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Giovannini S, Strillacci MG, Bagnato A, Albertini E, Sarti FM. Genetic and Phenotypic Characteristics of Belted Pig Breeds: A Review. Animals (Basel) 2023; 13:3072. [PMID: 37835678 PMCID: PMC10571877 DOI: 10.3390/ani13193072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023] Open
Abstract
Belted pig breeds have unique, distinguishing phenotypic characteristics. This review summarises the current knowledge on pig breeds displaying a belted coat pattern. Belts of different widths and positions around the animal's trunk characterise specific pig breeds from all around the world. All the breeds included in the present paper have been searched through the FAO domestic animal diversity information system (DAD-IS), Every country was checked to identify all breeds described as having black or red piebald coat pattern variations. Advances in genomic technologies have made it possible to identify the specific genes and genetic markers associated with the belted phenotype and explore the genetic relationships between different local breeds. Thus, the origin, history, and production traits of these breeds, together with all the genomic information related to the mechanism of skin pigmentation, are discussed. By increasing our understanding of these breeds, we can appreciate the richness of our biological and cultural heritage and work to preserve the biodiversity of the world's animals.
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Affiliation(s)
- Samira Giovannini
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
| | - Maria Giuseppina Strillacci
- Department of Veterinary and Animal Science, Università degli Studi di Milano, Via Dell’Università 6, 26900 Lodi, Italy; (M.G.S.); (A.B.)
| | - Alessandro Bagnato
- Department of Veterinary and Animal Science, Università degli Studi di Milano, Via Dell’Università 6, 26900 Lodi, Italy; (M.G.S.); (A.B.)
| | - Emidio Albertini
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
| | - Francesca Maria Sarti
- Department of Agricultural, Food and Environmental Sciences, Università degli Studi di Perugia, Borgo XX Giugno 74, 06121 Perugia, Italy; (E.A.); (F.M.S.)
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2
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Ribani A, Taurisano V, Karatosidi D, Schiavo G, Bovo S, Bertolini F, Fontanesi L. Signatures of Admixture and Genetic Uniqueness in the Autochthonous Greek Black Pig Breed Deduced from Gene Polymorphisms Affecting Domestication-Derived Traits. Animals (Basel) 2023; 13:1763. [PMID: 37889646 PMCID: PMC10251807 DOI: 10.3390/ani13111763] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/20/2023] [Accepted: 05/24/2023] [Indexed: 09/29/2023] Open
Abstract
The Greek Black Pig (or Greek Pig) is the only recognized autochthonous pig breed raised in Greece, usually in extensive or semi-extensive production systems. According to its name, the characteristic breed coat color is solid black. In this study, with the aim to start a systematic genetic characterization of the Greek Black Pig breed, we investigated polymorphisms in major genes well known to affect exterior and production traits (MC1R, KIT, NR6A1, VRTN and IGF2) and compared these data with population genetic information available in other Mediterranean and Western Balkan pig breeds and wild boars. None of the investigated gene markers were fixed for one allele, suggesting that, in the past, this breed experienced introgression from wild boars and admixture from cosmopolitan pig breeds, enriching the breed genetic pool that should be further investigated to design appropriate conservation genetic strategies. We identified a new MC1R allele, containing two missense mutations already reported in two other independent alleles, but here present in the same haplotype. This allele might be useful to disclose biological information that can lead to better understanding the cascade transmission of signals to produce melanin pigments. This study demonstrated that autochthonous genetic resources can be an interesting reservoir of unexpected genetic variants.
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Affiliation(s)
- Anisa Ribani
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
| | - Valeria Taurisano
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
| | - Despoina Karatosidi
- Research Institute of Animal Science, General Directorate of Hellenic Agricultural Organisation “Demeter”, Paralimni Giannitsa, 58100 Pella, Greece;
| | - Giuseppina Schiavo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
| | - Samuele Bovo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
| | - Francesca Bertolini
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
| | - Luca Fontanesi
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy; (A.R.); (V.T.); (G.S.); (S.B.); (F.B.)
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3
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Fontanesi L. Genetics and genomics of pigmentation variability in pigs: A review. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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4
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Buggiotti L, Yudin NS, Larkin DM. Copy Number Variants in Two Northernmost Cattle Breeds Are Related to Their Adaptive Phenotypes. Genes (Basel) 2022; 13:genes13091595. [PMID: 36140763 PMCID: PMC9498843 DOI: 10.3390/genes13091595] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/26/2022] [Accepted: 09/02/2022] [Indexed: 11/25/2022] Open
Abstract
Copy number variations (CNVs) are genomic structural variants with potential functional and evolutionary effects on phenotypes. In this study, we report the identification and characterization of CNVs from the whole-genome resequencing data of two northernmost cattle breeds from Russia: the Yakut and Kholmogory cattle and their phylogenetically most related breeds, Hanwoo and Holstein, respectively. Comparisons of the CNV regions (CNVRs) among the breeds led to the identification of breed-specific CNVRs shared by cold-adapted Kholmogory and Yakut cattle. An investigation of their overlap with genes, regulatory domains, conserved non-coding elements (CNEs), enhancers, and quantitative trait loci (QTLs) was performed to further explore breed-specific biology and adaptations. We found CNVRs enriched for gene ontology terms related to adaptation to environments in both the Kholmogory and Yakut breeds and related to thermoregulation specifically in Yakut cattle. Interestingly, the latter has also been supported when exploring the enrichment of breed-specific CNVRs in the regulatory domains and enhancers, CNEs, and QTLs implying the potential contribution of CNVR to the Yakut and Kholmogory cattle breeds’ adaptation to a harsh environment.
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Affiliation(s)
- Laura Buggiotti
- Royal Veterinary College, University of London, London NW1 0TU, UK
| | - Nikolay S. Yudin
- The Federal State Budgetary Institution of Science Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk 630090, Russia
- Kurchatov Genomics Center, the Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science (ICG SB RAS), Novosibirsk 630090, Russia
| | - Denis M. Larkin
- Royal Veterinary College, University of London, London NW1 0TU, UK
- Correspondence:
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5
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Voß K, Blaj I, Tetens JL, Thaller G, Becker D. Roan coat color in livestock. Anim Genet 2022; 53:549-556. [PMID: 35811453 DOI: 10.1111/age.13240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 11/27/2022]
Abstract
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.
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Affiliation(s)
- Katharina Voß
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Iulia Blaj
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Julia L Tetens
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Doreen Becker
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
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6
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Identification of Candidate Genes for Pigmentation in Camels Using Genotyping-by-Sequencing. Animals (Basel) 2022; 12:ani12091095. [PMID: 35565522 PMCID: PMC9104199 DOI: 10.3390/ani12091095] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/16/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022] Open
Abstract
The coat color of dromedary is usually uniform and varies from black to white, although dark- to light-brown colors are the most common phenotypes. This project was designed to gain knowledge on novel color-related variants using genotyping-by-sequencing (GBS). The association between the SNPs and coat color was tested using MLM (mixed linear models) with kinship matrix. Three GWAS models including white color vs. non-white color, black vs. non-black color, and light-brown vs. dark-brown color were performed. There were no distinct genetic clusters detected based on the color phenotypes. However, admixture occurred among all individuals of the four different coat color groups. We identified nine significant SNPs associated with white color after Bonferroni correction, located close to ANKRD26, GNB1, TSPYL4, TEKT5, DEXI, CIITA, TVP23B, CLEC16A, TMPRSS13, FXYD6, MPZL3, ANKRD26, HFM1, CDC7, TGFBR3, and HACE1 genes in neighboring flanking regions. The 13 significant SNPs associated with black color and the candidate genes were: CAPN7, CHRM4, CIITA, CLEC16A, COL4A4, COL6A6, CREB3L1, DEXI, DGKZ, DGKZ, EAF1, HDLBP, INPP5F, MCMBP, MDK, SEC23IP, SNAI1, TBX15, TEKT5, TMEM189, trpS, TSPYL4, TVP23B, and UBE2V1. The SNAI1 gene interacted with MCIR, ASIP and KIT genes. These genes play a key role in the melanin biosynthetic and pigmentation biological process and melanogenesis biological pathway. Further research using a larger sample size and pedigree data will allow confirmation of associated SNPs and the identified candidate genes.
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Liu X, Yang P, Sun H, Zhang Z, Cai C, Xu J, Ding X, Wang X, Lyu S, Li Z, Xu Z, Shi Q, Wang E, Lei C, Chen H, Ru B, Huang Y. CNV analysis of VAMP7 gene reveals variation associated with growth traits in Chinese cattle. Anim Biotechnol 2022:1-7. [PMID: 35236249 DOI: 10.1080/10495398.2021.2011741] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Copy number variant (CNV), a common genetic polymorphism, is closely related to the phenotypic variation traits of organisms. Vesicle-associated membrane protein 7 gene (VAMP7) codes a protein, which is a member of the SNARE proteins family and plays an important role in the process of intracellular vesicle transport. In this study, a total of four cattle breeds (Yunling cattle, Xianan cattle, Pinan cattle, Jiaxian red cattle) were used to investigate the copy numbers, and we found an association relationship between CNV of VAMP7 gene and growth traits of cattle by SPSS 20.0 software. The results showed that the CNV type of VAMP7 gene in four cattle breeds had the same distribution, Duplication type occupies a dominant position among the four varieties. In Yunling cattle, the Duplication type of VAMP7 is significantly related to the height at the hip cross (p < 0.05), Individuals with Duplication type commonly have less performance on growth and development, which indicates that the Duplication type of the VAMP7 gene may have a negative effect on cattle growth. Individuals with the other two CNV types may become the breeding direction of the VAMP7 gene. This study provided a new perspective and basic material for the molecular genetics of the CNV of the VAMP7 gene, and also promoted the breeding progress of Chinese local cattle.
