Coat Color Phenotypes Research Articles

PSIV-9 Pedigree tracing to determine the origin of the golden coat phenotype within the Golden American Saddlebred horse

Abstract With the incorporation of the Golden American Saddlebred Horse Association (GASHA) into the American Saddlebred Horse Association (ASHA), breeding specifically for coat color within the breed registry became less of an emphasis for horse breeders. Nevertheless, historical documentation of the horses making up the foundation of the GASHA through the application of pedigree tracing holds value in understanding the origin of the breed and its coat color. This can be of value to horse breeders targeting a specific coat color as the study of coat colors is a relatively new field of research within equine science. Thus, the objective of this study was to document the historical origins of the GASHA through pedigree tracing to determine the influence of the dilution genes that produce the golden coat phenotype. A random sample of 550 horses was obtained from the Official Directory of GASHA. Using the All-Breed Data Base, sampled horses were entered and examined for pedigrees suitable for analysis of color inheritance, and of these, 507 were found to have extended pedigrees with documented coat colors that were used for this study. Results determined that 43% of traced pedigrees carried the champagne gene, 36.1% carried the cream gene, and 20% had pedigrees that were non-informative as these pedigrees went to unknown ancestors or were found to be incorrect as to ancestry. Another 0.9% were determined to be obligate carriers for the cream gene; as the pedigrees presented conflict concerning color designation so that accurate conclusion of coat color phenotype associated with the cream dilution gene could not be verified. Of the 507, all traced back to 6 foundation mares and most of the breed traced back to 2 of these mares; with one mare, Maud, being a champagne mutation and the other, Allens Queen, a cream mutation (Table 1). In conclusion, through pedigree tracing the GASHA origins were documented giving an understanding as to the genetic contributions for today’s GASHA golden coat color. Further, these results will give breeders more input on how they might select for certain coat color phenotypes.

Agouti-Signaling Protein and Melanocortin-1-Receptor Mutations Associated with Coat Color Phenotypes in Fallow Deer (Dama dama).

Four dominant coat color phenotypes are found in fallow deer (Dama dama). Brown is the most common. Black, menil, and white occur with varying frequencies. In order to gain insights into the molecular genetic background of these phenotypes, 998 fallow animals (772 brown, 62 black, 126 menil, and 38 white) were examined for mutations in the ASIP, MC1R, TYR, and SLC45A2 genes. In ASIP, two mutations (ASIP-M-E2, located at the boundary from exon 2 to intron 2; and ASIP-M-E3, an InDel of five nucleotides) were found, leading to black fallow deer being either homozygous or heterozygous in combination. There were also two mutations found in MC1R. Whereby the mutation MC1R-M1 (leucine to proline, L48P) homozygous leads to a white coat, while the mutation MC1R-M2 (glycine to aspartic acid, G236D) homozygous is associated with the menil phenotype. When both mutations occur together in a heterozygous character state, it results in a menil coat. Since the mutations in the two genes are only present alternatively, 36 genotypes can be identified that form color clusters to which all animals can be assigned. No mutations were found in the TYR and SLC45A2 genes. Our investigations demonstrate that the four dominant coat colors in fallow deer can be explained by ASIP and MC1R mutations only.

Coloration in Equine: Overview of Candidate Genes Associated with Coat Color Phenotypes.

Variation in coat color among equids has attracted significant interest in genetics and breeding research. The range of colors is primarily determined by the type, concentration, and distribution of melanin pigments, with the balance between eumelanin and pheomelanin influenced by numerous genetic factors. Advances in genomic and sequencing technologies have enabled the identification of several candidate genes that influence coat color, thereby clarifying the genetic basis of these diverse phenotypes. In this review, we concisely categorize coat coloration in horses and donkeys, focusing on the biosynthesis and types of melanin involved in pigmentation. Moreover, we highlight the regulatory roles of some key candidate genes, such as MC1R, TYR, MITF, ASIP, and KIT, in coat color variation. Moreover, the review explores how coat color relates to selective breeding and specific equine diseases, offering valuable insights for developing breeding strategies that enhance both the esthetic and health aspects of equine species.

