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He Z, Sun H, Zhao F, Ma L, Wang J, Liu X, Li M, Hao Z, Li S. MicroRNA expression profiles reveal wool development and fineness regulation in Gansu alpine fine-wool sheep. Genomics 2024; 116:110922. [PMID: 39178999 DOI: 10.1016/j.ygeno.2024.110922] [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: 05/28/2024] [Revised: 07/04/2024] [Accepted: 08/19/2024] [Indexed: 08/26/2024]
Abstract
The development of wool has a complex regulatory mechanism both influenced by genetic and environmental factors. MicroRNAs (miRNA) were involved in various biological processes of animals, and may play an important role in the regulation of wool development. In this study, we comprehensively analyzed and identified the histological parameters of hair follicles, as well as the miRNAs, target genes, pathways, and Gene Ontology terms related to wool fineness regulation and wool growth and development using HE staining and RNA-Seqs methods. Both coarse (group C, mean fiber diameter (MFD) = 22.26 ± 0.69 μm, n = 6) and fine (group F, MFD = 16.91 ± 0.29 μm, n = 6) of Gansu alpine fine-wool sheep with different wool fineness were used in this study. The results showed that the primary follicle diameter and secondary wool fiber diameter in group C were significantly higher than those in group F (P < 0.05). And the number of primary and secondary hair follicles in group C was significantly lower than that in group F (P < 0.05). Furthermore, a total of 67 DE miRNAs and 290 potential DE miRNAs target genes were screened in the skin tissues of sheep from groups F and C, and some potential target genes related to wool fineness regulation were screened, such as CDH2, KRT82, FOXN1, LOC101106296, KRT20, MCOLN3, KRT71, and TERT. These genes were closely related to Glutathione metabolism, epidermal cell differentiation, keratinization, and regulation of hair cycle. Moreover, the regulatory network of miRNAs-mRNAs suggested that miRNAs (miR-129-x, novel m0079-3p, miR-2484-z, novel m0025-5P, etc.) may play a key role in the wool development and wool fineness regulation of Gansu alpine fine-wool sheep. In summary, this study expands the existing miRNAs database and provides new information for studying the regulation of wool development in Gansu alpine fine wool sheep.
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Affiliation(s)
- Zhaohua He
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Hongxian Sun
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Fangfang Zhao
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Longxia Ma
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Jiqing Wang
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Xiu Liu
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Mingna Li
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Zhiyun Hao
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China
| | - Shaobin Li
- Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, China.
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Zhang C, Zhang H, Di T, Wang G, Gao F, Li Z, Li M, Yang G. The 4 bp deletion mutation in HOXD1 gene determines the polycerate trait in Chinese Sishui fur sheep. Anim Genet 2023; 54:820-822. [PMID: 37846893 DOI: 10.1111/age.13369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Cheng Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Huan Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Tenggang Di
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Guan Wang
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Fengyi Gao
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Zhiqiang Li
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
| | - Ming Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Guangli Yang
- College of Biology and Food, Shangqiu Normal University, Shangqiu, China
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Lukic B, Curik I, Drzaic I, Galić V, Shihabi M, Vostry L, Cubric-Curik V. Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds. J Anim Sci Biotechnol 2023; 14:142. [PMID: 37932811 PMCID: PMC10626677 DOI: 10.1186/s40104-023-00936-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/04/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND The importance of sheep breeding in the Mediterranean part of the eastern Adriatic has a long tradition since its arrival during the Neolithic migrations. Sheep production system is extensive and generally carried out in traditional systems without intensive systematic breeding programmes for high uniform trait production (carcass, wool and milk yield). Therefore, eight indigenous Croatian sheep breeds from eastern Adriatic treated here as metapopulation (EAS), are generally considered as multipurpose breeds (milk, meat and wool), not specialised for a particular type of production, but known for their robustness and resistance to certain environmental conditions. Our objective was to identify genomic regions and genes that exhibit patterns of positive selection signatures, decipher their biological and productive functionality, and provide a "genomic" characterization of EAS adaptation and determine its production type. RESULTS We identified positive selection signatures in EAS using several methods based on reduced local variation, linkage disequilibrium and site frequency spectrum (eROHi, iHS, nSL and CLR). Our analyses identified numerous genomic regions and genes (e.g., desmosomal cadherin and desmoglein gene families) associated with environmental adaptation and economically important traits. Most candidate genes were related to meat/production and health/immune response traits, while some of the candidate genes discovered were important for domestication and evolutionary processes (e.g., HOXa gene family and FSIP2). These results were also confirmed by GO and QTL enrichment analysis. CONCLUSIONS Our results contribute to a better understanding of the unique adaptive genetic architecture of EAS and define its productive type, ultimately providing a new opportunity for future breeding programmes. At the same time, the numerous genes identified will improve our understanding of ruminant (sheep) robustness and resistance in the harsh and specific Mediterranean environment.
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Affiliation(s)
- Boris Lukic
- Faculty of Agrobiotechnical Sciences Osijek, J.J, Strossmayer University of Osijek, Vladimira Preloga 1, 31000, Osijek, Croatia.