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Affiliation(s)
- Xian Liu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, People's Republic of China
| | - Peng Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Haoming Sun
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, People's Republic of China
| | - Cuicui Cai
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, People's Republic of China
| | - Jiawei Xu
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Xiaoting Ding
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, People's Republic of China
| | - Shijie Lyu
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, People's Republic of China
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station, Zhengzhou, People's Republic of China
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, People's Republic of China
| | - Qiaoting Shi
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, People's Republic of China
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, People's Republic of China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station, Zhengzhou, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, People's Republic of China
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8
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Shatokhin KS. Problems of mini-pig breeding. Vavilovskii Zhurnal Genet Selektsii 2021; 25:284-291. [PMID: 34901725 PMCID: PMC8627873 DOI: 10.18699/vj21.032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 02/02/2021] [Accepted: 02/10/2021] [Indexed: 11/19/2022] Open
Abstract
This article provides an overview of some problems of the breeding and reproduction of laboratory minipigs. The most obvious of these are the lack of centralized accounting of breeding groups, uniform selection standards
for reproduction and evaluation of breeding animals, as well as minimizing the accumulation of fitness-reducing
mutations and maintaining genetic diversity. According to the latest estimates, there are at least 30 breeding groups
of mini-pigs systematically used as laboratory animals in the world. Among them, there are both breed formations
represented by several colonies, and breeding groups consisting of a single herd. It was shown that the main selection
strategy is selection for the live weight of adults of 50–80 kg and the adaptation of animals to a specific type of biomedical experiments. For its implementation in the breeding of foreign mini-pigs, selection by live weight is practiced
at 140- and 154-day-old age. It was indicated that different herds of mini-pigs have their own breeding methods to
counteract inbred depression and maintain genetic diversity. Examples are the maximization of coat color phenotypes, the cyclical system of matching parent pairs, and the structuring of herds into subpopulations. In addition,
in the breeding of foreign mini-pigs, molecular genetic methods are used to monitor heterozygosity. Every effort is
made to keep the number of inbred crosses in the breeding of laboratory mini-pigs to a minimum, which is not always
possible due to their small number. It is estimated that to avoid close inbreeding, the number of breeding groups
should be at least 28 individuals, including boars of at least 4 genealogical lines and at least 4 families of sows. The
accumulation of genetic cargo in herds of mini-pigs takes place, but the harmful effect is rather the result of erroneous
decisions of breeders. Despite the fact that when breeding a number of mini-pigs, the goal was to complete the herds
with exclusively white animals, in most breeding groups there is a polymorphism in the phenotype of the coat color
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Affiliation(s)
- K S Shatokhin
- Novosibirsk State Agrarian University, Novosibirsk, Russia
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9
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Yang Y, Yan J, Fan X, Chen J, Wang Z, Liu X, Yi G, Liu Y, Niu Y, Zhang L, Wang L, Li S, Li K, Tang Z. The genome variation and developmental transcriptome maps reveal genetic differentiation of skeletal muscle in pigs. PLoS Genet 2021; 17:e1009910. [PMID: 34780471 PMCID: PMC8629385 DOI: 10.1371/journal.pgen.1009910] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/29/2021] [Accepted: 10/25/2021] [Indexed: 12/13/2022] Open
Abstract
Natural and artificial directional selections have resulted in significantly genetic and phenotypic differences across breeds in domestic animals. However, the molecular regulation of skeletal muscle diversity remains largely unknown. Here, we conducted transcriptome profiling of skeletal muscle across 27 time points, and performed whole-genome re-sequencing in Landrace (lean-type) and Tongcheng (obese-type) pigs. The transcription activity decreased with development, and the high-resolution transcriptome precisely captured the characterizations of skeletal muscle with distinct biological events in four developmental phases: Embryonic, Fetal, Neonatal, and Adult. A divergence in the developmental timing and asynchronous development between the two breeds was observed; Landrace showed a developmental lag and stronger abilities of myoblast proliferation and cell migration, whereas Tongcheng had higher ATP synthase activity in postnatal periods. The miR-24-3p driven network targeting insulin signaling pathway regulated glucose metabolism. Notably, integrated analysis suggested SATB2 and XLOC_036765 contributed to skeletal muscle diversity via regulating the myoblast migration and proliferation, respectively. Overall, our results provide insights into the molecular regulation of skeletal muscle development and diversity in mammals.
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Affiliation(s)
- Yalan Yang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | - Junyu Yan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xinhao Fan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jiaxing Chen
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Zishuai Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Xiaoqin Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- Guangxi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
| | - Yuwen Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
| | | | - Longchao Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lixian Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - ShuaiCheng Li
- Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China
- * E-mail: (SCL); (KL); (ZLT)
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
- * E-mail: (SCL); (KL); (ZLT)
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Kunpeng Institute of Modern Agriculture at Foshan, Foshan, China
- Guangxi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
- Research Centre of Animal Nutritional Genomics, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Shenzhen, China
- * E-mail: (SCL); (KL); (ZLT)
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10
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Brancalion L, Haase B, Wade CM. Canine coat pigmentation genetics: a review. Anim Genet 2021; 53:3-34. [PMID: 34751460 DOI: 10.1111/age.13154] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/21/2021] [Accepted: 10/20/2021] [Indexed: 11/27/2022]
Abstract
Our understanding of canine coat colour genetics and the associated health implications is developing rapidly. To date, there are 15 genes with known roles in canine coat colour phenotypes. Many coat phenotypes result from complex and/or epistatic genetic interactions among variants within and between loci, some of which remain unidentified. Some genes involved in canine pigmentation have been linked to aural, visual and neurological impairments. Consequently, coat pigmentation in the domestic dog retains considerable ethical and economic interest. In this paper we discuss coat colour phenotypes in the domestic dog, the genes and variants responsible for these phenotypes and any proven coat colour-associated health effects.
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Affiliation(s)
- L Brancalion
- Faculty of Science, School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
| | - B Haase
- Faculty of Science, School of Veterinary Science, University of Sydney, Camperdown, NSW, 2006, Australia
| | - C M Wade
- Faculty of Science, School of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, 2006, Australia
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11
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Saravanaperumal SA, Pallotti S, Pediconi D, Renieri C, La Terza A. Exon-1 skipping and intron-1 retaining by alternative splicing of the c-KIT gene encodes a novel splice variant in the skin of Merino sheep (Ovis aries). Mol Biol Rep 2021; 48:4987-4994. [PMID: 34148208 DOI: 10.1007/s11033-021-06486-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/08/2021] [Indexed: 12/01/2022]
Abstract
c-KIT, a type III receptor protein tyrosine kinase, plays an essential role in melanocyte development, migration, and survival. Mutations within the c-KIT gene are previously shown to cause the white coat color phenotypes in pigs, mice, goats, and humans. However, up so far, the splicing isoform(s), genomic architecture of c-KIT have not been characterized well in merino sheep. Reverse transcriptase (RT)-PCR analysis with molecular prediction identified two basic splice variants: Transcript Variant-1, 2 for 12 bp insertion coding sequences (CDS) corresponding to the four amino acids 'GNSK', respectively. Using 5' RACE, here we report for the first time a novel c-KIT 'Transcript Variant-3' from the skin of merino sheep by comparative genome analyses at exon(1)-intron(1)-exon(2) boundaries. In contrast, a single product of 795 bp was characterized by 3' RACE. We also demonstrated that the c-KIT gene expression at the transcript level is not mediated via an intron-9 splicing event. Overall, beyond what was observed in other mammals, our data provide novel insights into the molecular structure of the c-KIT gene in sheep.
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Affiliation(s)
- Siva Arumugam Saravanaperumal
- Department of Physiology and Biomedical Engineering, Mayo Clinic, 200 First Street SW Guggenheim 10-21C, Rochester, MN, 55905, USA.
| | - Stefano Pallotti
- School of Pharmacy, University of Camerino, Via Gentile III da Varano, 62032, Camerino, Italy.
| | - Dario Pediconi
- School of Pharmacy, University of Camerino, Via Gentile III da Varano, 62032, Camerino, Italy
| | - Carlo Renieri
- School of Pharmacy, University of Camerino, Via Gentile III da Varano, 62032, Camerino, Italy
| | - Antonietta La Terza
- School of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III da Varano, 62032, Camerino, Italy.
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12
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Whole-genome genotyping and resequencing reveal the association of a deletion in the complex interferon alpha gene cluster with hypothyroidism in dogs. BMC Genomics 2020; 21:307. [PMID: 32299354 PMCID: PMC7160888 DOI: 10.1186/s12864-020-6700-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 03/24/2020] [Indexed: 12/30/2022] Open
Abstract
Background Hypothyroidism is a common complex endocrinopathy that typically has an autoimmune etiology, and it affects both humans and dogs. Genetic and environmental factors are both known to play important roles in the disease development. In this study, we sought to identify the genetic risk factors potentially involved in the susceptibility to the disease in the high-risk Giant Schnauzer dog breed. Results By employing genome-wide association followed by fine-mapping (top variant p-value = 5.7 × 10− 6), integrated with whole-genome resequencing and copy number variation analysis, we detected a ~ 8.9 kbp deletion strongly associated (p-value = 0.0001) with protection against development of hypothyroidism. The deletion is located between two predicted Interferon alpha (IFNA) genes and it may eliminate functional elements potentially involved in the transcriptional regulation of these genes. Remarkably, type I IFNs have been extensively associated to human autoimmune hypothyroidism and general autoimmunity. Nonetheless, the extreme genomic complexity of the associated region on CFA11 warrants further long-read sequencing and annotation efforts in order to ascribe functions to the identified deletion and to characterize the canine IFNA gene cluster in more detail. Conclusions Our results expand the current knowledge on genetic determinants of canine hypothyroidism by revealing a significant link with the human counterpart disease, potentially translating into better diagnostic tools across species, and may contribute to improved canine breeding strategies.
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Sun G, Liang X, Qin K, Qin Y, Shi X, Cong P, Mo D, Liu X, Chen Y, He Z. Functional Analysis of KIT Gene Structural Mutations Causing the Porcine Dominant White Phenotype Using Genome Edited Mouse Models. Front Genet 2020; 11:138. [PMID: 32194624 PMCID: PMC7063667 DOI: 10.3389/fgene.2020.00138] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 02/06/2020] [Indexed: 01/19/2023] Open
Abstract
The dominant white phenotype in pigs is thought to be mainly due to a structural mutation in the KIT gene, a splice mutation (G > A) at the first base in intron 17 which leads to the deletion of exon 17 in the mature KIT mRNA. However, this hypothesis has not yet been validated by functional studies. Here, we created two mouse models, KIT D17/+ to mimic the splice mutation, and KIT Dup/+ to partially mimic the duplication mutation of KIT gene in dominant white pigs using CRISPR/Cas9 technology. We found that the splice mutation homozygote is lethal and the heterozygous mice have a piebald coat. Slightly increased expression of KIT in KIT Dup/+ mice did not confer the patched phenotype and had no obvious impact on coat color. Interestingly, the combination of these two mutations reduced the phosphorylation of PI3K and MAPK pathway associated proteins, which may be related to the impaired migration of melanoblasts observed during embryonic development that eventually leads to the dominant white phenotype.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Zuyong He
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
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14
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Transcriptional Differences of Coding and Non-Coding Genes Related to the Absence of Melanocyte in Skins of Bama Pig. Genes (Basel) 2019; 11:genes11010047. [PMID: 31905971 PMCID: PMC7017308 DOI: 10.3390/genes11010047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 12/16/2019] [Accepted: 12/22/2019] [Indexed: 01/31/2023] Open
Abstract
Skin is the body’s largest organ, and the main function of skin is to protect underlying organs from possible external damage. Melanocytes play an important role in skin pigmentation. The Bama pig has a “two-end-black” phenotype with different coat colors across skin regions, e.g., white skin (without melanocytes) and black skin (with melanocytes), which could be a model to investigate skin-related disorders, specifically loss of melanocytes. Here, we generated expression profiles of mRNAs and long noncoding RNAs in Bama pig skins with different coat colors. In total, 14,900 mRNAs and 7549 lncRNAs were expressed. Overall, 2338 mRNAs/113 lncRNAs with FDR-adjusted p-value ≤ 0.05 were considered to be differentially expressed (DE) mRNAs/lncRNAs, with 1305 down-regulated mRNAs and 1033 up-regulated mRNAs in white skin with|log2(fold change)| > 1. The genes down-regulated in white skin were associated with pigmentation, melanocyte–keratinocyte interaction, and keratin, while up-regulated ones were mainly associated with cellular energy metabolisms. Furthermore, those DE lncRNAs were predicted to be implicated in pigmentation, keratin synthesis and cellular energy metabolism. In general, this study provides insight into the transcriptional difference involved in melanocyte-loss-induced keratinocyte changes and promotes the Bama pig as a biomedical model in skin research.
