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Nowak B, Mucha A, Zatoń-Dobrowolska M, Chrostowski G, Kruszyński W. Genetic basis of sow hyperprolificacy and litter size optimization based on a genome-wide association study. Theriogenology 2024; 218:119-125. [PMID: 38325148 DOI: 10.1016/j.theriogenology.2024.01.035] [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: 08/30/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 02/09/2024]
Abstract
Over the last few decades, there has been a constant increase in sow litter size, the consequences of which include parturition duration extension, an increase in the percentage of stillborn and hypoxic piglets, and increased variation in piglet birth weight, which reduces their vitality. As such, it seems clear that further increasing sow fertility will generate difficulties and costs in rearing numerous litters with low birth weights. Therefore, the current study aimed to analyze the genetic background of sow hyperprolifcacy using a genome-wide association study (GWAS). The research included 144 sows in the maternal component, divided into two equal groups. The first group (control) consisted of females giving birth to the optimal number of piglets in their third and fourth litters (14-16), while the second group (cases) included those with excessive litter size (>16). The analyzed sows were genotyped using Illumina's PorcineSNP60v2 BeadChip microarray, comprising 64,232 single nucleotide polymorphisms (SNPs). Statistical analysis using R included quality control of genotyping data and GWAS analysis based on five logistic regression models (dominant, codominant, overdominant, recessive, and log-additive) with a single SNP marker as the explanatory variable. On this basis, one SNP (SIRI0000069) was identified on chromosome seven within the EFCAB11 (EF-hand calcium binding domain 11) gene that had a statistically significant effect on sow hyperprolificacy. Additionally, ten SNPs (INRA0007631, ALGA0011600, ALGA0043433, ALGA0043428, M1GA0010535 ALGA00443338, ALGA0087116, MARC0056787, ALGA0112928, and ALGA0089047) had a relationship with the analyzed feature at a level close to significance, set at 1-5. These SNPs appear important since they are located on chromosomes on which a large number of quantitative trait loci (QTLs) and SNPs associated with reproductive characteristics, including litter size, have been identified.
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Affiliation(s)
- Błażej Nowak
- Department of Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, 51-631, Wrocław, Poland.
| | - Anna Mucha
- Department of Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, 51-631, Wrocław, Poland
| | - Magdalena Zatoń-Dobrowolska
- Department of Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, 51-631, Wrocław, Poland
| | - Grzegorz Chrostowski
- Department of Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, 51-631, Wrocław, Poland
| | - Wojciech Kruszyński
- Department of Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, 51-631, Wrocław, Poland
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Wang Z, Zhong Z, Xie X, Wang F, Pan D, Wang Q, Pan Y, Xiao Q, Tan Z. Detection of Runs of Homozygosity and Identification of Candidate Genes in the Whole Genome of Tunchang Pigs. Animals (Basel) 2024; 14:201. [PMID: 38254370 PMCID: PMC10812771 DOI: 10.3390/ani14020201] [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: 11/03/2023] [Revised: 12/23/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024] Open
Abstract
Tunchang pigs are an indigenous pig population in China known for their high tolerance to roughage, delicious meat, and fecundity. However, the number of Tunchang pigs has been declining due to the influence of commercial breeds and African swine fever, which could potentially lead to inbreeding. To assess the inbreeding level and the genetic basis of important traits in Tunchang pigs, our research investigated the patterns in "runs of homozygosity" (ROHs) using whole genome resequencing data from 32 Tunchang pigs. The study aimed to determine the length, number, coverage, and distribution model of ROHs in Tunchang pigs, as well as genomic regions with high ROH frequencies. The results of the study revealed that a total of 20,499,374 single-nucleotide polymorphisms (SNPs) and 1953 ROH fragments were recognized in 32 individuals. The ROH fragments in Tunchang pigs were predominantly short, ranging from 0.5 to 1 megabases (Mb) in length. Furthermore, the coverage of ROHs varied across chromosomes, with chromosome 3 having the highest coverage and chromosome 11 having the lowest coverage. The genetic diversity of Tunchang pigs was found to be relatively high based on the values of HE (expected heterozygosity), HO (observed heterozygosity), pi (nucleotide diversity), Ne (effective population size), and MAF (minor allele frequency). The average inbreeding coefficients of Tunchang pigs, as determined by three different methods (FHOM, FGRM, and FROH), were 0.019, 0.0138, and 0.0304, respectively. These values indicate that the level of inbreeding in Tunchang pigs is currently low. Additionally, the study identified a total of 13 ROH islands on all chromosomes, which in total contained 38,913 SNPs and 120 genes. These ROH islands included genes associated with economically important traits, including meat quality (GYS1, PHLPP1, SLC27A5, and CRTC1), growth and development (ANKS1A, TAF11, SPDEF, LHB, and PACSIN1), and environmental adaptation (SLC26A7). The findings of this research offer valuable perspectives on the present status of Tunchang pig resources and offer a reference for breeding conservation plans and the efficient utilization of Tunchang pigs in the future. By understanding the inbreeding level and genetic basis of important traits in Tunchang pigs, conservation efforts can be targeted towards maintaining genetic diversity and promoting the sustainable development of this indigenous pig population.