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia.
| | - Ivana Drzaic
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia
| | - Vlatko Galić
- Department of Maize Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000, Osijek, Croatia
| | - Mario Shihabi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia
| | - Luboš Vostry
- Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Praque, Czech Republic
| | - Vlatka Cubric-Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia
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Zhang H, Yang P, Liu C, Ma Y, Han Y, Zeng Y, Huang Y, Zhao Y, Zhao Z, He X, E G. Novel Heredity Basis of the Four-Horn Phenotype in Sheep Using Genome-Wide Sequence Data. Animals (Basel) 2023; 13:3166. [PMID: 37893889 PMCID: PMC10603714 DOI: 10.3390/ani13203166] [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: 09/01/2023] [Revised: 10/08/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Horns are an important breeding trait for sheep. However, no widely recognized viewpoint on the regulatory genes and mechanisms of horns is available, and the genetic basis of the four-horn phenotype (FHP) is unclear. This work conducted a genome-wide association study with 100 sheep genomes from multiple breeds to investigate the genetic basis of the FHP. The results revealed three significant associations (corrected as p < 1.64 × 10-8) of the InDels (CHR2: g.133,742,709delA, g.133,743,215insC, and g.133,743,940delT) for FHP in the intergenic sequence (IGS) between the MTX2 and the LOC105609047 of CHR2. Moreover, 14 significant associations (corrected as p < 1.42 × 10-9) of SNPs with the FHP phenotype were identified in CHR2 and CHR16, including five (e.g., CHR16: g.40,351,378G > A and g.40,352,577G > A) located in the intron of the ADAMTS12 gene, eight (e.g., CHR2: g.133,727,513C > T and g.133,732,145T > G) in the IGS between MTX2 and LOC105609047, and only one (CHR2: g.133,930,761A > G) in the IGS between HOXD1 and MTX2. Obvious divergence was also observed in genotype patterns between the FHP and others (two horns and hornless) in the HOXD1 and ADAMTS12 gene regions. An extremely significant linkage also occurred between Loci I and Loci II within 100 individuals (LD = -156.02186, p < 0.00001). In summary, our study indicated that the genomic sequences from CHR2 and CHR16 contributed to the FHP in sheep, specifically the key candidate genes HOXD1 and ADAMTS12. These results improved our understanding of the Mendelian genetic basis of the FHP in sheep.
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Affiliation(s)
- Haoyuan Zhang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Pu Yang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Chengli Liu
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Yuehui Ma
- Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences, Beijing 100097, China
| | - Yanguo Han
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Yan Zeng
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Yongfu Huang
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Yongju Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Zhongquan Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
| | - Xiaohong He
- Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences, Beijing 100097, China
| | - Guangxin E
- College of Animal Science and Technology, Southwest University, Chongqing 400715, China
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Li H, Du X, Li X, Feng P, Chu M, Jin Y, Pan Z. Genetic diversity, tissue-specific expression, and functional analysis of the ATP7A gene in sheep. Front Genet 2023; 14:1239979. [PMID: 37799137 PMCID: PMC10547898 DOI: 10.3389/fgene.2023.1239979] [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: 06/14/2023] [Accepted: 09/06/2023] [Indexed: 10/07/2023] Open
Abstract
In humans, variation of the ATP7A gene may cause cranial exostosis, which is similar to "human horn," but the function of the ATP7A gene in sheep is still unknown. Tissue expression patterns and potential functional loci analysis of the ATP7A gene could help understand its function in sheep horn. In this study, we first identified tissue, sex, breed, and species-specific expression of the ATP7A gene in sheep based on the RNA-sequencing (RNA-seq) data. Second, the potential functional sites of the ATP7A gene were analyzed by using the whole genome sequencing (WGS) data of 99 sheep from 10 breeds. Last, the allele-specific expression of the ATP7A gene was explored. Our result showed the ATP7A gene has significantly higher expression in the big horn than in the small horn, and the ATP7A gene has high expression in the horn and skin, suggesting that this gene may be related to the horn. The PCA results show that the region around the ATP7A can distinguish horned and hornless groups to some extent, further indicating that the ATP7A may be related to horns. When compared with other species, we find seven ruminate specific amino acid sites of the ATP7A protein, which can be important to the ruminate horn. By analyzing WGS, we found 6 SNP sites with significant differences in frequency in horned and hornless populations, and most of these variants are present in the intron. But we still find some potential functional sites, including three missenses, three synonymous mutations, and four Indels. Finally, by combining the RNA-seq and WGS functional loci results, we find three mutations that showed allele-specific expression between big and small horns. This study shows that the ATP7A gene in sheep may be related to horn size, and several potential functional sites we identified here can be useful molecular markers for sheep horn breeding.
