Laboratory of Complex Biological Systems and Bioinformatics (CBB), Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran.
Sci Rep. 2020 Mar 19;10(1):4995. doi: 10.1038/s41598-020-61942-y.
Rumen microbial environment hosts a variety of microorganisms that interact with each other to carry out the feed digestion and generation of several by-products especially methane, which plays an essential role in global warming as a greenhouse gas. However, due to its multi-factorial nature, the exact cause of methane production in the rumen has not yet been fully determined. The current study is an attempt to use system modeling to analyze the relationship between interacting components of rumen microbiome and its role in methane production. Metagenomic data of sheep rumen, with equal numbers of high methane yield (HMY) and low methane yield (LMY) samples, were used. As a well-known approach for the systematic comparative study of complex traits, the co-abundance networks were constructed in both operational taxonomic unit (OTU) and gene levels. A gene-catalog of 1,444 different rumen microbial strains was developed as a reference to measure gene abundances. The results from both types of co-abundance networks showed that methanogens, which are the main ruminal source for methanogenesis, need other microbial species to accomplish the task of methane production through producing the main precursor molecules like H and acetate for methanogenesis pathway as their byproducts. KEGG Orthology(KO) analysis of the current study shows that the metabolism and growth rate of methanogens will be increased due to the higher rate of the metabolism and carbohydrate/fiber digestion pathways in the hidden elements. This finding proposes that any ruminant methane yield alteration strategy should consider complex interactions of rumen microbiome components as one tightly integrated unit rather than several separate parts.
瘤胃微生物环境中栖息着多种相互作用的微生物,它们共同完成饲料消化和多种副产品的生成,其中甲烷尤为重要,它作为一种温室气体,对全球变暖起着至关重要的作用。然而,由于其多因素的性质,瘤胃中甲烷生成的确切原因尚未完全确定。本研究试图利用系统建模来分析瘤胃微生物组相互作用成分之间的关系及其在甲烷生成中的作用。本研究使用了绵羊瘤胃的宏基因组数据,其中包含等量的高甲烷产量(HMY)和低甲烷产量(LMY)样本。共丰度网络分析是一种用于复杂特征系统比较研究的知名方法,在操作分类单元(OTU)和基因水平上构建了共丰度网络。开发了一个包含 1444 种不同瘤胃微生物菌株的基因目录,作为衡量基因丰度的参考。两种共丰度网络的结果均表明,产甲烷菌是瘤胃中甲烷生成的主要来源,需要其他微生物物种通过产生甲烷生成途径的主要前体分子(如 H 和乙酸盐)作为其副产物来完成甲烷生成任务。本研究的 KEGG 直系同源(KO)分析表明,由于隐藏元素中代谢和碳水化合物/纤维消化途径的速率较高,产甲烷菌的代谢和生长速率将会提高。这一发现表明,任何反刍动物甲烷产量改变策略都应考虑瘤胃微生物组成分的复杂相互作用,将其作为一个紧密整合的单元,而不是几个独立的部分。