Literature DB >> 19912415

Molecular tests for coat colours in horses.

Stefan Rieder1.   

Abstract

Colour phenotypes may have played a major role during early domestication events and initial selection among domestic animal species. As coat colours mostly follow a relatively simple mode of Mendelian inheritance, they have been among the first traits to be systematically analysed at the molecular level. As a result of the number of genetic tools developed during the past decade, horse coat colour tests have been designed and are now commercially available for some of the basic phenotypes. These tests enable breeders to verify segregation within particular pedigrees, to select specific colour phenotypes according to market demand or studbook policies and to avoid complex inherited diseases associated with some of the colour patterns. This paper reviews the relevance of the topic, describes all currently available tests for coat colours in horses and addresses also ongoing research in this field.

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Year:  2009        PMID: 19912415     DOI: 10.1111/j.1439-0388.2009.00832.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  10 in total

1.  Synergy between MC1R and ASIP for coat color in horses (Equus caballus)1.

Authors:  Songyang Shang; Yan Yu; Yuxin Zhao; Wanyi Dang; Junpeng Zhang; Xia Qin; David M Irwin; Qin Wang; Fei Liu; Zhenshan Wang; Shuyi Zhang; Zhe Wang
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

2.  Distribution of coat-color-associated alleles in the domestic horse population and Przewalski's horse.

Authors:  Monika Reissmann; Lutfi Musa; Sonia Zakizadeh; Arne Ludwig
Journal:  J Appl Genet       Date:  2016-05-18       Impact factor: 3.240

3.  Accurate determination of phenotypic information from historic thoroughbred horses by single base extension.

Authors:  Michael G Campana; C Mark Whitten; Ceiridwen J Edwards; Frauke Stock; Angela M Murphy; Matthew M Binns; Graeme W W Barker; Mim A Bower
Journal:  PLoS One       Date:  2010-12-02       Impact factor: 3.240

4.  A genome-wide association study reveals loci influencing height and other conformation traits in horses.

Authors:  Heidi Signer-Hasler; Christine Flury; Bianca Haase; Dominik Burger; Henner Simianer; Tosso Leeb; Stefan Rieder
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

5.  Genome-wide analysis reveals differential selection involved with copy number variation in diverse Chinese Cattle.

Authors:  Liu Yang; Lingyang Xu; Bo Zhu; Hong Niu; Wengang Zhang; Jian Miao; Xinping Shi; Ming Zhang; Yan Chen; Lupei Zhang; Xue Gao; Huijiang Gao; Li Li; George E Liu; Junya Li
Journal:  Sci Rep       Date:  2017-10-30       Impact factor: 4.379

6.  One Hundred Years of Coat Colour Influences on Genetic Diversity in the Process of Development of a Composite Horse Breed.

Authors:  Carmen Marín Navas; Juan Vicente Delgado Bermejo; Amy Katherine McLean; José Manuel León Jurado; Antonio Rodríguez de la Borbolla Y Ruiberriz de Torres; Francisco Javier Navas González
Journal:  Vet Sci       Date:  2022-02-06

7.  A chromosomal region on ECA13 is associated with maxillary prognathism in horses.

Authors:  Heidi Signer-Hasler; Markus Neuditschko; Christoph Koch; Sylvie Froidevaux; Christine Flury; Dominik Burger; Tosso Leeb; Stefan Rieder
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

8.  Evaluating the potential roles of the Gray and Extension loci in the coat coloration of Thoroughbred racing horses.

Authors:  Takahiro Sakamoto; Jeffrey A Fawcett; Hideki Innan
Journal:  J Equine Sci       Date:  2017-07-06

9.  An Independent Locus Upstream of ASIP Controls Variation in the Shade of the Bay Coat Colour in Horses.

Authors:  Laura J Corbin; Jessica Pope; Jacqueline Sanson; Douglas F Antczak; Donald Miller; Raheleh Sadeghi; Samantha A Brooks
Journal:  Genes (Basel)       Date:  2020-05-30       Impact factor: 4.096

Review 10.  From the Eurasian Steppes to the Roman Circuses: A Review of Early Development of Horse Breeding and Management.

Authors:  Weronika Klecel; Elżbieta Martyniuk
Journal:  Animals (Basel)       Date:  2021-06-22       Impact factor: 2.752

  10 in total

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