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Affiliation(s)
- Hao Li
- Engineering Research Center of North-East Cold Region Beef Cattle Science & Technology Innovation, Ministry of Education, College of Agriculture, Yanbian University, Yanji, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaolong Du
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xinyue Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Pingjie Feng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mingxing Chu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yi Jin
- Engineering Research Center of North-East Cold Region Beef Cattle Science & Technology Innovation, Ministry of Education, College of Agriculture, Yanbian University, Yanji, China
| | - Zhangyuan Pan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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6
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Li Y, Yang H, Guo J, Yang Y, Yu Q, Guo Y, Zhang C, Wang Z, Zuo P. Uncovering the candidate genes related to sheep body weight using multi-trait genome-wide association analysis. Front Vet Sci 2023; 10:1206383. [PMID: 37662987 PMCID: PMC10469697 DOI: 10.3389/fvets.2023.1206383] [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: 04/15/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
In sheep, body weight is an economically important trait. This study sought to map genetic loci related to weaning weight and yearling weight. To this end, a single-trait and multi-trait genome-wide association study (GWAS) was performed using a high-density 600 K single nucleotide polymorphism (SNP) chip. The results showed that 43 and 56 SNPs were significantly associated with weaning weight and yearling weight, respectively. A region associated with both weaning and yearling traits (OARX: 6.74-7.04 Mb) was identified, suggesting that the same genes could play a role in regulating both these traits. This region was found to contain three genes (TBL1X, SHROOM2 and GPR143). The most significant SNP was Affx-281066395, located at 6.94 Mb (p = 1.70 × 10-17), corresponding to the SHROOM2 gene. We also identified 93 novel SNPs elated to sheep weight using multi-trait GWAS analysis. A new genomic region (OAR10: 76.04-77.23 Mb) with 22 significant SNPs were discovered. Combining transcriptomic data from multiple tissues and genomic data in sheep, we found the HINT1, ASB11 and GPR143 genes may involve in sheep body weight. So, multi-omic anlaysis is a valuable strategy identifying candidate genes related to body weight.
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Affiliation(s)
- Yunna Li
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Hua Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Jing Guo
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Yonglin Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Qian Yu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Chaoxin Zhang
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University,, Harbin, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
| | - Peng Zuo
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science,, Shihezi, China
- College of Science, Northeast Agricultural University, Harbin, China
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7
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Chaukimath P, Frankel G, Visweswariah SS. The metabolic impact of bacterial infection in the gut. FEBS J 2023; 290:3928-3945. [PMID: 35731686 DOI: 10.1111/febs.16562] [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: 11/11/2021] [Revised: 06/02/2022] [Accepted: 06/21/2022] [Indexed: 08/17/2023]
Abstract
Bacterial infections of the gut are one of the major causes of morbidity and mortality worldwide. The interplay between the pathogen and the host is finely balanced, with the bacteria evolving to proliferate and establish infection. In contrast, the host mounts a response to first restrict and then eliminate the infection. The intestine is a rapidly proliferating tissue, and metabolism is tuned to cater to the demands of proliferation and differentiation along the crypt-villus axis (CVA) in the gut. As bacterial pathogens encounter the intestinal epithelium, they elicit changes in the host cell, and core metabolic pathways such as the tricarboxylic acid (TCA) cycle, lipid metabolism and glycolysis are affected. This review highlights the mechanisms utilized by diverse gut bacterial pathogens to subvert host metabolism and describes host responses to the infection.
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Affiliation(s)
- Pooja Chaukimath
- Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, India
| | - Gad Frankel
- Centre for Molecular Bacteriology and Infection and Department of Life Sciences, Imperial College, London, UK
| | - Sandhya S Visweswariah
- Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, India
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Luan Y, Wu S, Wang M, Pu Y, Zhao Q, Ma Y, Jiang L, He X. Identification of Critical Genes for Ovine Horn Development Based on Transcriptome during the Embryonic Period. BIOLOGY 2023; 12:biology12040591. [PMID: 37106791 PMCID: PMC10136283 DOI: 10.3390/biology12040591] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 04/09/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023]
Abstract
Horns, also known as headgear, are a unique structure of ruminants. As ruminants are globally distributed, the study of horn formation is critical not only for increasing our understanding of natural and sexual selection but also for the breeding of polled sheep breeds to facilitate modern sheep farming. Despite this, a significant number of the underlying genetic pathways in sheep horn remain unclear. In this study, to clarify the gene expression profile of horn buds and investigate the key genes in horn bud formation, RNA-sequencing (RNA-seq) technology was utilized to investigate differential gene expression in the horn buds and adjacent forehead skin of Altay sheep fetuses. There were only 68 differentially expressed genes (DEGs) identified, consisting of 58 up-regulated genes and 10 down-regulated genes. RXFP2 was differentially up-regulated in the horn buds and had the highest significance (p-value = 7.42 × 10-14). In addition, 32 DEGs were horn-related genes identified in previous studies, such as RXFP2, FOXL2, SFRP4, SFRP2, KRT1, KRT10, WNT7B, and WNT3. Further, Gene Ontology (GO) analysis showed that the DEGs were mainly enriched with regard to growth, development, and cell differentiation. Pathway analysis revealed that the Wnt signaling pathway may be responsible for horn development. Further, through combining the protein-protein interaction networks of the DEGs, it was found that the top five hub genes, namely, ACAN, SFRP2, SFRP4, WNT3, and WNT7B, were also associated with horn development. Our results suggest that only a few key genes, including RXFP2, are involved in bud formation. This study not only validates the expression of candidate genes identified at the transcriptome level in previous studies but also provides new possible marker genes for horn development, which may promote our understanding of the genetic mechanisms of horn formation.