Canine coat color E locus updates: Identification of a new MC1R variant causing 'sable' coat color in English Cocker Spaniels and a proposed update to the E locus dominance hierarchy.

The coat color phenotype 'sable' occurs in the English Cocker Spaniel dog breed. It closely resembles other canine color patterns known as domino/grizzle/pied (eA allele) and grizzle/domino (eG allele) determined by variants in the melanocortin 1 receptor gene (MC1R; 'extension' or E locus), a key multi-allele regulator of coat color. We examined genetic variation in MC1R, and found one new non-synonymous variant, c.250G>A (p.(Asp84Asn)), consistently associated with the English Cocker Spaniel 'sable' phenotype. We propose calling this newly identified allele eH and further show that the eA , eH and eG (previously known as EG ) alleles associate with similar phenotypes in dogs impacting genotypes regulated by beta-defensin 103 gene (CBD103; K locus) and agouti signaling protein gene (ASIP; A locus) in the absence of the EM and E alleles. This suggests that all three alleles are putative reduced-function variants of the MC1R gene. We propose the revised and updated E locus dominance hierarchy to be EM > E > eA /eH /eG > e1-3 .

Genetic diversity and recent ancestry based on whole-genome sequencing of endangered Swedish cattle breeds.

Several indigenous cattle breeds in Sweden are endangered. Conservation of their genetic diversity and genomic characterization is a priority.Whole-genome sequences (WGS) with a mean coverage of 25X, ranging from 14 to 41X were obtained for 30 individuals of the breeds Fjällko, Fjällnära, Bohuskulla, Rödkulla, Ringamåla, and Väneko. WGS-based genotyping revealed 22,548,028 variants in total, comprising 18,876,115 single nucleotide polymorphisms (SNPs) and 3,671,913 indels. Out of these, 1,154,779 SNPs and 304,467 indels were novel. Population stratification based on roughly 19 million SNPs showed two major groups of the breeds that correspond to northern and southern breeds. Overall, a higher genetic diversity was observed in the southern breeds compared to the northern breeds. While the population stratification was consistent with previous genome-wide SNP array-based analyses, the genealogy of the individuals inferred from WGS based estimates turned out to be more complex than expected from previous SNP-array based estimates. Polymorphisms and their predicted phenotypic consequences were associated with differences in the coat color phenotypes between the northern and southern breeds. Notably, these high-consequence polymorphisms were not represented in SNP arrays, which are used routinely for genotyping of cattle breeds.This study is the first WGS-based population genetic analysis of Swedish native cattle breeds. The genetic diversity of native breeds was found to be high. High-consequence polymorphisms were linked with desirable phenotypes using whole-genome genotyping, which highlights the pressing need for intensifying WGS-based characterization of the native breeds.

Genome-wide detection of selection signatures in Jianli pigs reveals novel cis-regulatory haplotype in EDNRB associated with two-end black coat color

BackgroundJianli pig, a renowned indigenous breed in China, has the characteristics of a two-end black (TEB) coat color, excellent meat quality, strong adaptability and increased prolificacy. However, there is limited information available regarding the genetic diversity, population structure and genomic regions under selection of Jianli pig. On the other hand, the genetic mechanism of TEB coat color has remained largely unknown.ResultsIn this study, the whole genome resequencing of 30 Jianli pigs within a context of 153 individuals representing 13 diverse breeds was performed. The population structure analysis revealed that Jianli pigs have close genetic relationships with the Tongcheng pig breed, their geographical neighbors. Three methods (observed heterozygosity, expected heterozygosity, and runs of homozygosity) implied a relatively high level of genetic diversity and, a low inbreeding coefficient in Jianli compared with other pigs. We used Fst and XP-EHH to detect the selection signatures in Jianli pigs compared with Asian wild boar. A total of 451 candidate genes influencing meat quality (CREBBP, ADCY9, EEPD1 and HDAC9), reproduction (ESR1 and FANCA), and coat color (EDNRB, MITF and MC1R), were detected by gene annotation analysis. Finally, to fine-map the genomic region for the two-end black (TEB) coat color phenotype in Jianli pigs, we performed three signature selection methods between the TEB coat color and no-TEB coat color pig breeds. The current study, further confirmed that the EDNRB gene is a candidate gene for TEB color phenotype found in Chinese pigs, including Jinhua pigs, and the haplotype harboring 25 SNPs in the EDNRB gene may promote the formation of TEB coat color. Further ATAC-seq and luciferase reporter assays of these regions suggest that the 25-SNPs region was a strong candidate causative mutation that regulates the TEB coat color phenotype by altering enhancer function.ConclusionOur results advanced the understanding of the genetic mechanism behind artificial selection, and provided further resources for the protection and breeding improvement of Jianli pigs.