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Affiliation(s)
- Ziyi Wang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Ziqi Zhong
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Xinfeng Xie
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Feifan Wang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Deyou Pan
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Qishan Wang
- Hainan Yazhou Bay Seed Laboratory, Yongyou Industrial Park, Yazhou Bay Sci-Tech City, Sanya 572025, China
- Department of Animal Science, College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Yuchun Pan
- Hainan Yazhou Bay Seed Laboratory, Yongyou Industrial Park, Yazhou Bay Sci-Tech City, Sanya 572025, China
- Department of Animal Science, College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Qian Xiao
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
| | - Zhen Tan
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China; (Z.W.)
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Feng X, Diao S, Liu Y, Xu Z, Li G, Ma Y, Su Z, Liu X, Li J, Zhang Z. Exploring the mechanism of artificial selection signature in Chinese indigenous pigs by leveraging multiple bioinformatics database tools. BMC Genomics 2023; 24:743. [PMID: 38053015 DOI: 10.1186/s12864-023-09848-7] [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: 02/23/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Chinese indigenous pigs in Yunnan exhibit considerable phenotypic diversity, but their population structure and the biological interpretation of signatures of artificial selection require further investigation. To uncover population genetic diversity, migration events, and artificial selection signatures in Chinese domestic pigs, we sampled 111 Yunnan pigs from four breeds in Yunnan which is considered to be one of the centres of livestock domestication in China, and genotyped them using Illumina Porcine SNP60K BeadChip. We then leveraged multiple bioinformatics database tools to further investigate the signatures and associated complex traits. RESULTS Population structure and migration analyses showed that Diannanxiaoer pigs had different genetic backgrounds from other Yunnan pigs, and Gaoligongshan may undergone the migration events from Baoshan and Saba pigs. Intriguingly, we identified a possible common target of sharing artificial selection on a 265.09 kb region on chromosome 5 in Yunnan indigenous pigs, and the genes on this region were associated with cardiovascular and immune systems. We also detected several candidate genes correlated with dietary adaptation, body size (e.g., PASCIN1, GRM4, ITPR2), and reproductive performance. In addition, the breed-sharing gene MMP16 was identified to be a human-mediated gene. Multiple lines of evidence at the mammalian genome, transcriptome, and phenome levels further supported the evidence for the causality between MMP16 variants and the metabolic diseases, brain development, and cartilage tissues in Chinese pigs. Our results suggested that the suppression of MMP16 would directly lead to inactivity and insensitivity of neuronal activity and skeletal development in Chinese indigenous pigs. CONCLUSION In this study, the population genetic analyses and identification of artificial selection signatures of Yunnan indigenous pigs help to build an understanding of the effect of human-mediated selection mechanisms on phenotypic traits in Chinese indigenous pigs. Further studies are needed to fully characterize the process of human-mediated genes and biological mechanisms.
