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A V, Kumar A, Mahala S, Chandra Janga S, Chauhan A, Mehrotra A, Kumar De A, Ranjan Sahu A, Firdous Ahmad S, Vempadapu V, Dutt T. Revelation of genetic diversity and genomic footprints of adaptation in Indian pig breeds. Gene 2024; 893:147950. [PMID: 37918549 DOI: 10.1016/j.gene.2023.147950] [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: 08/04/2023] [Revised: 10/16/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023]
Abstract
In the present study, the genetic diversity measures among four Indian domestic breeds of pig namely Agonda Goan, Ghurrah, Ghungroo, and Nicobari, of different agro-climatic regions of country were explored and compared with European commercial breeds, European wild boar and Chinese domestic breeds. The double digest restriction site-associated DNA sequencing (ddRADseq) data of Indian pigs (102) and Landrace (10 animals) were generated and whole genome sequencing data of exotic pigs (60 animals) from public data repository were used in the study. The principal component analysis (PCA), admixture analysis and phylogenetic analysis revealed that Indian breeds were closer in ancestry to Chinese breeds than European breeds. European breeds exhibited highest genetic diversity measures among all the considered breeds. Among Indian breeds, Agonda Goan and Ghurrah were found to be more genetically diverse than Nicobari and Ghungroo. The selection signature regions in Indian pigs were explored using iHS and XP-EHH, and during iHS analysis, it was observed that genes related to growth, reproduction, health, meat quality, sensory perception and behavior were found to be under selection pressure in Indian pig breeds. Strong selection signatures were recorded in 24.25-25.25 Mb region of SSC18, 123.25-124 Mb region of SSC15 and 118.75-119.5 Mb region of SSC2 in most of the Indian breeds upon pairwise comparison with European commercial breeds using XP-EHH. These regions were harboring some important genes such as EPHA4 for thermotolerance, TAS2R16, FEZF1, CADPS2 and PTPRZ1 for adaptability to scavenging system of rearing, TRIM36 and PGGT1B for disease resistance and CCDC112, PIAS1, FEM1B and ITGA11 for reproduction.
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Affiliation(s)
- Vani A
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Amit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India.
| | - Sudarshan Mahala
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Sarath Chandra Janga
- Luddy School of Informatics, Computing, and Engineering, Indiana University, IUPUI, Indianapolis, IN, USA
| | - Anuj Chauhan
- Livestock Production and Management, Indian Veterinary Research Institute, Bareilly, UP, India
| | | | - Arun Kumar De
- Central Island Agricultural Research Institute, Port Blair, Andaman and Nicobar Islands, India
| | - Amiya Ranjan Sahu
- Central Coastal Agricultural Research Institute, Old Goa, Goa, India
| | - Sheikh Firdous Ahmad
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Varshini Vempadapu
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, UP, India
| | - Triveni Dutt
- Livestock Production and Management, Indian Veterinary Research Institute, Bareilly, UP, India
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Liu C, Huang R, Su G, Hou L, Zhou W, Liu Q, Qiu Z, Zhao Q, Li P. Introgression of pigs in Taihu Lake region possibly contributed to the improvement of fertility in Danish Large White pigs. BMC Genomics 2023; 24:733. [PMID: 38049711 PMCID: PMC10694980 DOI: 10.1186/s12864-023-09860-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: 10/05/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Eurasian pigs have undergone lineage admixture throughout history. It has been confirmed that the genes of indigenous pig breeds in China have been introduced into Western commercial pigs, providing genetic materials for breeding Western pigs. Pigs in Taihu Lake region (TL), such as the Meishan pig and Erhualian pig, serve as typical representatives of indigenous pig breeds in China due to their high reproductive performances. These pigs have also been imported into European countries in 1970 and 1980 s. They have played a positive role in improving the reproductive performances in European commercial pigs such as French Large White pigs (FLW). However, it is currently unclear if the lineage of TL pigs have been introgressed into the Danish Large White pigs (DLW), which are also known for their high reproductive performances in European pigs. To systematically identify genomic regions in which TL pigs have introgressed into DLW pigs and their physiological functions, we collected the re-sequencing data from 304 Eurasian pigs, to identify shared haplotypes between DLW and TL pigs. RESULTS The findings revealed the presence of introgressed genomic regions from TL pigs in the genome of DLW pigs indeed. The genes annotated within these regions were found to be mainly enriched in neurodevelopmental pathways. Furthermore, we found that the 115 kb region located in SSC16 exhibited highly shared haplotypes between TL and DLW pigs. The major haplotype of TL pigs in this region could significantly improve reproductive performances in various pig populations. Around this genomic region, NDUFS4 gene was highly expressed and showed differential expression in multiple reproductive tissues between extremely high and low farrowing Erhualian pigs. This suggested that NDUFS4 gene could be an important candidate causal gene responsible for affecting the reproductive performances of DLW pigs. CONCLUSIONS Our study has furthered our knowledge of the pattern of introgression from TL into DLW pigs and the potential effects on the fertility of DLW pigs.
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Affiliation(s)
- Chenxi Liu
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Ruihua Huang
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Guosheng Su
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, DK-8000, Denmark
| | - Liming Hou
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Wuduo Zhou
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Qian Liu
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Zijian Qiu
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China
| | - Qingbo Zhao
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China.
| | - Pinghua Li
- Institute of Swine Science (Key Laboratory of Pig Genetic Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs (Nanjing)), Nanjing Agricultural University, Nanjing, 210095, China.
