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Wang T, Ma X, Ma C, Wu X, ZhaXi T, Yin L, Li W, Li Y, Liang C, Yan P. Whole genome resequencing-based analysis of plateau adaptation in Meiren yak ( Bos grunniens). Anim Biotechnol 2024; 35:2298406. [PMID: 38193808 DOI: 10.1080/10495398.2023.2298406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
The Meiren yak is an important genetic resource in Gansu Province, China. In this study, we aimed to explore the evolutionary history and population structure of the genetic resource of Meiren yak and to mine the characteristic genes of Meiren yak. We analysed a total of 93 yaks of eight yak breeds based on whole genome resequencing combined with population genomics and used θπ ratio and Fst method to screen the selected sites in the genome region. The results proved that Meiren yak can be used as a potential genetic resource in Gansu Province. The genes in Meiren yak with positive selection in selection signal analysis were subjected to the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, which indicated that the genes were related to the adaptability to high altitude and hypoxic environment. By analysing the genetic variation of Meiren yak at the genome-wide level, this study provided a theoretical basis for genetic improvement of Meiren yak and for the development of high-quality yak resources.
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Affiliation(s)
- Tong Wang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoMing Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - ChaoFan Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoYun Wu
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ta ZhaXi
- Qilian County Veterinary Animal Husbandry Station, Qinghai, China
| | - LiXin Yin
- Huazhi Biotech Co. Ltd, Changsha, China
| | - WeiGuo Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - YuFei Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - ChunNian Liang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ping Yan
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
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Wang R, Wang X, Qi Y, Li Y, Na Q, Yuan H, Rong Y, Ao X, Guo F, Zhang L, Liu Y, Shang F, Zhang Y, Wang Y. Genetic diversity analysis of Inner Mongolia cashmere goats (Erlangshan subtype) based on whole genome re-sequencing. BMC Genomics 2024; 25:698. [PMID: 39014331 PMCID: PMC11253418 DOI: 10.1186/s12864-024-10485-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/30/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Inner Mongolia cashmere goat (IMCG), renowned for its superior cashmere quality, is a Chinese indigenous goat breed that has been developed through natural and artificial selection over a long period. However, recently, the genetic resources of IMCGs have been significantly threatened by the introduction of cosmopolitan goat breeds and the absence of adequate breed protection systems. RESULTS In order to assess the conservation effectiveness of IMCGs and efficiently preserve and utilize the purebred germplasm resources, this study analyzed the genetic diversity, kinship, family structure, and inbreeding of IMCGs utilizing resequencing data from 225 randomly selected individuals analyzed using the Plink (v.1.90), GCTA (v.1.94.1), and R (v.4.2.1) software. A total of 12,700,178 high-quality SNPs were selected through quality control from 34,248,064 SNP sites obtained from 225 individuals. The average minor allele frequency (MAF), polymorphic information content (PIC), and Shannon information index (SHI) were 0.253, 0.284, and 0.530, respectively. The average observed heterozygosity (Ho) and the average expected heterozygosity (He) were 0.355 and 0.351, respectively. The analysis of the identity by state distance matrix and genomic relationship matrix has shown that most individuals' genetic distance and genetic relationship are far away, and the inbreeding coefficient is low. The family structure analysis identified 10 families among the 23 rams. A total of 14,109 runs of homozygosity (ROH) were identified in the 225 individuals, with an average ROH length of 1014.547 kb. The average inbreeding coefficient, calculated from ROH, was 0.026 for the overall population and 0.027 specifically among the 23 rams, indicating a low level of inbreeding within the conserved population. CONCLUSIONS The IMCGs exhibited moderate polymorphism and a low level of kinship with inbreeding occurring among a limited number of individuals. Simultaneously, it is necessary to prevent the loss of bloodline to guarantee the perpetuation of the IMCGs' germplasm resources.
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Affiliation(s)
- Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Xinle Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yunpeng Qi
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yanbo Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Qin Na
- Inner Mongolia Autonomous Region Agricultural and Animal Husbandry Technology Extension Center, Hohhot, 010010, China
| | - Huiping Yuan
- Bayannur Forestry and Grassland Career Development Center, Bayannur, 015006, China
| | - Youjun Rong
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Xiaofang Ao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Furong Guo
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Lifei Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yan Liu
- College of Vocational and Technical, Inner Mongolia Agricultural University, Baotou, 014109, China
| | - Fangzheng Shang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, 010018, China.
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, 010018, China.
- Key Laboratory of Goat and Sheep Genetics, Breeding and Reproduction, Inner Mongolia Autonomous Region, Hohhot, 010018, China.
- Northern Agriculture and Livestock Husbandry Technology Innovation Center, Hohhot, 010018, China.
| | - Yu Wang
- College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010018, China.
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Zhang T, Wang Z, Li Y, Zhou B, Liu Y, Li J, Wang R, Lv Q, Li C, Zhang Y, Su R. Genetic diversity and population structure in five Inner Mongolia cashmere goat populations using whole-genome genotyping. Anim Biosci 2024; 37:1168-1176. [PMID: 38575127 PMCID: PMC11222833 DOI: 10.5713/ab.23.0424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/03/2023] [Accepted: 01/26/2024] [Indexed: 04/06/2024] Open
Abstract
OBJECTIVE As a charismatic species, cashmere goats have rich genetic resources. In the Inner Mongolia Autonomous Region, there are three cashmere goat varieties named and approved by the state. These goats are renowned for their high cashmere production and superior cashmere quality. Therefore, it is vitally important to protect their genetic resources as they will serve as breeding material for developing new varieties in the future. METHODS Three breeds including Inner Mongolia cashmere goats (IMCG), Hanshan White cashmere goats (HS), and Ujimqin white cashmere goats (WZMQ) were studied. IMCG were of three types: Aerbas (AEBS), Erlangshan (ELS), and Alashan (ALS). Nine DNA samples were collected for each population, and they were genomically re-sequenced to obtain high-depth data. The genetic diversity parameters of each population were estimated to determine selection intensity. Principal component analysis, phylogenetic tree construction and genetic differentiation parameter estimation were performed to determine genetic relationships among populations. RESULTS Samples from the 45 individuals from the five goat populations were sequenced, and 30,601,671 raw single nucleotide polymorphisms (SNPs) obtained. Then, variant calling was conducted using the reference genome, and 17,214,526 SNPs were retained after quality control. Individual sequencing depth of individuals ranged from 21.13× to 46.18×, with an average of 28.5×. In the AEBS, locus polymorphism (79.28) and expected heterozygosity (0.2554) proportions were the lowest, and the homologous consistency ratio (0.1021) and average inbreeding coefficient (0.1348) were the highest, indicating that this population had strong selection intensity. Conversely, ALS and WZMQ selection intensity was relatively low. Genetic distance between HS and the other four populations was relatively high, and genetic exchange existed among the other four populations. CONCLUSION The Inner Mongolia cashmere goat (AEBS type) population has a relatively high selection intensity and a low genetic diversity. The IMCG (ALS type) and WZMQ populations had relatively low selection intensity and high genetic diversity. The genetic distance between HS and the other four populations was relatively high, with a moderate degree of differentiation. Overall, these genetic variations provide a solid foundation for resource identification of Inner Mongolia Autonomous Region cashmere goats in the future.
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Affiliation(s)
- Tao Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Grassland Research Institute, Chinese Academy of Agricultural Sciences, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Yaming Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Bohan Zhou
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Yifan Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Jinquan Li
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Qi Lv
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Chun Li
- College of Animal Science and Technology, Inner Mongolia Minzu University, Tongliao, Inner Mongolia Autonomous Region, 028000,
China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Inner Mongolia Key Laboratory of Sheep and Goat Genetics Breeding and Reproduction, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
- Key Laboratory Of Mutton Sheep and Goat Genetics And Breeding, Ministry of Agriculture And Rural Affairs, Hohhot, Inner Mongolia Autonomous Region, 010018,
China
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An ZX, Shi LG, Hou GY, Zhou HL, Xun WJ. Genetic diversity and selection signatures in Hainan black goats revealed by whole-genome sequencing data. Animal 2024; 18:101147. [PMID: 38843669 DOI: 10.1016/j.animal.2024.101147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 06/22/2024] Open
Abstract
Understanding the genetic characteristics of indigenous goat breeds is crucial for their conservation and breeding efforts. Hainan black goats, as a native breed of south China's tropical island province of Hainan, possess distinctive traits such as black hair, a moderate growth rate, good meat quality, and small body size. However, they exhibit exceptional resilience to rough feeding conditions, possess high-quality meat, and show remarkable resistance to stress and heat. In this study, we resequenced the whole genome of Hainan black goats to study the economic traits and genetic basis of these goats, we leveraged whole-genome sequencing data from 33 Hainan black goats to analyze single nucleotide polymorphism (SNP) density, Runs of homozygosity (ROH), Integrated Haplotype Score (iHS), effective population size (Ne), Nucleotide diversity Analysis (Pi) and selection characteristics. Our findings revealed that Hainan black goats harbor a substantial degree of genetic variation, with a total of 23 608 983 SNPs identified. Analysis of ROHs identified 53 710 segments, predominantly composed of short fragments, with inbreeding events mainly occurring in ancient ancestors, the estimates of inbreeding based on ROH in Hainan black goats typically exhibit moderate values ranging from 0.107 to 0.186. This is primarily attributed to significant declines in the effective population size over recent generations. Moreover, we identified 921 candidate genes within the intersection candidate region of ROH and iHS. Several of these genes are associated with crucial traits such as immunity (PTPRC, HYAL1, HYAL2, HYAL3, CENPE and PKN1), heat tolerance (GNG2, MAPK8, CAPN2, SLC1A1 and LEPR), meat quality (ACOX1, SSTR1, CAMK2B, PPP2CA and PGM1), cashmere production (AKT4, CHRM2, OXTR, AKT3, HMCN1 and CDK19), and stress resistance (TLR2, IFI44, ENPP1, STK3 and NFATC1). The presence of these genes may be attributed to the genetic adaptation of Hainan black goats to local climate conditions. The insights gained from this study provide valuable references and a solid foundation for the preservation, breeding, and utilization of Hainan black goats and their valuable genetic resources.
