Literature DB >> 35771897

Genetic architecture of a composite beef cattle population.

El Hamidi Hay1, Sajjad Toghiani2, Andrew J Roberts1, Tiago Paim3, Larry Alexander Kuehn4, Harvey D Blackburn5.   

Abstract

Composite breeds are widely used in the beef industry. Composites allow producers to combine desirable traits from the progenitor breeds and simplify herd management, without repeated crossbreeding and maintenance of purebreds. In this study, genomic information was used to evaluate the genetic composition and characteristics of a three-breed beef cattle composite. This composite population referred to as Composite Gene Combination (CGC) consisted of 50% Red Angus, 25% Charolais, and 25% Tarentaise. A total of 248 animals were used in this study: CGC (n = 79), Red Angus (n = 61), Charolais (n = 79), and Tarentaise (n = 29). All animals were genotyped with 777k HD panel. Principal component and ADMIXTURE analyses were carried out to evaluate the genetic structure of CGC animals. The ADMIXTURE revealed the proportion of Tarentaise increased to approximately 57%, whereas Charolais decreased to approximately 5% and Red Angus decreased to 38% across generations. To evaluate these changes in the genomic composition across different breeds and in CGC across generations, runs of homozygosity (ROH) were conducted. This analysis showed Red Angus to have the highest total length of ROH segments per animal with a mean of 349.92 Mb and lowest in CGC with a mean of 141.10 Mb. Furthermore, it showed the formation of new haplotypes in CGC around the sixth generation. Selection signatures were evaluated through Fst and HapFlk analyses. Several selection sweeps in CGC were identified especially in chromosomes 5 and 14 which have previously been reported to be associated with coat color and growth traits. The study supports our previous findings that progenitor combinations are not stable over generations and that either direct or natural selection plays a role in modifying the progenitor proportions. Furthermore, the results showed that Tarentaise contributed useful attributes to the composite in a cool semi-arid environment and suggests a re-exploration of this breed's role may be warranted. Published by Oxford University Press on behalf of the American Society of Animal Science 2022.

Entities:  

Keywords:  composite; runs of homozygosity; selection signatures

Mesh:

Year:  2022        PMID: 35771897      PMCID: PMC9467035          DOI: 10.1093/jas/skac230

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.338


  38 in total

1.  Genetic components for milk production of tarentaise, hereford, and tarentaise x hereford cows.

Authors:  D D Kress; D E Doornbos; D C Anderson; K C Davis
Journal:  J Anim Sci       Date:  1996-10       Impact factor: 3.159

2.  Detecting signatures of selection through haplotype differentiation among hierarchically structured populations.

Authors:  María Inés Fariello; Simon Boitard; Hugo Naya; Magali SanCristobal; Bertrand Servin
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

3.  Use of single nucleotide polymorphisms in candidate genes associated with daughter pregnancy rate for prediction of genetic merit for reproduction in Holstein cows.

Authors:  M S Ortega; A C Denicol; J B Cole; D J Null; P J Hansen
Journal:  Anim Genet       Date:  2016-02-28       Impact factor: 3.169

4.  Genome-wide association study for lactation persistency, female fertility, longevity, and lifetime profit index traits in Holstein dairy cattle.

Authors:  S Nayeri; M Sargolzaei; M K Abo-Ismail; S Miller; F Schenkel; S S Moore; P Stothard
Journal:  J Dairy Sci       Date:  2016-11-23       Impact factor: 4.034

5.  Pedigree analysis of 5 swine breeds in the United States and the implications for genetic conservation.

Authors:  C S Welsh; T S Stewart; C Schwab; H D Blackburn
Journal:  J Anim Sci       Date:  2010-02-26       Impact factor: 3.159

6.  Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle.

Authors:  Bart Buitenhuis; Luc L G Janss; Nina A Poulsen; Lotte B Larsen; Mette K Larsen; Peter Sørensen
Journal:  BMC Genomics       Date:  2014-12-15       Impact factor: 3.969

7.  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

8.  Validation of 46 loci associated with female fertility traits in cattle.

Authors:  Jennifer N Kiser; Elizabeth M Keuter; Christopher M Seabury; Mahesh Neupane; Joao G N Moraes; Joseph Dalton; Gregory W Burns; Thomas E Spencer; Holly L Neibergs
Journal:  BMC Genomics       Date:  2019-07-12       Impact factor: 3.969

9.  Genome-wide association and genotype by environment interactions for growth traits in U.S. Gelbvieh cattle.

Authors:  Johanna L Smith; Miranda L Wilson; Sara M Nilson; Troy N Rowan; David L Oldeschulte; Robert D Schnabel; Jared E Decker; Christopher M Seabury
Journal:  BMC Genomics       Date:  2019-12-04       Impact factor: 3.969

10.  Population Structure and Genomic Breed Composition in an Angus-Brahman Crossbred Cattle Population.

Authors:  Mesfin Gobena; Mauricio A Elzo; Raluca G Mateescu
Journal:  Front Genet       Date:  2018-03-27       Impact factor: 4.599

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