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Affiliation(s)
- Yuanyuan Luan
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Shangjie Wu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Mingkun Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Yabin Pu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Qianjun Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Yuehui Ma
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Lin Jiang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Xiaohong He
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
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9
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Arzik Y, Kizilaslan M, Behrem S, White SN, Piel LMW, Cinar MU. Genome-Wide Scan of Wool Production Traits in Akkaraman Sheep. Genes (Basel) 2023; 14:genes14030713. [PMID: 36980985 PMCID: PMC10048666 DOI: 10.3390/genes14030713] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/26/2022] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
The objective of this study was to uncover the genetic background of wool quality, a production trait, by estimating genomic heritability and implementing GWAS in Akkaraman sheep. The wool characteristics measured included fibre diameter (FD) and staple length (SL) at the age of 8 months and yearling fibre diameter (YFD), yearling staple length (YSL) and yearling greasy fleece weight (YGFW) at 18 months of age. Animals were genotyped using the Axiom 50 K Ovine Genotyping Array. Maximum likelihood estimations of a linear mixed model (LMM) were used to estimate genomic heritability, where GWAS was conducted following a score test of each trait. Genomic heritability estimates for the traits ranged between 0.22 and 0.63, indicating that phenotypes have a moderate range of heritability. One genome- and six chromosome-wide significant SNPs were associated with the wool traits in Akkaraman lambs. Accordingly, TRIM2, MND1, TLR2, RNF175, CEP290, TMTC3, RERE, SLC45A1, SOX2, MORN1, SKI, FAAP20, PRKCZ, GABRD, CFAP74, CALML6 and TMEM52 genes as well as nine uncharacterized regions (LOC101118971, LOC105609137, LOC105603067, LOC101122892, LOC106991694, LOC106991467, LOC106991455, LOC105616534 and LOC105609719) were defined as plausible candidates. The findings of this study shed light on the genetics of wool quality and yield for the Akkaraman breed and suggests targets for breeders during systematic breeding programmes.
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Affiliation(s)
- Yunus Arzik
- Department of Animal Science, Faculty of Agriculture, Erciyes University, 38039 Kayseri, Türkiye
- International Center for Livestock Research and Training Center, Ministry of Agriculture and Forestry, 06852 Ankara, Türkiye
| | - Mehmet Kizilaslan
- Department of Animal Science, Faculty of Agriculture, Erciyes University, 38039 Kayseri, Türkiye
- International Center for Livestock Research and Training Center, Ministry of Agriculture and Forestry, 06852 Ankara, Türkiye
- Correspondence: ; Tel.: +90-553-6725986
| | - Sedat Behrem
- Department of Animal Science, Faculty of Veterinary Medicine, Aksaray University, 68100 Aksaray, Türkiye
| | - Stephen N. White
- Department of Veterinary Microbiology & Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Lindsay M. W. Piel
- USDA-ARS Animal Disease Research 3003 ADBF, Washington State University, Pullman, WA 99164, USA
| | - Mehmet Ulas Cinar
- Department of Animal Science, Faculty of Agriculture, Erciyes University, 38039 Kayseri, Türkiye
- Department of Veterinary Microbiology & Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
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Wucherpfennig JI, Howes TR, Au JN, Au EH, Roberts Kingman GA, Brady SD, Herbert AL, Reimchen TE, Bell MA, Lowe CB, Dalziel AC, Kingsley DM. Evolution of stickleback spines through independent cis-regulatory changes at HOXDB. Nat Ecol Evol 2022; 6:1537-1552. [PMID: 36050398 PMCID: PMC9525239 DOI: 10.1038/s41559-022-01855-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/19/2022] [Indexed: 11/10/2022]
Abstract
Understanding the mechanisms leading to new traits or additional features in organisms is a fundamental goal of evolutionary biology. We show that HOXDB regulatory changes have been used repeatedly in different fish genera to alter the length and number of the prominent dorsal spines used to classify stickleback species. In Gasterosteus aculeatus (typically 'three-spine sticklebacks'), a variant HOXDB allele is genetically linked to shortening an existing spine and adding an additional spine. In Apeltes quadracus (typically 'four-spine sticklebacks'), a variant HOXDB allele is associated with lengthening a spine and adding an additional spine in natural populations. The variant alleles alter the same non-coding enhancer region in the HOXDB locus but do so by diverse mechanisms, including single-nucleotide polymorphisms, deletions and transposable element insertions. The independent regulatory changes are linked to anterior expansion or contraction of HOXDB expression. We propose that associated changes in spine lengths and numbers are partial identity transformations in a repeating skeletal series that forms major defensive structures in fish. Our findings support the long-standing hypothesis that natural Hox gene variation underlies key patterning changes in wild populations and illustrate how different mutational mechanisms affecting the same region may produce opposite gene expression changes with similar phenotypic outcomes.
