Assessing the impact of rumen microbial communities on methane emissions and production traits in Holstein cows in a tropical climate

Assessing the impact of rumen microbial communities on methane emissions and production traits in Holstein cows in a tropical climate
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DOI:
10.1016/j.syapm.2017.07.008
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发表时间:
2017-12-01
影响因子:
3.4
通讯作者:
Suen, Garret
Suen, Garret
中科院分区:
生物学2区
文献类型:
--
作者:
Cunha, Camila S.;Veloso, Cristina M.;Suen, Garret

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评估肠道微生物群如何影响甲烷排放和动物生产是必要的,以便在不损失生产的情况下实现甲烷减排。为了实现这一目标,本研究的目的是关联瘤胃微生物群落(细菌,古菌和真菌)的高(HP),中(MP),低产奶量(LP),以及干(DC),荷斯坦奶牛在一个实际的热带生产系统与甲烷排放量和动物生产性状。总体而言,DC奶牛排放更多的甲烷,其次是MP,HP和LP奶牛,尽管HP和LP奶牛的排放量相似。使用下一代测序,发现属于Christensenellaceae,Mogibacteriaceae,S24-7,Butyrivibrio,Schwartzia和Treponema的细菌与甲烷排放量呈负相关,与可消化干物质摄入量(dOMI)和可消化有机物摄入量(dOMI)呈正相关。在甲烷球菌属的古菌中也观察到类似的发现。细菌群Coriobacteriaceae,RFP 12和梭菌与甲烷呈负相关,但与dOMI和dOMI不相关。对于厌氧真菌群落,没有显着的相关性与甲烷或动物生产traits. Based上这些发现,这表明,操纵这些微生物类群的丰度可能是有用的调节甲烷排放量,而不会对动物生产产生负面影响。(C)2017 Elsevier GmbH. All rights reserved.
The evaluation of how the gut microbiota affects both methane emissions and animal production is necessary in order to achieve methane mitigation without production losses. Toward this goal, the aim of this study was to correlate the rumen microbial communities (bacteria, archaea, and fungi) of high (HP), medium (MP), and low milk producing (LP), as well as dry (DC), Holstein dairy cows in an actual tropical production system with methane emissions and animal production traits. Overall, DC cows emitted more methane, followed by MP, HP and LP cows, although HP and LP cow emissions were similar. Using next generation sequencing, it was found that bacteria affiliated with Christensenellaceae, Mogibacteriaceae, S24-7, Butyrivibrio, Schwartzia, and Treponema were negatively correlated with methane emissions and showed positive correlations with digestible dry matter intake (dDMI) and digestible organic matter intake (dOMI). Similar findings were observed for archaea in the genus Methanosphaera. The bacterial groups Coriobacteriaceae, RFP12, and Clostridium were negatively correlated with methane, but did not correlate with dDMI and dOMI. For anaerobic fungal communities, no significant correlations with methane or animal production traits were found. Based on these findings, it is suggested that manipulation of the abundances of these microbial taxa may be useful for modulating methane emissions without negatively affecting animal production. (C) 2017 Elsevier GmbH. All rights reserved.