Nie Yuanyang, Zhou Zhiwei, Guan Jiuqiang, Xia Baixue, Luo Xiaolin, Yang Yang, Fu Yu, Sun Qun
Key Laboratory of Biological Resources and Ecological Environment, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610064, China.
Sichuan Grassland Science Academy, Chengdu, Sichuan, 611731, China.
Asian-Australas J Anim Sci. 2017 Jul;30(7):957-966. doi: 10.5713/ajas.16.0836. Epub 2017 Jan 26.
To understand the dynamic structure, function, and influence on nutrient metabolism in hosts, it was crucial to assess the genetic potential of gut microbial community in yaks of different ages.
The denaturing gradient gel electrophoresis (DGGE) profiles and Illumina-based metagenomic sequencing on colon contents of 15 semi-domestic yaks were investigated. Unweighted pairwise grouping method with mathematical averages (UPGMA) clustering and principal component analysis (PCA) were used to analyze the DGGE fingerprint. The Illumina sequences were assembled, predicted to genes and functionally annotated, and then classified by querying protein sequences of the genes against the Kyoto encyclopedia of genes and genomes (KEGG) database.
Metagenomic sequencing showed that more than 85% of ribosomal RNA (rRNA) gene sequences belonged to the phylum and , indicating that the family (46.5%), (11.3%), (10.0%), and (6.3%) were dominant gut microbes. Over 50% of non-rRNA gene sequences represented the metabolic pathways of amino acids (14.4%), proteins (12.3%), sugars (11.9%), nucleotides (6.8%), lipids (1.7%), xenobiotics (1.4%), coenzymes, and vitamins (3.6%). Gene functional classification showed that most of enzyme-coding genes were related to cellulose digestion and amino acids metabolic pathways.
Yaks' age had a substantial effect on gut microbial composition. Comparative metagenomics of gut microbiota in 0.5-, 1.5-, and 2.5-year-old yaks revealed that the abundance of the class , , and , as well as the phylum , , , , and , varied more greatly during yaks' growth, especially in young animals (0.5 and 1.5 years old). Gut microbes, including , , and , make a contribution to the energy metabolism and synthesis of amino acid, which are essential to the normal growth of yaks.
为了解不同年龄牦牛肠道微生物群落的遗传潜力、动态结构、功能及其对宿主营养代谢的影响,评估肠道微生物群落的遗传潜力至关重要。
对15头半野生牦牛的结肠内容物进行变性梯度凝胶电泳(DGGE)分析和基于Illumina的宏基因组测序。采用非加权组平均法(UPGMA)聚类和主成分分析(PCA)对DGGE指纹图谱进行分析。对Illumina序列进行组装、基因预测和功能注释,然后通过将基因的蛋白质序列与京都基因与基因组百科全书(KEGG)数据库进行比对进行分类。
宏基因组测序表明,超过85%的核糖体RNA(rRNA)基因序列属于门 和 ,表明 科(46.5%)、 科(11.3%)、 科(10.0%)和 科(6.3%)是主要的肠道微生物。超过50%的非rRNA基因序列代表氨基酸(14.4%)、蛋白质(12.3%)、糖类(11.9%)、核苷酸(6.8%)、脂质(1.7%)、外源化合物(1.4%)、辅酶和维生素(3.6%)的代谢途径。基因功能分类表明,大多数酶编码基因与纤维素消化和氨基酸代谢途径有关。
牦牛的年龄对肠道微生物组成有显著影响。对0.5岁、1.5岁和2.5岁牦牛肠道微生物群的比较宏基因组学研究表明,在牦牛生长过程中, 纲、 纲和 纲以及 门、 门、 门、 门和 门的丰度变化更大,尤其是在幼龄动物(0.5岁和1.5岁)中。包括 、 和 在内的肠道微生物对能量代谢和氨基酸合成有贡献,这对牦牛的正常生长至关重要。