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Affiliation(s)
- Julia I Wucherpfennig
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Timothy R Howes
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jessica N Au
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Eric H Au
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | | | - Shannon D Brady
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy L Herbert
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas E Reimchen
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada
| | - Michael A Bell
- University of California Museum of Paleontology, University of California, Berkeley, CA, USA
| | - Craig B Lowe
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Anne C Dalziel
- Department of Biology, Saint Mary's University, Halifax, Nova Scotia, Canada
| | - David M Kingsley
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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11
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Kalds P, Zhou S, Gao Y, Cai B, Huang S, Chen Y, Wang X. Genetics of the phenotypic evolution in sheep: a molecular look at diversity-driving genes. Genet Sel Evol 2022; 54:61. [PMID: 36085023 PMCID: PMC9463822 DOI: 10.1186/s12711-022-00753-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 08/29/2022] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND After domestication, the evolution of phenotypically-varied sheep breeds has generated rich biodiversity. This wide phenotypic variation arises as a result of hidden genomic changes that range from a single nucleotide to several thousands of nucleotides. Thus, it is of interest and significance to reveal and understand the genomic changes underlying the phenotypic variation of sheep breeds in order to drive selection towards economically important traits. REVIEW Various traits contribute to the emergence of variation in sheep phenotypic characteristics, including coat color, horns, tail, wool, ears, udder, vertebrae, among others. The genes that determine most of these phenotypic traits have been investigated, which has generated knowledge regarding the genetic determinism of several agriculturally-relevant traits in sheep. In this review, we discuss the genomic knowledge that has emerged in the past few decades regarding the phenotypic traits in sheep, and our ultimate aim is to encourage its practical application in sheep breeding. In addition, in order to expand the current understanding of the sheep genome, we shed light on research gaps that require further investigation. CONCLUSIONS Although significant research efforts have been conducted in the past few decades, several aspects of the sheep genome remain unexplored. For the full utilization of the current knowledge of the sheep genome, a wide practical application is still required in order to boost sheep productive performance and contribute to the generation of improved sheep breeds. The accumulated knowledge on the sheep genome will help advance and strengthen sheep breeding programs to face future challenges in the sector, such as climate change, global human population growth, and the increasing demand for products of animal origin.
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Affiliation(s)
- Peter Kalds
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
- Department of Animal and Poultry Production, Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, 45511 Egypt
| | - Shiwei Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100 China
| | - Yawei Gao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
| | - Bei Cai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
| | - Shuhong Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
| | - Yulin Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100 China
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs, Yangling, 712100 China
| | - Xiaolong 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
- International Joint Agriculture Research Center for Animal Bio-Breeding, Ministry of Agriculture and Rural Affairs, Yangling, 712100 China
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12
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Wang ZH, Zhu QH, Li X, Zhu JW, Tian DM, Zhang SS, Kang HL, Li CP, Dong LL, Zhao WM, Li MH. iSheep: an Integrated Resource for Sheep Genome, Variant and Phenotype. Front Genet 2021; 12:714852. [PMID: 34490043 PMCID: PMC8418083 DOI: 10.3389/fgene.2021.714852] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 07/23/2021] [Indexed: 12/15/2022] Open
Affiliation(s)
- Zhong-Huang Wang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Qiang-Hui Zhu
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China.,CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Xin Li
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China.,CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun-Wei Zhu
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China
| | - Dong-Mei Tian
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China
| | - Si-Si Zhang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China
| | - Hai-Long Kang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Cui-Ping Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China
| | - Li-Li Dong
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China
| | - Wen-Ming Zhao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Meng-Hua Li
- College of Animal Science and Technology, China Agricultural University, Beijing, China
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13
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Allais-Bonnet A, Hintermann A, Deloche MC, Cornette R, Bardou P, Naval-Sanchez M, Pinton A, Haruda A, Grohs C, Zakany J, Bigi D, Medugorac I, Putelat O, Greyvenstein O, Hadfield T, Jemaa SB, Bunevski G, Menzi F, Hirter N, Paris JM, Hedges J, Palhiere I, Rupp R, Lenstra JA, Gidney L, Lesur J, Schafberg R, Stache M, Wandhammer MD, Arbogast RM, Guintard C, Blin A, Boukadiri A, Rivière J, Esquerré D, Donnadieu C, Danchin-Burge C, Reich CM, Riley DG, Marle-Koster EV, Cockett N, Hayes BJ, Drögemüller C, Kijas J, Pailhoux E, Tosser-Klopp G, Duboule D, Capitan A. Analysis of Polycerate Mutants Reveals the Evolutionary Co-option of HOXD1 for Horn Patterning in Bovidae. Mol Biol Evol 2021; 38:2260-2272. [PMID: 33528505 PMCID: PMC8136503 DOI: 10.1093/molbev/msab021] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
In the course of evolution, pecorans (i.e., higher ruminants) developed a remarkable diversity of osseous cranial appendages, collectively referred to as “headgear,” which likely share the same origin and genetic basis. However, the nature and function of the genetic determinants underlying their number and position remain elusive. Jacob and other rare populations of sheep and goats are characterized by polyceraty, the presence of more than two horns. Here, we characterize distinct POLYCERATE alleles in each species, both associated with defective HOXD1 function. We show that haploinsufficiency at this locus results in the splitting of horn bud primordia, likely following the abnormal extension of an initial morphogenetic field. These results highlight the key role played by this gene in headgear patterning and illustrate the evolutionary co-option of a gene involved in the early development of bilateria to properly fix the position and number of these distinctive organs of Bovidae.
