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Ma L, Zhao W, Ma Q, Wang J, Zhao Z, Zhang J, Gu Y. Genome-Wide Association Study of Birth Wool Length, Birth Weight, and Head Color in Chinese Tan Sheep Through Whole-Genome Re-Sequencing. Animals (Basel) 2024; 14:3495. [PMID: 39682459 DOI: 10.3390/ani14233495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 11/23/2024] [Accepted: 11/27/2024] [Indexed: 12/18/2024] Open
Abstract
The Chinese Tan sheep is a unique breed of sheep that is typical throughout China, mainly used for fur and meat production. They are widely distributed in northwestern China and are famous for their lambskin and shiny white curly wool. In this study, the phenotypic traits of wool length, birth weight, and head coat color were evaluated in 256 Chinese Tan sheep breeds. Whole genome sequencing generated 23.67 million high-quality SNPs for genome-wide association studies (GWAS). We identified 208 significant SNPs associated with birth wool length, implicating RAD50, MACROD2, SAMD5, SASH1, and SPTLC3 as potential candidate genes for this trait. For birth weight, 1056 significant SNPs, with 76.89% of them located on chromosome 2, were identified by GWAS, and XPA, INVS, LOC121818504, GABBR2, LOC101114941, and LOC106990096 were identified as potential candidate genes for birth weight. The GWAS for head coat color identified 1424 significant SNPs across three chromosomes, with 99.65% on chromosome 14, and SPIRE2, TCF25, and MC1R as candidate genes were found to be possibly involved in the development of the black-headed coat color in sheep. Furthermore, we selected head coat color as a representative trait and performed an independent test of our GWAS findings through multiplex PCR SNP genotyping. The findings validated five mutation sites in chromosome 14 (14,251,947 T>A, 14,252,090 G>A, 14,252,158 C>T, 14,252,329 T>G, and 14,252,464 C>T) within the exon1 of the MC1R gene (517 bp), as identified by GWAS in an additional 102 Tan sheep individuals, and revealed that black-headed sheep predominantly exhibited heterozygous genotypes, possibly contributing to their color change. Our results provide a valuable foundation for further study of these three economically important traits, and enhance our understanding of genetic structure and variation in Chinese Tan sheep.
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Affiliation(s)
- Lina Ma
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China
| | - Wei Zhao
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China
| | - Qing Ma
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan 750002, China
| | - Jin Wang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan 750002, China
| | - Zhengwei Zhao
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan 750002, China
| | - Juan Zhang
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China
| | - Yaling Gu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China
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Mészárosová M, Mészáros G, Moravčíková N, Pavlík I, Margetín M, Kasarda R. Genome-wide association study for polledness, horn shape, and wool traits in Original Valachian sheep. Arch Anim Breed 2024; 67:373-381. [DOI: 10.5194/aab-67-373-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2025] Open
Abstract
Abstract. The Original Valachian sheep is an endangered Slovak national breed that is well adapted to high-altitude pastures. The sheep can be horned with various shapes and can have multi-coloured or completely white or black wool. Breeders are interested in learning about the genetic basis of these traits. We conducted a genome-wide association study based on the genomic information of 96 sheep genotyped by the GeneSeek GGP Ovine 50K SNP (single-nucleotide polymorphism) chip and on the following traits: polledness (presence or absence of horns), horn shape, and wool colour (completely white and completely black). The univariate linear mixed model was used to discover genetic variants significantly associated with tested traits. The Bonferroni correction and the false-discovery rate were used as significance thresholds. The RXFP2 gene (chromosome 10, 29.5 Mb) was identified as a strong candidate for polledness. In addition, when compared to animals with sideways-turned horns vs. polled, the region around the ADAMTS3 gene (chromosome 6, 88.47 Mb) was significant. A total of nine significant genomic regions were found when comparing the sideways-turned spiral horns with the backwards-curled horns, the two most frequent horn types in Original Valachian sheep. The RXFP2 may also contribute to the genetic control of horn shape. Genes identified in other regions were involved to osteogenic differentiation and osteoblast proliferation (PCP4, chromosome 1, 260.7 Mb), bone mineral density and mineral content (NKX1-2, chromosome 22, 43.75 Mb). The significant genetic variants close to the region of MC1R (chromosome 14, at 14.2 Mb) were associated with the wool colour of sheep that were fully white or fully black animals. The results of this study will contribute to a better understanding of the phenotypic variability of the Original Valachian sheep, especially regarding traits that are very important for breeders of this endangered breed.
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Fonseca PAS, Suárez-Vega A, Arranz JJ, Gutiérrez-Gil B. Integration of selective sweeps across the sheep genome: understanding the relationship between production and adaptation traits. Genet Sel Evol 2024; 56:40. [PMID: 38773423 PMCID: PMC11106937 DOI: 10.1186/s12711-024-00910-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 05/07/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Livestock populations are under constant selective pressure for higher productivity levels for different selective purposes. This pressure results in the selection of animals with unique adaptive and production traits. The study of genomic regions associated with these unique characteristics has the potential to improve biological knowledge regarding the adaptive process and how it is connected to production levels and resilience, which is the ability of an animal to adapt to stress or an imbalance in homeostasis. Sheep is a species that has been subjected to several natural and artificial selective pressures during its history, resulting in a highly specialized species for production and adaptation to challenging environments. Here, the data from multiple studies that aim at mapping selective sweeps across the sheep genome associated with production and adaptation traits were integrated to identify confirmed selective sweeps (CSS). RESULTS In total, 37 studies were used to identify 518 CSS across the sheep genome, which were classified as production (147 prodCSS) and adaptation (219 adapCSS) CSS based on the frequency of each type of associated study. The genes within the CSS were associated with relevant biological processes for adaptation and production. For example, for adapCSS, the associated genes were related to the control of seasonality, circadian rhythm, and thermoregulation. On the other hand, genes associated with prodCSS were related to the control of feeding behaviour, reproduction, and cellular differentiation. In addition, genes harbouring both prodCSS and adapCSS showed an interesting association with lipid metabolism, suggesting a potential role of this process in the regulation of pleiotropic effects between these classes of traits. CONCLUSIONS The findings of this study contribute to a deeper understanding of the genetic link between productivity and adaptability in sheep breeds. This information may provide insights into the genetic mechanisms that underlie undesirable genetic correlations between these two groups of traits and pave the way for a better understanding of resilience as a positive ability to respond to environmental stressors, where the negative effects on production level are minimized.
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Affiliation(s)
- Pablo A S Fonseca
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana S/N, 24071, León, Spain
| | - Aroa Suárez-Vega
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana S/N, 24071, León, Spain
| | - Juan J Arranz
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana S/N, 24071, León, Spain
| | - Beatriz Gutiérrez-Gil
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana S/N, 24071, León, Spain.
