Literature DB >> 35075583

Genomic study of the resilience of buffalo cows to a negative energy balance.

Francisco Ribeiro de Araujo Neto1, Jessica Cristina Gonçalves Dos Santos2, Cherlynn Daniela da Silva Arce2, Rusbel Raul Ascpilcueta Borquis3, Daniel Jordan Abreu Dos Santos4, Katia Cylene Guimarães5, André Vieira do Nascimento2, Henrique Nunes de Oliveira2, Humberto Tonhati2.   

Abstract

The research article was carried out with the objective of studying the genetic variation on the resilience of buffaloes to negative energy balance-NEB (measured by changes in body weight in early lactation)-as well as investigating genomic regions of interest for this trait. A model of reaction norms was used, considering milk production as the trait to be analyzed and solutions of the contemporary groups to weight changes as environmental gradient. In this methodology, the genetic value of the slope represents the measure of resilience of the animals. After the estimation step, a genome-wide association analysis was performed for the slope of the reaction norms model, to obtain a list of windows and associated genes. The heritability estimates for milk production over the resilience gradient ranged from 0.13 to 0.28, with lower values in the intermediate environmental groups. Regarding the productive resilience of dairy buffalo cows to NEB, the genomic windows with the highest contribution to the genetic variance were detected on chromosomes BBU 1, 2, 3, 4, 9, 12, 19, and 21. A functional analysis of the genes described in the selected windows indicated association with metabolic routes related to growth and immunity of the animals, with an emphasis on the STAT6 gene. The results presented indicate that there is for this trait genetic variation to be used as selection criteria, in addition to genomic regions that can increase the precision of the selection.
© 2022. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.

Entities:  

Keywords:  Bubalus bubalis; GWAS; Production efficiency; ssGBLUP

Mesh:

Year:  2022        PMID: 35075583     DOI: 10.1007/s13353-021-00680-x

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  29 in total

1.  Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.

Authors:  I Aguilar; I Misztal; D L Johnson; A Legarra; S Tsuruta; T J Lawlor
Journal:  J Dairy Sci       Date:  2010-02       Impact factor: 4.034

2.  Genotype-environment interaction for age at first calving in buffaloes, using the reaction norm model.

Authors:  Gabriela Rodrigues Freitas; Naudin Alejandro Hurtado-Lugo; Daniel Jordan de Abreu Dos Santos; Rusbel Raul Aspilcueta Borquis; Newton Tamassia Pegolo; Humberto Tonhati; Francisco Ribeiro de Araújo Neto
Journal:  Reprod Domest Anim       Date:  2019-03-04       Impact factor: 2.005

3.  Identification of genomic regions related to age at first calving and first calving interval in water buffalo using single-step GBLUP.

Authors:  Francisco Ribeiro de Araujo Neto; Luciana Takada; Daniel Jordan Abreu Dos Santos; Rusbel Raul Aspilcueta-Borquis; Diercles Francisco Cardoso; André Vieira do Nascimento; Karen Martins Leão; Henrique Nunes de Oliveira; Humberto Tonhati
Journal:  Reprod Domest Anim       Date:  2020-10-05       Impact factor: 2.005

4.  A reaction norm sire model to study the effect of metabolic challenge in early lactation on the functional longevity of dairy cows.

Authors:  N-T Ha; A R Sharifi; J Heise; M Schlather; U Schnyder; J J Gross; F Schmitz-Hsu; R M Bruckmaier; H Simianer
Journal:  J Dairy Sci       Date:  2017-03-09       Impact factor: 4.034

5.  Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP.

Authors:  Francisco Ribeiro de Araujo Neto; Daniel Jordan de Abreu Santos; Gerardo Alves Fernandes Júnior; Rusbel Raul Aspilcueta-Borquis; André Vieira do Nascimento; Leonardo de Oliveira Seno; Humberto Tonhati; Henrique Nunes de Oliveira
Journal:  J Appl Genet       Date:  2019-11-01       Impact factor: 3.240

6.  Multiple-trait genomic evaluation for milk yield and milk quality traits using genomic and phenotypic data in buffalo in Brazil.

Authors:  R R Aspilcueta-Borquis; F R Araujo Neto; D J A Santos; N A Hurtado-Lugo; J A V Silva; H Tonhati
Journal:  Genet Mol Res       Date:  2015-12-22

Review 7.  Possibilities to breed for resistance to nematode parasite infections in small ruminants in tropical production systems.

Authors:  S C Bishop
Journal:  Animal       Date:  2012-05       Impact factor: 3.240

Review 8.  Invited review: overview of new traits and phenotyping strategies in dairy cattle with a focus on functional traits.

Authors:  C Egger-Danner; J B Cole; J E Pryce; N Gengler; B Heringstad; A Bradley; K F Stock
Journal:  Animal       Date:  2014-11-12       Impact factor: 3.240

9.  Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB.

Authors:  Zhi-Liang Hu; Carissa A Park; James M Reecy
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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