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Affiliation(s)
- Z X An
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571100, China
| | - L G Shi
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571100, China
| | - G Y Hou
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571100, China
| | - H L Zhou
- Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China
| | - W J Xun
- School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
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Sheriff O, Ahbara AM, Haile A, Alemayehu K, Han JL, Mwacharo JM. Whole-genome resequencing reveals genomic variation and dynamics in Ethiopian indigenous goats. Front Genet 2024; 15:1353026. [PMID: 38854428 PMCID: PMC11156998 DOI: 10.3389/fgene.2024.1353026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 04/16/2024] [Indexed: 06/11/2024] Open
Abstract
Ethiopia has about 52 million indigenous goats with marked phenotypic variability, which is the outcome of natural and artificial selection. Here, we obtained whole-genome sequence data of three Ethiopian indigenous goat populations (Arab, Fellata, and Oromo) from northwestern Ethiopia and analyzed their genome-wide genetic diversity, population structure, and signatures of selection. We included genotype data from four other Ethiopian goat populations (Abergelle, Keffa, Gumuz, and Woyto-Guji) and goats from Asia; Europe; and eastern, southern, western, and northern Africa to investigate the genetic predisposition of the three Ethiopian populations and performed comparative genomic analysis. Genetic diversity analysis showed that Fellata goats exhibited the lowest heterozygosity values (Ho = 0.288 ± 0.005 and He = 0.334 ± 0.0001). The highest values were observed in Arab goats (Ho = 0.310 ± 0.010 and He = 0.347 ± 4.35e-05). A higher inbreeding coefficient (FROH = 0.137 ± 0.016) was recorded for Fellata goats than the 0.105 ± 0.030 recorded for Arab and the 0.112 ± 0.034 recorded for Oromo goats. This indicates that the Fellata goat population should be prioritized in future conservation activities. The three goat populations showed the majority (∼63%) of runs of homozygosity in the shorter (100-150 Kb) length category, illustrating ancient inbreeding and/or small founder effects. Population relationship and structure analysis separated the Ethiopian indigenous goats into two distinct genetic clusters lacking phylogeographic structure. Arab, Fellata, Oromo, Abergelle, and Keffa represented one genetic cluster. Gumuz and Woyto-Guji formed a separate cluster and shared a common genetic background with the Kenyan Boran goat. Genome-wide selection signature analysis identified nine strongest regions spanning 163 genes influencing adaptation to arid and semi-arid environments (HOXC12, HOXC13, HOXC4, HOXC6, and HOXC9, MAPK8IP2), immune response (IL18, TYK2, ICAM3, ADGRG1, and ADGRG3), and production and reproduction (RARG and DNMT1). Our results provide insights into a thorough understanding of genetic architecture underlying selection signatures in Ethiopian indigenous goats in a semi-arid tropical environment and deliver valuable information for goat genetic improvement, conservation strategy, genome-wide association study, and marker-assisted breeding.
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Affiliation(s)
- Oumer Sheriff
- Department of Animal Science, Assosa University, Assosa, Ethiopia
- Department of Animal Production and Technology, Bahir Dar University, Bahir Dar, Ethiopia
- Biotechnology Research Institute, Bahir Dar University, Bahir Dar, Ethiopia
| | - Abulgasim M. Ahbara
- Department of Zoology, Faculty of Sciences, Misurata University, Misurata, Libya
- Animal and Veterinary Sciences Scotland's Rural College (SRUC) and The Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute Building, Edinburgh, United Kingdom
| | - Aynalem Haile
- Resilient Agricultural Livelihood Systems Program (RALSP), International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
| | - Kefyalew Alemayehu
- Department of Animal Production and Technology, Bahir Dar University, Bahir Dar, Ethiopia
- Biotechnology Research Institute, Bahir Dar University, Bahir Dar, Ethiopia
- Ethiopian Agricultural Transformation Institute, Amhara Agricultural Transformation Center, Bahir Dar, Ethiopia
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- Livestock Genetics Program, International Livestock Research Institute, Nairobi, Kenya
| | - Joram M. Mwacharo
- Animal and Veterinary Sciences Scotland's Rural College (SRUC) and The Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute Building, Edinburgh, United Kingdom
- Resilient Agricultural Livelihood Systems Program (RALSP), International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
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Gebreselase HB, Nigussie H, Wang C, Luo C. Genetic Diversity, Population Structure and Selection Signature in Begait Goats Revealed by Whole-Genome Sequencing. Animals (Basel) 2024; 14:307. [PMID: 38254476 PMCID: PMC10812714 DOI: 10.3390/ani14020307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/21/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Goats belong to a group of animals called small ruminants and are critical sources of livelihood for rural people. Genomic sequencing can provide information ranging from basic knowledge about goat diversity and evolutionary processes that shape genomes to functional information about genes/genomic regions. In this study, we exploited a whole-genome sequencing data set to analyze the genetic diversity, population structure and selection signatures of 44 individuals belonging to 5 Ethiopian goat populations: 12 Aberegalle (AB), 5 Afar (AF), 11 Begait (BG), 12 Central highlands (CH) and 5 Meafure (MR) goats. Our results revealed the highest genetic diversity in the BG goat population compared to the other goat populations. The pairwise genetic differentiation (FST) among the populations varied and ranged from 0.011 to 0.182, with the closest pairwise value (0.003) observed between the AB and CH goats and a distant correlation (FST = 0.182) between the BG and AB goats, indicating low to moderate genetic differentiation. Phylogenetic tree, ADMIXTURE and principal component analyses revealed a classification of the five Ethiopian goat breeds in accordance with their geographic distribution. We also found three top genomic regions that were detected under selection on chromosomes 2, 5 and 13. Moreover, this study identified different candidate genes related to milk characteristics (GLYCAM1 and SRC), carcass (ZNF385B, BMP-7, PDE1B, PPP1R1A, FTO and MYOT) and adaptive and immune response genes (MAPK13, MAPK14, SCN7A, IL12A, EST1 DEFB116 and DEFB119). In conclusion, this information could be helpful for understanding the genetic diversity and population structure and selection scanning of these important indigenous goats for future genetic improvement and/or as an intervention mechanism.
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Affiliation(s)
- Haile Berihulay Gebreselase
- State Key Laboratory of Swine and Poultry Breeding Industry Guangdong Key Laboratory of Animal Breeding and Nutrition Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
- Department of Biotechnology, College of Natural and Computational Science, Aksum University, Aksum 1010, Tigray, Ethiopia
| | | | - Changfa Wang
- Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China;
| | - Chenglong Luo
- State Key Laboratory of Swine and Poultry Breeding Industry Guangdong Key Laboratory of Animal Breeding and Nutrition Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
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7
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Qiao Y, Gu M, Zhang Y, Bai Z, Qin Y, Xu Y, Dou X, Han D, Lin G, Wang L, Wang Z, Wang J, Sun Y, Wu Y, Chen R, Zhang Q, Li Q, Wang X, Xu Z, Cong Y, Chen J, Wang Z. Association analysis for SNPs of LIPE and ITGB4 genes with cashmere production performance, body measurement traits and milk production traits in Liaoning cashmere goats. Anim Biotechnol 2023; 34:3827-3836. [PMID: 37428531 DOI: 10.1080/10495398.2023.2230484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Liaoning cashmere goat (LCG) is one of the excellent cashmere goat breeds in China. Because of its larger size, better cashmere, and better cashmere production performance, people pay special attention to it. This article mainly studied the relationship between SNP loci of LIPE gene and ITGB4 gene and milk production, cashmere production and body measurement traits of LCGs. We further identified potential SNP loci by PCR-Seq polymorphism detection and gene sequence comparison of LIPE and ITGB4 genes. Further, we use SPSS and SHEsis software to analyze their relationship to production performance. The consequence indicated that CC genotype of LIPE gene T16409C locus was dominant genotype in milk production and cashmere production, while CT genotype of LIPE gene T16409C locus was dominant in body size. The CT genotype of C168T locus of ITGB4 gene is the dominant genotype of body type and cashmere production, while the dominant genotype of milk production is TT genotype. Through joint analysis, in haploid combinations, H1H2:CCCT is the dominant haplotype combination in cashmere fineness. H3H4:TTCT is a dominant haplotype combination of milk production traits and body measurement traits. These dominant genotypes can provide a reliable basis for the study of production performance of LCG.
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Affiliation(s)
- Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Qiu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Qian Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhiguo Xu
- Dalian Modern Agricultural Production Development Service Center, Dalian, China
| | - Yuyan Cong
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jing Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Cai W, Xu Y, Bai Z, Lin G, Wang L, Dou X, Han D, Wang Z, Wang J, Zhang X, Zhang Y, Qin Y, Gu M, Sun Y, Wu Y, Chen R, Wang Z. Association analysis for SNPs of BAAT and COL1A1 genes with cashmere production performance and other production traits in Liaoning cashmere goats. Anim Biotechnol 2023; 34:2324-2335. [PMID: 35749728 DOI: 10.1080/10495398.2022.2088550] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
This study aimed to investigate the relationship between the polymorphism of bile acid-CoA: amino acid N-acyltransferase (BAAT) and collagen type I alpha 1 chain (COL1A1) genes and the production performance of Liaoning Cashmere goat (LCG). The potential single nucleotide polymorphisms (SNPs) of LCG were detected by sequence comparison of BAAT and COL1A1 genes and PCR-Seq polymorphism, and the effect of SNPs on production performance was analyzed by SPSS software. The results showed that three SNPs loci were detected in BAAT gene: G7900A, T7967C, C7998T, and one SNP locus T6716C was detected in COL1AL gene. At G7900A locus, the dominant genotype for cashmere performance was GG, and the dominant genotype for body measurement traits and milk production traits was AG. At T7967C locus, the dominant genotype for cashmere performance was TT, and the dominant genotype for body measurement traits and milk production traits was CC. At C7998T locus, TT was the dominant genotype for cashmere performance, body measurement traits, and milk production traits. At the T6716C locus, TT was the dominant genotype for cashmere performance, body measurement traits, and milk production traits. H1H1: AACC is the dominant haplotype combination. Therefore, this study will provide a reliable reference for future research on cashmere production performance, body measurement traits, and milk production traits of LCG.