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Zheng H, Xiong SY, Xiao SJ, Zhang ZK, Tu JM, Cui DS, Yu NB, Huang ZY, Li LY, Guo YM. Association between MC1R gene and coat color segregation in Shanxia long black pig and Lulai black pig. BMC Genom Data 2023; 24:74. [PMID: 38036989 PMCID: PMC10691012 DOI: 10.1186/s12863-023-01161-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 09/20/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Coat color, as a distinct phenotypic characteristic of pigs, is often subject to preference and selection, such as in the breeding process of new breed. Shanxia long black pig was derived from an intercross between Berkshire boars and Licha black pig sows, and it was bred as a paternal strain with high-quality meat and black coat color. Although the coat color was black in the F1 generation of the intercross, it segregated in the subsequent generations. This study aims to decode the genetic basis of coat color segregation and develop a method to distinct black pigs from the spotted in Shanxia long black pig. RESULTS Only a QTL was mapped at the proximal end of chromosome 6, and MC1R gene was picked out as functional candidate gene. A total of 11 polymorphic loci were identified in MC1R gene, and only the c.67_68insCC variant was co-segregating with coat color. This locus isn't recognized by any restriction endonuclease, so it can't be genotyped by PCR-RFLP. The c.370G > A polymorphic locus was also significantly associated with coat color, and has been in tightly linkage disequilibrium with the c.67_68insCC. Furthermore, it is recognized by BspHI. Therefore, a PCR-RFLP method was set up to genotype this locus. Besides the 175 sequenced individuals, another more 1,391 pigs were genotyped with PCR-RFLP, and all of pigs with GG (one band) were black. CONCLUSION MC1R gene (c.67_68insCC) is the causative gene (mutation) for the coat color segregation, and the PCR-RFLP of c.370G > A could be used in the breeding program of Shanxia long black pig.
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Affiliation(s)
- Hao Zheng
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - San-Ya Xiong
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Shi-Jun Xiao
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Ze-Kai Zhang
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Jin-Min Tu
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Deng-Shuai Cui
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Nai-Biao Yu
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - Zhi-Yong Huang
- Jiangxi Shanxia Huaxi Pig Breeding Company Limited, Ganzhou, Jiangxi, 341000, China
| | - Long-Yun Li
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
- The College of Life Science, Nanchang Normal University, Nanchang, Jiangxi, 330045, China.
| | - Yuan-Mei Guo
- National Key Laboratory for Swine Genetic Improvement and Germplasm Innovation, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.
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Cao C, Kang Y, Zhou Q, Nanaei HA, Bo D, Liu P, Bai Y, Li R, Jiang Y, Lan X, Pan C. Whole-genome resequencing reveals the genomic diversity and signatures of selection in Romanov sheep. J Anim Sci 2023; 101:skad291. [PMID: 37680132 PMCID: PMC10516466 DOI: 10.1093/jas/skad291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 08/26/2023] [Indexed: 09/09/2023] Open
Abstract
Romanov sheep are adapted to the extremely cold and harsh environment and display a distinctive grey color. Herein, we analyzed the population structure, genetic diversity, and selection signatures of Romanov sheep based on whole-genome sequencing data of 17 Romanov sheep, 114 individuals from other 10 European breeds. The results of PCA, ADMIXTURE, and NJ-tree showed that the Romanov sheep was closely related to other northern European breeds. A relative high level of genetic diversity, low inbreeding coefficient, and large effective population size was observed in Romanov sheep when compared with other European breeds. We then screened the genomic selection signatures of Romanov sheep using FST, XP-XLP, and XP-EHH methods. The most significant region under selection (CHR14:14.2 to 14.3 Mb) harbored a haplotype that contained MC1R gene. Furthermore, this haplotype was also found in other grey-body breeds including Gotland sheep, Grey Tronder Sheep, and German grey heath sheep, suggesting that it was associated with the unique coat color of these breeds. We also found one region (CHR10:40.8Mb- 41.0Mb) harboring PCDH9 gene which was potentially associated with cold environmental adaptation. In summary, this study identified candidate genes that were associated with the unique grey color and environmental adaptation in Romanov sheep, which provided a basis for understanding the genetic background and utilization of this breed.
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Affiliation(s)
- Chunna Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuxin Kang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Qian Zhou
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | | | - Didi Bo
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peiyao Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yangyang Bai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ran Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xianyong Lan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chuanying Pan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
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Genetic Diversity Relationship in Azakheli Buffalo Inferred from mtDNA and MC1R Sequences Comparison. BIOMED RESEARCH INTERNATIONAL 2022; 2022:5770562. [PMID: 36601617 PMCID: PMC9806686 DOI: 10.1155/2022/5770562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/22/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022]
Abstract
Azakheli is relatively smaller riverine breed with a very peculiar characteristics kept under unique traditional husbandry practices in comparison with rest of the Pakistani buffalo breeds; however, milk production is comparable. The present study was conducted to evaluate the genetic diversity of Azakheli breed. A total of sixty-six blood samples were collected for the amplification of mtDNA D-loop region and MC1R gene sequencing analysis. Median-joining network analysis of 191 mtDNA D-loop sequences of Azakheli and eight Indian riverine buffalo breeds clustered into three clades. Ancient Azakheli Region 1 clade was the oldest with the highest mutation steps and was present close to the root of UPGMA phylogenetic tree. There was 5 mutated lines distance between Pakistan buffalo and Indian riverine buffaloes. The populations of neighboring countries did not share any haplotypes with Azakheli buffalo of Pakistan. Possibly, residing for so long in the cold atmosphere and high elevation regions caused the mutation in mtDNA D-loop, though these conditions did not affect the overall performance of Azakheli as milch buffalo breed of Pakistan. MC1R analyses showed high mutations in Azakheli of Albino phenotype and all the black phenotype individuals of Azakheli buffalo share haplotypes with dominant Chinese and Indian black phenotypes buffaloes in MC1R median-joining network, indicating the reason of black coat color is due to MC1R gene. The haplotype diversity and nucleotide diversity was (H. 0.923, Pi: 0.00895) in Azakheli. Current results illustrated Asian ancestry for Azakheli buffalo, and mtDNA and MC1R analyses provided further evidence. Additional genetic analyses and archeological studies may provide further insight into the domestication period and history of Azakheli buffalo breed. The further studies are required on different coat colors with different genes on Azakheli buffalo to understand the phenotype variation.
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Kunene LM, Muchadeyi FC, Hadebe K, Mészáros G, Sölkner J, Dugmore T, Dzomba EF. Genetics of Base Coat Colour Variations and Coat Colour-Patterns of the South African Nguni Cattle Investigated Using High-Density SNP Genotypes. Front Genet 2022; 13:832702. [PMID: 35747604 PMCID: PMC9209731 DOI: 10.3389/fgene.2022.832702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/25/2022] [Indexed: 11/29/2022] Open
Abstract
Nguni cattle are a Sanga type breed with mixed B. taurus and B. indicus ancestry and proven resistance to ticks, diseases and other harsh conditions of the African geographical landscape. The multi-coloured Nguni coats have found a niche market in the leather industry leading to breeding objectives towards the promotion of such diversity. However, there is limited studies on the genomic architecture underlying the coat colour and patterns hampering any potential breeding and improvement of such trait. This study investigated the genetics of base coat colour, colour-sidedness and the white forehead stripe in Nguni cattle using coat colour phenotyped Nguni cattle and Illumina Bovine HD (770K) genotypes. Base coat colour phenotypes were categorised into eumelanin (n = 45) and pheomelanin (n = 19). Animals were categorised into either colour-sided (n = 46) or non-colour-sided (n = 94) and similarly into presence (n = 15) or absence (n = 67) of white forehead stripe. Genome-wide association tests were conducted using 622,103 quality controlled SNPs and the Efficient Mixed Model Association eXpedited method (EMMAX) implemented in Golden Helix SNP Variation Suite. The genome-wide association studies for base coat colour (eumelanin vs. pheomelanin) resulted into four indicative SNPs on BTA18 and a well-known gene, MC1R, was observed within 1 MB from the indicative SNPs (p < 0.00001) and found to play a role in the melanogenesis (core pathway for melanin production) and the MAPK signalling pathway. GWAS for colour-sidedness resulted in four indicative SNPs, none of which were in close proximity to the KIT candidate gene known for colour-sidedness. GWAS for the white forehead stripe resulted in 17 indicative SNPs on BTA6. Four genes MAPK10, EFNA5, PPP2R3C and PAK1 were found to be associated with the white forehead stripe and were part of the MAPK, adrenergic and Wnt signalling pathways that are synergistically associated with the synthesis of melanin. Overall, our results prove prior knowledge of the role of MC1R in base coat colours in cattle and suggested a different genetic mechanism for forehead stripe phenotypes in Nguni cattle.