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15
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Qin K, Liang X, Sun G, Shi X, Wang M, Liu H, Chen Y, Liu X, He Z. Highly efficient correction of structural mutations of 450 kb KIT locus in kidney cells of Yorkshire pig by CRISPR/Cas9. BMC Mol Cell Biol 2019; 20:4. [PMID: 31041890 PMCID: PMC6446502 DOI: 10.1186/s12860-019-0184-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 03/11/2019] [Indexed: 11/23/2022] Open
Abstract
The white coat colour of Yorkshire and Landrace pig breeds is caused by the dominant white I allele of KIT, associated with 450-kb duplications and a splice mutation (G > A) at the first base in intron 17. To test whether genome editing can be employed to correct this structural mutation, and to investigate the role of KIT in the control of porcine coat colour, we designed sgRNAs targeting either intron 16 or intron 17 of KIT, and transfected Cas9/sgRNA co-expression plasmids into the kidney cells of Yorkshire pigs. The copy number of KIT was reduced by about 13%, suggesting the possibility of obtaining cells with corrected structural mutations of the KIT locus. Using single cell cloning, from 24 successfully expanded single cell clones derived from cells transfected with sgRNA targeting at intron 17, we obtained 3 clones with a single copy of KIT without the splice mutation. Taken together, the 12.5% (3/24) efficiency of correction of structural mutations of 450 kb fragments is highly efficient, providing a solid basis for the generation of genome edited Yorkshire pigs with a normal KIT locus. This provides an insight into the underlying genetic mechanisms of porcine coat colour.
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Affiliation(s)
- Ke Qin
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Xinyu Liang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Guanjie Sun
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Xuan Shi
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Min Wang
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Hongbo Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China
| | - Zuyong He
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510006, People's Republic of China.
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16
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Lye ZN, Purugganan MD. Copy Number Variation in Domestication. TRENDS IN PLANT SCIENCE 2019; 24:352-365. [PMID: 30745056 DOI: 10.1016/j.tplants.2019.01.003] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 01/08/2019] [Accepted: 01/10/2019] [Indexed: 05/22/2023]
Abstract
Domesticated plants have long served as excellent models for studying evolution. Many genes and mutations underlying important domestication traits have been identified, and most causal mutations appear to be SNPs. Copy number variation (CNV) is an important source of genetic variation that has been largely neglected in studies of domestication. Ongoing work demonstrates the importance of CNVs as a source of genetic variation during domestication, and during the diversification of domesticated taxa. Here, we review how CNVs contribute to evolutionary processes underlying domestication, and review examples of domestication traits caused by CNVs. We draw from examples in plant species, but also highlight cases in animal systems that could illuminate the roles of CNVs in the domestication process.
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Affiliation(s)
- Zoe N Lye
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA
| | - Michael D Purugganan
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA; Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates.
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17
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Wu Z, Deng Z, Huang M, Hou Y, Zhang H, Chen H, Ren J. Whole-Genome Resequencing Identifies KIT New Alleles That Affect Coat Color Phenotypes in Pigs. Front Genet 2019; 10:218. [PMID: 30949195 PMCID: PMC6436083 DOI: 10.3389/fgene.2019.00218] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 02/27/2019] [Indexed: 12/13/2022] Open
Abstract
The Duroc × (Landrace × Large White) hybrid pig (DLY) is the most popular commercial pig used in the Chinese pig industry. DLY pigs are usually white but sometimes show colored phenotypes. Colored DLY pigs are not favored by slaughterhouses and retailers, thus causing certain economic losses to farmers in China. In this study, we first conducted a genome-wide association study and RNA sequencing to demonstrate that KIT variants are responsible for diversifying coat color phenotypes segregating in a DLY population. We then defined the precise sizes and locations of four duplications (DUP1-4), four candidate causative mutations at the KIT locus, in the pig reference genome using the whole-genome sequence data of representative colored individuals. The sequence data also enabled us to identify a list of new KIT alleles. By investigating the association between these new alleles and coat color phenotypes, we provide further evidence that DUP2 is another causative mutation for the solid white coat color in pigs. DUP1 (the KIT gene duplication), DUP2 and the splice mutation are all required for the manifestation of a solid white coat color. DUP4 had a more significant effect on the formation of the belt phenotype compared with DUP3. Given the necessity of DUP2 for the solid white coat color, we detected IN/IN homozygotes lacking DUP2 in Large White and Landrace pigs and found that French Landrace pigs had the highest frequency (8.98%) of IN/IN individuals. This study not only advances our understanding of the molecular mechanism of the color phenotype in pigs, but also establishes a simple and accurate method for the screening of KIT IN/IN homozygotes in Large White and Landrace that would cause colored DLY pigs.
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Affiliation(s)
- Zhongping Wu
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Zheng Deng
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Min Huang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Yong Hou
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Hui Zhang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Hao Chen
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Jun Ren
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
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18
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Wang GD, Shao XJ, Bai B, Wang J, Wang X, Cao X, Liu YH, Wang X, Yin TT, Zhang SJ, Lu Y, Wang Z, Wang L, Zhao W, Zhang B, Ruan J, Zhang YP. Structural variation during dog domestication: insights from gray wolf and dhole genomes. Natl Sci Rev 2019; 6:110-122. [PMID: 34694297 PMCID: PMC8291444 DOI: 10.1093/nsr/nwy076] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 06/27/2018] [Accepted: 07/17/2018] [Indexed: 12/11/2022] Open
Abstract
Several processes like phenotypic evolution, disease susceptibility and environmental adaptations, which fashion the domestication of animals, are largely attributable to structural variations (SVs) in the genome. Here, we present high-quality draft genomes of the gray wolf (Canis lupus) and dhole (Cuon alpinus) with scaffold N50 of 6.04 Mb and 3.96 Mb, respectively. Sequence alignment comprising genomes of three canid species reveals SVs specific to the dog, particularly 16 315 insertions, 2565 deletions, 443 repeats, 16 inversions and 15 translocations. Functional annotation of the dog SVs associated with genes indicates their enrichments in energy metabolisms, neurological processes and immune systems. Interestingly, we identify and verify at population level an insertion fully covering a copy of the AKR1B1 (Aldo-Keto Reductase Family 1 Member B) transcript. Transcriptome analysis reveals a high level of expression of the new AKR1B1 copy in the small intestine and liver, implying an increase in de novo fatty acid synthesis and antioxidant ability in dog compared to gray wolf, likely in response to dietary shifts during the agricultural revolution. For the first time, we report a comprehensive analysis of the evolutionary dynamics of SVs during the domestication step of dogs. Our findings demonstrate that retroposition can birth new genes to facilitate domestication, and affirm the importance of large-scale genomic variants in domestication studies.
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Affiliation(s)
- Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiu-Juan Shao
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Bing Bai
- Medical Faculty, Kunming University of Science and Technology, Kunming 650504, China
- Department of Pediatrics, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - Junlong Wang
- College of Pharmacology, Soochow University, Suzhou 215123, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiaobo Wang
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xue Cao
- Department of Laboratory Animal Science, Kunming Medical University, Kunming 650500, China
| | - Yan-Hu Liu
- Laboratory for Conservation and Utilization of Bio-Resources and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming 650091, China
| | - Xuan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Ting-Ting Yin
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Shao-Jie Zhang
- Laboratory for Conservation and Utilization of Bio-Resources and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming 650091, China
| | - Yan Lu
- Beijing Zoo, Beijing 100044, China
| | | | - Lu Wang
- Laboratory for Conservation and Utilization of Bio-Resources and Key Laboratory for Microbial Resources of the Ministry of Education, Yunnan University, Kunming 650091, China
| | - Wenming Zhao
- Core Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Bing Zhang
- Core Genomic Facility, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jue Ruan
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
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19
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Muñoz M, Bozzi R, García F, Núñez Y, Geraci C, Crovetti A, García-Casco J, Alves E, Škrlep M, Charneca R, Martins JM, Quintanilla R, Tibau J, Kušec G, Djurkin-Kušec I, Mercat MJ, Riquet J, Estellé J, Zimmer C, Razmaite V, Araujo JP, Radović Č, Savić R, Karolyi D, Gallo M, Čandek-Potokar M, Fontanesi L, Fernández AI, Óvilo C. Diversity across major and candidate genes in European local pig breeds. PLoS One 2018; 13:e0207475. [PMID: 30458028 PMCID: PMC6245784 DOI: 10.1371/journal.pone.0207475] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 10/30/2018] [Indexed: 11/18/2022] Open
Abstract
The aim of this work was to analyse the distribution of causal and candidate mutations associated to relevant productive traits in twenty local European pig breeds. Also, the potential of the SNP panel employed for elucidating the genetic structure and relationships among breeds was evaluated. Most relevant genes and mutations associated with pig morphological, productive, meat quality, reproductive and disease resistance traits were prioritized and analyzed in a maximum of 47 blood samples from each of the breeds (Alentejana, Apulo-Calabrese, Basque, Bísara, Majorcan Black, Black Slavonian (Crna slavonska), Casertana, Cinta Senese, Gascon, Iberian, Krškopolje (Krškopoljski), Lithuanian indigenous wattle, Lithuanian White Old Type, Mora Romagnola, Moravka, Nero Siciliano, Sarda, Schwäbisch-Hällisches Schwein (Swabian Hall pig), Swallow-Bellied Mangalitsa and Turopolje). We successfully analyzed allelic variation in 39 polymorphisms, located in 33 candidate genes. Results provide relevant information regarding genetic diversity and segregation of SNPs associated to production and quality traits. Coat color and morphological trait-genes that show low level of segregation, and fixed SNPs may be useful for traceability. On the other hand, we detected SNPs which may be useful for association studies as well as breeding programs. For instance, we observed predominance of alleles that might be unfavorable for disease resistance and boar taint in most breeds and segregation of many alleles involved in meat quality, fatness and growth traits. Overall, these findings provide a detailed catalogue of segregating candidate SNPs in 20 European local pig breeds that may be useful for traceability purposes, for association studies and for breeding schemes. Population genetic analyses based on these candidate genes are able to uncover some clues regarding the hidden genetic substructure of these populations, as the extreme genetic closeness between Iberian and Alentejana breeds and an uneven admixture of the breeds studied. The results are in agreement with available knowledge regarding breed history and management, although largest panels of neutral markers should be employed to get a deeper understanding of the population's structure and relationships.