- Huaian Academy, Nanjing Agricultural University, Huaian, 223001, China.
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Peng Y, Cai X, Wang Y, Liu Z, Zhao Y. Genome‐wide analysis suggests multiple domestication events of Chinese local pigs. Anim Genet 2022; 53:293-306. [DOI: 10.1111/age.13183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 02/12/2022] [Accepted: 02/12/2022] [Indexed: 01/02/2023]
Affiliation(s)
- Yebo Peng
- State Key Laboratory of Agrobiotechnology College of Biological Sciences China Agricultural University Beijing China
| | - Xinyu Cai
- State Key Laboratory of Agrobiotechnology College of Biological Sciences China Agricultural University Beijing China
| | - Yuzhan Wang
- State Key Laboratory of Agrobiotechnology College of Biological Sciences China Agricultural University Beijing China
| | - Zexuan Liu
- State Key Laboratory of Agrobiotechnology College of Biological Sciences China Agricultural University Beijing China
| | - Yiqiang Zhao
- State Key Laboratory of Agrobiotechnology College of Biological Sciences China Agricultural University Beijing China
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Genomic Scan for Selection Signature Reveals Fat Deposition in Chinese Indigenous Sheep with Extreme Tail Types. Animals (Basel) 2020; 10:ani10050773. [PMID: 32365604 PMCID: PMC7278473 DOI: 10.3390/ani10050773] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 02/03/2023] Open
Abstract
Simple Summary According to the tail types, sheep can be briefly classified into three groups (fat-tailed, fat-rumped, and thin-tailed sheep). In this study, we used these three typical breeds from Chinese indigenous sheep breeds to perform a genome scan for selective sweeps using Ovine Infinium HD SNP BeadChip genotype data. Results showed that 25 genomic regions exhibited selection signals and harbored 73 positional candidate genes. These genes were documented not only to be associated with tail fat formation, but also be related to reproduction, body conformation, and appearance. Our findings contributed to understanding genetic basis of fat deposition in sheep tail and provide a reference for developing new sheep breeds with an ideal tail type. Abstract It is a unique feature that fat can be deposited in sheep tails and rumps. To elucidate the genetic mechanism underlying this trait, we collected 120 individuals from three Chinese indigenous sheep breeds with extreme tail types, namely large fat-tailed sheep (n = 40), Altay sheep (n = 40), and Tibetan sheep (n = 40), and genotyped them using the Ovine Infinium HD SNP BeadChip. Then genomic scan for selection signatures was performed using the hapFLK. In total, we identified 25 genomic regions exhibiting evidence of having been under selection. Bioinformatic analysis of the genomic regions showed that selection signatures related to multiple candidate genes had a demonstrated role in phenotypic variation. Nine genes have documented association with sheep tail types, including WDR92, TBX12, WARS2, BMP2, VEGFA, PDGFD, HOXA10, ALX4, and ETAA1. Moreover, a number of genes were of particular interest, including RXFP2 associated with the presence/absence and morphology of horns; MITF involved in coat color; LIN52 and SYNDIG1L related to the number of teats; MSRB3 gene associated with ear sizes; LTBP2 considered as a positional candidate genes for number of ribs; JAZF1 regulating lipid metabolism; PGRMC2, SPAG17, TSHR, GTF2A1, and LARP1B implicated with reproductive traits. Our findings provide insights into fat tail formation and a reference for carrying out molecular breeding and conservation in sheep.
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Huang M, Yang B, Chen H, Zhang H, Wu Z, Ai H, Ren J, Huang L. The fine-scale genetic structure and selection signals of Chinese indigenous pigs. Evol Appl 2020; 13:458-475. [PMID: 31993089 PMCID: PMC6976964 DOI: 10.1111/eva.12887] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/14/2019] [Accepted: 10/17/2019] [Indexed: 01/24/2023] Open
Abstract
Genome-wide SNP profiling has yielded insights into the genetic structure of China indigenous pigs, but has focused on a limited number of populations. Here, we present an analysis of population structure and signals of positive selection in 42 Chinese pig populations that represent the most extensive pig phenotypic diversity in China, using genotype data of 1.1 million SNPs on customized Beadchips. This unravels the fine-scale genetic diversity, phylogenic relationships, and population structure of these populations, which shows remarkably concordance between genetic clusters and geography with few exceptions. We also reveal the genetic contribution to North Chinese pigs from European modern pigs. Furthermore, we identify possible targets of selection in the Tibetan pig, including the well-characterized hypoxia gene (EPAS1) and several previously unrecognized candidates. Intriguingly, the selected haplotype in the EPAS1 gene is associated with higher hemoglobin contents in Tibetan pigs, which is different from the protective role of EPAS1 in the high-altitude adaptation in Tibetan dogs and their owners. Additionally, we present evidence for the causality between EDNRB variants and the two-end-black (TEB) coat color phenotype in all Chinese pig populations except the Jinhua pig. We hypothesize that distinct targets have been independently selected for the formation of the TEB phenotype in Chinese pigs of different geographic origins. This highlights the importance of characterizing population-specific genetic determinants for heritable phenotype in diverse pig populations.
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Affiliation(s)
- Min Huang
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Bin Yang
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Hao Chen
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Hui Zhang
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Zhongping Wu
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Huashui Ai
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
| | - Jun Ren
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
- Present address:
College of Animal ScienceSouth China Agricultural UniversityGuangzhouChina
| | - Lusheng Huang
- State Key Laboratory of Pig Genetic Improvement and Production TechnologyJiangxi Agricultural UniversityNanchangChina
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