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Affiliation(s)
- Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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9
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More M, Veli E, Cruz A, Gutiérrez JP, Gutiérrez G, Ponce de León FA. Genome-Wide Association Study of Fiber Diameter in Alpacas. Animals (Basel) 2023; 13:3316. [PMID: 37958071 PMCID: PMC10648856 DOI: 10.3390/ani13213316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/13/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
The aim of this study was the identification of candidate genomic regions associated with fiber diameter in alpacas. DNA samples were collected from 1011 female Huacaya alpacas from two geographical Andean regions in Peru (Pasco and Puno), and three alpaca farms within each region. The samples were genotyped using an Affymetrix Custom Alpaca genotyping array containing 76,508 SNPs. After the quality controls, 960 samples and 51,742 SNPs were retained. Three association study methodologies were performed. The GWAS based on a linear model allowed us to identify 11 and 35 SNPs (-log10(p-values) > 4) using information on all alpacas and alpacas with extreme values of fiber diameter, respectively. The haplotype and marker analysis method allowed us to identify nine haplotypes with standardized haplotype heritability higher than six standard deviations. The selection signatures based on cross-population extended haplotype homozygosity (XP-EHH) allowed us to identify 180 SNPs with XP-EHH values greater than |3|. Four candidate regions with adjacent SNPs identified via two association methods of analysis are located on VPA6, VPA9, VPA29 and one chromosomally unassigned scaffold. This study represents the first analysis of alpaca whole genome association with fiber diameter, using a recently assembled alpaca SNP microarray.
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Affiliation(s)
- Manuel More
- Facultad de Agronomía y Zootecnia, Universidad Nacional de San Antonio Abad del Cusco, Cusco 08006, Peru;
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
| | - Eudosio Veli
- Centro Experimental La Molina, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), Lima 15024, Peru;
| | - Alan Cruz
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Estación Científica de Pacomarca, Inca Tops S.A., Arequipa 04007, Peru
| | - Juan Pablo Gutiérrez
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Gustavo Gutiérrez
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Instituto de Investigación de Bioquímica y Biología Molecular, Universidad Nacional Agraria La Molina, Lima 15024, Peru
| | - F. Abel Ponce de León
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Department of Animal Science, University of Minnesota, Minneapolis, MN 55108, USA
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10
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Zhang W, Jin M, Lu Z, Li T, Wang H, Yuan Z, Wei C. Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep. Animals (Basel) 2023; 13:3265. [PMID: 37893989 PMCID: PMC10603731 DOI: 10.3390/ani13203265] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/10/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Wool color is controlled by a variety of genes. Although the gene regulation of some wool colors has been studied in relative depth, there may still be unknown genetic variants and control genes for some colors or different breeds of wool that need to be identified and recognized by whole genome resequencing. Therefore, we used whole genome resequencing data to compare and analyze sheep populations of different breeds by population differentiation index and nucleotide diversity ratios (Fst and θπ ratio) as well as extended haplotype purity between populations (XP-EHH) to reveal selection signals related to wool coloration in sheep. Screening in the non-white wool color group (G1 vs. G2) yielded 365 candidate genes, among which PDE4B, GMDS, GATA1, RCOR1, MAPK4, SLC36A1, and PPP3CA were associated with the formation of non-white wool; an enrichment analysis of the candidate genes yielded 21 significant GO terms and 49 significant KEGG pathways (p < 0.05), among which 17 GO terms and 21 KEGG pathways were associated with the formation of non-white wool. Screening in the white wool color group (G2 vs. G1) yielded 214 candidate genes, including ABCD4, VSX2, ITCH, NNT, POLA1, IGF1R, HOXA10, and DAO, which were associated with the formation of white wool; an enrichment analysis of the candidate genes revealed 9 significant GO-enriched pathways and 19 significant KEGG pathways (p < 0.05), including 5 GO terms and 12 KEGG pathways associated with the formation of white wool. In addition to furthering our understanding of wool color genetics, this research is important for breeding purposes.
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Affiliation(s)
- Wentao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Meilin Jin
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
| | - Taotao Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Huihua Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zehu Yuan
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China;
| | - Caihong Wei
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
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11
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Zhang W, Jin M, Li T, Lu Z, Wang H, Yuan Z, Wei C. Whole-Genome Resequencing Reveals Selection Signal Related to Sheep Wool Fineness. Animals (Basel) 2023; 13:2944. [PMID: 37760343 PMCID: PMC10526036 DOI: 10.3390/ani13182944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Wool fineness affects the quality of wool, and some studies have identified about forty candidate genes that affect sheep wool fineness, but these genes often reveal only a certain proportion of the variation in wool thickness. We further explore additional genes associated with the fineness of sheep wool. Whole-genome resequencing of eight sheep breeds was performed to reveal selection signals associated with wool fineness, including four coarse wool and four fine/semi-fine wool sheep breeds. Multiple methods to reveal selection signals (Fst and θπ Ratio and XP-EHH) were applied for sheep wool fineness traits. In total, 269 and 319 genes were annotated in the fine wool (F vs. C) group and the coarse wool (C vs. F) group, such as LGR4, PIK3CA, and SEMA3C and NFIB, OPHN1, and THADA. In F vs. C, 269 genes were enriched in 15 significant GO Terms (p < 0.05) and 38 significant KEGG Pathways (p < 0.05), such as protein localization to plasma membrane (GO: 0072659) and Inositol phosphate metabolism (oas 00562). In C vs. F, 319 genes were enriched in 21 GO Terms (p < 0.05) and 16 KEGG Pathways (p < 0.05), such as negative regulation of focal adhesion assembly (GO: 0051895) and Axon guidance (oas 04360). Our study has uncovered genomic information pertaining to significant traits in sheep and has identified valuable candidate genes. This will pave the way for subsequent investigations into related traits.
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Affiliation(s)
- Wentao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Meilin Jin
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Taotao Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zengkui Lu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
| | - Huihua Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
| | - Zehu Yuan
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China;
| | - Caihong Wei
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (W.Z.); (M.J.); (T.L.); (H.W.)
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12
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Saleh AA, Xue L, Zhao Y. Screening Indels from the whole genome to identify the candidates and their association with economic traits in several goat breeds. Funct Integr Genomics 2023; 23:58. [PMID: 36757519 DOI: 10.1007/s10142-023-00981-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 02/10/2023]
Abstract
In the present study, the re-sequencing of our previous whole-genome sequencing (WGS) for selected individuals of Dazu-black goat (DBG) and Inner-Mongolia Cashmere goat (IMCG) breeds was used to detect and compare the differentiation in Indels depending on the reference genome of goat. Then, three selected candidate Indels rs668795676, rs657996810, and rs669452874 of the three genes SUFU, SYCP2L and GLIPR1L1, respectively, have been chosen, based on the results of prior GWAS across the genome, and examined for their association with body weight and dimensions (body height, body length, heart girth, chest width, cannon circumference, and chest depth) by kompetitive allele specific PCR assay for 342 goats from the three studied goat breeds (DBG, n = 203; ♂99, ♀104), IMCG (n = 65; 15♂, 50♀), and Hechuan white goat (HWG, n = 74; 34♂, 40♀) breeds. The analysis of 192.747 Gb WGS revealed an average 334,151 Indels in the whole genome of DBG and IMCG breeds. Chromosome 1 had a maximum number of mutations (Indels) of 58,497 and 55,527 for IMCG and DBG, respectively, while chromosome 25 had the least number of mutations of 15,680 and 16,103 for IMCG and DBG, respectively. The majority of Indels were either Ins or Del of short fragments of 1-5 bp, which covered 79.06 and 71.78% of the total number of Indels mutations in IMCG and DBG, respectively. Comparing the differences of Indels between the studied goat breeds revealed 100 and 110 unique Indels for IMCG and DBG, respectively. The Indels loci in the intron region were unique for both studied goat breeds which were related to 30 and 38 candidate genes in IMCG and DBG, respectively, including SUFU, SYCP2L, and GLIPR1L1 genes. Concerning rs669452874 locus, body height and body length of Del/Del genotype in DBG were significantly higher (P < 0.05) than that of Ins/Del genotype, while body height and body length of Del/Del genotype in IMCG were significantly higher (P < 0.01) than those of Ins/Ins genotype, whereas body height and body length and heart girth of Del/Del genotype in HWG were significantly higher (P < 0.01) than those of the Ins/Del and Ins/Ins genotypes. Thus, Del/Del genotype of rs669452874 locus can be used as a candidate molecular marker related to the body dimensions in the studied goat breeds.
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Affiliation(s)
- Ahmed A Saleh
- Animal and Fish Production Department, Faculty of Agriculture (Alshatby), Alexandria University, Alexandria City, 11865, Egypt.
| | - Lei Xue
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, 400715, People's Republic of China
| | - Yongju Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, 400715, People's Republic of China
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13
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Xiong J, Bao J, Hu W, Shang M, Zhang L. Whole-genome resequencing reveals genetic diversity and selection characteristics of dairy goat. Front Genet 2023; 13:1044017. [PMID: 36685859 PMCID: PMC9852865 DOI: 10.3389/fgene.2022.1044017] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/13/2022] [Indexed: 01/09/2023] Open
Abstract
The dairy goat is one of the earliest dairy livestock species, which plays an important role in the economic development, especially for developing countries. With the development of agricultural civilization, dairy goats have been widely distributed across the world. However, few studies have been conducted on the specific characteristics of dairy goat. In this study, we collected the whole-genome data of 89 goat individuals by sequencing 48 goats and employing 41 publicly available goats, including five dairy goat breeds (Saanen, Nubian, Alpine, Toggenburg, and Guanzhong dairy goat; n = 24, 15, 11, 6, 6), and three goat breeds (Guishan goat, Longlin goat, Yunshang Black goat; n = 6, 15, 6). Through compared the genomes of dairy goat and non-dairy goat to analyze genetic diversity and selection characteristics of dairy goat. The results show that the eight goats could be divided into three subgroups of European, African, and Chinese indigenous goat populations, and we also found that Australian Nubian, Toggenburg, and Australian Alpine had the highest linkage disequilibrium, the lowest level of nucleotide diversity, and a higher inbreeding coefficient, indicating that they were strongly artificially selected. In addition, we identified several candidate genes related to the specificity of dairy goat, particularly genes associated with milk production traits (GHR, DGAT2, ELF5, GLYCAM1, ACSBG2, ACSS2), reproduction traits (TSHR, TSHB, PTGS2, ESR2), immunity traits (JAK1, POU2F2, LRRC66). Our results provide not only insights into the evolutionary history and breed characteristics of dairy goat, but also valuable information for the implementation and improvement of dairy goat cross breeding program.