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Affiliation(s)
- María Muñoz
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | | | - Fabián García
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - Yolanda Núñez
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - Claudia Geraci
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | | | | | | | | | - Rui Charneca
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | - Jose M. Martins
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | | | - Joan Tibau
- Programa de Genética y Mejora Animal, IRTA, Barcelona, Spain
| | - Goran Kušec
- University of Osijek, Faculty of Agrobiotechnical Sciences, Osijek, Croatia
| | | | | | - Juliette Riquet
- Génétique Physiologie et Système d’Elevage, INRA, Castanet-Tolosan, France
| | - Jordi Estellé
- GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Christoph Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Schwäbisch Hall, Germany
| | - Violeta Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, Baisogala, Lithuania
| | - Jose P. Araujo
- Instituto Politecnico de Viana do Castelo, Viana do Castelo, Portugal
| | - Čedomir Radović
- Institute for Animal Husbandry-Pig Research Department, Belgrade-Zemun, Serbia
| | - Radomir Savić
- University of Belgrade, Faculty of agriculture, Belgrade-Zemun, Serbia
| | - Danijel Karolyi
- Department of animal science, Faculty of agriculture, University of Zagreb, Zagreb, Croatia
| | - Maurizio Gallo
- Associazione Nazionale Allevatori Suini (ANAS), Roma, Italy
| | | | - Luca Fontanesi
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | | | - Cristina Óvilo
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
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20
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Divergent Evolutional Mode and Purifying Selection of the KIT Gene in European and Asian Domestic Pig Breeds. BIOMED RESEARCH INTERNATIONAL 2018; 2018:8932945. [PMID: 30211229 PMCID: PMC6120332 DOI: 10.1155/2018/8932945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 06/15/2018] [Accepted: 06/20/2018] [Indexed: 11/17/2022]
Abstract
The recent geographic expansion of wild boars and the even more recent development of numerous domestic pigs have spurred exploration on pig domestic origins. The porcine KIT gene has been showed to affect pleiotropic effects, blood parameters, and coat colour phenotypes, especially the white colour phenotype formation in European commercial breeds. Here, we described the use of SNPs to identify different selection patterns on the porcine KIT gene and the phylogenetic relationships of the inferred haplotypes. The phylogenetic tree revealed four clades in European and Asian wild and domestic pigs: two major clades with European and Asian origins and one minor clade with Iberian origins as well as the other minor clade in Asia, consistent with the major introgression of domestic Asian pigs in Europe around 18th -19th century. The domestication history of pigs, which occurred in the domestication centers (Europe and Asia), has also been demonstrated by mtDNA analysis. Furthermore, both Asian and European domestic pigs evolved under purifying selection. This study indicated that domestic pigs in Europe and Asia have different lineage origins but the porcine KIT gene was undergoing a purifying selection during their evolutional histories.
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21
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Li X, Li X, Luo R, Wang W, Wang T, Tang H. Detection of KIT Genotype in Pigs by TaqMan MGB Real-Time Quantitative Polymerase Chain Reaction. DNA Cell Biol 2018; 37:457-464. [DOI: 10.1089/dna.2017.4070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Xiuxiu Li
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Tai'an, P.R. China
- College of Animal Science, Shandong Agricultural University, Tai'an, P.R. China
| | - Xiaoning Li
- Lishan College, Shandong Normal University, Jinan, P.R. China
| | - Rongrong Luo
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Tai'an, P.R. China
- College of Animal Science, Shandong Agricultural University, Tai'an, P.R. China
| | - Wenwen Wang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Tai'an, P.R. China
- College of Animal Science, Shandong Agricultural University, Tai'an, P.R. China
| | - Tao Wang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Tai'an, P.R. China
| | - Hui Tang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Tai'an, P.R. China
- College of Animal Science, Shandong Agricultural University, Tai'an, P.R. China
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22
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Bhanuprakash V, Chhotaray S, Pruthviraj DR, Rawat C, Karthikeyan A, Panigrahi M. Copy number variation in livestock: A mini review. Vet World 2018; 11:535-541. [PMID: 29805222 PMCID: PMC5960796 DOI: 10.14202/vetworld.2018.535-541] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 03/31/2018] [Indexed: 01/22/2023] Open
Abstract
Copy number variation (CNV) is a phenomenon in which sections of the genome, ranging from one kilo base pair (Kb) to several million base pairs (Mb), are repeated and the number of repeats vary between the individuals in a population. It is an important source of genetic variation in an individual which is now being utilized rather than single nucleotide polymorphisms (SNPs), as it covers the more genomic region. CNVs alter the gene expression and change the phenotype of an individual due to deletion and duplication of genes in the copy number variation regions (CNVRs). Earlier, researchers extensively utilized SNPs as the main source of genetic variation. But now, the focus is on identification of CNVs associated with complex traits. With the recent advances and reduction in the cost of sequencing, arrays are developed for genotyping which cover the maximum number of SNPs at a time that can be used for detection of CNVRs and underlying quantitative trait loci (QTL) for the complex traits to accelerate genetic improvement. CNV studies are also being carried out to understand the evolutionary mechanism in the domestication of livestock and their adaptation to the different environmental conditions. The main aim of the study is to review the available data on CNV and its role in genetic variation among the livestock.
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Affiliation(s)
- V Bhanuprakash
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Supriya Chhotaray
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - D R Pruthviraj
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Chandrakanta Rawat
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - A Karthikeyan
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Manjit Panigrahi
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
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23
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Nazari-Ghadikolaei A, Mehrabani-Yeganeh H, Miarei-Aashtiani SR, Staiger EA, Rashidi A, Huson HJ. Genome-Wide Association Studies Identify Candidate Genes for Coat Color and Mohair Traits in the Iranian Markhoz Goat. Front Genet 2018; 9:105. [PMID: 29670642 PMCID: PMC5893768 DOI: 10.3389/fgene.2018.00105] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/16/2018] [Indexed: 12/31/2022] Open
Abstract
The Markhoz goat provides an opportunity to study the genetics underlying coat color and mohair traits of an Angora type goat using genome-wide association studies (GWAS). This indigenous Iranian breed is valued for its quality mohair used in ceremonial garments and has the distinction of exhibiting an array of coat colors including black, brown, and white. Here, we performed 16 GWAS for different fleece (mohair) traits and coat color in 228 Markhoz goats sampled from the Markhoz Goat Research Station in Sanandaj, Kurdistan province, located in western Iran using the Illumina Caprine 50K beadchip. The Efficient Mixed Model Linear analysis was used to identify genomic regions with potential candidate genes contributing to coat color and mohair characteristics while correcting for population structure. Significant associations to coat color were found within or near the ASIP, ITCH, AHCY, and RALY genes on chromosome 13 for black and brown coat color and the KIT and PDGFRA genes on chromosome 6 for white coat color. Individual mohair traits were analyzed for genetic association along with principal components that allowed for a broader perspective of combined traits reflecting overall mohair quality and volume. A multitude of markers demonstrated significant association to mohair traits highlighting potential candidate genes of POU1F1 on chromosome 1 for mohair quality, MREG on chromosome 2 for mohair volume, DUOX1 on chromosome 10 for yearling fleece weight, and ADGRV1 on chromosome 7 for grease percentage. Variation in allele frequencies and haplotypes were identified for coat color and differentiated common markers associated with both brown and black coat color. This demonstrates the potential for genetic markers to be used in future breeding programs to improve selection for coat color and mohair traits. Putative candidate genes, both novel and previously identified in other species or breeds, require further investigation to confirm phenotypic causality and potential epistatic relationships.
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Affiliation(s)
- Anahit Nazari-Ghadikolaei
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Hassan Mehrabani-Yeganeh
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Seyed R. Miarei-Aashtiani
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | | | - Amir Rashidi
- Department of Animal Science, Faculty of Agriculture Engineering, University of Kurdistan, Sanandaj, Iran
| | - Heather J. Huson
- Department of Animal Science, Cornell University, Ithaca, NY, United States
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Yang R, Fang S, Wang J, Zhang C, Zhang R, Liu D, Zhao Y, Hu X, Li N. Genome-wide analysis of structural variants reveals genetic differences in Chinese pigs. PLoS One 2017; 12:e0186721. [PMID: 29065176 PMCID: PMC5655481 DOI: 10.1371/journal.pone.0186721] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 10/08/2017] [Indexed: 11/19/2022] Open
Abstract
Pigs have experienced long-term selections, resulting in dramatic phenotypic changes. Structural variants (SVs) are reported to exert extensive impacts on phenotypic changes. We built a high resolution and informative SV map based on high-depth sequencing data from 66 Chinese domestic and wild pigs. We inferred the SV formation mechanisms in the pig genome and used SVs as materials to perform a population-level analysis. We detected the selection signals on chromosome X for northern Chinese domestic pigs, as well as the differentiated loci across the whole genome. Analysis showed that these loci differ between southern and northern Chinese domestic pigs. Our results based on SVs provide new insights into genetic differences in Chinese pigs.
