Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.
Identification, Comparison, and Validation of Robust Rumen Microbial Biomarkers for Methane Emissions Using Diverse Bos Taurus Breeds and Basal Diets.
复制标题
DOI：
10.3389/fmicb.2017.02642
复制
发表时间：
2017
影响因子：
5.2
通讯作者：
Roehe R
中科院分区：
文献类型：
--
作者：
Auffret MD;Stewart R;Dewhurst RJ;Duthie CA;Rooke JA;Wallace RJ;Freeman TC;Snelling TJ;Watson M;Roehe R
之前对瘤胃微生物的鸟枪宏基因组分析确定了一些微生物信息，这些信息可能有助于选择排放较少甲烷（CH 4）的牛，甲烷是一种有效的温室气体。已知甲烷产生量（g/kg）和一定程度上的微生物群落是可遗传的，因此生物标志物可以提供一种选择牛的低甲烷排放表型的方法。在这项研究中，更广泛的牛，品种和饮食不同，进行了调查，以确定微生物群落和遗传标记与高/低甲烷排放量。消化物样品取自50头肉牛，包括四个牛品种，接受两种基础日粮含有不同比例的浓缩物，还包括饲料添加剂（硝酸盐或脂质），可能会影响甲烷排放。偏最小二乘分析和网络分析相结合，能够在比较所有潜在的生物标志物时，确定不同饮食和品种的最显著和最可靠的甲烷排放生物标志物（VIP > 0.8）。与将二氧化碳转化为甲烷的氢营养产甲烷途径相关的基因提供了CH 4排放的主要生物标志物，并且产甲烷菌是与CH 4排放最密切相关的微生物种群，并通过宏基因组学鉴定。此外，这些基因分组在一起，如每个独立实验的网络分析所证实的，当组合时。最后，参与甲烷合成途径的基因解释了较高比例的变化，在甲烷排放量的PLS分析相比，系统发育参数或功能基因。这些结果证实了分析的可重复性和使用这些基因作为CH 4排放的稳健生物标志物的优势。挥发性脂肪酸的浓度和比例与甲烷显着相关，但这些因素没有被确定为足够强大的预测目的。此外，甲烷氧化甲基单胞菌属被发现与CH 4呈负相关。最后，这项研究证实了使用微生物组中强大且适用的生物标志物作为不同生产系统和环境中CH 4排放量的代表的重要性。
Previous shotgun metagenomic analyses of ruminal digesta identified some microbial information that might be useful as biomarkers to select cattle that emit less methane (CH4), which is a potent greenhouse gas. It is known that methane production (g/kgDMI) and to an extent the microbial community is heritable and therefore biomarkers can offer a method of selecting cattle for low methane emitting phenotypes. In this study a wider range of Bos Taurus cattle, varying in breed and diet, was investigated to determine microbial communities and genetic markers associated with high/low CH4 emissions. Digesta samples were taken from 50 beef cattle, comprising four cattle breeds, receiving two basal diets containing different proportions of concentrate and also including feed additives (nitrate or lipid), that may influence methane emissions. A combination of partial least square analysis and network analysis enabled the identification of the most significant and robust biomarkers of CH4 emissions (VIP > 0.8) across diets and breeds when comparing all potential biomarkers together. Genes associated with the hydrogenotrophic methanogenesis pathway converting carbon dioxide to methane, provided the dominant biomarkers of CH4 emissions and methanogens were the microbial populations most closely correlated with CH4 emissions and identified by metagenomics. Moreover, these genes grouped together as confirmed by network analysis for each independent experiment and when combined. Finally, the genes involved in the methane synthesis pathway explained a higher proportion of variation in CH4 emissions by PLS analysis compared to phylogenetic parameters or functional genes. These results confirmed the reproducibility of the analysis and the advantage to use these genes as robust biomarkers of CH4 emissions. Volatile fatty acid concentrations and ratios were significantly correlated with CH4, but these factors were not identified as robust enough for predictive purposes. Moreover, the methanotrophic Methylomonas genus was found to be negatively correlated with CH4. Finally, this study confirmed the importance of using robust and applicable biomarkers from the microbiome as a proxy of CH4 emissions across diverse production systems and environments.
登录
查看更多内容
影响因子：
5.2
作者：
Danielsson R;Dicksved J;Sun L;Gonda H;Müller B;Schnürer A;Bertilsson J
通讯作者：
Bertilsson J
影响因子：
3.6
作者：
Guyader, J.;Doreau, M.;Martin, C.
通讯作者：
Martin, C.
影响因子：
3.7
作者：
Kelly, William J.;Leahy, Sinead C.;Attwood, Graeme T.
通讯作者：
Attwood, Graeme T.
影响因子：
3.6
作者：
Duthie, C. -A.;Troy, S. M.;Rooke, J. A.
通讯作者：
Rooke, J. A.
DOI：
10.1038/ismej.2016.62
发表时间：
2016-12
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
--