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Affiliation(s)
- Langelihle Mbali Kunene
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Scottsville, South Africa
| | | | - Khanyisile Hadebe
- Agricultural Research Council, Biotechnology Platform, Onderstepoort, South Africa
| | - Gábor Mészáros
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Johann Sölkner
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Trevor Dugmore
- KZN Department of Agriculture and Rural Development, Pietermaritzburg, South Africa
| | - Edgar Farai Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Scottsville, South Africa
- *Correspondence: Edgar Farai Dzomba,
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Ji RL, Tao YX. Melanocortin-1 receptor mutations and pigmentation: Insights from large animals. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 189:179-213. [PMID: 35595349 DOI: 10.1016/bs.pmbts.2022.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The melanocortin-1 receptor (MC1R) is a G protein-coupled receptor expressed in cutaneous and hair follicle melanocytes, and plays a central role in coat color determination in vertebrates. Numerous MC1R variants have been identified in diverse species. Some of these variants have been associated with specific hair and skin color phenotypes in humans as well as coat color in animals. Gain-of-function mutations of the MC1R gene cause dominant or partially dominant black/dark coat color, and loss-of-function mutations of the MC1R gene cause recessive or partially recessive red/yellow/pale coat color phenotypes. These have been well documented in a large number of mammals, including human, dog, cattle, horse, sheep, pig, and fox. Higher similarities between large mammals and humans makes them better models to understand pathogenesis of human diseases caused by MC1R mutations. High identities in MC1Rs and similar variants identified in both humans and large mammals also provide an opportunity for receptor structure and function study. In this review, we aim to summarize the naturally occurring mutations of MC1R in humans and large animals.
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Affiliation(s)
- Ren-Lei Ji
- Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Ya-Xiong Tao
- Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
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Neitzke-Montinelli V, da Silva Figueiredo Celestino Gomes P, Pascutti PG, Moura-Neto RS, Silva R. Genetic diversity of the melanocortin-1 receptor in an admixed population of Rio de Janeiro: Structural and functional impacts of Cys35Tyr variant. PLoS One 2022; 17:e0267286. [PMID: 35452484 PMCID: PMC9032367 DOI: 10.1371/journal.pone.0267286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 04/05/2022] [Indexed: 12/04/2022] Open
Abstract
The melanocortin-1 receptor (MC1R) is one of the key proteins involved in the regulation of melanin production and several polymorphisms have been associated with different phenotypes of skin and hair color in human and nonhuman species. Most of the knowledge is centered on more homogeneous populations and studies involving an admixed group of people should be encouraged due to the great importance of understanding the human color variation. This work evaluates the MC1R diversity and the possible impacts of MC1R variants in an admixed sample population of Rio de Janeiro, Brazil, which is a product of Native American, African, and European miscegenation. Sequencing of complete coding region and part of the 3´UTR of MC1R gene identified 31 variants including one insertion and three novel synonymous substitutions in sample population grouped according to skin, hair and eye pigmentation levels. In nonmetric multidimensional scaling analysis (NMDS), three main clusters were identified, in which the Brazilian dark skin group remained in the African cluster whereas the intermediate and the light skin color phenotype in the European one. None gathered with Asians since their immigration to Brazil was a recent event. In silico analyses demonstrated that Cys35Tyr, Ile155Thr and Pro256Ser, found in our population, have a negative effect on receptor function probably due to changes on the receptor structure. Notably, Cys35Tyr mutation could potentially impair agonist binding. Altogether, this work contributes to the understanding of the genetic background of color variation on an admixed population and gives insights into the damaging effects of MC1R variants.
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Affiliation(s)
- Vanessa Neitzke-Montinelli
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Pedro G. Pascutti
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rodrigo S. Moura-Neto
- Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rosane Silva
- Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- * E-mail:
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Jiang L, Kon T, Chen C, Ichikawa R, Zheng Q, Pei L, Takemura I, Nsobi LH, Tabata H, Pan H, Omori Y, Ogura A. Whole-genome sequencing of endangered Zhoushan cattle suggests its origin and the association of MC1R with black coat colour. Sci Rep 2021; 11:17359. [PMID: 34462508 PMCID: PMC8405626 DOI: 10.1038/s41598-021-96896-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 08/05/2021] [Indexed: 12/04/2022] Open
Abstract
Zhoushan cattle are an endangered cattle breed in the Zhoushan islands in China. Since Zhoushan cattle have been bred in isolation, they show unique characteristics, such as dark black coat colour. However, no studies have been conducted on the genome of Zhoushan cattle. Here, we performed whole-genome sequencing of seven individuals of Zhoushan cattle and nine cattle in Wenling, geographically close to the Zhoushan islands. By integrating our data and publicly-available data, we found that Zhoushan cattle are genetically highly similar to Bos indicus cattle in south-eastern China. Furthermore, by identifying the genomic regions shared between Zhoushan cattle and Angus cattle, a Bos taurus breed, we found that the p.F195L mutation in melanocyte-stimulating hormone receptor (MC1R) could be associated with their dark black coat colour. Taken together, our results provide a valuable resource for characterising the uniqueness of Zhoushan cattle.
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Affiliation(s)
- Lihua Jiang
- National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316022, China. .,Genomic Diversity Laboratory, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan.
| | - Tetsuo Kon
- Laboratory of Functional Genomics, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Chunyan Chen
- National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316022, China
| | - Ryota Ichikawa
- Laboratory of Functional Genomics, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Qiyuan Zheng
- Zhoushan Sanxing Zhoushan Cattle Protection Institute, Zhoushan City, 316000, China
| | - Liyi Pei
- National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316022, China
| | - Ikuyo Takemura
- Genomic Diversity Laboratory, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Lauden Hagai Nsobi
- National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316022, China
| | - Hiromasa Tabata
- Genomic Diversity Laboratory, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Hao Pan
- Genomic Diversity Laboratory, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Yoshihiro Omori
- Laboratory of Functional Genomics, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan
| | - Atsushi Ogura
- Genomic Diversity Laboratory, Graduate School of Bioscience, Nagahama Institute of Bioscience and Technology, Nagahama, Shiga, 526-0829, Japan.