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Affiliation(s)
- Ruifei Yang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Suyun Fang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Jing Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Chunyuan Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Ran Zhang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
| | - Di Liu
- Institute of Animal Industry, Heilongjiang Academy of Agricultural Sciences, Harbin, P. R. China
| | - Yiqiang Zhao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
- * E-mail: (XH); (YZ)
| | - Xiaoxiang Hu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
- National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, P. R. China
- * E-mail: (XH); (YZ)
| | - Ning Li
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China
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25
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Genome-wide genetic structure and differentially selected regions among Landrace, Erhualian, and Meishan pigs using specific-locus amplified fragment sequencing. Sci Rep 2017; 7:10063. [PMID: 28855565 PMCID: PMC5577042 DOI: 10.1038/s41598-017-09969-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 08/02/2017] [Indexed: 12/22/2022] Open
Abstract
As typical Chinese indigenous pig breeds, Erhualian and Meishan have been widely used to produce new strain or breed in the world. However, the genetic basis of characteristics of these pig breeds is still limited. Moreover, considering cost and output of sequencing, it is necessary to further develop cost-effective method for pig genome screening. To contribute on this issue, we developed a SLAF-seq (specific-locus amplified fragment sequencing) method for pigs and applied it to analyze the genetic difference among Landrace, Erhualian, and Meishan pigs. A total of 453.75 million reads were produced by SLAF-seq. After quality-control, 165,670 SNPs (single nucleotide polymorphisms) were used in further analysis. The results showed that Landrace had distinct genetic relationship compared to Erhualian (FST = 0.5480) and Meishan (FST = 0.5800), respectively, while Erhualian and Meishan held the relatively close genetic relationship (FST = 0.2335). Furthermore, a genome-wide scanning revealed 268 differentially selected regions (DSRs) with 855 genes and 256 DSRs with 347 genes between Landrace and the two Chinese indigenous pig breeds and between Erhualian and Meishan, respectively. This study provides a new cost-effective method for pig genome study and might contribute to a better understanding on the formation mechanism of genetic difference among pigs with different geographical origins.
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26
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Upadhyay M, da Silva VH, Megens HJ, Visker MHPW, Ajmone-Marsan P, Bâlteanu VA, Dunner S, Garcia JF, Ginja C, Kantanen J, Groenen MAM, Crooijmans RPMA. Distribution and Functionality of Copy Number Variation across European Cattle Populations. Front Genet 2017; 8:108. [PMID: 28878807 PMCID: PMC5572341 DOI: 10.3389/fgene.2017.00108] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 08/02/2017] [Indexed: 12/27/2022] Open
Abstract
Copy number variation (CNV), which is characterized by large-scale losses or gains of DNA fragments, contributes significantly to genetic and phenotypic variation. Assessing CNV across different European cattle populations might reveal genetic changes responsible for phenotypic differences, which have accumulated throughout the domestication history of cattle as consequences of evolutionary forces that act upon them. To explore pattern of CNVs across European cattle, we genotyped 149 individuals, that represent different European regions, using the Illumina Bovine HD Genotyping array. A total of 9,944 autosomal CNVs were identified in 149 samples using a Hidden Markov Model (HMM) as employed in PennCNV. Animals originating from several breeds of British Isles, and Balkan and Italian regions, on average, displayed higher abundance of CNV counts than Dutch or Alpine animals. A total of 923 CNV regions (CNVRs) were identified by aggregating CNVs overlapping in at least two animals. The hierarchical clustering of CNVRs indicated low differentiation and sharing of high-frequency CNVRs between European cattle populations. Various CNVRs identified in the present study overlapped with olfactory receptor genes and genes related to immune system. In addition, we also detected a CNV overlapping the Kit gene in English longhorn cattle which has previously been associated with color-sidedness. To conclude, we provide a comprehensive overview of CNV distribution in genome of European cattle. Our results indicate an important role of purifying selection and genomic drift in shaping CNV diversity that exists between different European cattle populations.
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Affiliation(s)
- Maulik Upadhyay
- Animal Breeding and Genomics, Wageningen University and ResearchWageningen, Netherlands.,Department of Animal Breeding and Genetics, Swedish University of Agricultural SciencesUppsala, Sweden
| | - Vinicus H da Silva
- Animal Breeding and Genomics, Wageningen University and ResearchWageningen, Netherlands.,Department of Animal Breeding and Genetics, Swedish University of Agricultural SciencesUppsala, Sweden
| | - Hendrik-Jan Megens
- Animal Breeding and Genomics, Wageningen University and ResearchWageningen, Netherlands
| | - Marleen H P W Visker
- Animal Breeding and Genomics, Wageningen University and ResearchWageningen, Netherlands
| | - Paolo Ajmone-Marsan
- Institute of Zootechnics and Nutrigenomics and Proteomics Research Center, Università Cattolica del Sacro CuorePiacenza, Italy
| | - Valentin A Bâlteanu
- Institute of Life Sciences, Faculty of Animal Science and Biotechnologies, University of Agricultural Sciences and Veterinary Medicine of Cluj-NapocaCluj-Napoca, Romania
| | - Susana Dunner
- Department of Animal Production, Veterinary Faculty, Universidad Complutense de MadridMadrid, Spain
| | - Jose F Garcia
- Departamento de Apoio, Produção e Saúde Animal, Faculdade de Medicina Veterinária de Araçatuba, Universidade Estadual PaulistaAraçatuba, Brazil.,IAEA Collaborating Centre on Animal Genomics and BioinformaticsAraçatuba, Brazil
| | - Catarina Ginja
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-InBIO), Universidade do PortoVairao, Portugal
| | - Juha Kantanen
- Green Technology, Natural Resources Institute FinlandJokioinen, Finland.,Department of Environmental and Biological Sciences, University of Eastern FinlandKuopio, Finland
| | - Martien A M Groenen
- Animal Breeding and Genomics, Wageningen University and ResearchWageningen, Netherlands
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27
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Gross JB, Weagley J, Stahl BA, Ma L, Espinasa L, McGaugh SE. A local duplication of the Melanocortin receptor 1 locus in Astyanax. Genome 2017; 61:254-265. [PMID: 28738163 DOI: 10.1139/gen-2017-0049] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
In this study, we report evidence of a novel duplication of Melanocortin receptor 1 (Mc1r) in the cavefish genome. This locus was discovered following the observation of excessive allelic diversity in a ∼820 bp fragment of Mc1r amplified via degenerate PCR from a natural population of Astyanax aeneus fish from Guerrero, Mexico. The cavefish genome reveals the presence of two closely related Mc1r open reading frames separated by a 1.46 kb intergenic region. One open reading frame corresponds to the previously reported Mc1r receptor, and the other open reading frame (duplicate copy) is 975 bp in length, encoding a receptor of 325 amino acids. Sequence similarity analyses position both copies in the syntenic region of the single Mc1r locus in 16 representative craniate genomes spanning bony fish (including Astyanax) to mammals, suggesting we discovered tandem duplicates of this important gene. The two Mc1r copies share ∼89% sequence similarity and, within Astyanax, are more similar to one another compared to other melanocortin family members. Future studies will inform the precise functional significance of the duplicated Mc1r locus and if this novel copy number variant may have adaptive significance for the Astyanax lineage.
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Affiliation(s)
- Joshua B Gross
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - James Weagley
- b Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108, USA
| | - Bethany A Stahl
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Li Ma
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Luis Espinasa
- c School of Science, Marist College, Poughkeepsie, NY 12601, USA
| | - Suzanne E McGaugh
- b Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108, USA
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28
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Ma Q, Liu X, Pan J, Ma L, Ma Y, He X, Zhao Q, Pu Y, Li Y, Jiang L. Genome-wide detection of copy number variation in Chinese indigenous sheep using an ovine high-density 600 K SNP array. Sci Rep 2017; 7:912. [PMID: 28424525 PMCID: PMC5430420 DOI: 10.1038/s41598-017-00847-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 03/16/2017] [Indexed: 12/21/2022] Open
Abstract
Copy number variants (CNVs) represent a form of genomic structural variation underlying phenotypic diversity. In this study, we used the Illumina Ovine SNP 600 K BeadChip array for genome-wide detection of CNVs in 48 Chinese Tan sheep. A total of 1,296 CNV regions (CNVRs), ranging from 1.2 kb to 2.3 Mb in length, were detected, representing approximately 4.7% of the entire ovine genome (Oar_v3.1). We combined our findings with five existing CNVR reports to generate a composite genome-wide dataset of 4,321 CNVRs, which revealed 556 (43%) novel CNVRs. Subsequently, ten novel CNVRs were randomly chosen for further quantitative real-time PCR (qPCR) confirmation, and eight were successfully validated. Gene functional enrichment revealed that these CNVRs cluster into Gene Ontology (GO) categories of homeobox and embryonic skeletal system morphogenesis. One CNVR overlapping with the homeobox transcription factor DLX3 and previously shown to be associated with curly hair in sheep was identified as the candidate CNV for the special curly fleece phenotype in Tan sheep. We constructed a Chinese indigenous sheep genomic CNV map based on the Illumina Ovine SNP 600 K BeadChip array, providing an important addition to published sheep CNVs, which will be helpful for future investigations of the genomic structural variations underlying traits of interest in sheep.
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Affiliation(s)
- Qing Ma
- Institute of Animal Science, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, Ningxia, 75002, China
| | - Xuexue Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Jianfei Pan
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Lina Ma
- Institute of Animal Science, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, Ningxia, 75002, China
| | - Yuehui Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Xiaohong He
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Qianjun Zhao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Yabin Pu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China
| | - Yingkang Li
- Institute of Animal Science, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, Ningxia, 75002, China.
| | - Lin Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China. .,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan West Road, Beijing, 100193, China.
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29
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Polymorphisms in MC1R and ASIP genes and their association with coat color phenotypes in llamas (Lama glama). Small Rumin Res 2016. [DOI: 10.1016/j.smallrumres.2016.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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30
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Ponsuksili S, Reyer H, Trakooljul N, Murani E, Wimmers K. Single- and Bayesian Multi-Marker Genome-Wide Association for Haematological Parameters in Pigs. PLoS One 2016; 11:e0159212. [PMID: 27434032 PMCID: PMC4951017 DOI: 10.1371/journal.pone.0159212] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Accepted: 06/28/2016] [Indexed: 12/15/2022] Open
Abstract
Haematological traits are important traits that show associations with immune and metabolic status, as well as diseases in humans and animals. Mapping genome regions that affect the blood cell traits can contribute to the identification of genomic features useable as biomarkers for immune, disease and metabolic status. A genome-wide association study (GWAS) was conducted using PorcineSNP60 BeadChips. Single-marker and Bayesian multi-marker approaches were integrated to identify genomic regions and corresponding genes overlapping for both methods. GWAS was performed for haematological traits of 591 German Landrace pig. Heritability estimates for haematological traits were medium to high. In total 252 single SNPs associated with 12 haematological traits were identified (NegLog10 of p-value > 5). The Bayesian multi-marker approach revealed 102 QTL regions across the genome, indicated by 1-Mb windows with contribution to additive genetic variance above 0.5%. The integration of both methods resulted in 24 overlapping QTL regions. This study identified overlapping QTL regions from single- and multi-marker approaches for haematological traits. Identifying candidate genes that affect blood cell traits provides the first step towards the understanding of the molecular basis of haematological phenotypes.