Identification of polymorphisms in melanocortin 1 receptor gene and their association with coat color variants in Black Bengal goat

The aim of this study was to identify polymorphisms in the entire coding regions of the Melanocortin 1 Receptor (MC1R) gene and their possible associations with coat color variants of the Black Bengal goat (BBG) of Bangladesh. Forty blood samples representing five distinct color variants of BBG (Solid Black, Toggenburg, Dutch Belt, White and Brown) were collected from Bangladesh Livestock Research Institute, Savar, Dhaka. Two PCR amplicons that harbored entire coding region were sequenced both forward and reverse directions. Multiple sequence alignment identified four single nucleotide polymorphisms (SNPs) based on Capra hircus reference sequence (MT186778.1). Among them, only one was identified as synonymous type (c.183C>T; p.61A) and the remaining three were non-synonymous in nature (c.676A>G, c.748G>T, and c.801C>G), causing amino acid substitutions as p.K226E, p.V250F, and p.C267W, respectively. Twelve haplotypes were defined by four substitutions where four haplotypes (Hap6, Hap7, Hap8, and Hap9) were found white-color goat-specific involving c.801C>G mutation that might be associated with white coat color phenotype of BBG. Furthermore, white goats had the highest haplotype (0.879±0.08) and nucleotide diversity (0.0017±0.0002). The UPGMA phylogenetic tree revealed two separate clusters, one of which included all color variants of BBG and major domestic goat populations (Capra hircus) from various countries. The haplotype sharing features suggest that the coat color phenotypes of BBG were not solely attributable to the MC1R gene. However, more detailed investigation with large samples from diverse populations across the country was required to draw a precise conclusion.

Expression and tissue distribution analysis of vimentin and transthyretin proteins associated with coat colors in sheep (Ovis aries).

Pigment production and distribution are controlled through multiple proteins, resulting in different coat color phenotypes of sheep. The expression distribution of vimentin (VIM) and transthyretin (TTR) in white and black sheep skins was detected by liquid chromatography-electrospray ionization tandem MS (LC-ESI-MS/MS), gene ontology (GO) statistics, immunohistochemistry, Western blot, and quantitative real time polymerase chain reaction (qRT-PCR) to evaluate their role in the coat color formation of sheep. LC-ESI-MS/MS results showed VIM and TTR proteins in white and black skin tissues of sheep. Meanwhile, GO functional annotation analysis suggested that VIM and TTR proteins were mainly concentrated in cellular components and biological process, respectively. Further research confirmed that VIM and TTR proteins were expressed at significantly higher levels in black sheep skins than in white sheep skins by Western blot, respectively. Immunohistochemistry notably detected VIM and TTR in hair follicle, dermal papilla, and outer root sheath of white and black sheep skins. qRT-PCR results also revealed that the expression of VIM and TTR mRNAs was higher in black sheep skins than in white sheep skins. The expression of VIM and TTR were higher in black sheep skins than in white sheep skins and the transcription and translation were unanimous in this study. VIM and TTR proteins were expressed in hair follicles of white and black sheep skins. These results suggested that VIM and TTR were involved in the coat color formation of sheep.