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Sweet-Jones J, Lenis VP, Yurchenko AA, Yudin NS, Swain M, Larkin DM. Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits. Front Genet 2021; 12:612492. [PMID: 34220925 PMCID: PMC8253514 DOI: 10.3389/fgene.2021.612492] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 05/10/2021] [Indexed: 12/25/2022] Open
Abstract
Background Advances in genetic tools applied to livestock breeding has prompted research into the previously neglected breeds adapted to harsh local environments. One such group is the Welsh mountain sheep breeds, which can be farmed at altitudes of 300 m above sea level but are considered to have a low productive value because of their poor wool quality and small carcass size. This is contrary to the lowland breeds which are more suited to wool and meat production qualities, but do not fare well on upland pasture. Herein, medium-density genotyping data from 317 individuals representing 15 Welsh sheep breeds were used alongside the whole-genome resequencing data of 14 breeds from the same set to scan for the signatures of selection and candidate genetic variants using haplotype- and SNP-based approaches. Results Haplotype-based selection scan performed on the genotyping data pointed to a strong selection in the regions of GBA3, PPARGC1A, APOB, and PPP1R16B genes in the upland breeds, and RNF24, PANK2, and MUC15 in the lowland breeds. SNP-based selection scan performed on the resequencing data pointed to the missense mutations under putative selection relating to a local adaptation in the upland breeds with functions such as angiogenesis (VASH1), anti-oxidation (RWDD1), cell stress (HSPA5), membrane transport (ABCA13 and SLC22A7), and insulin signaling (PTPN1 and GIGFY1). By contrast, genes containing candidate missense mutations in the lowland breeds are related to cell cycle (CDK5RAP2), cell adhesion (CDHR3), and coat color (MC1R). Conclusion We found new variants in genes with potentially functional consequences to the adaptation of local sheep to their environments in Wales. Knowledge of these variations is important for improving the adaptative qualities of UK and world sheep breeds through a marker-assisted selection.
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Affiliation(s)
- James Sweet-Jones
- Royal Veterinary College, University of London, London, United Kingdom
| | - Vasileios Panagiotis Lenis
- Institute of Biological, Environmental and Rural Sciences, University of Aberystwyth, Aberystwyth, United Kingdom.,School of Health and Life Sciences, Teesside University, Middlesbrough, United Kingdom
| | - Andrey A Yurchenko
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Nikolay S Yudin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Martin Swain
- Institute of Biological, Environmental and Rural Sciences, University of Aberystwyth, Aberystwyth, United Kingdom
| | - Denis M Larkin
- Royal Veterinary College, University of London, London, United Kingdom.,The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
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12
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Gebreselassie G, Liang B, Berihulay H, Islam R, Abied A, Jiang L, Zhao Z, Ma Y. Genomic mapping identifies two genetic variants in the MC1R gene for coat colour variation in Chinese Tan sheep. PLoS One 2020; 15:e0235426. [PMID: 32817695 PMCID: PMC7444486 DOI: 10.1371/journal.pone.0235426] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 06/15/2020] [Indexed: 11/25/2022] Open
Abstract
Coat colour is one of the most important economic traits of sheep and is mainly used for breed identification and characterization. This trait is determined by the biochemical function, availability and distribution of phaeomelanin and eumelanin pigments. In our study, we conducted a genome-wide association study to identify candidate genes and genetic variants associated with coat colour in 75 Chinese Tan sheep using the ovine 600K SNP BeadChip. Accordingly, we identified two significant SNPs (rs409651063 at 14.232 Mb and rs408511664 at 14.228 Mb) associated with coat colour in the MC1R gene on chromosome 14 with −log10(P) = 2.47E-14 and 1.00E-13, respectively. The consequence of rs409651063 was a missense variant (g.14231948 G>A) that caused an amino acid change (Asp105Asn); however, the second SNP (rs408511664) was a synonymous substitution and is an upstream variant (g.14228343G>A). Moreover, our PCR analysis revealed that the genotype of white sheep was exclusively homozygous (GG), whereas the genotypes of black-head sheep were mainly heterozygous (GA). Interestingly, allele-specific expression analysis (using the missense variant for the skin cDNA samples from black-head sheep) revealed that only the G allele was expressed in the skin covered with white hair, while both the G and A alleles were expressed in the skin covered with black hair. This finding indicated that the missense mutation that we identified is probably responsible for white coat colour in Tan sheep. Furthermore, qPCR analysis of MC1R mRNA level in the skin samples was significantly higher in black-head than white sheep and very significantly higher in GA than GG individuals. Taken together, these results help to elucidate the genetic mechanism underlying coat colour variation in Chinese indigenous sheep.
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Affiliation(s)
- Gebremedhin Gebreselassie
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Department of Agricultural Biotechnology, Biotechnology Center, Ethiopian Biotechnology Institute, Ministry of Innovation and Technology, Addis Ababa, Ethiopia
| | - Benmeng Liang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Haile Berihulay
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Rabul Islam
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Adam Abied
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lin Jiang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Zhengwei Zhao
- Institute of animal science, Ningxia Academy of Agriculture and Forestry Sciences, Ningxia, Yinchuan, China
- * E-mail: (YM); (ZZ)
| | - Yuehui Ma
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- * E-mail: (YM); (ZZ)
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13
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Yang N, Zhao B, Hu S, Bao Z, Liu M, Chen Y, Wu X. Characterization of POU2F1 Gene and Its Potential Impact on the Expression of Genes Involved in Fur Color Formation in Rex Rabbit. Genes (Basel) 2020; 11:genes11050575. [PMID: 32443864 PMCID: PMC7288328 DOI: 10.3390/genes11050575] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/15/2020] [Accepted: 05/18/2020] [Indexed: 12/26/2022] Open
Abstract
The naturally colorful fur of the Rex rabbit is becoming increasingly popular in the modern textile market. Our previous study found that POU class 2 homeobox 1 gene (POU2F1) potentially affects the expression of genes involved in fur color formation in the Rex rabbit, but the function and regulation of POU2F1 has not been reported. In this study, the expression patterns of POU2F1 in Rex rabbits of various colors, as well as in different organs, were analyzed by RT-qPCR. Interference and overexpression of POU2F1 were used to identify the potential effects of POU2F1 on other genes related to fur color formation. The results show that the levels of POU2F1 expression were significantly higher in the dorsal skin of the brown and protein yellow Rex rabbits, compared with that of the black one. POU2F1 mRNAs were widespread in the tissues examined in this study and showed the highest level in the lungs. By transfecting rabbit melanocytes with an POU2F1-overexpression plasmid, we found that the POU2F1 protein was located at the nucleus, and the protein showed the classic characteristics of a transcription factor. In addition, abnormal expression of POU2F1 significantly affected the expression of pigmentation-related genes, including SLC7A11, MITF, SLC24A5, MC1R, and ASIP, revealing the regulatory roles of POU2F1 on pigmentation. The results provide the basis for further exploration of the role of POU2F1 in fur color formation of the Rex rabbit.
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Affiliation(s)
- Naisu Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
| | - Bohao Zhao
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
| | - Shuaishuai Hu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
| | - Zhiyuan Bao
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
| | - Ming Liu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
| | - Yang Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Yangzhou University, Yangzhou 225009, China
| | - Xinsheng Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (N.Y.); (B.Z.); (S.H.); (Z.B.); (M.L.); (Y.C.)
