Literature DB >> 34636442

Genome-wide association study of resistance/susceptibility to infectious bovine keratoconjunctivitis in Brazilian Hereford cattle.

H B Comin1,2, B P Sollero3, E B Gapar3, R Domingues3, F F Cardoso1,2,3.   

Abstract

Genome-wide association studies were conducted to identify the more informative genomic regions and SNPs, as well as to identify candidate genes associated with infectious bovine keratoconjunctivitis (IBK) resistance/susceptibility in Hereford cattle. A Bayes B statistical approach was initially applied in genome-wide association studies by using deregressed estimated breeding values for IBK resistance/susceptibility. To estimate the combined effect of a genomic region that is potentially associated with QTL, 2504 non-overlapping 1-Mb windows that varied in SNP number were defined, with the most informative 24 windows including 427 SNPs and explaining more than 20% of the estimated genetic variance for IBK resistance/susceptibility. These regions were explored with respect to their biological functions through functional analysis to map potential candidate genes. The significant SNPs were mapped on chromosomes 1, 3, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 18, 20, 23, and 28, and candidate genes were detected as related to the IBK. Most informative SNPs in term of genetic variance were located in proximity of genes related to phenotypic expression of lesions and biological processes associated to the IBK. Knowledge about phenotypic and genomic variation generated in the present study can be used to on design selection strategies to improve the resistance to IBK of Hereford cattle herds.
© 2021 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  Bayesian inference; beef cattle; candidate genes; functional analysis

Mesh:

Year:  2021        PMID: 34636442     DOI: 10.1111/age.13141

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  1 in total

1.  Whole genome sequencing of Moraxella bovis strains from North America reveals two genotypes with different genetic determinants.

Authors:  Emily L Wynn; Matthew M Hille; John Dustin Loy; Gennie Schuller; Kristen L Kuhn; Aaron M Dickey; James L Bono; Michael L Clawson
Journal:  BMC Microbiol       Date:  2022-10-21       Impact factor: 4.465

  1 in total

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