Understanding key genetic make-up of different coat colour in Bayinbuluke sheep through a comparative transcriptome profiling analysis

Coat color is a distinctive feature of mammals, especially in distinguishing animal breeds, and the diversity of animal coat color provides an important model phenotype for exploring gene roles and studying gene mutations. Selective breeding programs can be used to enhance or modify certain physical traits in Bayinbuluke sheep, including their coat color. To elaborately understand the differential expression of coat tissue of Bayinbuluke sheep with respect to coat colour and genetic make ups, the molecular mechanism of the difference in coat color phenotype of the sheep's head and neck was explored through RT-PCR assay based transcriptomic analysis. In this study, sixteen samples of coat tissues of 8 individuals Bayinbuluke sheep with different hair colors were collected for transcriptome sequencing analysis, and the differential expression genes of MEwhite module in BL vs BR group and WGCNA were analyzed by gene ontology and Kyoto Gene Encyclopedia enrichment, and the results were significantly enriched in G protein-coupled receptor, transmembrane signaling receptor activity, tyrosine metabolism, melanin production and other metabolic pathways. The identified DCT, ASIP, GPR143, PMEL, TYRP1 and MC1R genes Bayinbuluke sheep coat have all been linked with important roles in the regulation of melanin synthesis as immune stability. Therefore, understanding the genetic and molecular basis of these pathways can help in developing novel approaches in sheep coat colour as well as improved sheep immunity.

ASIP gene polymorphism associated with black coat and skin color in Murrah buffalo.

The melanogenesis pathway regulates pigmentation through the synergic action of various genes. We are interested in analyzing the genetic variations in the ASIP which determine eumelanin production in the dermis layer. In the present study, the ASIP gene was characterized in buffalo and 268 genetically unrelated buffaloes belonging to 10 different populations were genotyped for the non-synonymous SNP (c.292C>T) identified in the exon 3 region of the gene using Tetra-ARMS-PCR. The TT genotype occurred at a higher rate in Murrah, followed by Nili Ravi, Tripura, and Paralakhemundi (42.63%, 19.30%, 3.45%, and 3.33%). These results convey the association of the black coat color of Murrah with the ASIP gene TT genotype and the lighter shades of black coat (brown and grayish-black) color phenotype in other breeds with the CC genotype.

Open AccessLack of association between coat color abnormalities in Bali cattle (Bos javanicus) and the coding regions of the MC1R and KIT genes.

Coat color variations in cattle are known to be influenced by the melanocortin 1 receptor (MC1R) and receptor tyrosine kinase (KIT) genes. The presence of coat color abnormalities, such as white spots and albinism, in Bali cattle was the focus of this study. This study aimed to identify single nucleotide polymorphisms (SNPs) in the coding region of MC1R and exons 2 and 3 of KIT associated with coat color abnormalities in Bali cattle. The study included the analysis of 48 Bali cattle, including 20 individuals with standard coat color, 15 with white spots, and 13 with albinism. Total DNA was extracted using a DNA Extraction Kit, and MC1R (coding region) and KIT (exons 2 and 3) gene amplifications were analyzed using forward and reverse primers with polymerase chain reaction product lengths of 1071, 234, and 448 bp, respectively. The determination of MC1R and KIT gene diversity was analyzed through direct sequencing. Melanocortin 1 receptor and KIT gene sequence data were analyzed using BioEdit and MEGA6 to identify SNPs associated with standard and abnormal coat color phenotypes (white-spotted and albino) in Bali cattle. No SNPs associated with coat color abnormalities were found in the coding region of MC1R and exons 2 and 3 of KIT genes in Bali cattle. However, the intron two regions of KIT contained the SNP g.70208534A>G, which showed a high degree of diversity. The AA genotype frequency was highest in albino Bali cattle, whereas the G allele frequency was highest and the A allele frequency was lowest in white-spotted Bali cattle. The results indicated that standard, white-spotted, and albino coat colors in Bali cattle could not be distinguished by analyzing the MC1R and KIT genes.

Juvenile Idiopathic Epilepsy in Arabian Horses is not a Single Gene Disorder.

Valued for their temperament, beauty, athletic ability, and exhibition in the show ring, Arabian horses are an important component of the horse industry. Juvenile Idiopathic Epilepsy (JIE), a seizure disorder, is most often reported in Arabian foals from birth to six months of age. Affected foals exhibit tonic-clonic seizures lasting as long as five minutes and risking secondary complications like temporary blindness and disorientation. Some foals outgrow this condition, while others die or suffer lifelong complications if not treated. Previous work suggested a strong genetic component to JIE and proposed JIE to be a single-gene trait. In this work we conducted a GWAS in 60 cases of JIE and 120 genetically matched controls, identifying loci suggesting JIE is not caused by a single locus. Coat color (chestnut, grey) phenotypes were used as positive control traits to assess the efficacy of GWAs in this population. Future work will attempt to future define candidate regions and explore a polygenic mode of inheritance.