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Yangzhou University, Yangzhou 225009, China
- Correspondence: ; Tel.: +86-514-8799-7194
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14
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Gebreselassie G, Berihulay H, Jiang L, Ma Y. Review on Genomic Regions and Candidate Genes Associated with Economically Important Production and Reproduction Traits in Sheep ( Ovies aries). Animals (Basel) 2019; 10:E33. [PMID: 31877963 PMCID: PMC7022721 DOI: 10.3390/ani10010033] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/24/2019] [Accepted: 12/20/2019] [Indexed: 12/15/2022] Open
Abstract
Sheep (Ovis aries) is one of the most economically, culturally, and socially important domestic animals. They are reared primarily for meat, milk, wool, and fur production. Sheep were reared using natural selection for a long period of time to offer these traits. In fact, this production system has been slowing the productivity and production potential of the sheep. To improve production efficiency and productivity of this animal through genetic improvement technologies, understanding the genetic background of traits such as body growth, weight, carcass quality, fat percent, fertility, milk yield, wool quality, horn type, and coat color is essential. With the development and utilization of animal genotyping technologies and gene identification methods, many functional genes and genetic variants associated with economically important phenotypic traits have been identified and annotated. This is useful and presented an opportunity to increase the pace of animal genetic gain. Quantitative trait loci and genome wide association study have been playing an important role in identifying candidate genes and animal characterization. This review provides comprehensive information on the identified genomic regions and candidate genes associated with production and reproduction traits, and gene function in sheep.
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Affiliation(s)
- Gebremedhin Gebreselassie
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Department of Agricultural Biotechnology, Biotechnology Center, Ethiopian Biotechnology Institute, Ministry of Innovation and Technology, Addis Ababa 1000, Ethiopia
| | - Haile Berihulay
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Lin Jiang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Yuehui Ma
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
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15
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Yao L, Bao A, Hong W, Hou C, Zhang Z, Liang X, Aniwashi J. Transcriptome profiling analysis reveals key genes of different coat color in sheep skin. PeerJ 2019; 7:e8077. [PMID: 31772839 PMCID: PMC6875393 DOI: 10.7717/peerj.8077] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 10/21/2019] [Indexed: 12/23/2022] Open
Abstract
Background To investigate the molecular mechanisms determining the coat color of native breed sheep in Xinjiang. Methods Bashibai sheep, Yemule white sheep and Tulufan black sheep were selected. Illumina HiSeq X Ten sequencing technology was used to detect the genes responsible for the white, light brown, black and cyan gray coat colors in sheep. Sequence analysis and functional gene annotation analysis were performed to analyze the results. The signal pathways and differentially expressed genes related to sheep hair color production regulation were screened and finally verified by real-time polymerase chain reaction. Results Functional annotation by Kyoto Encyclopedia of Genes and Genomes analysis revealed significant differences in enrichment of immunity-related pathways as well as melanogenesis synthetic and tyrosine metabolism pathways. Our results showed that the DCT, TYR, TYRP1, PMEL, SLC45A2 and MLANA six genes may be associated with the regulation of coat color development and provide a theoretical basis for selecting natural coat colors of sheep.
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Affiliation(s)
- Lidan Yao
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Aodungerile Bao
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Wenjuan Hong
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Chenxi Hou
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Zhenliang Zhang
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Xiaopeng Liang
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
| | - Jueken Aniwashi
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China
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16
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Coetzer WG, Grobler JP. Genetic variation among different springbok (Antidorcas marsupialis) colour variants. Mamm Biol 2019. [DOI: 10.1016/j.mambio.2019.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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17
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Abstract
Classically, phenotype is what is observed, and genotype is the genetic makeup. Statistical studies aim to project phenotypic likelihoods of genotypic patterns. The traditional genotype-to-phenotype theory embraces the view that the encoded protein shape together with gene expression level largely determines the resulting phenotypic trait. Here, we point out that the molecular biology revolution at the turn of the century explained that the gene encodes not one but ensembles of conformations, which in turn spell all possible gene-associated phenotypes. The significance of a dynamic ensemble view is in understanding the linkage between genetic change and the gained observable physical or biochemical characteristics. Thus, despite the transformative shift in our understanding of the basis of protein structure and function, the literature still commonly relates to the classical genotype-phenotype paradigm. This is important because an ensemble view clarifies how even seemingly small genetic alterations can lead to pleiotropic traits in adaptive evolution and in disease, why cellular pathways can be modified in monogenic and polygenic traits, and how the environment may tweak protein function.
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Affiliation(s)
- Ruth Nussinov
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland, United States of America
- Sackler Institute of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Chung-Jung Tsai
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland, United States of America
| | - Hyunbum Jang
- Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland, United States of America
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18
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Yurchenko AA, Deniskova TE, Yudin NS, Dotsev AV, Khamiruev TN, Selionova MI, Egorov SV, Reyer H, Wimmers K, Brem G, Zinovieva NA, Larkin DM. High-density genotyping reveals signatures of selection related to acclimation and economically important traits in 15 local sheep breeds from Russia. BMC Genomics 2019; 20:294. [PMID: 32039702 PMCID: PMC7227232 DOI: 10.1186/s12864-019-5537-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background Domestication and centuries of selective breeding have changed genomes of sheep breeds to respond to environmental challenges and human needs. The genomes of local breeds, therefore, are valuable sources of genomic variants to be used to understand mechanisms of response to adaptation and artificial selection. As a step toward this we performed a high-density genotyping and comprehensive scans for signatures of selection in the genomes from 15 local sheep breeds reared across Russia. Results Results demonstrated that the genomes of Russian sheep breeds contain multiple regions under putative selection. More than 50% of these regions matched with intervals identified in previous scans for selective sweeps in sheep genomes. These regions contain well-known candidate genes related to morphology, adaptation, and domestication (e.g., KITLG, KIT, MITF, and MC1R), wool quality and quantity (e.g., DSG@, DSC@, and KRT@), growth and feed intake (e.g., HOXA@, HOXC@, LCORL, NCAPG, LAP3, and CCSER1), reproduction (e.g., CMTM6, HTRA1, GNAQ, UBQLN1, and IFT88), and milk-related traits (e.g., ABCG2, SPP1, ACSS1, and ACSS2). In addition, multiple genes that are putatively related to environmental adaptations were top-ranked in selected intervals (e.g., EGFR, HSPH1, NMUR1, EDNRB, PRL, TSHR, and ADAMTS5). Moreover, we observed that multiple key genes involved in human hereditary sensory and autonomic neuropathies, and genetic disorders accompanied with an inability to feel pain and environmental temperatures, were top-ranked in multiple or individual sheep breeds from Russia pointing to a possible mechanism of adaptation to harsh climatic conditions. Conclusions Our work represents the first comprehensive scan for signatures of selection in genomes of local sheep breeds from the Russian Federation of both European and Asian origins. We confirmed that the genomes of Russian sheep contain previously identified signatures of selection, demonstrating the robustness of our integrative approach. Multiple novel signatures of selection were found near genes which could be related to adaptation to the harsh environments of Russia. Our study forms a basis for future work on using Russian sheep genomes to spot specific genetic variants or haplotypes to be used in efforts on developing next-generation highly productive breeds, better suited to diverse Eurasian environments. Electronic supplementary material The online version of this article (10.1186/s12864-019-5537-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrey A Yurchenko
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Tatiana E Deniskova
- L.K. Ernst Federal Science Center for Animal Husbandry, Podolsk, 142132, Russia
| | - Nikolay S Yudin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia.,Novosibirsk State University, Novosibirsk, 630090, Russia
| | - Arsen V Dotsev
- L.K. Ernst Federal Science Center for Animal Husbandry, Podolsk, 142132, Russia
| | - Timur N Khamiruev
- Research Institute of Veterinary Medicine of Eastern Siberia, The Branch of the Siberian Federal Scientific Center for Agrobiotechnologies of the Russian Academy of Sciences, Chita, Russia
| | - Marina I Selionova
- All-Russian Research Institute of Sheep and Goat Breeding - branch of the Federal State Budgetary Scientific Institution North Caucasian Agrarian Center, Stavropol, 355017, Russia
| | - Sergey V Egorov
- Siberian Research Institute of Animal Husbandry, Krasnoobsk, Russia
| | - Henry Reyer
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Klaus Wimmers
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Gottfried Brem
- L.K. Ernst Federal Science Center for Animal Husbandry, Podolsk, 142132, Russia.,Institute of Animal Breeding and Genetics, University of Veterinary Medicine, Vienna, Austria
| | - Natalia A Zinovieva
- L.K. Ernst Federal Science Center for Animal Husbandry, Podolsk, 142132, Russia.