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Affiliation(s)
- Aurélie Allais-Bonnet
- ALLICE, Paris, France.,Université Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France.,Ecole Nationale Vétérinaire d'Alfort, BREED, Maisons-Alfort, France
| | - Aurélie Hintermann
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
| | - Marie-Christine Deloche
- ALLICE, Paris, France.,Université Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France.,Ecole Nationale Vétérinaire d'Alfort, BREED, Maisons-Alfort, France
| | - Raphaël Cornette
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - Philippe Bardou
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet-Tolosan, France.,INRAE, Sigenae, Castanet-Tolosan, France
| | | | - Alain Pinton
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet-Tolosan, France
| | - Ashleigh Haruda
- Central Natural Science Collections, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Cécile Grohs
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Jozsef Zakany
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
| | - Daniele Bigi
- Dipartimento di Scienza e Tecnologie Agro-Alimentari, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Ivica Medugorac
- Population Genomics Group, Department of Veterinary Sciences, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Olivier Putelat
- Archéologie Alsace, Sélestat, France.,UMR 7044, ARCHIMEDE, MISHA, Strasbourg, France
| | - Ockert Greyvenstein
- Department of Animal Science, Texas A&M University, College Station, TX, USA
| | - Tracy Hadfield
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, UT, USA
| | - Slim Ben Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana, Tunisia
| | - Gjoko Bunevski
- Livestock Department, Faculty of Agricultural Sciences and Food Institute of Animal Biotechnology, University Ss. Cyril and Methodius, Skopje, North Macedonia
| | - Fiona Menzi
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Nathalie Hirter
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Julia M Paris
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - John Hedges
- Manx Loaghtan Sheep Breeders' Group, Bassingbourn, Cambridgeshire, United Kingdom
| | - Isabelle Palhiere
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet-Tolosan, France
| | - Rachel Rupp
- GenPhySE, Université de Toulouse, INRAE, ENVT, Castanet-Tolosan, France
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Louisa Gidney
- Rent a Peasant, Tow Law, Bishop Auckland, Durham County, United Kingdom
| | - Joséphine Lesur
- Unité Archéozoologie, Archéobotanique, Sociétés Pratiques et Environnements (AASPE), CNRS, Muséum National d'Histoire Naturelle, Paris, France
| | - Renate Schafberg
- Central Natural Science Collections, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Michael Stache
- Central Natural Science Collections, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | | | | | - Claude Guintard
- Unité d'Anatomie Comparée, Ecole Nationale Vétérinaire de l'Agroalimentaire et de l'Alimentation, Nantes Atlantique-ONIRIS, Nantes, France.,Groupe d'Études Remodelage Osseux et bioMatériaux (GEROM), Université d'Angers, Unité INSERM 922, LHEA/IRIS-IBS, CHU d'Angers, Angers, France
| | - Amandine Blin
- Muséum National d'Histoire Naturelle, CNRS, UMS 2700 2AD, Paris, France
| | - Abdelhak Boukadiri
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Julie Rivière
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.,INRAE, Micalis Institute, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Diane Esquerré
- INRAE, US, 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, France
| | | | | | - Coralie M Reich
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | - David G Riley
- Department of Animal Science, Texas A&M University, College Station, TX, USA
| | | | - Noelle Cockett
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, UT, USA
| | - Benjamin J Hayes
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Animal Science, University of Queensland, St. Lucia, QLD, Australia
| | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - James Kijas
- CSIRO Agriculture & Food, St. Lucia, QLD, Australia
| | - Eric Pailhoux
- Université Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France.,Ecole Nationale Vétérinaire d'Alfort, BREED, Maisons-Alfort, France
| | | | - Denis Duboule
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.,Swiss Cancer Research Institute, EPFL, Lausanne, Switzerland.,Collège de France, Paris, France
| | - Aurélien Capitan
- ALLICE, Paris, France.,Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
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14
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Salehian-Dehkordi H, Xu YX, Xu SS, Li X, Luo LY, Liu YJ, Wang DF, Cao YH, Shen M, Gao L, Chen ZH, Glessner JT, Lenstra JA, Esmailizadeh A, Li MH, Lv FH. Genome-Wide Detection of Copy Number Variations and Their Association With Distinct Phenotypes in the World's Sheep. Front Genet 2021; 12:670582. [PMID: 34093663 PMCID: PMC8175073 DOI: 10.3389/fgene.2021.670582] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/31/2021] [Indexed: 11/19/2022] Open
Abstract
Copy number variations (CNVs) are a major source of structural variation in mammalian genomes. Here, we characterized the genome-wide CNV in 2059 sheep from 67 populations all over the world using the Ovine Infinium HD (600K) SNP BeadChip. We tested their associations with distinct phenotypic traits by conducting multiple independent genome-wide tests. In total, we detected 7547 unique CNVs and 18,152 CNV events in 1217 non-redundant CNV regions (CNVRs), covering 245 Mb (∼10%) of the whole sheep genome. We identified seven CNVRs with frequencies correlating to geographical origins and 107 CNVRs overlapping 53 known quantitative trait loci (QTLs). Gene ontology and pathway enrichment analyses of CNV-overlapping genes revealed their common involvement in energy metabolism, endocrine regulation, nervous system development, cell proliferation, immune, and reproduction. For the phenotypic traits, we detected significantly associated (adjusted P < 0.05) CNVRs harboring functional candidate genes, such as SBNO2 for polycerate; PPP1R11 and GABBR1 for tail weight; AKT1 for supernumerary nipple; CSRP1, WNT7B, HMX1, and FGFR3 for ear size; and NOS3 and FILIP1 in Wadi sheep; SNRPD3, KHDRBS2, and SDCCAG3 in Hu sheep; NOS3, BMP1, and SLC19A1 in Icelandic; CDK2 in Finnsheep; MICA in Romanov; and REEP4 in Texel sheep for litter size. These CNVs and associated genes are important markers for molecular breeding of sheep and other livestock species.
