况： SCI

摘要： Common carp (Cyprinus carpio L.) is one of the main species in freshwater culture. Improving the feed efficiency of common carp is vital for reducing aquaculture cost, increasing aquaculture economic benefit and relieving water pollution. Residual feed intake (RFI) is a parameter to evaluate feed efficiency, which has a high heritability. Breeding with RFI can reduce feed intake without losing weight. In this study, we assessed RFI in the phenotypic, physiological, biochemical, and transcriptomic levels. RFI was evaluated according to the calculation model proposed by Koch. The result showed that RFI was only correlated with average daily feed intake (ADFI) (r = 0.477). According to the ranking of the results, the top 10 % individuals were divided into high RFI group (HRFI), and the bottom 10 % individuals were low RFI group (LRFI). We analyzed intestinal digestion and absorption capacity through sections and digestive enzyme activities. The villi height (VH) of LRFI group was significantly higher than that of HRFI group (P < 0.05). The crypt depth (CD) in fore gut of LRFI was significantly lower than that of HRFI (P < 0.05). Three digestive enzyme (TRY, LPS and AMS) activities in intestine of LRFI were all significantly higher than those in HRFI (P < 0.05). Candidate genes related to RFI were screened by analyzing and validating the transcriptomic data. Through the obtained transcriptomic analysis from five brains and five intestines samples, we screened differentially expressed genes (DEGs) (1093 DEGs in intestine and 3255 DEGs in brain) and analyzed enriched pathways between the two groups (HRFI vs LRFI). The accuracy of the transcriptomic data was verified by qRT-PCR. We identified 10 genes associated with RFI traits. The expression levels of cry2, e2f4, bmp16, bhmt, and mapk10 in LRFI group were significantly higher than those in HRFI, while the expression levels of akt2, fer, mrpl23, pik3ca, and rps6ka5 in LRFI group were significantly lower than those in HRFI. The differences in expression levels of these genes indicated that LRFI was not only superior to HRFI in physiological and biochemical aspects, but also reflected in gene expression levels, and genetic improvement of RFI trait could be achieved by using gene manipulation techniques in the future.

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