Literature DB >> 31957076

Genome-wide identification of runs of homozygosity islands in the Gyr breed (Bos indicus).

Alejandra Maria Toro Ospina1, Ricardo António da Silva Faria1, Anibal Eugenio Vercesi Filho2, Joslaine Noely Dos Santos Goncalves Cyrillo3, Maria Eugenia Zerlotti Mercadante3, Rogerio Abdallah Curi4, Josineudson Augusto Ii de Vasconcelos Silva4.   

Abstract

Runs of homozygosity (ROH) are contiguous homozygous regions of the genome. These regions can be used to identify genes associated with traits of economic interest, as well as inbreeding levels. The aim of the present study was to analyse the length and distribution of ROH islands in Gyr cattle and to identify genes within these regions. A population of 173 animals selected for beef production and a population of 291 animals selected for dairy production were used. Differences in the number of short ROH (ROH1-2 Mb ) were observed between the two populations, while the number of long ROH (ROH>16 Mb ) was similar. ROH islands with the highest incidences (>0.50) overlapped in several segments of the genome in the two populations. The genes identified were associated with milk production, growth, reproduction, immune response and resistance traits. Our results contribute to the understanding of how selection can shape the distribution of ROH and ROH islands within the same breed when animals are selected for different purposes such as dairy or beef production.
© 2020 Blackwell Verlag GmbH.

Entities:  

Keywords:  beef; dairy; dual-purpose; genes; inbreeding

Year:  2020        PMID: 31957076     DOI: 10.1111/rda.13639

Source DB:  PubMed          Journal:  Reprod Domest Anim        ISSN: 0936-6768            Impact factor:   2.005


  1 in total

1.  Identification of Runs of Homozygosity Islands and Genomic Estimated Inbreeding Values in Caqueteño Creole Cattle (Colombia).

Authors:  Alejandra M Toro-Ospina; Ana C Herrera Rios; Gustavo Pimenta Schettini; Viviana H Vallejo Aristizabal; Wellington Bizarria Dos Santos; Cesar A Zapata; Edna Gicela Ortiz Morea
Journal:  Genes (Basel)       Date:  2022-07-12       Impact factor: 4.141

  1 in total

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