Data/hora: 21/09/2024 20:47:57

Biblioteca(s): 	Embrapa Agricultura Digital; Embrapa Pecuária Sudeste.	
Data corrente: 	31/08/2022	
Data da última atualização: 	17/11/2022	
Autoria: 	ANDRADE, B. G. N.; DONATONI, F. A. B.; CUADRAT, R. R.; CARDOSO, T. F.; MALHEIROS, J. M.; OLIVEIRA, P. S. N. DE; PETRINI, J.; MOURÃO, G. B.; COUTINHO, L. L.; REECY, J. M.; KOLTES, J. E.; ZERLOTINI NETO, A.; MEDEIROS, S. R. de; BERNDT, A.; PALHARES, J. C. P.; AFLI, H.; REGITANO, L. C. de A.	
Afiliação: 	BRUNO G. N. ANDRADE, Munster Technological University; FLAVIA ALINE BRESSANI DONATONI, CPPSE; RAFAEL R. C. CUADRAT, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany; TAINÃ F. CARDOSO, FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO; JESSICA M. MALHEIROS, UNIVERSIDADE FEDERAL DE SÃO CARLOS; PRISCILA S. N. DE OLIVEIRA, UNIVERSIDADE FEDERAL DE SÃO CARLOS; JULIANA PETRINI, UNIVERSIDADE DE SÃO PAULO; GERSON B. MOURÃO, UNIVERSIDADE DE SÃO PAULO; LUIZ L. COUTINHO, UNIVERSIDADE DE SÃO PAULO; JAMES M. REECY, Iowa State University; JAMES E. KOLTES, Iowa State University; ADHEMAR ZERLOTINI NETO, CNPTIA; SERGIO RAPOSO DE MEDEIROS, CPPSE; ALEXANDRE BERNDT, CPPSE; JULIO CESAR PASCALE PALHARES, CPPSE; HAITHEM AFLI, Munster Technological University; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE.	
Título: 	Stool and ruminal microbiome components associated with methane emission and feed efficiency in Nelore beef cattle.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	Frontiers in Genetics, v. 13, 812828, may, 2022.	
Páginas: 	12 p.	
DOI: 	10.3389/fgene.2022.812828	
Idioma: 	Inglês	
Conteúdo: 	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.	
Palavras-Chave: 	Associação; Association; Biomarcadores; Eficiência alimentar; Emissão de metano; Feed efficiency; Methane emission.	
Thesagro: 	Bactéria; Bos Indicus; Gado de Corte.	
Thesaurus Nal: 	Archaea; Beef cattle; Biomarkers.	
Categoria do assunto: 	G Melhoramento Genético	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145925/1/StoolRuminalMicrobiome.pdf	
Registro original: 	Embrapa Pecuária Sudeste (CPPSE)	
Exemplares: 	CPPSE - (25744-1) - UPC - AP - DD - PROCI-2022.00088 - AND - 2022.00161 - DIS
CNPTIA - (21245-1) - UPC - AP - DD -  -  -  - DIS