Literature DB >> 29294044

Population Networks Associated with Runs of Homozygosity Reveal New Insights into the Breeding History of the Haflinger Horse.

Thomas Druml1, Markus Neuditschko2, Gertrud Grilz-Seger3, Michaela Horna4, Anne Ricard5,6, Matjaz Mesaric7, Marco Cotman8, Hubert Pausch9, Gottfried Brem1.   

Abstract

Within the scope of current genetic diversity analyses, population structure and homozygosity measures are independently analyzed and interpreted. To enhance analytical power, we combined the visualization of recently described high-resolution population networks with runs of homozygosity (ROH). In this study, we demonstrate that this approach enabled us to reveal important aspects of the breeding history of the Haflinger horse. We collected high-density genotype information of 531 horses originating from 7 populations which were involved in the formation of the Haflinger, namely 32 Italian Haflingers, 78 Austrian Haflingers, 190 Noriker, 23 Bosnian Mountain Horses, 20 Gidran, 33 Shagya Arabians, and 155 Purebred Arabians. Model-based cluster analysis identified substructures within Purebred Arabian, Haflinger, and Noriker that reflected distinct genealogy (Purebred Arabian), geographic origin (Haflinger), and coat color patterns (Noriker). Analysis of ROH revealed that the 2 Arabian populations (Purebred and Shagya Arabians), Gidran and the Bosnian Mountain Horse had the highest genome proportion covered by ROH segments (306-397 Mb). The Noriker and the Austrian Haflinger showed the lowest ROH coverage (228, 282 Mb). Our combined visualization approach made it feasible to clearly identify outbred (admixture) and inbred (ROH segments) horses. Genomic inbreeding coefficients (FROH) ranged from 10.1% (Noriker) to 17.7% (Purebred Arabian). Finally it could be demonstrated, that the Austrian Haflinger sample has a lack of longer ROH segments and a deviating ROH spectrum, which is associated with past bottleneck events and the recent mating strategy favoring out-crosses within the breed.

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Year:  2018        PMID: 29294044     DOI: 10.1093/jhered/esx114

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


  10 in total

1.  Runs of homozygosity in Sable Island feral horses reveal the genomic consequences of inbreeding and divergence from domestic breeds.

Authors:  Julie Colpitts; Philip Dunstan McLoughlin; Jocelyn Poissant
Journal:  BMC Genomics       Date:  2022-07-12       Impact factor: 4.547

2.  Comparison of gluteus medius muscle activity in Haflinger and Noriker horses with polysaccharide storage myopathy.

Authors:  Rebeka Roza Zsoldos; Negar Khayatzadeh; Johann Soelkner; Ulrike Schroeder; Caroline Hahn; Theresia Franziska Licka
Journal:  J Anim Physiol Anim Nutr (Berl)       Date:  2021-02-20       Impact factor: 2.718

3.  High-resolution population structure and runs of homozygosity reveal the genetic architecture of complex traits in the Lipizzan horse.

Authors:  Gertrud Grilz-Seger; Thomas Druml; Markus Neuditschko; Max Dobretsberger; Michaela Horna; Gottfried Brem
Journal:  BMC Genomics       Date:  2019-03-05       Impact factor: 3.969

4.  Selection signatures in four German warmblood horse breeds: Tracing breeding history in the modern sport horse.

Authors:  Wietje Nolte; Georg Thaller; Christa Kuehn
Journal:  PLoS One       Date:  2019-04-25       Impact factor: 3.240

5.  The Genomic Makeup of Nine Horse Populations Sampled in the Netherlands.

Authors:  Anouk Schurink; Merina Shrestha; Susanne Eriksson; Mirte Bosse; Henk Bovenhuis; Willem Back; Anna M Johansson; Bart J Ducro
Journal:  Genes (Basel)       Date:  2019-06-25       Impact factor: 4.096

6.  Analysis of ROH patterns in the Noriker horse breed reveals signatures of selection for coat color and body size.

Authors:  G Grilz-Seger; T Druml; M Neuditschko; M Mesarič; M Cotman; G Brem
Journal:  Anim Genet       Date:  2019-06-14       Impact factor: 3.169

7.  Additional Evidence for DDB2 T338M as a Genetic Risk Factor for Ocular Squamous Cell Carcinoma in Horses.

Authors:  Moriel H Singer-Berk; Kelly E Knickelbein; Zachary T Lounsberry; Margo Crausaz; Savanna Vig; Nikhil Joshi; Monica Britton; Matthew L Settles; Christopher M Reilly; Ellison Bentley; Catherine Nunnery; Ann Dwyer; Mary E Lassaline; Rebecca R Bellone
Journal:  Int J Genomics       Date:  2019-09-15       Impact factor: 2.326

8.  Runs of Homozygosity and NetView analyses provide new insight into the genome-wide diversity and admixture of three German cattle breeds.

Authors:  Sowah Addo; Stefanie Klingel; Dirk Hinrichs; Georg Thaller
Journal:  PLoS One       Date:  2019-12-04       Impact factor: 3.240

9.  Genetic Diversity and Structure of the Main Danubian Horse Paternal Genealogical Lineages Based on Microsatellite Genotyping.

Authors:  Georgi Yordanov; Ivan Mehandjyiski; Nadezhda Palova; Nedyalka Atsenova; Boyko Neov; Georgi Radoslavov; Peter Hristov
Journal:  Vet Sci       Date:  2022-07-01

10.  Genome-wide survey on three local horse populations with a focus on runs of homozygosity pattern.

Authors:  Andrea Criscione; Salvatore Mastrangelo; Enrico D'Alessandro; Serena Tumino; Rosalia Di Gerlando; Alessandro Zumbo; Donata Marletta; Salvatore Bordonaro
Journal:  J Anim Breed Genet       Date:  2022-04-21       Impact factor: 3.271

  10 in total

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