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Affiliation(s)
- Siriluck Ponsuksili
- Research Unit ‘Functional Genome Analyses’, Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196, Dummerstorf, Germany
| | - Henry Reyer
- Research Unit ‘Genomics’, Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196, Dummerstorf, Germany
| | - Nares Trakooljul
- Research Unit ‘Genomics’, Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196, Dummerstorf, Germany
| | - Eduard Murani
- Research Unit ‘Genomics’, Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196, Dummerstorf, Germany
| | - Klaus Wimmers
- Research Unit ‘Genomics’, Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, D-18196, Dummerstorf, Germany
- * E-mail:
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31
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Zhou LS, Li J, Yang J, Liu CL, Xie XH, He YN, Liu XX, Xin WS, Zhang WC, Ren J, Ma JW, Huang LS. Genome-wide mapping of copy number variations in commercial hybrid pigs using a high-density SNP genotyping array. RUSS J GENET+ 2016. [DOI: 10.1134/s1022795415120145] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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32
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Fontanesi L, Scotti E, Gallo M, Nanni Costa L, Dall'Olio S. Authentication of “mono-breed” pork products: Identification of a coat colour gene marker in Cinta Senese pigs useful to this purpose. Livest Sci 2016. [DOI: 10.1016/j.livsci.2015.12.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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33
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Forsberg SKG, Andreatta ME, Huang XY, Danku J, Salt DE, Carlborg Ö. The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance. PLoS Genet 2015; 11:e1005648. [PMID: 26599497 PMCID: PMC4657900 DOI: 10.1371/journal.pgen.1005648] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 10/14/2015] [Indexed: 12/17/2022] Open
Abstract
Genome-wide association (GWA) analyses have generally been used to detect individual loci contributing to the phenotypic diversity in a population by the effects of these loci on the trait mean. More rarely, loci have also been detected based on variance differences between genotypes. Several hypotheses have been proposed to explain the possible genetic mechanisms leading to such variance signals. However, little is known about what causes these signals, or whether this genetic variance-heterogeneity reflects mechanisms of importance in natural populations. Previously, we identified a variance-heterogeneity GWA (vGWA) signal for leaf molybdenum concentrations in Arabidopsis thaliana. Here, fine-mapping of this association reveals that the vGWA emerges from the effects of three independent genetic polymorphisms that all are in strong LD with the markers displaying the genetic variance-heterogeneity. By revealing the genetic architecture underlying this vGWA signal, we uncovered the molecular source of a significant amount of hidden additive genetic variation or “missing heritability”. Two of the three polymorphisms underlying the genetic variance-heterogeneity are promoter variants for Molybdate transporter 1 (MOT1), and the third a variant located ~25 kb downstream of this gene. A fourth independent association was also detected ~600 kb upstream of MOT1. Use of a T-DNA knockout allele highlights Copper Transporter 6; COPT6 (AT2G26975) as a strong candidate gene for this association. Our results show that an extended LD across a complex locus including multiple functional alleles can lead to a variance-heterogeneity between genotypes in natural populations. Further, they provide novel insights into the genetic regulation of ion homeostasis in A. thaliana, and empirically confirm that variance-heterogeneity based GWA methods are a valuable tool to detect novel associations of biological importance in natural populations. Most biological traits vary in natural populations, and understanding the genetic basis of this variation remains an important challenge. Genome-wide association (GWA) studies have emerged as a powerful tool to address this challenge by dissecting the genetic architecture of trait variation into the contribution of individual genes. This contribution has traditionally been measured as the difference in the phenotypic means between groups of individuals with alternative genotypes at one, or multiple loci. However, instead of altering the trait mean, certain loci alter the variability of the trait. Here, we describe the genetic dissection of one such variance-controlling locus that drives variation in leaf molybdenum concentrations amongst natural accessions of Arabidopsis thaliana. The variance-controlling locus was found to result from the contributions of multiple alleles at multiple loci that are closely linked on the chromosome and is a major contributor to the “missing heritability” for this trait identified in previous studies. This illustrates that multi-allelic genetic architectures can hide large amounts of additive genetic variation, and that it is possible to uncover this hidden variation using the appropriate experimental designs and statistical methods described here.
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Affiliation(s)
- Simon K. G. Forsberg
- Department of Clinical Sciences, Division of Computational Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Matthew E. Andreatta
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Xin-Yuan Huang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - John Danku
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - David E. Salt
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Örjan Carlborg
- Department of Clinical Sciences, Division of Computational Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- * E-mail:
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34
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Boocock J, Chagné D, Merriman TR, Black MA. The distribution and impact of common copy-number variation in the genome of the domesticated apple, Malus x domestica Borkh. BMC Genomics 2015; 16:848. [PMID: 26493398 PMCID: PMC4618995 DOI: 10.1186/s12864-015-2096-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 10/15/2015] [Indexed: 11/14/2022] Open
Abstract
Background Copy number variation (CNV) is a common feature of eukaryotic genomes, and a growing body of evidence suggests that genes affected by CNV are enriched in processes that are associated with environmental responses. Here we use next generation sequence (NGS) data to detect copy-number variable regions (CNVRs) within the Malus x domestica genome, as well as to examine their distribution and impact. Methods CNVRs were detected using NGS data derived from 30 accessions of M. x domestica analyzed using the read-depth method, as implemented in the CNVrd2 software. To improve the reliability of our results, we developed a quality control and analysis procedure that involved checking for organelle DNA, not repeat masking, and the determination of CNVR identity using a permutation testing procedure. Results Overall, we identified 876 CNVRs, which spanned 3.5 % of the apple genome. To verify that detected CNVRs were not artifacts, we analyzed the B- allele-frequencies (BAF) within a single nucleotide polymorphism (SNP) array dataset derived from a screening of 185 individual apple accessions and found the CNVRs were enriched for SNPs having aberrant BAFs (P < 1e-13, Fisher’s Exact test). Putative CNVRs overlapped 845 gene models and were enriched for resistance (R) gene models (P < 1e-22, Fisher’s exact test). Of note was a cluster of resistance gene models on chromosome 2 near a region containing multiple major gene loci conferring resistance to apple scab. Conclusion We present the first analysis and catalogue of CNVRs in the M. x domestica genome. The enrichment of the CNVRs with R gene models and their overlap with gene loci of agricultural significance draw attention to a form of unexplored genetic variation in apple. This research will underpin further investigation of the role that CNV plays within the apple genome. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2096-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- James Boocock
- Department of Biochemistry, University of Otago, Dunedin, New Zealand. .,The Virtual Institute of Statistical Genetics (VISG), Rotorua, New Zealand.
| | - David Chagné
- The Virtual Institute of Statistical Genetics (VISG), Rotorua, New Zealand.,The New Zealand Institute for Plant & Food Research Ltd, Palmerston North, New Zealand
| | - Tony R Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.,The Virtual Institute of Statistical Genetics (VISG), Rotorua, New Zealand
| | - Michael A Black
- Department of Biochemistry, University of Otago, Dunedin, New Zealand. .,The Virtual Institute of Statistical Genetics (VISG), Rotorua, New Zealand.
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35
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Abstract
Domestic animals are unique models for biomedical research due to their long history (thousands of years) of strong phenotypic selection. This process has enriched for novel mutations that have contributed to phenotype evolution in domestic animals. The characterization of such mutations provides insights in gene function and biological mechanisms. This review summarizes genetic dissection of about 50 genetic variants affecting pigmentation, behaviour, metabolic regulation, and the pattern of locomotion. The variants are controlled by mutations in about 30 different genes, and for 10 of these our group was the first to report an association between the gene and a phenotype. Almost half of the reported mutations occur in non-coding sequences, suggesting that this is the most common type of polymorphism underlying phenotypic variation since this is a biased list where the proportion of coding mutations are inflated as they are easier to find. The review documents that structural changes (duplications, deletions, and inversions) have contributed significantly to the evolution of phenotypic diversity in domestic animals. Finally, we describe five examples of evolution of alleles, which means that alleles have evolved by the accumulation of several consecutive mutations affecting the function of the same gene.
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Affiliation(s)
- Leif Andersson
- Correspondence: Professor Leif Andersson, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
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Improved Detection and Characterization of Copy Number Variations Among Diverse Pig Breeds by Array CGH. G3-GENES GENOMES GENETICS 2015; 5:1253-61. [PMID: 25908567 PMCID: PMC4478553 DOI: 10.1534/g3.115.018473] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
As a major component of genomic variation, copy number variations (CNVs) are considered as promising markers for some phenotypic and economically important traits in domestic animals. Using a custom-designed 1M array CGH (aCGH), we performed CNV discovery in 12 pig samples from one Asian wild boar population, six Chinese indigenous breeds, and two European commercial breeds. In total, we identified 758 CNV regions (CNVRs), covering 47.43 Mb of the pig genome sequence. Of the total porcine genes, 1295 genes were completely or partially overlapped with the identified CNVRs, which enriched in the terms related to sensory perception of the environment, neurodevelopmental processes, response to external stimuli, and immunity. Further probing the potential functions of these genes, we also found a suite of genes related important traits, which make them a promising resource for exploring the genetic basis of phenotype differences among diverse pig breeds. Compared with previous relevant studies, the current study highlights that different platforms can complement each other, and the combined implementation of different platforms is beneficial to achieve the most comprehensive CNV calls. CNVs detected in diverse populations herein are essentially complementary to the CNV map in the pig genome, which would be helpful for understanding the pig genome variants and investigating the associations between various phenotypes and CNVs.
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Zhu J, Chen C, Yang B, Guo Y, Ai H, Ren J, Peng Z, Tu Z, Yang X, Meng Q, Friend S, Huang L. A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits. BMC Genomics 2015; 16:88. [PMID: 25765547 PMCID: PMC4336704 DOI: 10.1186/s12864-015-1240-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2014] [Accepted: 01/13/2015] [Indexed: 12/20/2022] Open
Abstract
Background The pig, which shares greater similarities with human than with mouse, is important for agriculture and for studying human diseases. However, similarities in the genetic architecture and molecular regulations underlying phenotypic variations in humans and swine have not been systematically assessed. Results We systematically surveyed ~500 F2 pigs genetically and phenotypically. By comparing candidates for anemia traits identified in swine genome-wide SNP association and human genome-wide association studies (GWAS), we showed that both sets of candidates are related to the biological process “cellular lipid metabolism” in liver. Human height is a complex heritable trait; by integrating genome-wide SNP data and human adipose Bayesian causal network, which closely represents bone transcriptional regulations, we identified PLAG1 as a causal gene for limb bone length. This finding is consistent with GWAS findings for human height and supports the common genetic architecture between swine and humans. By leveraging a human protein-protein interaction network, we identified two putative candidate causal genes TGFB3 and DAB2IP and the known regulators MESP1 and MESP2 as responsible for the variation in rib number and identified the potential underlying molecular mechanisms. In mice, knockout of Tgfb3 and Tgfb2 together decreases rib number. Conclusion Our findings show that integrative network analyses reveal causal regulators underlying the genetic association of complex traits in swine and that these causal regulators have similar effects in humans. Thus, swine are a potentially good animal model for studying some complex human traits that are not under intense selection. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1240-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jun Zhu
- Jiangxi Agricultural University, Nanchang, Jiangxi, China. .,Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Congying Chen
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
| | - Bin Yang
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
| | - Yuanmei Guo
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
| | - Huashui Ai
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
| | - Jun Ren
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
| | | | - Zhidong Tu
- Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Xia Yang
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA, USA.
| | - Qingying Meng
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA, USA.
| | | | - Lusheng Huang
- Jiangxi Agricultural University, Nanchang, Jiangxi, China.
