Wang Zhong, Yu Xuan, Yang Shenghong, Zhao Mingming, Wang Liqi
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang 550025, China.
College of Animal Sciences, Guizhou University, Guiyang 550025, China.
Animals (Basel). 2024 Sep 23;14(18):2743. doi: 10.3390/ani14182743.
Growth performance is an important economic trait of broilers but the related serum metabolomics remains unclear. In this study, we utilized non-targeted metabolomics using ultra-high-performance liquid phase tandem mass spectrometry (UHPLC-MS/MS) to establish metabolite profiling in the serum of Chinese Wumeng black-bone chickens. The biomarker metabolites in serum associated with growth performance of chickens were identified by comparing the serum metabolome differences between chickens that significantly differed in their weights at 160 days of age when fed identical diets. A total of 766 metabolites were identified including 13 differential metabolite classes such as lipids and lipid-like molecules, organic acids and their derivatives, and organoheterocyclic compounds. The results of difference analysis using a partial least squares discriminant analysis (PLS-DA) model indicated that the low-body-weight group could be differentiated based on inflammatory markers including prostaglandin a2, kynurenic acid and fatty acid esters of hydroxy fatty acids (FAHFA), and inflammation-related metabolic pathways including tryptophan and arachidonic acid metabolism. In contrast, the sera of high-body-weight chickens were enriched for riboflavin and 2-isopropylmalic acid and for metabolic pathways including riboflavin metabolism, acetyl group transfer into mitochondria, and the tricarboxylic acid (TCA) cycle. These results provide new insights into the practical application of improving the growth performance of local chickens.
生长性能是肉鸡的一项重要经济性状,但相关的血清代谢组学仍不清楚。在本研究中,我们利用超高效液相色谱串联质谱(UHPLC-MS/MS)的非靶向代谢组学方法,建立了中国乌蒙乌鸡血清中的代谢物谱。通过比较在相同日粮喂养下160日龄体重差异显著的鸡的血清代谢组差异,鉴定了与鸡生长性能相关的血清生物标志物代谢物。共鉴定出766种代谢物,包括脂质和类脂分子、有机酸及其衍生物、有机杂环化合物等13种差异代谢物类别。使用偏最小二乘判别分析(PLS-DA)模型进行差异分析的结果表明,低体重组可以根据包括前列腺素a2、犬尿酸和羟基脂肪酸脂肪酸酯(FAHFA)在内的炎症标志物以及包括色氨酸和花生四烯酸代谢在内的炎症相关代谢途径进行区分。相比之下,高体重鸡的血清中富含核黄素和2-异丙基苹果酸,以及包括核黄素代谢、乙酰基转移到线粒体和三羧酸(TCA)循环在内的代谢途径。这些结果为提高地方鸡生长性能的实际应用提供了新的见解。