Li Wangchang, Zeng Xianglin, Wang Lu, Yin Lanmei, Wang Qiye, Yang Huansheng
Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha 410081, China.
Yuelushan Laboratory, Changsha 410128, China.
Animals (Basel). 2025 Mar 25;15(7):936. doi: 10.3390/ani15070936.
Microbial communities in the gastrointestinal tract play a critical role in nutrient absorption, metabolism, and overall health of animals. Understanding the structure and function of tissue-specific microbial communities in Ningxiang pigs is essential for optimizing their growth, development, and nutritional efficiency. However, the diversity and functional roles of microbiota in different nutrient absorption tissues remain underexplored.
We collected samples from four key nutrient absorption tissues (NFC: Cecal Content, NFI: Ileal Content, NFL: Colonic Content, NFG: Gastric Content, N = 6) of Ningxiang pigs and performed 16S rRNA gene sequencing to analyze microbial community composition. Bioinformatics analyses included alpha and beta diversity assessments, linear discriminant analysis effect size (LEfSe) for biomarker identification, and PICRUSt2-based functional prediction. Comparative metabolic abundance analysis was conducted to explore functional differences among tissues.
Alpha diversity indices (ACE, Chao1, Simpson, and Shannon) revealed significant differences in microbial richness and evenness among the four tissues. At the phylum level, dominated the microbiota, while was prominent in NFC and NFL. LEfSe analysis identified tissue-specific dominant microbial groups, such as f_ in NFC, o_ in NFG, f_ in NFI, and f_ in NFL. Functional profiling using PICRUSt2 showed that the microbiota was primarily involved in organismal systems (e.g., aging, digestion), cellular processes (e.g., cell growth, transport), environmental information processing (e.g., signaling), genetic information processing (e.g., transcription, translation), and metabolic regulation (e.g., amino acid and carbohydrate metabolism). Comparative metabolic abundance analysis highlighted distinct functional profiles across tissues, with significant differences observed in pathways related to the immune system, energy metabolism, lipid metabolism, transcriptional and translational regulation, and aging.
Our findings demonstrate that tissue-specific microbial communities in Ningxiang pigs exhibit distinct structural and functional characteristics, which are closely associated with nutrient absorption and metabolic regulation. These results provide valuable insights into the roles of microbiota in the growth and health of Ningxiang pigs and pave the way for future studies on microbe-mediated nutritional interventions.
胃肠道中的微生物群落对动物的营养吸收、新陈代谢及整体健康起着关键作用。了解宁乡猪组织特异性微生物群落的结构和功能对于优化其生长、发育及营养效率至关重要。然而,不同营养吸收组织中微生物群的多样性和功能作用仍未得到充分研究。
我们从宁乡猪的四个关键营养吸收组织(NFC:盲肠内容物、NFI:回肠内容物、NFL:结肠内容物、NFG:胃内容物,N = 6)采集样本,并进行16S rRNA基因测序以分析微生物群落组成。生物信息学分析包括α和β多样性评估、用于生物标志物鉴定的线性判别分析效应大小(LEfSe)以及基于PICRUSt2的功能预测。进行比较代谢丰度分析以探索组织间的功能差异。
α多样性指数(ACE、Chao1、Simpson和Shannon)显示四个组织之间微生物丰富度和均匀度存在显著差异。在门水平上, 主导微生物群,而 在NFC和NFL中占主导地位。LEfSe分析确定了组织特异性优势微生物群,如NFC中的f_、NFG中的o_、NFI中的f_和NFL中的f_。使用PICRUSt2进行的功能分析表明,微生物群主要参与机体系统(如衰老、消化)、细胞过程(如细胞生长、运输)、环境信息处理(如信号传导)、遗传信息处理(如转录、翻译)和代谢调节(如氨基酸和碳水化合物代谢)。比较代谢丰度分析突出了不同组织的独特功能谱,在与免疫系统、能量代谢、脂质代谢、转录和翻译调节以及衰老相关的途径中观察到显著差异。
我们的研究结果表明,宁乡猪的组织特异性微生物群落具有独特的结构和功能特征,这与营养吸收和代谢调节密切相关。这些结果为深入了解微生物群在宁乡猪生长和健康中的作用提供了有价值的见解,并为未来微生物介导的营养干预研究铺平了道路。