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Johnson JL, Kozysa A, Kharlamova AV, Gulevich RG, Perelman PL, Fong HWF, Vladimirova AV, Oskina IN, Trut LN, Kukekova AV. Platinum coat color in red fox (Vulpes vulpes) is caused by a mutation in an autosomal copy of KIT. Anim Genet 2015; 46:190-9. [PMID: 25662789 DOI: 10.1111/age.12270] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2014] [Indexed: 12/30/2022]
Abstract
The red fox (Vulpes vulpes) demonstrates a variety of coat colors including platinum, a common phenotype maintained in farm-bred fox populations. Foxes heterozygous for the platinum allele have a light silver coat and extensive white spotting, whereas homozygosity is embryonic lethal. Two KIT transcripts were identified in skin cDNA from platinum foxes. The long transcript was identical to the KIT transcript of silver foxes, whereas the short transcript, which lacks exon 17, was specific to platinum. The KIT gene has several copies in the fox genome: an autosomal copy on chromosome 2 and additional copies on the B chromosomes. To identify the platinum-specific KIT sequence, the genomes of one platinum and one silver fox were sequenced. A single nucleotide polymorphism (SNP) was identified at the first nucleotide of KIT intron 17 in the platinum fox. In platinum foxes, the A allele of the SNP disrupts the donor splice site and causes exon 17, which is part of a segment that encodes a conserved tyrosine kinase domain, to be skipped. Complete cosegregation of the A allele with the platinum phenotype was confirmed by linkage mapping (LOD 25.59). All genotyped farm-bred platinum foxes from Russia and the US were heterozygous for the SNP (A/G), whereas foxes with different coat colors were homozygous for the G allele. Identification of the platinum mutation suggests that other fox white-spotting phenotypes, which are allelic to platinum, would also be caused by mutations in the KIT gene.
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Affiliation(s)
- J L Johnson
- Animal Sciences Department, College of ACES, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
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Mészáros G, Petautschnig E, Schwarzenbacher H, Sölkner J. Genomic regions influencing coat color saturation and facial markings in Fleckvieh cattle. Anim Genet 2014; 46:65-8. [PMID: 25515556 DOI: 10.1111/age.12249] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2014] [Indexed: 02/01/2023]
Abstract
Genomic regions associated with coat color and pigmented areas of the head were identified for Fleckvieh (dual-purpose Simmental), a red-spotted and white-headed cattle breed. Coat color was measured with a chromameter, implementing the CIELAB color space and resulting in numerical representation of lightness, color intensity, red/green and blue/yellow color components, rather than subjective classification. Single marker regression analyses with fixed effects of the sex and barn were applied, and significant regions were determined with the local false discovery rate methodology. The PMEL and ERBB3 genes on chromosome 5 were in the most significant region for the color measurements. In addition to the blue/yellow color component and color intensity, the AP3B2 gene on chromosome 21 was identified. Its function was confirmed for similar traits in a range of model species. The KIT gene on chromosome 6 was found to be strongly associated with the inhibition of circum-ocular pigmentation and pigmented spots on the cheek.
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Affiliation(s)
- Gábor Mészáros
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, A-1180, Vienna, Austria
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40
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David VA, Menotti-Raymond M, Wallace AC, Roelke M, Kehler J, Leighty R, Eizirik E, Hannah SS, Nelson G, Schäffer AA, Connelly CJ, O'Brien SJ, Ryugo DK. Endogenous retrovirus insertion in the KIT oncogene determines white and white spotting in domestic cats. G3 (BETHESDA, MD.) 2014; 4:1881-91. [PMID: 25085922 PMCID: PMC4199695 DOI: 10.1534/g3.114.013425] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2014] [Accepted: 07/26/2014] [Indexed: 01/06/2023]
Abstract
The Dominant White locus (W) in the domestic cat demonstrates pleiotropic effects exhibiting complete penetrance for absence of coat pigmentation and incomplete penetrance for deafness and iris hypopigmentation. We performed linkage analysis using a pedigree segregating White to identify KIT (Chr. B1) as the feline W locus. Segregation and sequence analysis of the KIT gene in two pedigrees (P1 and P2) revealed the remarkable retrotransposition and evolution of a feline endogenous retrovirus (FERV1) as responsible for two distinct phenotypes of the W locus, Dominant White, and white spotting. A full-length (7125 bp) FERV1 element is associated with white spotting, whereas a FERV1 long terminal repeat (LTR) is associated with all Dominant White individuals. For purposes of statistical analysis, the alternatives of wild-type sequence, FERV1 element, and LTR-only define a triallelic marker. Taking into account pedigree relationships, deafness is genetically linked and associated with this marker; estimated P values for association are in the range of 0.007 to 0.10. The retrotransposition interrupts a DNAase I hypersensitive site in KIT intron 1 that is highly conserved across mammals and was previously demonstrated to regulate temporal and tissue-specific expression of KIT in murine hematopoietic and melanocytic cells. A large-population genetic survey of cats (n = 270), representing 30 cat breeds, supports our findings and demonstrates statistical significance of the FERV1 LTR and full-length element with Dominant White/blue iris (P < 0.0001) and white spotting (P < 0.0001), respectively.
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Affiliation(s)
- Victor A David
- Laboratory of Genomic Diversity, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702
| | - Marilyn Menotti-Raymond
- Laboratory of Genomic Diversity, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702
| | - Andrea Coots Wallace
- Laboratory of Genomic Diversity, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702
| | - Melody Roelke
- Leidos Biomedical Research Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702 Labooratory Animal Sciences Program (LASP) Bethesda Leidos Biomedical Research, Bethesda, Maryland 20892-2471
| | - James Kehler
- Laboratory of Cell and Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20814
| | - Robert Leighty
- Data Management Services, Inc., National Cancer Institute-Frederick, Frederick, Maryland 21702
| | - Eduardo Eizirik
- Faculdade de Biociências, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul 90619-900, Brazil Instituto Pró-Carnívoros, Atibaia, Sao Paulo 12945-010, Brazil
| | | | - George Nelson
- BSP-CCR Genetics Core, Frederick National Laboratory, Frederick, Maryland 21702
| | - Alejandro A Schäffer
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, Maryland 20894
| | | | - Stephen J O'Brien
- Laboratory of Genomic Diversity, Center for Cancer Research, National Cancer Institute, Frederick, Maryland 21702 Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - David K Ryugo
- Department of Otolaryngology, Head and Neck Surgery, Center for Hearing Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205 Garvan Institute of Medical Research, Sydney, New South Wales, Australia
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Jiang J, Wang J, Wang H, Zhang Y, Kang H, Feng X, Wang J, Yin Z, Bao W, Zhang Q, Liu JF. Global copy number analyses by next generation sequencing provide insight into pig genome variation. BMC Genomics 2014; 15:593. [PMID: 25023178 PMCID: PMC4111851 DOI: 10.1186/1471-2164-15-593] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Accepted: 07/04/2014] [Indexed: 01/10/2023] Open
Abstract
Background Copy number variations (CNVs) confer significant effects on genetic innovation and phenotypic variation. Previous CNV studies in swine seldom focused on in-depth characterization of global CNVs. Results Using whole-genome assembly comparison (WGAC) and whole-genome shotgun sequence detection (WSSD) approaches by next generation sequencing (NGS), we probed formation signatures of both segmental duplications (SDs) and individualized CNVs in an integrated fashion, building the finest resolution CNV and SD maps of pigs so far. We obtained copy number estimates of all protein-coding genes with copy number variation carried by individuals, and further confirmed two genes with high copy numbers in Meishan pigs through an enlarged population. We determined genome-wide CNV hotspots, which were significantly enriched in SD regions, suggesting evolution of CNV hotspots may be affected by ancestral SDs. Through systematically enrichment analyses based on simulations and bioinformatics analyses, we revealed CNV-related genes undergo a different selective constraint from those CNV-unrelated regions, and CNVs may be associated with or affect pig health and production performance under recent selection. Conclusions Our studies lay out one way for characterization of CNVs in the pig genome, provide insight into the pig genome variation and prompt CNV mechanisms studies when using pigs as biomedical models for human diseases. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-593) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Jian-Feng Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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42
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Fontanesi L, Vargiolu M, Scotti E, Latorre R, Faussone Pellegrini MS, Mazzoni M, Asti M, Chiocchetti R, Romeo G, Clavenzani P, De Giorgio R. The KIT gene is associated with the english spotting coat color locus and congenital megacolon in Checkered Giant rabbits (Oryctolagus cuniculus). PLoS One 2014; 9:e93750. [PMID: 24736498 PMCID: PMC3988019 DOI: 10.1371/journal.pone.0093750] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 03/06/2014] [Indexed: 11/19/2022] Open
Abstract
The English spotting coat color locus in rabbits, also known as Dominant white spotting locus, is determined by an incompletely dominant allele (En). Rabbits homozygous for the recessive wild-type allele (en/en) are self-colored, heterozygous En/en rabbits are normally spotted, and homozygous En/En animals are almost completely white. Compared to vital en/en and En/en rabbits, En/En animals are subvital because of a dilated (“mega”) cecum and ascending colon. In this study, we investigated the role of the KIT gene as a candidate for the English spotting locus in Checkered Giant rabbits and characterized the abnormalities affecting enteric neurons and c-kit positive interstitial cells of Cajal (ICC) in the megacolon of En/En rabbits. Twenty-one litters were obtained by crossing three Checkered Giant bucks (En/en) with nine Checkered Giant (En/en) and two en/en does, producing a total of 138 F1 and backcrossed rabbits. Resequencing all coding exons and portions of non-coding regions of the KIT gene in 28 rabbits of different breeds identified 98 polymorphisms. A single nucleotide polymorphism genotyped in all F1 families showed complete cosegregation with the English spotting coat color phenotype (θ = 0.00 LOD = 75.56). KIT gene expression in cecum and colon specimens of En/En (pathological) rabbits was 5–10% of that of en/en (control) rabbits. En/En rabbits showed reduced and altered c-kit immunolabelled ICC compared to en/en controls. Morphometric data on whole mounts of the ascending colon showed a significant decrease of HuC/D (P<0.05) and substance P (P<0.01) immunoreactive neurons in En/En vs. en/en. Electron microscopy analysis showed neuronal and ICC abnormalities in En/En tissues. The En/En rabbit model shows neuro-ICC changes reminiscent of the human non-aganglionic megacolon. This rabbit model may provide a better understanding of the molecular abnormalities underlying conditions associated with non-aganglionic megacolon.
