Literature DB >> 17991156

Biology of epidermal and hair pigmentation in cattle: a mini-review.

Kangseok Seo1, Tushar R Mohanty, Tejeong Choi, Inho Hwang.   

Abstract

Coat colours in cattle have been of interest to both breeders and researchers as genes regulating pigmentation not only affect the phenotype but also have economic implications in the event of genetic mutations. The genes controlling pigmentation act as a complex and interact with each other to cause phenotypic and genotypic variations. Pigmentation of coat broadly depends on the ratio of eumelanin and pheomelanin, the two components of melanin. Increase in eumelanin imparts a black coat colour while raise in pheomelanin is responsible for a yellowish or reddish colour. The main enzymes responsible for melanogenesis are regulated by the genes of the tyrosinase family. It is speculated that the wild-type gene present in the ancestral breeds of the present day cattle have more pheomelanin content and that, over time, mutations have introduced more variations leading to many shades. This could have occurred either because of interactions or because of deletions in the responsible genes. The environmental conditions have also contributed to mutations in these genes, helping in the adaptability of the animals to different geographical regions. The switching between the syntheses of melanin components depends on several genes like melanocortin-1receptor gene (MC1r) - also known as melanocyte-stimulating hormone receptor gene (MSHr)-, agouti (A), attractin (Atrn) and mahogunin (Mgrn1). The purpose of this review is to summarize the recent advances in the field of pigment biology and to highlight possible areas of research that may benefit a breeder or a farmer in the selection of animals on the basis of phenotype.

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Year:  2007        PMID: 17991156     DOI: 10.1111/j.1365-3164.2007.00634.x

Source DB:  PubMed          Journal:  Vet Dermatol        ISSN: 0959-4493            Impact factor:   1.589


  16 in total

1.  Genome-Wide Scan for Adaptive Divergence and Association with Population-Specific Covariates.

Authors:  Mathieu Gautier
Journal:  Genetics       Date:  2015-10-19       Impact factor: 4.562

2.  Massively parallel sequencing of Chikso (Korean brindle cattle) to discover genome-wide SNPs and InDels.

Authors:  Jung-Woo Choi; Xiaoping Liao; Sairom Park; Heoyn-Jeong Jeon; Won-Hyong Chung; Paul Stothard; Yeon-Soo Park; Jeong-Koo Lee; Kyung-Tai Lee; Sang-Hwan Kim; Jae-Don Oh; Namshin Kim; Tae-Hun Kim; Hak-Kyo Lee; Sung-Jin Lee
Journal:  Mol Cells       Date:  2013-08-01       Impact factor: 5.034

3.  Using regulatory and epistatic networks to extend the findings of a genome scan: identifying the gene drivers of pigmentation in merino sheep.

Authors:  Elsa García-Gámez; Antonio Reverter; Vicki Whan; Sean M McWilliam; Juan José Arranz; James Kijas
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

4.  Admixture mapping of tuberculosis and pigmentation-related traits in an African-European hybrid cattle population.

Authors:  Yonas Kassahun; Valeria Mattiangeli; Gobena Ameni; Elena Hailu; Abraham Aseffa; Douglas B Young; R Glyn Hewinson; H Martin Vordermeier; Daniel G Bradley
Journal:  Front Genet       Date:  2015-06-15       Impact factor: 4.599

5.  Substantial Effect of Melanin Influencing Factors on In vitro Melanogenesis in Muzzle Melanocytes of Differently Colored Hanwoo.

Authors:  Touseef Amna; Kyoung Mi Park; In-Kyung Cho; Tae Jeong Choi; Seung Soo Lee; Kang-Seok Seo; Inho Hwang
Journal:  Asian-Australas J Anim Sci       Date:  2012-07       Impact factor: 2.509

6.  Determination of Genetic Diversity among Korean Hanwoo Cattle Based on Physical Characteristics.

Authors:  T J Choi; S S Lee; D H Yoon; H S Kang; C D Kim; I H Hwang; C Y Kim; X Jin; C G Yang; K S Seo
Journal:  Asian-Australas J Anim Sci       Date:  2012-09       Impact factor: 2.509

7.  A whole genome Bayesian scan for adaptive genetic divergence in West African cattle.

Authors:  Mathieu Gautier; Laurence Flori; Andrea Riebler; Florence Jaffrézic; Denis Laloé; Ivo Gut; Katayoun Moazami-Goudarzi; Jean-Louis Foulley
Journal:  BMC Genomics       Date:  2009-11-21       Impact factor: 3.969

8.  The genome response to artificial selection: a case study in dairy cattle.

Authors:  Laurence Flori; Sébastien Fritz; Florence Jaffrézic; Mekki Boussaha; Ivo Gut; Simon Heath; Jean-Louis Foulley; Mathieu Gautier
Journal:  PLoS One       Date:  2009-08-12       Impact factor: 3.240

9.  Genome-wide scan for selection signatures in six cattle breeds in South Africa.

Authors:  Sithembile O Makina; Farai C Muchadeyi; Este van Marle-Köster; Jerry F Taylor; Mahlako L Makgahlela; Azwihangwisi Maiwashe
Journal:  Genet Sel Evol       Date:  2015-11-26       Impact factor: 4.297

10.  Whole-genome analyses of Korean native and Holstein cattle breeds by massively parallel sequencing.

Authors:  Jung-Woo Choi; Xiaoping Liao; Paul Stothard; Won-Hyong Chung; Heoyn-Jeong Jeon; Stephen P Miller; So-Young Choi; Jeong-Koo Lee; Bokyoung Yang; Kyung-Tai Lee; Kwang-Jin Han; Hyeong-Cheol Kim; Dongkee Jeong; Jae-Don Oh; Namshin Kim; Tae-Hun Kim; Hak-Kyo Lee; Sung-Jin Lee
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

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