| | - Denis M Larkin
- The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia. .,Royal Veterinary College, University of London, London, UK.
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19
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Ganbold O, Manjula P, Lee SH, Paek WK, Seo D, Munkhbayar M, Lee JH. Sequence characterization and polymorphism of melanocortin 1 receptor gene in some goat breeds with different coat color of Mongolia. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2019; 32:939-948. [PMID: 30744336 PMCID: PMC6601070 DOI: 10.5713/ajas.18.0819] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 01/08/2019] [Indexed: 11/27/2022]
Abstract
Objective Extension and Agouti loci play a key role for proportions of eumelanin and pheomelanin in determining coat color in several species, including goat. Mongolian goats exhibit diverse types of coat color phenotypes. In this study, investigation of the melanocortin 1 receptor (MC1R) coding region in different coat colors in Mongolian goats was performed to ascertain the presence of the extension allele. Methods A total of 105 goat samples representing three goat breeds were collected for this study from middle Mongolia. A 938 base pair (bp) long coding region of the MC1R gene was sequenced for three different breeds with different coat colors (Gobi Gurwan Saikhan: complete black, Zalaa Jinstiin Tsagaan: complete white, Mongolian native goat: admixture of different of coat colors). The genotypes of these goats were obtained from analyzing and comparing the sequencing results. Results A total of seven haplotypes defined by five substitution were identified. The five single nucleotide polymorphisms included two synonymous mutations (c.183C>T and c.489G>A) and three missense (non-synonymous) mutations (c.676A>G, c.748T>G, and c.770T>A). Comparison of genotypes frequencies of two common missense mutions using chi-sqaure (x2) test revealed significant differences between coat color groups (p<0.001). A logistic regression analysis additionally suggested highly significant association between genotypes and variation of black versus white uniform combination. Alternatively, most investigated goats (60.4%) belonged to H2 (TGAGT) haplotype. Conclusion According to the findings obtained in this study on the investigated coat colors, mutations in MC1R gene may have the crucial role for determining eumelanin and pheomelanin phenotypes. Due to the complication of coat color phenotype, more detailed investigation needed.
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Affiliation(s)
- Onolragchaa Ganbold
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea.,Department of Biological Science, Mongolian National University of Education, Ulaanbaatar 210685, Mongolia
| | - Prabuddha Manjula
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Seung-Hwan Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Woon Kee Paek
- Division of Research and Promotion, National Science Museum of Korea, Daejeon 34143, Korea
| | - Dongwon Seo
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Munkhbaatar Munkhbayar
- Department of Biological Science, Mongolian National University of Education, Ulaanbaatar 210685, Mongolia
| | - Jun Heon Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea
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20
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Bertolini F, Servin B, Talenti A, Rochat E, Kim ES, Oget C, Palhière I, Crisà A, Catillo G, Steri R, Amills M, Colli L, Marras G, Milanesi M, Nicolazzi E, Rosen BD, Van Tassell CP, Guldbrandtsen B, Sonstegard TS, Tosser-Klopp G, Stella A, Rothschild MF, Joost S, Crepaldi P. Signatures of selection and environmental adaptation across the goat genome post-domestication. Genet Sel Evol 2018; 50:57. [PMID: 30449276 PMCID: PMC6240954 DOI: 10.1186/s12711-018-0421-y] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 10/15/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Since goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems and/or purposes and (ii) adaptation to different environments. As a result, approximately 600 goat breeds have developed worldwide; they differ considerably from one another in terms of phenotypic characteristics and are adapted to a wide range of climatic conditions. In this work, we analyzed the AdaptMap goat dataset, which is composed of data from more than 3000 animals collected worldwide and genotyped with the CaprineSNP50 BeadChip. These animals were partitioned into groups based on geographical area, production uses, available records on solid coat color and environmental variables including the sampling geographical coordinates, to investigate the role of natural and/or artificial selection in shaping the genome of goat breeds. RESULTS Several signatures of selection on different chromosomal regions were detected across the different breeds, sub-geographical clusters, phenotypic and climatic groups. These regions contain genes that are involved in important biological processes, such as milk-, meat- or fiber-related production, coat color, glucose pathway, oxidative stress response, size, and circadian clock differences. Our results confirm previous findings in other species on adaptation to extreme environments and human purposes and provide new genes that could explain some of the differences between goat breeds according to their geographical distribution and adaptation to different environments. CONCLUSIONS These analyses of signatures of selection provide a comprehensive first picture of the global domestication process and adaptation of goat breeds and highlight possible genes that may have contributed to the differentiation of this species worldwide.