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Affiliation(s)
- Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Ya-Xi Xu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Song-Song Xu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Xin Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Ling-Yun Luo
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ya-Jing Liu
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Yin-Hong Cao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Min Shen
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Lei Gao
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China
| | - Ze-Hui Chen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Joseph T Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Ali Esmailizadeh
- Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Meng-Hua Li
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Feng-Hua Lv
- College of Animal Science and Technology, China Agricultural University, Beijing, China
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15
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Gebreselassie G, Berihulay H, Jiang L, Ma Y. Review on Genomic Regions and Candidate Genes Associated with Economically Important Production and Reproduction Traits in Sheep ( Ovies aries). Animals (Basel) 2019; 10:E33. [PMID: 31877963 PMCID: PMC7022721 DOI: 10.3390/ani10010033] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/24/2019] [Accepted: 12/20/2019] [Indexed: 12/15/2022] Open
Abstract
Sheep (Ovis aries) is one of the most economically, culturally, and socially important domestic animals. They are reared primarily for meat, milk, wool, and fur production. Sheep were reared using natural selection for a long period of time to offer these traits. In fact, this production system has been slowing the productivity and production potential of the sheep. To improve production efficiency and productivity of this animal through genetic improvement technologies, understanding the genetic background of traits such as body growth, weight, carcass quality, fat percent, fertility, milk yield, wool quality, horn type, and coat color is essential. With the development and utilization of animal genotyping technologies and gene identification methods, many functional genes and genetic variants associated with economically important phenotypic traits have been identified and annotated. This is useful and presented an opportunity to increase the pace of animal genetic gain. Quantitative trait loci and genome wide association study have been playing an important role in identifying candidate genes and animal characterization. This review provides comprehensive information on the identified genomic regions and candidate genes associated with production and reproduction traits, and gene function in sheep.
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Affiliation(s)
- Gebremedhin Gebreselassie
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
- Department of Agricultural Biotechnology, Biotechnology Center, Ethiopian Biotechnology Institute, Ministry of Innovation and Technology, Addis Ababa 1000, Ethiopia
| | - Haile Berihulay
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Lin Jiang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
| | - Yuehui Ma
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (G.G.); (H.B.); (L.J.)
- National Germplasm Center of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China
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16
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Di Gerlando R, Sutera AM, Mastrangelo S, Tolone M, Portolano B, Sottile G, Bagnato A, Strillacci MG, Sardina MT. Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep. PLoS One 2019; 14:e0215204. [PMID: 31013280 PMCID: PMC6478285 DOI: 10.1371/journal.pone.0215204] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 03/28/2019] [Indexed: 11/19/2022] Open
Abstract
Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 CNVRs after aggregating overlapping CNVs. Thirty-one CNVRs were significantly associated with one or more traits included in the analysis. All CNVRs, except those on OAR19, overlapped with quantitative trait loci (QTL), even if they were not directly related to the traits of interest. A total of 222 genes were annotated within the significantly associated CNVRs, most of which played important roles in biological processes related to milk production and health-related traits. Identification of the genes in the CNVRs associated with the studied traits will provide the basis for further investigation of their role in the metabolic pathways related to milk production and health traits.
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Affiliation(s)
- Rosalia Di Gerlando
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Anna Maria Sutera
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Salvatore Mastrangelo
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Marco Tolone
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Baldassare Portolano
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Gianluca Sottile
- Università degli Studi di Palermo, Dipartimento di Scienze Economiche, Aziendali e Statistiche, Italy
| | - Alessandro Bagnato
- Università degli Studi di Milano, Dipartimento di Medicina Veterinaria, Italy
| | | | - Maria Teresa Sardina
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
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17
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Peng WF, Xu SS, Ren X, Lv FH, Xie XL, Zhao YX, Zhang M, Shen ZQ, Ren YL, Gao L, Shen M, Kantanen J, Li MH. A genome-wide association study reveals candidate genes for the supernumerary nipple phenotype in sheep (Ovis aries). Anim Genet 2017; 48:570-579. [PMID: 28703336 DOI: 10.1111/age.12575] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2017] [Indexed: 01/20/2023]
Abstract
Genome-wide association studies (GWASs) have been widely applied in livestock to identify genes associated with traits of economic interest. Here, we conducted the first GWAS of the supernumerary nipple phenotype in Wadi sheep, a native Chinese sheep breed, based on Ovine Infinium HD SNP BeadChip genotypes in a total of 144 ewes (75 cases with four teats, including two normal and two supernumerary teats, and 69 control cases with two teats). We detected 63 significant SNPs at the chromosome-wise threshold. Additionally, one candidate region (chr1: 170.723-170.734 Mb) was identified by haplotype-based association tests, with one SNP (rs413490006) surrounding functional genes BBX and CD47 on chromosome 1 being commonly identified as significant by the two mentioned analyses. Moreover, Gene Ontology enrichment for the significant SNPs identified by the GWAS analysis was functionally clustered into the categories of receptor activity and synaptic membrane. In addition, pathway mapping revealed four promising pathways (Wnt, oxytocin, MAPK and axon guidance) involved in the development of the supernumerary nipple phenotype. Our results provide novel and important insights into the genetic mechanisms underlying the phenotype of supernumerary nipples in mammals, including humans. These findings may be useful for future breeding and genetics in sheep and other livestock.