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14
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Wang W, Li Z, Xie G, Li X, Wu Z, Li M, Liu A, Xiong Y, Wang Y. Convergent Genomic Signatures of Cashmere Traits: Evidence for Natural and Artificial Selection. Int J Mol Sci 2023; 24:ijms24021165. [PMID: 36674681 PMCID: PMC9860930 DOI: 10.3390/ijms24021165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 12/27/2022] [Accepted: 01/03/2023] [Indexed: 01/10/2023] Open
Abstract
Convergent evolution provides powerful opportunities to investigate the genetic basis of complex traits. The Tibetan antelope (Pantholops hodgsonii) and Siberian ibex (Capra sibirica) belong to different subfamilies in Bovidae, but both have evolved similar superfine cashmere characteristics to meet the cold temperature in plateau environments. The cashmere traits of cashmere goats underwent strong artificial selection, and some traces of domestication also remained in the genome. Hence, we investigated the convergent genomic signatures of cashmere traits between natural and artificial selection. We compared the patterns of convergent molecular evolution between Tibetan antelope and Siberian ibex by testing positively selected genes, rapidly evolving genes and convergent amino acid substitutions. In addition, we analyzed the selected genomic features of cashmere goats under artificial selection using whole-genome resequencing data, and skin transcriptome data of cashmere goats were also used to focus on the genes involved in regulating cashmere traits. We found that molecular convergent events were very rare, but natural and artificial selection genes were convergent enriched in similar functional pathways (e.g., ECM-receptor interaction, focal adhesion, PI3K-Akt signaling pathway) in a variety of gene sets. Type IV collagen family genes (COL4A2, COL4A4, COL4A5, COL6A5, COL6A6) and integrin family genes (ITGA2, ITGA4, ITGA9, ITGB8) may be important candidate genes for cashmere formation and development. Our results provide a comprehensive approach and perspective for exploring cashmere traits and offer a valuable reference for subsequent in-depth research on the molecular mechanisms regulating cashmere development and fineness.
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Affiliation(s)
- Wei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Zhuohui Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Guoxiang Xie
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xinmei Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Zhipei Wu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Manman Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Anguo Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yan Xiong
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
- Correspondence:
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15
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Liu B, Zhao R, Wu T, Ma Y, Gao Y, Wu Y, Hao B, Yin J, Li Y. Transcriptomes reveal microRNAs and mRNAs in different photoperiods influencing cashmere growth in goat. PLoS One 2023; 18:e0282772. [PMID: 36930617 PMCID: PMC10022811 DOI: 10.1371/journal.pone.0282772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 02/22/2023] [Indexed: 03/18/2023] Open
Abstract
Cashmere goat has a typical characteristic in seasonal growth of cashmere. Studies have shown that one of the main factors affecting the cyclical growth of the cashmere is the photoperiod, however, its molecular mechanism remains unclear. Inner Mongolia Arbas cashmere goat was used to reveal the mRNA-microRNA regulatory mechanisms of cashmere growth in different photoperiod. Skin samples from cashmere goats under light control (short photoperiod) and normal conditions (long photoperiod) were collected. Sequencing was performed after RNA extraction. The differentially expressed miRNA and mRNA expression profiles were successfully constructed. We found 56 significantly differentially expressed known mRNAs (P<0.01) and 14 microRNAs (P<0.05). The association analysis of the microRNAs and mRNAs showed that two differentially expressed miRNAs might be targeted by six differentially expressed genes. Targeting relationships of these genes and miRNAs are revealed and verified. In all, the light control technology provides a new way to promote cashmere growth. Our results provide some references in the cashmere growth and development.
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Affiliation(s)
- Bin Liu
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
| | - Ruoyang Zhao
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Oujiang Laboratory, Wenzhou, Wenzhou, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Tiecheng Wu
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
| | - Yuejun Ma
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
| | - Yulin Gao
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
| | - Yahan Wu
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
| | - Bayasihuliang Hao
- College of Life Science, Inner Mongolia Agricultural University, Hohhot, China
- Etuokeqianqi Arctic God Research Institute of Cashmere and Livestock, Erdos, China
| | - Jun Yin
- College of Life Science, Inner Mongolia Agricultural University, Hohhot, China
- * E-mail: (JY); (YL)
| | - Yurong Li
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, China
- * E-mail: (JY); (YL)
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Detection of Selection Signatures in Anqing Six-End-White Pigs Based on Resequencing Data. Genes (Basel) 2022; 13:genes13122310. [PMID: 36553577 PMCID: PMC9777694 DOI: 10.3390/genes13122310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/02/2022] [Accepted: 12/04/2022] [Indexed: 12/14/2022] Open
Abstract
As a distinguished Chinese indigenous pig breed that exhibits disease resistance and high meat quality, the Anqing six-end-white (AQ) pig represents a valuable germplasm resource for improving the quality of the pig breeding industry. In this study, 24 AQ pigs that were distantly blood-related and 6 Asian Wild Boar (AWB) were selected for 10× deep-genome resequencing. The signatures of the selection were analyzed to explore the genetic basis of their germplasm characteristics and to identify excellent germplasm-related functional genes based on NGS data. A total of 49,289,052 SNPs and 6,186,123 indels were detected across the genome in 30 pigs. Most of the genetic variations were synonym mutations and existed in the intergenic region. We identified 275 selected regions (top 1%) harboring 85 genes by applying a crossover approach based on genetic differentiation (FST) and polymorphism levels (π ratio). Some genes were found to be positively selected in AQ pigs' breeding. The SMPD4 and DDX18 genes were involved in the immune response to pseudorabies virus (PRV) and porcine reproductive and respiratory syndrome virus (PRRSV). The BCL6 and P2RX6 genes were involved in biological regulation of immune T cells and phagocytes. The SLC7A4 and SPACA4 genes were related to reproductive performance. The MSTN and HIF1A genes were related to fat deposition and muscle development. Moreover, 138 overlapping regions were detected in selected regions and ROH islands of AQ pigs. Additionally, we found that the QTLs with the most overlapping regions were related to back fat thickness, meat color, pH value, fatty acid content, immune cells, parasitic immunity, and bacterial immunity. Based on functional enrichment analysis and QTLs mapping, we conducted further research on the molecular genetic basis of germplasm traits (disease resistance and excellent meat quality). These results are a reliable resource for conserving germplasm resources and exploiting molecular markers of AQ pigs.
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17
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Wua C, Qin C, Fu X, Zhao B, Wu Y, He J, Mao J, Liu J, Huang X, Tian K. Correlation analysis of four KRTAP gene polymorphisms and cashmere fiber diameters in two cashmere goat breeds. CANADIAN JOURNAL OF ANIMAL SCIENCE 2022. [DOI: 10.1139/cjas-2021-0112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Fiber diameter, a quantitative trait, is controlled by minor effect polygenes. Keratin-associated proteins (KRTAPs) are an important part of hair, and their rich polymorphisms facilitate the mining of cashmere trait molecular markers. In this study, Jiangnan and Tibetan cashmere goats were taken as the research object; multiplex PCR and exome sequencing technology were used to identify the exon regional polymorphisms of cashmere goats KRTAP15-1, KRTAP13.1, KRTAP27-1, and KRTAP24-1. The effects of mutation sites on the fiber diameter of cashmere were analyzed by least square method. The results showed that there were 28 mutation sites in the four KRTAP genes in Jiangnan cashmere goats and Tibetan cashmere goat populations. Among them, the KRTAP13.1, KRTAP27-1, and KRTAP24-1 gene polymorphisms were found to be significantly related to the fiber diameter of Jiangnan cashmere goats. The exploration of molecular markers in this study will help to improve the fiber diameter of the down, while the identification of gene polymorphisms will provide original data for the utilization and protection of germplasm resources of cashmere goats.
