Stool and Ruminal Microbiome Components Associated With Methane Emission and Feed Efficiency in Nelore Beef Cattle

被引：21

作者：

Andrade, Bruno G. N. ^{[1
,2
]}

Bressani, Flavia A. ^{[1
]}

Cuadrat, Rafael R. C. ^{[3
]}

Cardoso, Taina F. ^{[1
]}

Malheiros, Jessica M. ^{[1
]}

de Oliveira, Priscila S. N. ^{[4
]}

Petrini, Juliana ^{[5
]}

Mourao, Gerson B. ^{[5
]}

Coutinho, Luiz L. ^{[5
]}

Reecy, James M. ^{[6
]}

Koltes, James E. ^{[6
]}

Neto, Adhemar Z. ^{[7
]}

de Medeiros, Sergio R. ^{[1
]}

Berndt, Alexandre ^{[1
]}

Palhares, Julio C. P. ^{[1
]}

Afli, Haithem ^{[2
]}

Regitano, Luciana C. A. ^{[1
]}

机构：

[1] Embrapa Southeast Livestock, Sao Carlos, Brazil

[2] Munster Technol Univ, Dept Comp Sci, MTU, ADAPT, Cork, Ireland

[3] German Inst Human Nutr Potsdam Rehbrucke DIfE, Dept Mol Epidemiol, Nuthetal, Germany

[4] Univ Fed Sao Carlos, UFSCar, Sao Carlos, Brazil

[5] Univ Sao Paulo, Dept Anim Sci, ESALQ, Piracicaba, Brazil

[6] Iowa State Univ, Dept Anim Sci, Ames, IA USA

[7] Embrapa Agr Informat, Campinas, Brazil

来源：

FRONTIERS IN GENETICS | 2022年 / 13卷

基金：

欧盟地平线“2020”; 巴西圣保罗研究基金会;

关键词：

association; archaea; bacteria; biomarkers; Bos indicus; feed efficiency; methane emission; RUMEN; COMMUNITY; PROPIONATE; METABOLISM; RELEVANCE; DIET;

D O I：

10.3389/fgene.2022.812828

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Background: The impact of extreme changes in weather patterns on the economy and human welfare is one of the biggest challenges our civilization faces. From anthropogenic contributions to climate change, reducing the impact of farming activities is a priority since it is responsible for up to 18% of global greenhouse gas emissions. To this end, we tested whether ruminal and stool microbiome components could be used as biomarkers for methane emission and feed efficiency in bovine by studying 52 Brazilian Nelore bulls belonging to two feed intervention treatment groups, that is, conventional and by-product-based diets.Results: We identified a total of 5,693 amplicon sequence variants (ASVs) in the Nelore bulls' microbiomes. A Differential abundance analysis with the ANCOM approach identified 30 bacterial and 15 archaeal ASVs as differentially abundant (DA) among treatment groups. An association analysis using Maaslin2 software and a linear mixed model indicated that bacterial ASVs are linked to the host's residual methane emission (RCH4) and residual feed intake (RFI) phenotype variation, suggesting their potential as targets for interventions or biomarkers.Conclusion: The feed composition induced significant differences in both abundance and richness of ruminal and stool microbial populations in ruminants of the Nelore breed. The industrial by-product-based dietary treatment applied to our experimental groups influenced the microbiome diversity of bacteria and archaea but not of protozoa. ASVs were associated with RCH4 emission and RFI in ruminal and stool microbiomes. While ruminal ASVs were expected to influence CH4 emission and RFI, the relationship of stool taxa, such as Alistipes and Rikenellaceae (gut group RC9), with these traits was not reported before and might be associated with host health due to their link to anti-inflammatory compounds. Overall, the ASVs associated here have the potential to be used as biomarkers for these complex phenotypes.

引用

页数：12

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