Phenotype of White Sika Deer Due to SCF Gene Structural Variation.

Breeding ornamental white sika deer is a new notion that can be used to broaden the sika deer industry However, it is very rare for other coat phenotypes to occur, especially white (apart from albinism), due to the genetic stability and homogeneity of its coat color phenotype, making it difficult to breed white sika deer between species. We found a white sika deer and sequenced its whole genome. Then, the clean data obtained were analyzed on the basis of gene frequency, and a cluster of coat color candidate genes containing 92 coat color genes, one SV (structure variation), and five nonsynonymous SNPs (single nucleotide polymorphisms) was located. We also discovered a lack of melanocytes in the skin tissue of the white sika deer through histological examination, initially proving that the white phenotype of sika deer is caused by a 10.099 kb fragment deletion of the SCF gene(stem cell factor). By designing SCF-specific primers to detect genotypes of family members of the white sika deer, and then combining them with their phenotypes, we found that the genotype of the white sika deer is SCF789/SCF789, whereas that of individuals with white patches on their faces is SCF789/SCF1-9. All these results showed that the SCF gene plays an important role in the development of melanocytes in sika deer and is responsible for the appearance of the white coat color. This study reveals the genetic mechanism of the white coat color in sika deer and supplies data as a reference for breeding white ornamental sika deer.

Genetic diversity and selection of Tibetan sheep breeds revealed by whole-genome resequencing.

This study aimed to elucidate the underlying gene regions responsible for productive, phenotypic or adaptive traits in different ecological types of Tibetan sheep and the discovery of important genes encoding valuable traits. We used whole-genome resequencing to explore the genetic relationships, phylogenetic tree, and population genetic structure analysis. In addition, we identified 28 representative Tibetan sheep single-nucleotide polymorphisms (SNPs) and genomic selective sweep regions with different traits in Tibetan sheep by fixation index (Fst) and the nucleotide diversity (θπ) ratio. The genetic relationships analysis showed that each breed partitioned into its own clades and had close genetic relationships. We also identified many potential breed-specific selective sweep regions, including genes associated with hypoxic adaptability (MTOR, TRHDE, PDK1, PTPN9, TMTC2, SOX9, EPAS1, PDGFD, SOCS3, TGFBR3), coat color (MITF, MC1R, ERCC2, TCF25, ITCH, TYR, RALY, KIT), wool traits (COL4A2, ERC2, NOTCH2, ROCK1, FGF5, SOX9), and horn phenotypes (RXFP2). In particular, a horn-related gene, RXFP2, showed the four most significantly associated SNP loci (g. 29481646 A>G, g. 29469024 T>C, g. 29462010 C>T, g. 29461968 C>T) and haplotypes. This finding demonstrates the potential for genetic markers in future molecular breeding programs to improve selection for horn phenotypes. The results will facilitate the understanding of the genetic basis of production and adaptive unique traits in Chinese indigenous Tibetan sheep taxa and offer a reference for the molecular breeding of Tibetan sheep.

White coat color of a Black Angus calf attributed to an occurrence of the delR217 variant of MITF.

A white calf, with minimal pigmented markings, was born to two registered Black Angus parents. Given the possibility of an unknown recessive or de novo dominant mutation, whole-genome sequencing was conducted on the trio of individuals. A 3-bp in-frame deletion in MITF was identified; this mutation was unique to the calf but identical to the delR217 variant reported in both humans and murine models of Waardenburg syndrome type 2A and Tietz syndrome. Given the coat color phenotype and identity of the mutation, our data support that this calf represents the first instance of this recurring MITF mutation in cattle.

Genome-wide association study for the extractable phenolic profile and coat color of common bean seeds (Phaseolus vulgaris L.)