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Affiliation(s)
- Cuiling Wua
- College of Animal Science, Xinjiang Agricultural University, Urumqi, 830000, China
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830000, China
| | - Chongkai Qin
- Xinjiang Aksu Prefecture Animal Husbandry Technology Extension Center, Aksu, 843000, China
| | - Xuefeng Fu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830000, China
| | - Bingru Zhao
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100083, China
| | - Yujiang Wu
- Institute of Animal Husbandry and Veterinary Medicine, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000 China
| | - Junmin He
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Jingyi Mao
- College of Animal Science, Xinjiang Agricultural University, Urumqi, 830000, China
| | - Jing Liu
- College of Animal Science, Xinjiang Agricultural University, Urumqi, 830000, China
| | - Xixia Huang
- College of Animal Science, Xinjiang Agricultural University, Urumqi, 830000, China
| | - Kechuan Tian
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830000, China
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18
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McManus CM, Lucci CM, Maranhão AQ, Pimentel D, Pimentel F, Rezende Paiva S. Response to heat stress for small ruminants: Physiological and genetic aspects. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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19
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Whole-Genome Sequencing Reveals the Genomic Characteristics and Selection Signatures of Hainan Black Goat. Genes (Basel) 2022; 13:genes13091539. [PMID: 36140707 PMCID: PMC9498695 DOI: 10.3390/genes13091539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Abstract
Goats have become one of the most adaptive and important livestock species distributed in developing countries in recent years. The Hainan Black goat is a native goat breed of the Hainan region that is generally well-liked by the local population and is thus raised in large numbers. However, the genomic diversity and selective signals of the Hainan Black goat have not been clearly elucidated yet. Therefore, in this study, we performed whole-genome resequencing of 16 Hainan Black goats and compared the results with those of 71 goats of 6 other breeds from different geographic regions. Principal component analysis (PCA) and phylogenetic analysis identified seven lineages for all goats. Hainan Black goats showed the most similarity with Leizhou goats and the least similarity with Boer goats. Selective sweep analysis identified candidate genes associated with various functions, including immune resistance to disease (TNFAIP2 (TNF alpha induced protein 2) and EXOC3L4 (exocyst complex component 3 like 4)), melanin biosynthetic process (CDH15 (cadherin 15), ASIP (agouti signaling protein), and PARD3 (par-3 family cell polarity regulator)), and light sensitivity (CNGB3 (cyclic nucleotide gated channel subunit beta 3) and CNBD1 (cyclic nucleotide binding domain containing 1)), underlying strong selection signatures in Hainan Black goats. The melanin biosynthetic process, circadian entrainment, regulation of cyclic adenosine 3,5-monophosphate (cAMP)-mediated signaling, and the Rap-1 signaling pathway were significantly enriched in Hainan Black and Alashan Cashmere goats. This result may be important for understanding each trait. Selection signature analysis revealed candidate single nucleotide polymorphisms (SNPs) and genes correlated with the traits of Hainan Black goats. Collectively, our results provide valuable insights into the genetic basis of specific traits correlated with the Hainan island climate, artificial selection in certain local goat breeds, and the importance of protecting breed resources.
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20
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Panigrahi M, Kumar H, Saravanan KA, Rajawat D, Sonejita Nayak S, Ghildiyal K, Kaisa K, Parida S, Bhushan B, Dutt T. Trajectory of livestock genomics in South Asia: A comprehensive review. Gene 2022; 843:146808. [PMID: 35973570 DOI: 10.1016/j.gene.2022.146808] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 02/07/2023]
Abstract
Livestock plays a central role in sustaining human livelihood in South Asia. There are numerous and distinct livestock species in South Asian countries. Several of them have experienced genetic development in recent years due to the application of genomic technologies and effective breeding programs. This review discusses genomic studies on cattle, buffalo, sheep, goat, pig, horse, camel, yak, mithun, and poultry. The frontiers covered in this review are genetic diversity, admixture studies, selection signature research, QTL discovery, genome-wide association studies (GWAS), and genomic selection. The review concludes with recommendations for South Asian livestock systems to increasingly leverage genomic technologies, based on the lessons learned from the numerous case studies. This paper aims to present a comprehensive analysis of the dichotomy in the South Asian livestock sector and argues that a realistic approach to genomics in livestock can ensure long-term genetic advancements.
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Affiliation(s)
- Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
| | - Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - K A Saravanan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Kaiho Kaisa
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Subhashree Parida
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
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21
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Wu C, Li J, Xu X, Xu Q, Qin C, Liu G, Wei C, Zhang G, Tian K, Fu X. Effect of the FA2H Gene on cashmere fineness of Jiangnan cashmere goats based on transcriptome sequencing. BMC Genomics 2022; 23:527. [PMID: 35864447 PMCID: PMC9306159 DOI: 10.1186/s12864-022-08763-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 07/13/2022] [Indexed: 11/17/2022] Open
Abstract
Background Cashmere goats are a heterogeneous hairy mammal. The fineness of cashmere can affect its economic value. Therefore, in this study, we used transcriptome sequencing techniques to analyze the gene expression profiles of the skin tissues of cashmere goats with different cashmere fineness. The selected candidate genes were functionally verified with the secondary hair follicle hair papillary cells of cashmere goats. Results We identified 479 DEGs, of which 238 mRNAs were up-regulated in the fine velvet group and 241 mRNA were down-regulated. Based on functional annotation and protein interaction network analysis, we found some genes that may affect the fineness of cashmere, including SOX18, SOX4, WNT5A, IGFBP4, KAP8, KRT36, and FA2H. Using qRT-PCR, Western blot, CCK-8 cell viability detection, EDU cell proliferation detection, and flow cytometry, we found that overexpression of the FA2H gene could promote the proliferation of secondary hair follicle DPCs in cashmere goats. At the same time, we proved that FA2H could regulate the expression levels of the FGF5 and BMP2 genes in DPCs. Conclusion The results of this study provide a useful reference for the genetics and breeding of Jiangnan cashmere goats and goat genome annotation, and provide an experimental basis for improving cashmere quality of the cashmere goat. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08763-7.
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Affiliation(s)
- Cuiling Wu
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.,College of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.,Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere-Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830011, China
| | - Jianying Li
- Key Laboratory of Special Environmental Medicine, Xinjiang Military General Hospital, Urumqi, 830000, China
| | - Xinming Xu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere-Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830011, China
| | - Qi Xu
- Key Laboratory of Special Environmental Medicine, Xinjiang Military General Hospital, Urumqi, 830000, China
| | - Chongkai Qin
- Xinjiang Aksu Prefecture Animal Husbandry Technology Extension Center, Aksu, 843000, China
| | - Guifen Liu
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Chen Wei
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Guoping Zhang
- College of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China
| | - Kechuan Tian
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
| | - Xuefeng Fu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere-Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, 830011, China.
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22
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Li Y, Song S, Zhang Z, Liu X, Zhang Y, E G, Ma Y, Jiang L. A deletion variant within the FGF5 gene in goats is associated with gene expression levels and cashmere growth. Anim Genet 2022; 53:657-664. [PMID: 35843706 DOI: 10.1111/age.13239] [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: 03/22/2022] [Revised: 06/19/2022] [Accepted: 06/22/2022] [Indexed: 11/01/2022]
Abstract
The FGF5 gene has been associated with the regulation of fibre length in mammals, including cashmere goats. A deletion variant at ~14 kb downstream of the FGF5 gene showed significant divergence between cashmere and non-cashmere goats in previous studies. In this study, we designed specific primers to genotype the deletion variant. The results of gel electrophoresis and Sanger sequencing revealed that a 507-bp deletion mutation is located at 95 454 685-95 455 191 of chromosome 6 in goats. Genotyping data from a large panel of 288 goats showed that the deletion at the FGF5 gene locus appeared to be associated with cashmere length. The deletion variant was close to fixation (frequency 0.97) in cashmere goats. Furthermore, electrophoretic mobility shift assays for evaluating DNA-protein interaction and mRNA expression levels of FGF5 suggested that the deletion variant may serve as a cis-acting element by specifically binding transcription factors to mediate quantitative changes in FGF5 mRNA expression. Our study illustrates how a structural mutation of the FGF5 gene has contributed to the cashmere growth phenotype in domestic goats. The deletion mutation within the FGF5 gene could potentially serve as a molecular marker of cashmere growth in cashmere goat breeding.
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Affiliation(s)
- Yefang Li
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Shen Song
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,State Key Laboratory of Cardiovascular Disease Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengkai Zhang
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xuexue Liu
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,Centre d'Anthropobiologie et de Genomique de Toulouse, Universite Paul Sabatier, Toulouse, France
| | - Yanli Zhang
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Guangxin E
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and Utilization, Southwest University, Chongqing, China
| | - Yuehui Ma
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lin Jiang
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
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23
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Gu B, Sun R, Fang X, Zhang J, Zhao Z, Huang D, Zhao Y, Zhao Y. Genome-Wide Association Study of Body Conformation Traits by Whole Genome Sequencing in Dazu Black Goats. Animals (Basel) 2022; 12:ani12050548. [PMID: 35268118 PMCID: PMC8908837 DOI: 10.3390/ani12050548] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/15/2022] [Accepted: 02/19/2022] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Body conformation traits are economically important in the goat meat industry. Good growth performance in goats, including an accelerated growth rate, can improve carcass weight and meat yield. The identification of genetic variants associated with these traits provides a basis for the genetic improvement of growth performance. In this study, we measured six body conformation traits, including body height, body length, cannon circumference, chest depth, chest width, and heart girth. By a genome-wide association study of a Chinese meat goat breed, 53 significant single nucleotide polymorphisms and 42 candidate genes associated with these traits were detected. These findings improve our understanding of the genetic basis of body conformation traits in goats. Abstract Identifying associations between genetic markers and economic traits has practical benefits for the meat goat industry. To better understand the genomic regions and biological pathways contributing to body conformation traits of meat goats, a genome-wide association study was performed using Dazu black goats (DBGs), a Chinese indigenous goat breed. In particular, 150 DBGs were genotyped by whole-genome sequencing, and six body conformation traits, including body height (BH), body length (BL), cannon circumference (CC), chest depth (CD), chest width (CW), and heart girth (HG), were examined. In total, 53 potential SNPs were associated with these body conformation traits. A bioinformatics analysis was performed to evaluate the genes located close to the significant SNPs. Finally, 42 candidate genes (e.g., PSTPIP2, C7orf57, CCL19, FGF9, SGCG, FIGN, and SIPA1L) were identified as components of the genetic architecture underlying body conformation traits. Our results provide useful biological information for the improvement of growth performance and have practical applications for genomic selection in goats.
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Affiliation(s)
- Bowen Gu
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
| | - Ruifan Sun
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
| | - Xingqiang Fang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
| | - Jipan Zhang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
| | - Zhongquan Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
| | - Deli Huang
- Tengda Animal Husbandry Co., Ltd., Chongqing 402360, China;
| | - Yuanping Zhao
- Dazu County Agriculture and Rural Committee, Chongqing 402360, China;
| | - Yongju Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China; (B.G.); (R.S.); (X.F.); (J.Z.); (Z.Z.)