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Affiliation(s)
- Francesca Bertolini
- Department of Animal Science, Iowa State University, Ames, IA 50011 USA
- National Institute of Aquatic Resources, Technical University of Denmark (DTU), 2800 Lyngby, Denmark
| | - Bertrand Servin
- GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326 Castanet Tolosan, France
| | - Andrea Talenti
- Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133 Milan, Italy
| | - Estelle Rochat
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | | | - Claire Oget
- GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326 Castanet Tolosan, France
| | - Isabelle Palhière
- GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326 Castanet Tolosan, France
| | - Alessandra Crisà
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015 Monterotondo, Roma, Italy
| | - Gennaro Catillo
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015 Monterotondo, Roma, Italy
| | - Roberto Steri
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015 Monterotondo, Roma, Italy
| | - Marcel Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Licia Colli
- DIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
- BioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
| | - Gabriele Marras
- Fondazione Parco Tecnologico Padano (PTP), 26900 Lodi, Italy
| | - Marco Milanesi
- DIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
- Department of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil
| | | | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD 20705 USA
| | | | - Bernt Guldbrandtsen
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
| | | | - Gwenola Tosser-Klopp
- GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326 Castanet Tolosan, France
| | - Alessandra Stella
- BioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
| | - Max F. Rothschild
- Department of Animal Science, Iowa State University, Ames, IA 50011 USA
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Paola Crepaldi
- Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133 Milan, Italy
| | - the AdaptMap consortium
- Department of Animal Science, Iowa State University, Ames, IA 50011 USA
- National Institute of Aquatic Resources, Technical University of Denmark (DTU), 2800 Lyngby, Denmark
- GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326 Castanet Tolosan, France
- Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133 Milan, Italy
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
- Recombinetics Inc, St Paul, 55104 MN USA
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) - Research Centre for Animal Production and Acquaculture, 00015 Monterotondo, Roma, Italy
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus Universitat Autonoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
- DIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
- BioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, 29100 Piacenza, Italy
- Fondazione Parco Tecnologico Padano (PTP), 26900 Lodi, Italy
- Department of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil
- Animal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD 20705 USA
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
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BEHROOZINIA S, SAFDARIAN M, FARHADI A, KHEDERZADEH S. An In/Del mutation in upstream regulatory region of MC1R gene associated with grey lethal disease in grey Shiraz sheep (Persian lamb). THE INDIAN JOURNAL OF ANIMAL SCIENCES 2018. [DOI: 10.56093/ijans.v87i12.79779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
In the present study, MC1R, which play an important role in normal pigmentation in Skeen and wool, was candidate to assess the lethal grey disease in Persian lamb. Blood samples (50) were collected randomly from grey Shiraz sheep, and DNA was extracted by salting out method. One of these samples showing the disease was assigned as control case. Two pairs of specific primers of P1MC1R and P2MC1R were designed to amplify two fragments from upstream regulatory region (URR) and coding sequence (CDS) of MC1R gene. After genotyping by SSCPtechnique, samples from each banding patterns were sequenced and analyzed using BioEdit and DNASIS MAX softwares. Comparing sequences from control (sick lamb) with healthy ones showed different haplotype in productsof each specific primer pairs. The multiple alignments revealed a 26 bp In/Del occurring at PCR product of P1MC1R gene in control case which was not observed in other studied lambs, and also 7 and 11 different positions were seen between sequence amplified by P1MC1R and P2MC1R primers, respectively. Further bioinformatics analysis showed that 26 bp insertion/deletion (In/Del) occurred in control case P1MC1R sequence caused deletion of gamma_IRE_CS and LBP_1_RS motifs from URR of control case. It seems this 26 bp In/Del mutation might have changed its expression and can be potential cause of grey lethal disease in studied sheep breed.
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Song X, Xu C, Liu Z, Yue Z, Liu L, Yang T, Cong B, Yang F. Comparative Transcriptome Analysis of Mink (Neovison vison) Skin Reveals the Key Genes Involved in the Melanogenesis of Black and White Coat Colour. Sci Rep 2017; 7:12461. [PMID: 28963476 PMCID: PMC5622100 DOI: 10.1038/s41598-017-12754-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 09/14/2017] [Indexed: 11/24/2022] Open
Abstract
Farmed mink (Neovison vison) is one of the most important fur-bearing species worldwide, and coat colour is a crucial qualitative characteristic that contributes to the economic value of the fur. To identify additional genes that may play important roles in coat colour regulation, Illumina/Solexa high-throughput sequencing technology was used to catalogue the global gene expression profiles in mink skin with two different coat colours (black and white). RNA-seq analysis indicated that a total of 12,557 genes were differentially expressed in black versus white minks, with 3,530 genes up-regulated and 9,027 genes down-regulated in black minks. Significant differences were not observed in the expression of MC1R and TYR between the two different coat colours, and the expression of ASIP was not detected in the mink skin of either coat colour. The expression levels of KITLG, LEF1, DCT, TYRP1, PMEL, Myo5a, Rab27a and SLC7A11 were validated by qRT-PCR, and the results were consistent with RNA-seq analysis. This study provides several candidate genes that may be associated with the development of two coat colours in mink skin. These results will expand our understanding of the complex molecular mechanisms underlying skin physiology and melanogenesis in mink and will provide a foundation for future studies.
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Affiliation(s)
- Xingchao Song
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Chao Xu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zongyue Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Zhigang Yue
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Linling Liu
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Tongao Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Bo Cong
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China
| | - Fuhe Yang
- Key Laboratory of Special Economic Animal Genetic Breeding and Reproduction, Ministry of Agriculture, State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Economic Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
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23
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Seroussi E, Rosov A, Shirak A, Lam A, Gootwine E. Unveiling genomic regions that underlie differences between Afec-Assaf sheep and its parental Awassi breed. Genet Sel Evol 2017; 49:19. [PMID: 28187715 PMCID: PMC5301402 DOI: 10.1186/s12711-017-0296-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 02/06/2017] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Sheep production in Israel has improved by crossing the fat-tailed local Awassi breed with the East Friesian and later, with the Booroola Merino breed, which led to the formation of the highly prolific Afec-Assaf strain. This strain differs from its parental Awassi breed in morphological traits such as tail and horn size, coat pigmentation and wool characteristics, as well as in production, reproductive and health traits. To identify major genes associated with the formation of the Afec-Assaf strain, we genotyped 41 Awassi and 141 Afec-Assaf sheep using the Illumina Ovine SNP50 BeadChip array, and analyzed the results with PLINK and EMMAX software. The detected variable genomic regions that differed between Awassi and Afec-Assaf sheep (variable genomic regions; VGR) were compared to selection signatures that were reported in 48 published genome-wide association studies in sheep. Because the Afec-Assaf strain, but not the Awassi breed, carries the Booroola mutation, association analysis of BMPR1B used as the test gene was performed to evaluate the ability of this study to identify a VGR that includes such a major gene. RESULTS Of the 20 detected VGR, 12 were novel to this study. A ~7-Mb VGR was identified on Ovies aries chromosome OAR6 where the Booroola mutation is located. Similar to other studies, the most significant VGR was detected on OAR10, in a region that contains candidate genes affecting horn type (RXFP2), climate adaptation (ALOX5AP), fiber diameter (KATNAl1), coat pigmentation (FRY) and genes associated with fat distribution. The VGR on OAR2 included BNC2, which is also involved in controlling coat pigmentation in sheep. Six other VGR contained genes that were shown to be involved in coat pigmentation by analyzing their mammalian orthologues. Genes associated with fat distribution in humans, including GRB14 and COBLL1, were located in additional VGR. Sequencing DNA from Awassi and Afec-Assaf individuals revealed non-synonymous mutations in some of these candidate genes. CONCLUSIONS Our results highlight VGR that differentiate the Awassi breed from the Afec-Assaf strain, some of which may include genes that confer an advantage to Afec-Assaf and Assaf over Awassi sheep with respect to intensive sheep production under Mediterranean conditions.