BackgroundA large variation in seed coat colors and seed phenolic metabolites is present in common bean (Phaseolus vulgaris L.). The study of the relationships between seed coat color phenotype and the phenolic profile is an important step in the elucidation of the gene network involved in the phenylpropanoid biosynthetic pathway. However, this relationship is still poorly understood in this species.ResultsA genome-wide association study (GWAS) was used to investigate the genomic regions associated with the synthesis of 10 flavonoids (5 anthocyanins and 5 flavonols) and with 10 seed coat color traits using a set of 308 common bean lines of the Spanish Diversity Panel (SDP) which have been genotyped with 11,763 SNP markers.. A total of 31 significant SNP-trait associations (QTNs) were identified, grouped in 20 chromosome regions: 6 for phenolic metabolites on chromosomes Pv01, Pv02, Pv04, Pv08, and Pv09, 13 for seed coat color on chromosomes Pv01, Pv02, Pv06, Pv07, and Pv10, and 1 including both types of traits located on chromosome Pv08. In all, 58 candidate genes underlying these regions have been proposed, 31 of them previously described in the phenylpropanoid pathway in common bean, and 27 of them newly proposed in this work based on the association study and their homology with Arabidopsis anthocyanin genes.ConclusionsChromosome Pv08 was identified as the main chromosome involved in the phenylpropanoid pathway and in consequence in the common bean seed pigmentation, with three independent chromosome regions identified, Phe/C_Pv08(2.7) (expanding from 2.71 to 4.04 Mbp), C_Pv08(5.8) (5.89–6.59 Mbp), and Phe_Pv08(62.5) (62.58 to 63.28 Mbp). Candidate genes previously proposed by other authors for the color genes V and P were validated in this GWAS. Candidate genes have been tentatively proposed from this study for color genes B and Rk on Pv02, Asp on Pv07, and complex C on Pv08. These results help to clarify the complex network of genes involved in the genetic control of phenolic compounds and seed color in common bean and provide the opportunity for future validation studies.

Integrative QTL mapping and selection signatures in Groningen White Headed cattle inferred from whole-genome sequences.

Here, we aimed to identify and characterize genomic regions that differ between Groningen White Headed (GWH) breed and other cattle, and in particular to identify candidate genes associated with coat color and/or eye-protective phenotypes. Firstly, whole genome sequences of 170 animals from eight breeds were used to evaluate the genetic structure of the GWH in relation to other cattle breeds by carrying out principal components and model-based clustering analyses. Secondly, the candidate genomic regions were identified by integrating the findings from: a) a genome-wide association study using GWH, other white headed breeds (Hereford and Simmental), and breeds with a non-white headed phenotype (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel, Dutch Belted, and Holstein Friesian); b) scans for specific signatures of selection in GWH cattle by comparison with four other Dutch traditional breeds (Dutch Friesian, Deep Red, Meuse-Rhine-Yssel and Dutch Belted) and the commercial Holstein Friesian; and c) detection of candidate genes identified via these approaches. The alignment of the filtered reads to the reference genome (ARS-UCD1.2) resulted in a mean depth of coverage of 8.7X. After variant calling, the lowest number of breed-specific variants was detected in Holstein Friesian (148,213), and the largest in Deep Red (558,909). By integrating the results, we identified five genomic regions under selection on BTA4 (70.2–71.3 Mb), BTA5 (10.0–19.7 Mb), BTA20 (10.0–19.9 and 20.0–22.7 Mb), and BTA25 (0.5–9.2 Mb). These regions contain positional and functional candidate genes associated with retinal degeneration (e.g., CWC27 and CLUAP1), ultraviolet protection (e.g., ERCC8), and pigmentation (e.g. PDE4D) which are probably associated with the GWH specific pigmentation and/or eye-protective phenotypes, e.g. Ambilateral Circumocular Pigmentation (ACOP). Our results will assist in characterizing the molecular basis of GWH phenotypes and the biological implications of its adaptation.

An SNN retrocopy insertion upstream of GPR22 is associated with dark red coat color in Poodles.