- Chongqing Key Laboratory of Herbivore Science, Chongqing 400715, China
- Chongqing Engineering Research Center for Herbivores Resource Protection and Utilization, Chongqing 400715, China
- Correspondence:
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24
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Lei Z, Sun W, Guo T, Li J, Zhu S, Lu Z, Qiao G, Han M, Zhao H, Yang B, Zhang L, Liu J, Yuan C, Yue Y. Genome-Wide Selective Signatures Reveal Candidate Genes Associated with Hair Follicle Development and Wool Shedding in Sheep. Genes (Basel) 2021; 12:genes12121924. [PMID: 34946875 PMCID: PMC8702090 DOI: 10.3390/genes12121924] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/25/2021] [Accepted: 11/27/2021] [Indexed: 02/03/2023] Open
Abstract
Hair follicle development and wool shedding in sheep are poorly understood. This study investigated the population structures and genetic differences between sheep with different wool types to identify candidate genes related to these traits. We used Illumina ovine SNP 50K chip genotyping data of 795 sheep populations comprising 27 breeds with two wool types, measuring the population differentiation index (Fst), nucleotide diversity (θπ ratio), and extended haplotype homozygosity among populations (XP-EHH) to detect the selective signatures of hair sheep and fine-wool sheep. The top 5% of the Fst and θπ ratio values, and values of XP-EHH < −2 were considered strongly selected SNP sites. Annotation showed that the PRX, SOX18, TGM3, and TCF3 genes related to hair follicle development and wool shedding were strongly selected. Our results indicated that these methods identified important genes related to hair follicle formation, epidermal differentiation, and hair follicle stem cell development, and provide a meaningful reference for further study on the molecular mechanisms of economically important traits in sheep.
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Affiliation(s)
- Zhihui Lei
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Weibo Sun
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Jianye Li
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Shaohua Zhu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Zengkui Lu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Guoyan Qiao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Mei Han
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Hongchang Zhao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Liping Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China; (S.Z.); (L.Z.)
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Chao Yuan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (Z.L.); (W.S.); (T.G.); (J.L.); (Z.L.); (G.Q.); (M.H.); (H.Z.); (B.Y.); (J.L.); (C.Y.)
- Correspondence:
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25
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Guan D, Martínez A, Luigi-Sierra MG, Delgado JV, Landi V, Castelló A, Fernández Álvarez J, Such X, Jordana J, Amills M. Detecting the footprint of selection on the genomes of Murciano-Granadina goats. Anim Genet 2021; 52:683-693. [PMID: 34196982 DOI: 10.1111/age.13113] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 01/14/2023]
Abstract
Artificial selection is one of the major forces modifying the genetic composition of livestock populations. Identifying genes under selection could be useful to elucidate their impact on phenotypic variation. We aimed to identify genomic regions targeted by selection for dairy and pigmentation traits in Murciano-Granadina goats. Performance of a selection scan based on the integrated haplotype score test in a population of 1183 Murciano-Granadina goats resulted in the identification of 77 candidate genomic regions/SNPs. The most significant selective sweeps mapped to chromosomes 1 (69.86 Mb), 4 (41.80-49.95 Mb), 11 (65.74 Mb), 12 (31.24 and 52.51 Mb), 17 (34.76-37.67 Mb), 22 (31.75 Mb), and 26 (26.69-31.05 Mb). By using previously generated RNA-Seq data, we built a catalogue of 6414 genes that are differentially expressed across goat lactation (i.e. 78 days post-partum, early lactation; 216 days post-partum, late lactation; 285 days post-partum, dry period). Interestingly, 183 of these genes mapped to selective sweeps and several of them display functions related with lipid, protein, and carbohydrate metabolism, insulin signaling, cell proliferation, as well as mammary development and involution. Of particular interest are the CSN3 and CSN1S2 genes, which encode two major milk proteins. Additionally, we found three pigmentation genes (GLI3, MC1R, and MITF) co-localizing with selective sweeps. Performance of a genome-wide association study and Sanger sequencing and TaqMan genotyping experiments revealed that the c.801C>G (p.Cys267Trp) polymorphism in the melanocortin 1 receptor (MC1R) gene is the main determinant of the black (GG or GC genotypes) and brown (CC genotypes) colorations of Murciano-Granadina goats.
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Affiliation(s)
- D Guan
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - A Martínez
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - M G Luigi-Sierra
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J V Delgado
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain
| | - V Landi
- Departamento de Genética, Universidad de Córdoba, Córdoba, 14071, Spain.,Department of Veterinary Medicine, University of Bari "Aldo Moro", SP. 62 per Casamassima km. 3, Valenzano, 70010, Italy
| | - A Castelló
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - J Fernández Álvarez
- Asociación Nacional de Criadores de Caprino de Raza Murciano-Granadina (CAPRIGRAN), Fuente Vaqueros, Granada, 18340, Spain
| | - X Such
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193, Spain
| | - J Jordana
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
| | - M Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, 08193, Spain
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Wang FH, Zhang L, Gong G, Yan XC, Zhang LT, Zhang FT, Liu HF, Lv Q, Wang ZY, Wang RJ, Zhang YJ, Wang ZX, Liu ZH, He LB, Su R, Zhao YH, Li JQ. Genome-wide association study of fleece traits in Inner Mongolia Cashmere goats. Anim Genet 2021; 52:375-379. [PMID: 33778967 PMCID: PMC8251931 DOI: 10.1111/age.13053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2021] [Indexed: 12/14/2022]
Abstract
Inner Mongolia Cashmere goat is a well-known local cashmere goat breed in China. It is famous for excellent fleece quality and a significant advantage in cashmere yield compared to other cashmere goat breeds. In this study, a genome-wide association study was used to investigate fiber length, fiber diameter, and cashmere yield of 192 Inner Mongolia Cashmere goats using the Illumina GoatSNP52K Beadchip panel. We discovered that four single nucleotide polymorphisms (SNPs) reached genome-wide significance levels. These SNPs were located in some genes, e.g. FGF12, SEMA3D, EVPL, and SOX5, possibly related to fleece traits in Inner Mongolia Cashmere goat. Gene ontology enrichment analysis revealed that these genes were enriched in several biological pathways that were involved in hair follicle development in cashmere goats. In summary, the identified significant SNPs and genes provide useful information to explore genetic mechanisms underlying the variation in fleece traits and genomic selection of Chinese cashmere goat.
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Affiliation(s)
- F. H. Wang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - L. Zhang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - G. Gong
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - X. C. Yan
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - L. T. Zhang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - F. T. Zhang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - H. F. Liu
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - Q. Lv
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - Z. Y. Wang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - R. J. Wang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - Y. J. Zhang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - Z. X. Wang
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
- Key Laboratory of Animal Genetics, Breeding and ReproductionHohhotInner Mongolia Autonomous Region010018China
| | - Z. H. Liu
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
- Key Laboratory of Mutton Sheep Genetics and BreedingMinistry of Agriculture and Rural AffairsHohhot010018China
| | - L. B. He
- Key Laboratory of Mutton Sheep Genetics and BreedingMinistry of Agriculture and Rural AffairsHohhot010018China
| | - R. Su
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - Y. H. Zhao
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
| | - J. Q. Li
- College of Animal ScienceInner Mongolia Agricultural UniversityHohhotInner Mongolia010018China
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27
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Identification and population genetic analyses of copy number variations in six domestic goat breeds and Bezoar ibexes using next-generation sequencing. BMC Genomics 2020; 21:840. [PMID: 33246410 PMCID: PMC7694352 DOI: 10.1186/s12864-020-07267-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 11/23/2020] [Indexed: 11/27/2022] Open
Abstract
Background Copy number variations (CNVs) are a major form of genetic variations and are involved in animal domestication and genetic adaptation to local environments. We investigated CNVs in the domestic goat (Capra hircus) using Illumina short-read sequencing data, by comparing our lab data for 38 goats from three Chinese breeds (Chengdu Brown, Jintang Black, and Tibetan Cashmere) to public data for 26 individuals from three other breeds (two Moroccan and one Chinese) and 21samples from Bezoar ibexes. Results We obtained a total of 2394 CNV regions (CNVRs) by merging 208,649 high-confidence CNVs, which spanned ~ 267 Mb of total length and accounted for 10.80% of the goat autosomal genome. Functional analyses showed that 2322 genes overlapping with the CNVRs were significantly enriched in 57 functional GO terms and KEGG pathways, most related to the nervous system, metabolic process, and reproduction system. Clustering patterns of all 85 samples generated separately from duplications and deletions were generally consistent with the results from SNPs, agreeing with the geographical origins of these goats. Based on genome-wide FST at each CNV locus, some genes overlapping with the highly divergent CNVs between domestic and wild goats were mainly enriched for several immunity-related pathways, whereas the genes overlapping with the highly differentiated CNVs between highland and lowland goats were mainly related to vitamin and lipid metabolism. Remarkably, a 507-bp deletion at ~ 14 kb downstream of FGF5 on chromosome 6 showed highly divergent (FST = 0.973) between the highland and lowland goats. Together with an enhancer activity of this sequence shown previously, the function of this duplication in regulating fiber growth deserved to be further investigated in detail. Conclusion We generated a comprehensive map of CNVs in goats. Many genetically differentiated CNVs among various goat populations might be associated with the population characteristics of domestic goat breeds. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07267-6.
