Literature DB >> 30590570

Genetic Diversity of Persian Arabian Horses and Their Relationship to Other Native Iranian Horse Breeds.

Raheleh Sadeghi1,2, Mohammad Moradi-Shahrbabak1, Seyed Reza Miraei Ashtiani1, Florencia Schlamp3, Elissa J Cosgrove3, Doug F Antczak2.   

Abstract

The principal aims of this study were to explore genetic diversity and genome-wide selection signatures in Persian Arabian horses and to determine genetic relationship of Persian Arabians with other Iranian horse breeds. We evaluated 71 horses from 8 matrilineal strains tracing to 47 mares from the mid to late 19th century, using the equine 670k single nucleotide polymorphism (SNP) BeadChip. Mean observed and expected heterozygosity were (0.43) and (0.45), respectively, average inbreeding measures (inbreeding estimates based on runs of homozygosity and pedigree information) were low, indicating high genetic diversity in Persian Arabian horses. Analysis of population genetic structure using STRUCTURE and principal component analysis suggested that Persian Arabian horses can be divided into 3 groups, however the groups do not match traditional matrilineal strains. In total, 15 genomic regions were identified by at least 2 of the 3 implemented methods, Tajima's D, H, and H12, as potentially under selection in Persian Arabian horses. Most of these peaks were found on chromosome 9, overlapping with QTLs previously associated with horse temperament. Biological function analysis of identified candidate genes highlighted enrichment of GO term "response to lipopolysaccharide" and KEGG pathway "chemokine-mediated signaling pathway," which are associated with immune responses and may have been targets of selection in Persian Arabian horses. Independent analyses of SNP data from 30 horses of 4 other Iranian breeds suggested distinct population structure between Persian Arabian, and Turkemen and Caspian horse breeds. Overall, the results of this study suggest a rich genetic diversity in the Persian Arabian horses and a clear genetic differentiation with Turkemen and Caspian breeds. © The American Genetic Association 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Persian Arabian horse; ROH; SNP; genetic diversity; selective sweeps; structure

Mesh:

Year:  2019        PMID: 30590570     DOI: 10.1093/jhered/esy061

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  5 in total

Review 1.  Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era.

Authors:  T Raudsepp; C J Finno; R R Bellone; J L Petersen
Journal:  Anim Genet       Date:  2019-09-30       Impact factor: 3.169

2.  A QTL for conformation of back and croup influences lateral gait quality in Icelandic horses.

Authors:  Maria K Rosengren; Heiðrún Sigurðardóttir; Marina Solé; Gabriella Lindgren; Susanne Eriksson; Rakan Naboulsi; Ahmad Jouni; Miguel Novoa-Bravo; Elsa Albertsdóttir; Þorvaldur Kristjánsson; Marie Rhodin; Åsa Viklund; Brandon D Velie; Juan J Negro
Journal:  BMC Genomics       Date:  2021-04-14       Impact factor: 3.969

3.  Apparent Breed Predilection for Equid Herpesvirus-1-Associated Myeloencephalopathy (EHM) in a Multiple-Breed Herd.

Authors:  Eva Klouth; Yury Zablotski; Lutz S Goehring
Journal:  Pathogens       Date:  2021-04-29

4.  Genetic Diversity in the Italian Holstein Dairy Cattle Based on Pedigree and SNP Data Prior and After Genomic Selection.

Authors:  Michela Ablondi; Alberto Sabbioni; Giorgia Stocco; Claudio Cipolat-Gotet; Christos Dadousis; Jan-Thijs van Kaam; Raffaella Finocchiaro; Andrea Summer
Journal:  Front Vet Sci       Date:  2022-01-13

5.  Genome Diversity and the Origin of the Arabian Horse.

Authors:  Elissa J Cosgrove; Raheleh Sadeghi; Florencia Schlamp; Heather M Holl; Mohammad Moradi-Shahrbabak; Seyed Reza Miraei-Ashtiani; Salma Abdalla; Ben Shykind; Mats Troedsson; Monika Stefaniuk-Szmukier; Anil Prabhu; Stefania Bucca; Monika Bugno-Poniewierska; Barbara Wallner; Joel Malek; Donald C Miller; Andrew G Clark; Douglas F Antczak; Samantha A Brooks
Journal:  Sci Rep       Date:  2020-06-16       Impact factor: 4.379

  5 in total

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