Pigment production and distribution is controlled through multiple genes, resulting in a wide range of coat color phenotypes in dogs. Dogs that produce only the pheomelanin pigment vary in intensity from white to deep red. The Poodle breed has a wide range of officially recognized coat colors, including the pheomelanin-based white, cream, apricot, and red coat colors, which are not fully explained by the previously identified genetic variants involved in pigment intensity. Here, a genome-wide association study for pheomelanin intensity was performed in Poodles which identified an association on canine chromosome 18. Whole-genome sequencing data revealed an SNN retrocopy insertion (SNNL1) in apricot and red Poodles within the associated region on chromosome 18. While equal numbers of melanocytes were observed in all Poodle skin hair bulbs, higher melanin content was observed in the darker Poodles. Several genes involved in melanogenesis were also identified as highly overexpressed in red Poodle skin. The most differentially expressed gene however was GPR22, which was highly expressed in red Poodle skin while unexpressed in white Poodle skin (log2 fold change in expression 6.1, P < 0.001). GPR22 is an orphan G-protein-coupled receptor normally expressed exclusively in the brain and heart. The SNNL1 retrocopy inserted 2.8 kb upstream of GPR22 and is likely disrupting regulation of the gene, resulting in atypical expression in the skin. Thus, we identify the SNNL1 insertion as a candidate variant for the CFA18 pheomelanin intensity locus in red Poodles.

Editing MC1R in human melanoma cells by CRISPR/Cas9 and functional analysis.

MC1R (melanocortin 1 receptor) encodes the melanocortin-1 receptor, which can activate intracellular cAMP synthesis under the stimulation of the α-melanocyte stimulating hormone (α-MSH) ligand. Increased cAMP then activates the protein kinase A (PKA) pathway, resulting in the up-regulation of the expression of the microphthalmia-associated transcription factor (MITF) which is a critical regulatory factor of melanin synthesis, and tyrosinase (TYR), the rate-limiting enzyme of melanin synthesis tyrosinase (TYR), and ultimately affects production of eumelanin and pheomelanin, and the coat color phenotype of mammalian species. Previous reports have indicated that the mutation A243T in the transmembrane domain 6 (TM6) of MC1R protein might disrupt the function of MC1R, contributing to the red phenotype in Duroc pig. However, functional analysis of the A243T mutation in MC1R has not yet been carried out. In this study, we attempted to used single-stranded oligo-deoxyribonucleotides (ssODN) as donor templates to introduce the c.727G>A (A243T) mutation into MC1R in human melanoma cell line SK-MEL-2 by CRISPR/Cas9 to analyze its effects on MC1R functions. We found the occurrence of ssODN recombination reached to 10%. Unfortunately, Sanger sequencing MC1R in six single-cell clones revealed that none carried the c.727G>A mutation, but all carried undesired mutations surrounding the target site. Cells transfected with CRISPR/Cas9 plasmids and ssODN presented significantly attenuated cAMP activation, and down-regulated MITF and TYR expression, indicating that the editing MC1R could affect the melanin synthesis function in cells. This study provides a basis for further investigation the mechanism of MC1R mutation on animal coat color.

Roan coat color in livestock.

Since domestication, a wide variety of phenotypes including coat color variation has developed in livestock. This variation is mostly based on selective breeding. During the beginning of selective breeding, potential negative consequences did not become immediately evident due to low frequencies of homozygous animals and have been occasionally neglected. However, numerous studies of coat color genetics have been carried out over more than a century and, meanwhile, pleiotropic effects for several coat color genes, including disorders of even lethal impact, were described. Similar coat color phenotypes can often be found across species, caused either by conserved genes or by different genes. Even in the same species, more than one gene could cause the same or similar coat color phenotype. The roan coat color in livestock species is characterized by a mixture of white and colored hair in cattle, pig, sheep, goat, alpaca, and horse. So far, the genetic background of this phenotype is not fully understood, but KIT and its ligand KITLG (MGF) are major candidate genes in livestock species. For some of these species, pleiotropic effects such as subfertility in homozygous roan cattle or homozygous embryonic lethality in certain horse breeds have been described. This review aims to point out the similarities and differences of the roan phenotype across the following livestock species: cattle, pig, sheep, goat, alpaca, and horse; and provides the current state of knowledge on genetic background and pleiotropic effects.