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Genetic Signatures of Selection for Cashmere Traits in Chinese Goats. Animals (Basel) 2020; 10:ani10101905. [PMID: 33080940 PMCID: PMC7603090 DOI: 10.3390/ani10101905] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/12/2020] [Accepted: 10/16/2020] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Cashmere goats are a unique husbandry resource in China. These goats are well known for producing the highest cashmere yield and best fiber quality in the world. Although cashmere is highly valued and also known as “fiber gem” and “soft gold”, few studies have examined the genetic basis of cashmere traits in cashmere goats. Here, we identified selection signals by comparing Fst and XP-EHH (the cross population extend haplotype homozygosity test) of a non-cashmere breed (Huanghuai goat) with those of two cashmere breeds (Inner Mongolia and Liaoning cashmere goats). Two genes (WNT10A and CSN3) were potentially associated with cashmere traits. This information may be valuable for studying the genetic uniqueness of cashmere goats and elucidating the mechanisms underlying cashmere traits in cashmere goats. Abstract Inner Mongolia and Liaoning cashmere goats in China are well-known for their cashmere quality and yield. Thus, they are great models for identifying genomic regions associated with cashmere traits. Herein, 53 Inner Mongolia cashmere goats, Liaoning cashmere goats and Huanghuai goats were genotyped, and 53,347 single-nucleotide polymorphisms (SNPs) were produced using the Illumina Caprine 50K SNP chip. Additionally, we identified some positively selected SNPs by analyzing Fst and XP-EHH. The top 5% of SNPs had selection signatures. After gene annotation, 222 and 173 candidate genes were identified in Inner Mongolia and Liaoning cashmere goats, respectively. Several genes were related to hair follicle development, such as TRPS1, WDR74, LRRC14, SPTLC3, IGF1R, PADI2, FOXP1, WNT10A and CSN3. Gene enrichment analysis of these cashmere trait-associated genes related 67 enriched signaling pathways that mainly participate in hair follicle development and stem cell pluripotency regulation. Furthermore, we identified 20 overlapping genes that were selected in both cashmere goat breeds. Among these overlapping genes, WNT10A and CSN3, which are associated with hair follicle development, are potentially involved in cashmere production. These findings may improve molecular breeding of cashmere goats in the future.
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Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits. Int J Genomics 2020; 2020:5940205. [PMID: 32904540 PMCID: PMC7456479 DOI: 10.1155/2020/5940205] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/30/2020] [Accepted: 07/24/2020] [Indexed: 11/25/2022] Open
Abstract
Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth, reproductive, milk, wool, and disease resistance. The appropriate literature on this topic has been reviewed in this article. Several genetic characterization attempts of different goats have reported the existence of genotypic and morphological variations between different goat populations. As a result, different whole-genome sequences along with annotated gene sequences, gene function, and other genomic information of different goats are available in different databases. The main objective of this review is to search the genes associated with economic traits in goats. More than 271 candidate genes have been discovered in goats. Candidate genes influence the physiological pathway, metabolism, and expression of phenotypes. These genes have different functions on economically important traits. Some genes have pleiotropic effect for expression of phenotypic traits. Hence, recognizing candidate genes and their mutations that cause variations in gene expression and phenotype of an economic trait can help breeders look for genetic markers for specific economic traits. The availability of reference whole-genome assembly of goats, annotated genes, and transcriptomics makes comparative genomics a useful tool for systemic genetic upgradation. Identification and characterization of trait-associated sequence variations and gene will provide powerful means to give positive influences for future goat breeding program.
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30
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Li D, Sun G, Zhang M, Cao Y, Zhang C, Fu Y, Li F, Li G, Jiang R, Han R, Li Z, Wang Y, Tian Y, Liu X, Li W, Kang X. Breeding history and candidate genes responsible for black skin of Xichuan black-bone chicken. BMC Genomics 2020; 21:511. [PMID: 32703156 PMCID: PMC7376702 DOI: 10.1186/s12864-020-06900-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022] Open
Abstract
Background Domesticated chickens have a wide variety of phenotypes, in contrast with their wild progenitors. Unlike other chicken breeds, Xichuan black-bone chickens have blue-shelled eggs, and black meat, beaks, skin, bones, and legs. The breeding history and the economically important traits of this breed have not yet been explored at the genomic level. We therefore used whole genome resequencing to analyze the breeding history of the Xichuan black-bone chickens and to identify genes responsible for its unique phenotype. Results Principal component and population structure analysis showed that Xichuan black-bone chicken is in a distinct clade apart from eight other breeds. Linkage disequilibrium analysis showed that the selection intensity of Xichuan black-bone chickens is higher than for other chicken breeds. The estimated time of divergence between the Xichuan black-bone chickens and other breeds is 2.89 ka years ago. Fst analysis identified a selective sweep that contains genes related to melanogenesis. This region is probably associated with the black skin of the Xichuan black-bone chickens and may be the product of long-term artificial selection. A combined analysis of genomic and transcriptomic data suggests that the candidate gene related to the black-bone trait, EDN3, might interact with the upstream ncRNA LOC101747896 to generate black skin color during melanogenesis. Conclusions These findings help explain the unique genetic and phenotypic characteristics of Xichuan black-bone chickens, and provide basic research data for studying melanin deposition in animals.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Meng Zhang
- The First Hospital, Jilin University, Changchun, 130062, Jilin, China
| | - Yanfang Cao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Chenxi Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yawei Fu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Fang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yanbin Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China. .,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China.
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Nocelli C, Cappelli K, Capomaccio S, Pascucci L, Mercati F, Pazzaglia I, Mecocci S, Antonini M, Renieri C. Shedding light on cashmere goat hair follicle biology: from morphology analyses to transcriptomic landascape. BMC Genomics 2020; 21:458. [PMID: 32615938 PMCID: PMC7330943 DOI: 10.1186/s12864-020-06870-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Accepted: 06/24/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Cashmere goat is known for its precious undercoat. Being photoperiod-dictated, cashmere growth has been studied focusing mainly on hair follicle cycle phases (anagen, catagen and telogen). An accurate molecular knowledge of the goat hair follicle cycle, disentangling gene expression changes during phases and recognizing timing boundaries, could be useful to improve cashmere goat management and ultimately cashmere production. RESULTS To better describe goat's hair follicle transcriptome we applied RNA-sequencing to isolated hair follicles from five Italian cashmere goats, during the anagen and catagen phase, identifying total of 214 differentially expressed genes (DEGs): 97 were up-regulated while 117 were down-regulated in catagen with respect to anagen. Gene Ontology and pathway analysis were performed. We detected 144 significant pathways spanning from estrogen, pluripotency of stem cells, thermogenesis and fatty acid metabolism that were strongly expressed during the hair follicle phases analysed. Finally, we validated promising DEGs by RT-qPCR in the same set of samples as well as in hair follicles and entire skin biopsies of another cashmere goats cohort accounting for early anagen, anagen, early catagen, and catagen phases. CONCLUSIONS As in the isolated hair follicles, some target genes were homogenously modulated during the four hair follicle phases. Ceruloplasmin (CP) and Keratin 4 (K4), confirmed their clear cut expression between growing and resting phase. In fact, K4 was almost absent in catagen phases while CP was barely expressed in anagen phases. In particular, the strong expression of K4 in early anagen makes it an eligible marker to track the beginning of a new hair cycle, and therefore defining the optimum time for cashmere harvesting.
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Affiliation(s)
- Cristina Nocelli
- School of Pharmacy, University of Camerino, Via Gentile III da Varano, 62032 Camerino, Italy
| | - Katia Cappelli
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Stefano Capomaccio
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Luisa Pascucci
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Francesca Mercati
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Irene Pazzaglia
- Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche, Via Salvemini 1, 06126 Perugia, Italy
| | - Samanta Mecocci
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Marco Antonini
- Italian National Agency for New Technology, Energy and Sustainable Economic Development, ENEA CR Casaccia—SSPT BIOAG Probio, S.M. di Galeria, 00123 Rome, Italy
| | - Carlo Renieri
- School of Pharmacy, University of Camerino, Via Gentile III da Varano, 62032 Camerino, Italy
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Salek Ardestani S, Aminafshar M, Zandi Baghche Maryam MB, Banabazi MH, Sargolzaei M, Miar Y. Signatures of selection analysis using whole-genome sequence data reveals novel candidate genes for pony and light horse types. Genome 2020; 63:387-396. [PMID: 32407640 DOI: 10.1139/gen-2020-0001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Natural selection and domestication have shaped modern horse populations, resulting in a vast range of phenotypically diverse breeds. Horse breeds are classified into three types (pony, light, and draft) generally based on their body type. Understanding the genetic basis of horse type variation and selective pressures related to the evolutionary trend can be particularly important for current selection strategies. Whole-genome sequences were generated for 14 pony and 32 light horses to investigate the genetic signatures of selection of the horse type in pony and light horses. In the overlapping extremes of the fixation index and nucleotide diversity results, we found novel genomic signatures of selective sweeps near key genes previously implicated in body measurements including C4ORF33, CRB1, CPN1, FAM13A, and FGF12 that may influence variation in pony and light horse types. This study contributes to a better understanding of the genetic background of differences between pony and light horse types.
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Affiliation(s)
- Siavash Salek Ardestani
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | - Mehdi Aminafshar
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | | | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of Iran, Agricultural Research, Education & Extension Organization, Karaj 3146618361, Iran
| | - Mehdi Sargolzaei
- Department of Pathobiology, University of Guelph, Guelph, ON NIG 2W1, Canada.,Select Sires Inc., Plain City, OH 43064, USA
| | - Younes Miar
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada
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Salek Ardestani S, Aminafshar M, Zandi Baghche Maryam MB, Banabazi MH, Sargolzaei M, Miar Y. Whole-Genome Signatures of Selection in Sport Horses Revealed Selection Footprints Related to Musculoskeletal System Development Processes. Animals (Basel) 2019; 10:ani10010053. [PMID: 31888018 PMCID: PMC7023322 DOI: 10.3390/ani10010053] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 12/11/2019] [Accepted: 12/23/2019] [Indexed: 12/19/2022] Open
Abstract
Selective breeding has led to gradual changes at the genome level of horses. Deciphering selective pressure patterns is progressive to understand how breeding strategies have shaped the sport horse genome; although, little is known about the genomic regions under selective pressures in sport horse breeds. The major goal of this study was to shed light on genomic regions and biological pathways under selective pressures in sport horses. In this study, whole-genome sequences of 16 modern sport and 35 non-sport horses were used to investigate the genomic selective signals of sport performance, by employing fixation index, nucleotide diversity, and Tajima's D approaches. A total number of 49 shared genes were identified using these approaches. The functional enrichment analysis for candidate genes revealed novel significant biological processes related to musculoskeletal system development, such as limb development and morphogenesis, having been targeted by selection in sport breeds.