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Affiliation(s)
- Eyal Seroussi
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Alexander Rosov
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Andrey Shirak
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Alon Lam
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Elisha Gootwine
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
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24
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Gustafson NA, Gandolfi B, Lyons LA. Not another type of potato:MC1Rand the russet coloration of Burmese cats. Anim Genet 2016; 48:116-120. [DOI: 10.1111/age.12505] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2016] [Indexed: 01/06/2023]
Affiliation(s)
- N. A. Gustafson
- Department of Veterinary Medicine & Surgery; College of Veterinary Medicine; University of Missouri - Columbia; Columbia MO 65211 USA
| | - B. Gandolfi
- Department of Veterinary Medicine & Surgery; College of Veterinary Medicine; University of Missouri - Columbia; Columbia MO 65211 USA
| | - L. A. Lyons
- Department of Veterinary Medicine & Surgery; College of Veterinary Medicine; University of Missouri - Columbia; Columbia MO 65211 USA
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25
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Mahmoud AH, Mashaly AM, Rady AM, Al-Anazi KM, Saleh AA. Allelic variation of melanocortin-1 receptor locus in Saudi indigenous sheep exhibiting different color coats. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2016; 30:154-159. [PMID: 27492350 PMCID: PMC5205600 DOI: 10.5713/ajas.16.0138] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 05/21/2016] [Accepted: 08/01/2016] [Indexed: 11/27/2022]
Abstract
Objective This study was designed to characterize the DNA polymorphisms of the melanocortin-1 receptor (MC1R) gene in indigenous Saudi Arabian sheep breeds exhibiting different color coats, along with individuals of the Sawaknee breed, an exotic sheep imported from Sudan. Methods The complete coding region of MC1R gene including parts of 3′ and 5′ untranslated regions was amplified and sequenced from three the indigenous Saudi sheep; Najdi (generally black, n = 41), Naeimi (generally white with brown faces, n = 36) and Herri (generally white, n = 18), in addition to 13 Sawaknee sheep. Results Five single nucleotide polymorphisms (SNPs) were detected in the MC1R gene: two led to nonsynonymous mutations (c.218 T>A, p.73 Met>Lys and c.361 G>A, p.121 Asp>Asn) and three led to synonymous mutations (c.429 C>T, p.143 Tyr>Tyr; c.600 T>G, p.200 Leu>Leu, and c.735 C>T, p.245 Ile>Ile). Based on these five SNPs, eight haplotypes representing MC1R Ed and E+ alleles were identified among the studied sheep breeds. The most common haplotype (H3) of the dominant Ed allele was associated with either black or brown coat color in Najdi and Sawaknee sheep, respectively. Two other haplotypes (H6 and H7) of Ed allele, with only the nonsynonymous mutation A218T, were detected for the first time in Saudi indigenous sheep. Conclusion In addition to investigating the MC1R allelic variation in Saudi indigenous sheep populations, the present study supports the assumption that the two independent nonsynonymous Met73Lys and Asp121Asn mutations in MC1R gene are associated with black or red coat colors in sheep breeds.
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Affiliation(s)
- Ahmed H Mahmoud
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Ashraf M Mashaly
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Ahmed M Rady
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Khalid M Al-Anazi
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Amgad A Saleh
- Department of Plant Protection, College of Food and Agricultural Sciences, King Saud University, Riyadh 11451, Saudi Arabia.,Agricultural Genetic Engineering Research Institute (AGERI), Agriculture Research Center (ARC), Giza 12619, Egypt
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Hepp D, Gonçalves GL, Moreira GRP, de Freitas TRO. Epistatic Interaction of the Melanocortin 1 Receptor and Agouti Signaling Protein Genes Modulates Wool Color in the Brazilian Creole Sheep. J Hered 2016; 107:544-52. [PMID: 27288530 DOI: 10.1093/jhered/esw037] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Accepted: 05/29/2016] [Indexed: 02/01/2023] Open
Abstract
Different pigmentation genes have been associated with color diversity in domestic animal species. The melanocortin 1 receptor (MC1R), agouti signaling protein (ASIP), tyrosinase-related protein 1 (TYRP1), and v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog (KIT) genes are candidate genes responsible for variation in wool color among breeds of sheep. Although the influence of these genes has been described in some breeds, in many others the effect of interactions among genes underlying wool color has not been investigated. The Brazilian Creole sheep is a local breed with a wide variety of wool color, ranging from black to white with several intermediate hues. We analyzed in this study the influence of the genes MC1R, ASIP, TYRP1, and KIT on the control of wool color in this breed. A total of 410 samples were analyzed, including 148 white and 262 colored individuals. The MC1R and ASIP polymorphisms were significantly associated with the segregation of either white or colored wool. The dominant MC1R allele (E(D) p.M73K and p.D121N) was present only in colored animals. All white individuals were homozygous for the MC1R recessive allele (E(+)) and carriers of the duplicated copy of ASIP A gene expression assay showed that only the carrier of the duplicated copy of ASIP produces increased levels in skin, not detectable in the single homozygous copy. These results demonstrate that the epistatic interaction of the genotypes in the MC1R and ASIP gene is responsible for the striking color variation in the Creole breed.
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Affiliation(s)
- Diego Hepp
- From the Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp, Gonçalves, and de Freitas); Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile (Gonçalves); Departamento de Zoologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Moreira); and Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp).
| | - Gislene Lopes Gonçalves
- From the Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp, Gonçalves, and de Freitas); Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile (Gonçalves); Departamento de Zoologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Moreira); and Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp)
| | - Gilson Rudinei Pires Moreira
- From the Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp, Gonçalves, and de Freitas); Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile (Gonçalves); Departamento de Zoologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Moreira); and Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp)
| | - Thales Renato Ochotorena de Freitas
- From the Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp, Gonçalves, and de Freitas); Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile (Gonçalves); Departamento de Zoologia, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Moreira); and Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil (Hepp)
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Skin transcriptome profiles associated with skin color in chickens. PLoS One 2015; 10:e0127301. [PMID: 26030885 PMCID: PMC4452617 DOI: 10.1371/journal.pone.0127301] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 04/14/2015] [Indexed: 12/20/2022] Open
Abstract
Nutritional and medicinal benefits have been attributed to the consumption of tissues from the black-boned chickens in oriental countries. Lueyang black-boned chicken is one of the native chicken breeds. However, some birds may instead have white or lighter skin, which directly causes economic losses every year. Previous studies of pigmentation have focused on a number of genes that may play important roles in coat color regulation. Illumina2000 sequencing technology was used to catalog the global gene expression profiles in the skin of the Lueyang chicken with white versus black skin. A total of 18,608 unigenes were assembled from the reads obtained from the skin of the white and black chickens. A total of 649 known genes were differentially expressed in the black versus white chickens, with 314 genes that were up regulated and 335 genes that were down-regulated, and a total of 162 novel genes were differentially expressed in the black versus white chickens, consisting of 73 genes that were up-regulated (including 4 highly expressed genes that were expressed exclusively in the skin of the black chickens) and 89 genes that were down-regulated. There were also a total of 8 known coat-color genes expressed in previous studies (ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R). In this study, 4 of which showed greater expression in the black chickens, and several were up-regulated, such as KIT, ASIP, TYR and OCA2. To our surprise, KITLG, MITF and MC1R showed no significant difference in expression between the black- and white-skinned chickens, and the expression of TYRP1 was not detected in either skin color. The expression of ASIP, TYR, KIT, TYRP1, OCA2, KITLG, MITF and MC1R was validated by real-time quantitative polymerase chain reaction (qPCR), and the results of the qPCR were consistent with the RNA-seq. This study provides several candidate genes that may be associated with the development of black versus white skin. More importantly, the fact that the MC1R gene showed no significant difference in expression between the black and white chickens is of particular interest for future studies that aim to elucidate its functional role in the regulation of skin color.
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