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Affiliation(s)
- W-F Peng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - S-S Xu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - X Ren
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,Annoroad Gene Technology Co. Ltd, Beijing, 100176, China
| | - F-H Lv
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
| | - X-L Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Y-X Zhao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - M Zhang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.,School of Life Sciences, University of Science and Technology of China, Hefei, 230027, China
| | - Z-Q Shen
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou, 256600, China
| | - Y-L Ren
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou, 256600, China
| | - L Gao
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.,State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China
| | - M Shen
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China.,State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China
| | - J Kantanen
- Green Technology, Natural Resources Institute Finland (Luke), Jokioinen, 31600, Finland.,Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, 70211, Finland
| | - M-H Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
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Seroussi E, Rosov A, Shirak A, Lam A, Gootwine E. Unveiling genomic regions that underlie differences between Afec-Assaf sheep and its parental Awassi breed. Genet Sel Evol 2017; 49:19. [PMID: 28187715 PMCID: PMC5301402 DOI: 10.1186/s12711-017-0296-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 02/06/2017] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Sheep production in Israel has improved by crossing the fat-tailed local Awassi breed with the East Friesian and later, with the Booroola Merino breed, which led to the formation of the highly prolific Afec-Assaf strain. This strain differs from its parental Awassi breed in morphological traits such as tail and horn size, coat pigmentation and wool characteristics, as well as in production, reproductive and health traits. To identify major genes associated with the formation of the Afec-Assaf strain, we genotyped 41 Awassi and 141 Afec-Assaf sheep using the Illumina Ovine SNP50 BeadChip array, and analyzed the results with PLINK and EMMAX software. The detected variable genomic regions that differed between Awassi and Afec-Assaf sheep (variable genomic regions; VGR) were compared to selection signatures that were reported in 48 published genome-wide association studies in sheep. Because the Afec-Assaf strain, but not the Awassi breed, carries the Booroola mutation, association analysis of BMPR1B used as the test gene was performed to evaluate the ability of this study to identify a VGR that includes such a major gene. RESULTS Of the 20 detected VGR, 12 were novel to this study. A ~7-Mb VGR was identified on Ovies aries chromosome OAR6 where the Booroola mutation is located. Similar to other studies, the most significant VGR was detected on OAR10, in a region that contains candidate genes affecting horn type (RXFP2), climate adaptation (ALOX5AP), fiber diameter (KATNAl1), coat pigmentation (FRY) and genes associated with fat distribution. The VGR on OAR2 included BNC2, which is also involved in controlling coat pigmentation in sheep. Six other VGR contained genes that were shown to be involved in coat pigmentation by analyzing their mammalian orthologues. Genes associated with fat distribution in humans, including GRB14 and COBLL1, were located in additional VGR. Sequencing DNA from Awassi and Afec-Assaf individuals revealed non-synonymous mutations in some of these candidate genes. CONCLUSIONS Our results highlight VGR that differentiate the Awassi breed from the Afec-Assaf strain, some of which may include genes that confer an advantage to Afec-Assaf and Assaf over Awassi sheep with respect to intensive sheep production under Mediterranean conditions.
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Affiliation(s)
- Eyal Seroussi
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Alexander Rosov
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Andrey Shirak
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Alon Lam
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
| | - Elisha Gootwine
- Institute of Animal Science, ARO, The Volcani Center, PO Box 15159, 7528809 Rishon LeZion, Israel
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He X, Zhou Z, Pu Y, Chen X, Ma Y, Jiang L. Mapping the four-horned locus and testing the polled locus in three Chinese sheep breeds. Anim Genet 2016; 47:623-7. [PMID: 27427781 DOI: 10.1111/age.12464] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2016] [Indexed: 01/06/2023]
Abstract
Four-horned sheep are an ideal animal model for illuminating the genetic basis of horn development. The objective of this study was to locate the genetic region responsible for the four-horned phenotype and to verify a previously reported polled locus in three Chinese breeds. A genome-wide association study (GWAS) was performed using 34 two-horned and 32 four-horned sheep from three Chinese indigenous breeds: Altay, Mongolian and Sishui Fur sheep. The top two significant single nucleotide polymorphisms (SNPs) associated with the four-horned phenotype were both located in a region spanning positions 132.6 to 132.7 Mb on sheep chromosome 2. Similar locations for the four-horned trait were previously identified in Jacob, Navajo-Churro, Damara and Sishui Fur sheep, suggesting a common genetic component underlying the four-horned phenotype. The two identified SNPs were both downstream of the metaxin 2 (MTX2) gene and the HOXD gene cluster. For the top SNP-OAR2:g.132619300G>A-the strong associations of the AA and AG genotypes with the four-horned phenotype and the GG genotype with the two-horned phenotype indicated the dominant inheritance of the four-horned trait. No significant SNPs for the polled phenotype were identified in the GWAS analysis, and a PCR analysis for the detection of the 1.8-kb insertion associated with polled sheep in other breeds failed to verify the association with polledness in the three Chinese breeds. This study supports the hypothesis that two different loci are responsible for horn existence and number. This study contributes to the understanding of the molecular regulation of horn development and enriches the knowledge of qualitative traits in domestic animals.
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Affiliation(s)
- Xiaohong He
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Zhengkui Zhou
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Yabin Pu
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Xiaofei Chen
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China
| | - Yuehui Ma
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China. .,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
| | - Lin Jiang
- Key Laboratory for Farm Animal Genetic Resources and Utilization of the Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China. .,CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, 100193, China.
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