Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, 310058, China.
Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, 310058, China.
Microb Biotechnol. 2022 Mar;15(3):793-804. doi: 10.1111/1751-7915.13755. Epub 2021 Feb 10.
Gut microbiota plays important roles in host nutrition, metabolism and immunity, and is affected by multiple factors. However, the understandings of the gut microbiota in pigs within different breeds, growth periods and genders from a large cohort remain largely undefined. In the present study, the characteristics of the gut microbiota in 120 pigs of different breeds, growth periods and genders were investigated using the Illumina MiSeq PE300 combined with QIIME2 platform. A total of 7 388 636 raw reads and 16 411 features were obtained. Additionally, the microbial diversity, compositions and phenotypes were described. 66.53% microbiota belonged to the top 10 most abundant genera (pan gut bacteria), and 28 species were commonly identified (core gut bacteria, commonality ≥ 75%) among the pigs. Besides, the correlations within pan and core gut microbiota were firstly investigated. The metagenomic function was predicted by using PICRUSt2. Furthermore, the explanatory effects of the influencing factors suggested that growth period was the greatest contributor to the gut microbiota in pigs. These results expanded our knowledge of mammalian gut microbiota within different influencing factors and microbial-related biological features in swine, which contributes to improving animal production and assisting animal model research.
肠道微生物群在宿主营养、代谢和免疫中发挥着重要作用，并受到多种因素的影响。然而，对于不同品种、生长阶段和性别的猪的肠道微生物群，从大样本量的角度来看，其认识仍在很大程度上尚未明确。在本研究中，我们使用 Illumina MiSeq PE300 联合 QIIME2 平台，对不同品种、生长阶段和性别的 120 头猪的肠道微生物群特征进行了研究。共获得了 7388636 条原始读数和 16411 个特征，描述了微生物多样性、组成和表型。66.53%的微生物群属于前 10 个最丰富的属（泛肠道细菌），在这些猪中，有 28 个种被普遍鉴定（核心肠道细菌，共同性≥75%）。此外，还首次研究了泛肠道和核心肠道微生物群之间的相关性。利用 PICRUSt2 预测了宏基因组功能。进一步的解释性分析表明，生长阶段是影响猪肠道微生物群的最大因素。这些结果扩展了我们对不同影响因素下哺乳动物肠道微生物群以及猪微生物相关生物学特征的认识，有助于提高动物生产水平并辅助动物模型研究。