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Affiliation(s)
- Siavash Salek Ardestani
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran; (S.S.A.); (M.A.)
| | - Mehdi Aminafshar
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran; (S.S.A.); (M.A.)
| | | | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of Iran (ASRI), Agricultural Research, Education & Extension Organization (AREEO), Karaj 3146618361, Iran;
| | - Mehdi Sargolzaei
- Department of Pathobiology, Veterinary College, University of Guelph, Guelph, ON NIG2W1, Canada;
- Select Sires Inc., Plain City, OH 43064, USA
| | - Younes Miar
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N5E3, Canada
- Correspondence: ; Tel.: +1-902-893-6165
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Berihulay H, Li Y, Gebrekidan B, Gebreselassie G, Liu X, Jiang L, Ma Y. Whole Genome Resequencing Reveals Selection Signatures Associated With Important Traits in Ethiopian Indigenous Goat Populations. Front Genet 2019; 10:1190. [PMID: 31850061 PMCID: PMC6892828 DOI: 10.3389/fgene.2019.01190] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 10/28/2019] [Indexed: 12/12/2022] Open
Abstract
Ethiopia is considered as the main gateway for the introduction of livestock species, including goat, to the African continent. Ethiopian goats are characterized by their unique adaptive ability, and different physical characteristics in terms of morphology, body size, coat colors, and other important traits. The comparative population genomic analysis provides useful genomic information associated with important traits. Whole-genome resequencing of 44 Ethiopian indigenous goats produced 16 million single-nucleotide polymorphisms (SNPs) as well as 123,577 insertions and deletions. Specifically, 11,137,576, 10,760,581, 10,833,847, 12,229,657 and 10,749,996 putative SNPs were detected in Abergelle, Afar, Begait, Central Highland and Meafure goat populations, respectively. In this study, we used population differentiation (FST) and pooled heterozygosity (HP) Cbased approaches. From the FST analysis, we identified 480 outlier windows. The HP approach detected 108 and 205 outlier windows for Abergelle, and Begait, respectively. About 11 and 5 genes under selective signals were common for both approaches that were associated with important traits. After genome annotation, we found 41 Gene ontology (GO) terms (12 in biological processes, 8 in cellular components and 11 in the molecular function) and 10 Kyoto Encyclopedia of Genes and Genomes pathways. Several of the candidate genes are involved in the reproduction, body weight, fatty acids, and disease related traits. Our investigation contributes to deliver valuable genetic information and paves the way to design conservation strategy, breed management, genetic improvement, and utilization programs. The genomic resources generated in the study will offer an opportunity for further investigations.
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Affiliation(s)
- Haile Berihulay
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Veterinary Science, Mekelle University, Mekelle, Ethiopia
| | - Yefang Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Berihu Gebrekidan
- College of Veterinary Science, Mekelle University, Mekelle, Ethiopia
| | | | - Xuexue Liu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lin Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuehui Ma
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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35
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Guo J, Zhong J, Li L, Zhong T, Wang L, Song T, Zhang H. Comparative genome analyses reveal the unique genetic composition and selection signals underlying the phenotypic characteristics of three Chinese domestic goat breeds. Genet Sel Evol 2019; 51:70. [PMID: 31771503 PMCID: PMC6880376 DOI: 10.1186/s12711-019-0512-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 11/15/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND As one of the important livestock species around the world, goats provide abundant meat, milk, and fiber to fulfill basic human needs. However, the genetic loci that underlie phenotypic variations in domestic goats are largely unknown, particularly for economically important traits. In this study, we sequenced the whole genome of 38 goats from three Chinese breeds (Chengdu Brown, Jintang Black, and Tibetan Cashmere) and downloaded the genome sequence data of 30 goats from five other breeds (four non-Chinese and one Chinese breed) and 21 Bezoar ibexes to investigate the genetic composition and selection signatures of the Chinese goat breeds after domestication. RESULTS Based on population structure analysis and FST values (average FST = 0.22), the genetic composition of Chengdu Brown goats differs considerably from that of Bezoar ibexes as a result of geographic isolation. Strikingly, the genes under selection that we identified in Tibetan Cashmere goats were significantly enriched in the categories hair growth and bone and nervous system development, possibly because they are involved in adaptation to high-altitude. In particular, we found a large difference in allele frequency of one novel SNP (c.-253G>A) in the 5'-UTR of FGF5 between Cashmere goats and goat breeds with short hair. The mutation at this site introduces a start codon that results in the occurrence of a premature FGF5 protein and is likely a natural causal variant that is involved in the long hair phenotype of cashmere goats. The haplotype tagged with the AGG-allele in exon 12 of DSG3, which encodes a cell adhesion molecule that is expressed mainly in the skin, was almost fixed in Tibetan Cashmere goats, whereas this locus still segregates in the lowland goat breeds. The pigmentation gene KITLG showed a strong signature of selection in Tibetan Cashmere goats. The genes ASIP and LCORL were identified as being under positive selection in Jintang Black goats. CONCLUSIONS After domestication, geographic isolation of some goat breeds has resulted in distinct genetic structures. Furthermore, our work highlights several positively selected genes that likely contributed to breed-related traits in domestic goats.
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Affiliation(s)
- Jiazhong Guo
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Jie Zhong
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Li Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Tao Zhong
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Linjie Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Tianzeng Song
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850009 China
| | - Hongping Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
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36
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Guan D, Mármol-Sánchez E, Cardoso TF, Such X, Landi V, Tawari NR, Amills M. Genomic analysis of the origins of extant casein variation in goats. J Dairy Sci 2019; 102:5230-5241. [PMID: 30928270 DOI: 10.3168/jds.2018-15281] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 02/05/2019] [Indexed: 12/29/2022]
Abstract
The variation in the casein genes has a major impact on the milk composition of goats. Even though many casein polymorphisms have been identified so far, we do not know yet whether they are evolutionarily ancient (i.e., they existed before domestication) or young (i.e., they emerged after domestication). Herewith, we identified casein polymorphisms in a data set of 106 caprine whole-genome sequences corresponding to bezoars (Capra aegagrus, the ancestor of domestic goats) and 4 domestic goat (Capra hircus) populations from Europe, Africa, the Far East, and the Near East. Domestic and wild goat populations shared a substantial number of casein SNP, from 36.1% (CSN2) to 55.1% (CSN1S2). The comparison of casein variation among bezoars and the 4 domestic goat populations demonstrated that more than 50% of the casein SNP are shared by 2 or more populations, and 18 to 44% are shared by all populations. Moreover, the majority of casein alleles reported in domestic goats also segregate in the bezoar, including several alleles displaying significant associations with milk composition (e.g., the A/B alleles of the CSN1S1 and CSN3 genes, the A allele of the CSN2 gene). We conclude that much of the current diversity of the caprine casein genes comes from ancient standing variation segregating in the ancestor of modern domestic goats.
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Affiliation(s)
- D Guan
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), Consejo Superior de Investigaciones Científicas-Institut de Recerca i Tecnologia Agroalimentàries-Universitat Autònoma de Barcelona-Universitat de Barcelona (CSIC-IRTA-UAB-UB), Campus Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - E Mármol-Sánchez
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), Consejo Superior de Investigaciones Científicas-Institut de Recerca i Tecnologia Agroalimentàries-Universitat Autònoma de Barcelona-Universitat de Barcelona (CSIC-IRTA-UAB-UB), Campus Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - T F Cardoso
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), Consejo Superior de Investigaciones Científicas-Institut de Recerca i Tecnologia Agroalimentàries-Universitat Autònoma de Barcelona-Universitat de Barcelona (CSIC-IRTA-UAB-UB), Campus Universitat Autònoma de Barcelona, Bellaterra 08193, Spain; CAPES Foundation, Ministry of Education of Brazil, Brasilia D.F., 70.040-020 Brazil
| | - X Such
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - V Landi
- Departamento de Genética, Universidad de Córdoba, Córdoba 14071, Spain
| | - N R Tawari
- Computational and Systems Biology, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore 138672
| | - M Amills
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), Consejo Superior de Investigaciones Científicas-Institut de Recerca i Tecnologia Agroalimentàries-Universitat Autònoma de Barcelona-Universitat de Barcelona (CSIC-IRTA-UAB-UB), Campus Universitat Autònoma de Barcelona, Bellaterra 08193, Spain; Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain.
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37
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Li X, Ye J, Han X, Qiao R, Li X, Lv G, Wang K. Whole-genome sequencing identifies potential candidate genes for reproductive traits in pigs. Genomics 2019; 112:199-206. [PMID: 30707936 DOI: 10.1016/j.ygeno.2019.01.014] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 01/05/2019] [Accepted: 01/22/2019] [Indexed: 11/24/2022]
Abstract
Reproductive performance is a complex quantitative trait, that is determined by multiple genes, regulatory pathways and environmental factors. A list of major genes with large effect have been detected, although multiple QTLs are identified. To identify candidate genes for pig prolificacy, whole genome variants from five high- and five low-prolificacy Yorkshire sows were collected using whole-genome resequencing. A total of 13,955,609 SNPs and 2,666,366 indels were detected across the genome. Common differential SNPs and indels were identified between the two groups of sows. Genes encoding components of the TGF-beta signaling pathway were enriched with the variations, including BMP5, BMP6, BMP7, ACVR1, INHBA, ZFYVE9, TGFBR2, DCN, ID4, BAMBI, and ACVR2A. Several differential variants within these genes related to reproductive traits were identified to be associated with litter size. A comparison of selective regions and published QTL data suggests that NEDD9, SLC39A11, SNCA, and UNC5D are candidate genes for reproduction traits.
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Affiliation(s)
- Xinjian Li
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Jianwei Ye
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Xuelei Han
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Ruimin Qiao
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Xiuling Li
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Gang Lv
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China
| | - Kejun Wang
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, People's Republic of China.
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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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