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The Nelore hologenome: implications in beef quality and feed efficiency

Grant number: 19/04089-2
Support type:Research Grants - eScience and Data Science Program - Thematic Grants
Duration: December 01, 2019 - November 30, 2024
Field of knowledge:Agronomical Sciences - Animal Husbandry
Principal Investigator:Luciana Correia de Almeida Regitano
Grantee:Luciana Correia de Almeida Regitano
Home Institution: Pecuária Sudeste. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). São Carlos , SP, Brazil
Co-Principal Investigators:Adhemar Zerlotini Neto ; Gerson Barreto Mourão ; Luiz Lehmann Coutinho
Assoc. researchers:Alexandre Berndt ; Aline Silva Mello Cesar ; Ana Rita de Araujo Nogueira ; Antonio Reverter-Gomez ; Bastiaan Elie Dutilh ; Bruna Pena Sollero ; Christine G Elsik ; Cintia Righetti Marcondes ; Daniel Rodrigues Cardoso ; Danísio Prado Munari ; Fabiane Siqueira ; Gota Morota ; Haithem Afli ; Haja Kadarmideen ; Heidge Fukumasu ; James E Koltes ; James Reecy ; Jeremy Francis Taylor ; João Oiano Neto ; Juliana Petrini ; Juliano Coelho da Silveira ; Julio Cesar Pascale Palhares ; Laercio Ribeiro Porto neto ; Leandro Carrijo Cintra ; Luis Artur Loyola Chardulo ; Luiz Alberto Colnago ; Marcos Roberto Chiaratti ; Marina Rufino Salinas Fortes ; Matthew Lee Spangler ; Mauricio de Alvarenga Mudadu ; Patricia Tholon ; Paul Walsh ; Paula Regina Kuser Falcão ; Polyana Cristine Tizioto ; Rafael Ricardo de Castro Cuadrat ; Renata Tieko Nassu ; Robert David Schnabel ; Sergio Raposo de Medeiros ; Sónia Cristina da Silva Andrade ; William Tadeu Lara Festuccia


Hologenome is an evolutionary concept that both the host and its associated microorganisms (microbiota) form a cohesive biological entity known as holobionte, whose interaction affects the development and general fitness of the so-called hologenome, such that it has been considered as an independent level of selection. Particularly in ruminants, in addition to allowing to break down complex polysaccharides found in pastures, microbial fermentation in the rumen produces methane as a byproduct, a greenhouse gas with high environmental impact. As well as the reduction of cost and environmental impact, quality improvement is a fundamental factor for the conquest of new markets for Brazilian beef. In a previous thematic project, we produced structural and functional genomic data in a Nelore reference population, thus revealing the main actors in the regulation of gene expression and biological processes relevant to beef quality and food efficiency traits. In the current proposal, we will expand the data analysis to further integrate the different levels of genomic and phenotypic information, searching for causal mutations that explain the observed differences in gene expression. We will also investigate the metagenomics and metabolomics of the rumen of a new sample of Nelore cattle. The addition of the meta-omic layer to the functional genomic of the host will allow to answer critical questions about the inter-relation of functional diversity of the microbiota and the host environment. In addition, the construction of a relational database should facilitate the exploration of this unique set of multi-omic data from Bos indicus and its future integration into international efforts to understand the bovine functional genome. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE LIMA, ANDRESSA O.; KOLTES, JAMES E.; DINIZ, WELLISON J. S.; DE OLIVEIRA, PRISCILA S. N.; CESAR, ALINE S. M.; TIZIOTO, POLYANA C.; AFONSO, JULIANA; DE SOUZA, MARCELA M.; PETRINI, JULIANA; ROCHA, MARINA I. P.; CARDOSO, TAINA F.; NETO, ADHEMAR ZERLOTINI; COUTINHO, LUIZ L.; MOURAO, GERSON B.; REGITANO, LUCIANA C. A. Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses. FRONTIERS IN GENETICS, v. 11, MAR 4 2020. Web of Science Citations: 0.

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