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Affiliation(s)
- Luca Fontanesi
- Department of Agricultural and Food Sciences, Division of Animal Sciences, Laboratory of Livestock Genomics, University of Bologna, Bologna, Italy
- Centre for Genome Biology, University of Bologna, Bologna, Italy
- * E-mail: (LF); (RDG)
| | - Manuela Vargiolu
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research, University of Bologna, Bologna, Italy
| | - Emilio Scotti
- Department of Agricultural and Food Sciences, Division of Animal Sciences, Laboratory of Livestock Genomics, University of Bologna, Bologna, Italy
| | - Rocco Latorre
- Department of Veterinary Medical Science, University of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences, Centro Unificato di Ricerca Biomedica Applicata (C.R.B.A.), St. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | | | - Maurizio Mazzoni
- Department of Veterinary Medical Science, University of Bologna, Bologna, Italy
| | - Martina Asti
- Department of Veterinary Medical Science, University of Bologna, Bologna, Italy
| | - Roberto Chiocchetti
- Department of Veterinary Medical Science, University of Bologna, Bologna, Italy
| | - Giovanni Romeo
- Department of Medical and Surgical Sciences, Medical Genetics Unit, St. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Paolo Clavenzani
- Department of Veterinary Medical Science, University of Bologna, Bologna, Italy
| | - Roberto De Giorgio
- Department of Medical and Surgical Sciences, Centro Unificato di Ricerca Biomedica Applicata (C.R.B.A.), St. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
- * E-mail: (LF); (RDG)
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43
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Huang Y, Bates RO, Ernst CW, Fix JS, Steibel JP. Estimation of U.S. Yorkshire breed composition using genomic data
1. J Anim Sci 2014; 92:1395-404. [DOI: 10.2527/jas.2013-6907] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Y. Huang
- Department of Animal Science, Michigan State University, East Lansing 48824
| | - R. O. Bates
- Department of Animal Science, Michigan State University, East Lansing 48824
| | - C. W. Ernst
- Department of Animal Science, Michigan State University, East Lansing 48824
| | - J. S. Fix
- Smithfield Premium Genetics, Roanoke Rapids, NC 27870
| | - J. P. Steibel
- Department of Animal Science, Michigan State University, East Lansing 48824
- Department of Fisheries and Wildlife, Michigan State University, East Lansing 48824
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Zhao Q, Han MJ, Sun W, Zhang Z. Copy number variations among silkworms. BMC Genomics 2014; 15:251. [PMID: 24684762 PMCID: PMC3997817 DOI: 10.1186/1471-2164-15-251] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Accepted: 03/25/2014] [Indexed: 11/10/2022] Open
Abstract
Background Copy number variations (CNVs), which are important source for genetic and phenotypic variation, have been shown to be associated with disease as well as important QTLs, especially in domesticated animals. However, little is known about the CNVs in silkworm. Results In this study, we have constructed the first CNVs map based on genome-wide analysis of CNVs in domesticated silkworm. Using next-generation sequencing as well as quantitative PCR (qPCR), we identified ~319 CNVs in total and almost half of them (~ 49%) were distributed on uncharacterized chromosome. The CNVs covered 10.8 Mb, which is about 2.3% of the entire silkworm genome. Furthermore, approximately 61% of CNVs directly overlapped with SDs in silkworm. The genes in CNVs are mainly related to reproduction, immunity, detoxification and signal recognition, which is consistent with the observations in mammals. Conclusions An initial CNVs map for silkworm has been described in this study. And this map provides new information for genetic variations in silkworm. Furthermore, the silkworm CNVs may play important roles in reproduction, immunity, detoxification and signal recognition. This study provided insight into the evolution of the silkworm genome and an invaluable resource for insect genomics research.
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Affiliation(s)
| | | | | | - Ze Zhang
- Laboratory of Evolutionary and Functional Genomics, School of Life Sciences, Chongqing University, Chongqing 400044, China.
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45
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A Dysfunctional Sense of Smell: The Irreversibility of Olfactory Evolution in Free-Living Pigs. Evol Biol 2013. [DOI: 10.1007/s11692-013-9262-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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46
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Nelson RM, Pettersson ME, Carlborg Ö. A century after Fisher: time for a new paradigm in quantitative genetics. Trends Genet 2013; 29:669-76. [PMID: 24161664 DOI: 10.1016/j.tig.2013.09.006] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Revised: 09/17/2013] [Accepted: 09/19/2013] [Indexed: 10/26/2022]
Abstract
Quantitative genetics traces its roots back through more than a century of theory, largely formed in the absence of directly observable genotype data, and has remained essentially unchanged for decades. By contrast, molecular genetics arose from direct observations and is currently undergoing rapid changes, making the amount of available data ever greater. Thus, the two disciplines are disparate both in their origins and their current states, yet they address the same fundamental question: how does the genotype affect the phenotype? The rapidly accumulating genomic data necessitate sophisticated analysis, but many of the current tools are adaptations of methods designed during the early days of quantitative genetics. We argue here that the present analysis paradigm in quantitative genetics is at its limits in regards to unraveling complex traits and it is necessary to re-evaluate the direction that genetic research is taking for the field to realize its full potential.
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Affiliation(s)
- Ronald M Nelson
- Swedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Box 7078, SE-750 07 Uppsala, Sweden.
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47
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Paudel Y, Madsen O, Megens HJ, Frantz LAF, Bosse M, Bastiaansen JWM, Crooijmans RPMA, Groenen MAM. Evolutionary dynamics of copy number variation in pig genomes in the context of adaptation and domestication. BMC Genomics 2013; 14:449. [PMID: 23829399 PMCID: PMC3716681 DOI: 10.1186/1471-2164-14-449] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Accepted: 07/01/2013] [Indexed: 12/23/2022] Open
Abstract
Background Copy number variable regions (CNVRs) can result in drastic phenotypic differences and may therefore be subject to selection during domestication. Studying copy number variation in relation to domestication is highly relevant in pigs because of their very rich natural and domestication history that resulted in many different phenotypes. To investigate the evolutionary dynamic of CNVRs, we applied read depth method on next generation sequence data from 16 individuals, comprising wild boars and domestic pigs from Europe and Asia. Results We identified 3,118 CNVRs with an average size of 13 kilobases comprising a total of 39.2 megabases of the pig genome and 545 overlapping genes. Functional analyses revealed that CNVRs are enriched with genes related to sensory perception, neurological process and response to stimulus, suggesting their contribution to adaptation in the wild and behavioral changes during domestication. Variations of copy number (CN) of antimicrobial related genes suggest an ongoing process of evolution of these genes to combat food-borne pathogens. Likewise, some genes related to the omnivorous lifestyle of pigs, like genes involved in detoxification, were observed to be CN variable. A small portion of CNVRs was unique to domestic pigs and may have been selected during domestication. The majority of CNVRs, however, is shared between wild and domesticated individuals, indicating that domestication had minor effect on the overall diversity of CNVRs. Also, the excess of CNVRs in non-genic regions implies that a major part of these variations is likely to be (nearly) neutral. Comparison between different populations showed that larger populations have more CNVRs, highlighting that CNVRs are, like other genetic variation such as SNPs and microsatellites, reflecting demographic history rather than phenotypic diversity. Conclusion CNVRs in pigs are enriched for genes related to sensory perception, neurological process, and response to stimulus. The majority of CNVRs ascertained in domestic pigs are also variable in wild boars, suggesting that the domestication of the pig did not result in a change in CNVRs in domesticated pigs. The majority of variable regions were found to reflect demographic patterns rather than phenotypic.
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Affiliation(s)
- Yogesh Paudel
- Animal Breeding and Genomics Centre, Wageningen University, De Elst 1, Wageningen, WD, 6708, The Netherlands.
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48
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Icelandic horses with the Silver coat colour show altered behaviour in a fear reaction test. Appl Anim Behav Sci 2013. [DOI: 10.1016/j.applanim.2013.04.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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49
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Identification of single nucleotide polymorphisms in the agouti signaling protein (ASIP) gene in some goat breeds in tropical and temperate climates. Mol Biol Rep 2013; 40:4447-57. [PMID: 23661018 DOI: 10.1007/s11033-013-2535-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Accepted: 04/29/2013] [Indexed: 10/26/2022]
Abstract
The agouti-signaling protein (ASIP) plays a major role in mammalian pigmentation as an antagonist to melanocortin-1 receptor gene to stimulate pheomelanin synthesis, a major pigment conferring mammalian coat color. We sequenced a 352 bp fragment of ASIP gene spanning part of exon 2 and part of intron 2 in 215 animals representing six goat breeds from Nigeria and the United States: West African Dwarf, predominantly black; Red Sokoto, mostly red; and Sahel, mostly white from Nigeria; black and white Alpine, brown and white Spanish and white Saanen from the US. Twenty haplotypes from nine mutations representing three intronic, one silent and five missense (p.S19R, p.N35K, p.L36V, p.M42L and p.L45W) mutations were identified in Nigerian goats. Approximately 89 % of Nigerian goats carry haplotype 1 (TGCCATCCG) which seems to be the wild type configuration of mutations in this region of the gene. Although we found no association between these polymorphisms in the ASIP gene and coat color in Nigerian goats, in-silico functional analysis predicts putative deleterious functional impact of the p.L45W mutation on the basic amino-terminal domain of ASIP. In the American goats, two intronic mutations, g.293G>A and g.327C>A, were identified in the Alpine breed, although the g.293G>A mutation is common to American and Nigerian goat populations. All Sannen and Sahel goats in this study belong to haplotypes 1 of both populations which seem to be the wild-type composite ASIP haplotype. Overall, there was no clear association of this portion of the ASIP gene interrogated in this study with coat color variation. Therefore, additional genomic analyses of promoter sequence, the entire coding and non-coding regions of the ASIP gene will be required to obtain a definite conclusion.
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