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Affiliation(s)
- Xueyan Feng
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Shuqi Diao
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yuqiang Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhiting Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Guangzhen Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Ye Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Zhanqin Su
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Jiaqi Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
| | - Zhe Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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Leng D, Ge L, Sun J. Characterization analysis of Rongchang pig population based on the Zhongxin-1 Porcine Breeding Array PLUS. Anim Biosci 2023; 36:1508-1516. [PMID: 37402459 PMCID: PMC10475371 DOI: 10.5713/ab.23.0049] [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: 02/13/2023] [Revised: 03/29/2023] [Accepted: 05/17/2023] [Indexed: 07/06/2023] Open
Abstract
OBJECTIVE To carry out a comprehensive production planning of the existing Rongchang pig population from both environmental and genetic aspects, and to establish a closed population with stable genetic diversity and strict pathogen control, it is necessary to fully understand the genetic background of the population. METHODS We genotyped 54 specific pathogen free (SPF) Rongchang pigs using the Zhongxin-1 Porcine Breeding Array PLUS, calculated their genetic diversity parameters and constructed their families. In addition, we also counted the runs of homozygosity (ROH) of each individual and calculated the value of inbreeding coefficient based on ROH for each individual. RESULTS Firstly, the results of genetic diversity analysis showed that the effective population size (Ne) of this population was 3.2, proportion of polymorphic markers (PN) was 0.515, desired heterozygosity (He) and observed heterozygosity (Ho) were 0.315 and 0.335. Ho was higher than He, indicating that the heterozygosity of all the selected loci was high. Secondly, combining the results of genomic relatedness analysis and cluster analysis, it was found that the existing Rongchang pig population could be divided into four families. Finally, we also counted the ROH of each individual and calculated the inbreeding coefficient value accordingly, whose mean value was 0.09. CONCLUSION Due to the limitation of population size and other factors, the genetic diversity of this Rongchang pig population is low. The results of this study can provide basic data to support the development of Rongchang pig breeding program, the establishment of SPF Rongchang pig closed herd and its experimental utilization.
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Affiliation(s)
- Dong Leng
- Chongqing Academy of Animal Science, Chongqing 404100,
China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130,
China
| | - Liangpeng Ge
- Chongqing Academy of Animal Science, Chongqing 404100,
China
- Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Chongqing 404100,
China
- National Center of Technology Innovation for Swine, Chongqing 404100,
China
| | - Jing Sun
- Chongqing Academy of Animal Science, Chongqing 404100,
China
- Key Laboratory of Pig Industry Sciences, Ministry of Agriculture, Chongqing 404100,
China
- National Center of Technology Innovation for Swine, Chongqing 404100,
China
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Wu F, Chen Z, Zhang Z, Wang Z, Zhang Z, Wang Q, Pan Y. The Role of SOCS3 in Regulating Meat Quality in Jinhua Pigs. Int J Mol Sci 2023; 24:10593. [PMID: 37445769 DOI: 10.3390/ijms241310593] [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: 05/24/2023] [Revised: 06/15/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Meat quality is an important economic trait that influences the development of the pig industry. Skeletal muscle development and glycolytic potential (GP) are two crucial aspects that significantly impact meat quality. It has been reported that abnormal skeletal muscle development and high glycogen content results in low meat quality. However, the genetic mechanisms underlying these factors are still unclear. Compared with intensive pig breeds, Chinese indigenous pig breeds, such as the Jinhua pig, express superior meat quality characteristics. The differences in the meat quality traits between Jinhua and intensive pig breeds make them suitable for uncovering the genetic mechanisms that regulate meat quality traits. In this study, the Jinhua pig breed and five intensive pig breeds, including Duroc, Landrace, Yorkshire, Berkshire, and Pietrain pig breeds, were selected as experimental materials. First, the FST and XP-EHH methods were used to screen the selective signatures on the genome in the Jinhua population. Then, combined with RNA-Seq data, the study further confirmed that SOCS3 could be a key candidate gene that influences meat quality by mediating myoblast proliferation and glycometabolism because of the down-regulated expression of SOCS3 in Jinhua pigs compared with Landrace pigs. Finally, through SOCS3 knockout (KO) and overexpression (OE) experiments in mouse C2C12 cells, the results showed that SOCS3 regulated the cell proliferation of myoblasts. Moreover, SOCS3 is involved in regulating glucose uptake by the IRS1/PI3K/AKT signaling pathway. Overall, these findings provide a basis for the genetic improvement of meat quality traits in the pig industry.
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Affiliation(s)
- Fen Wu
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zitao Chen
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhenyang Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhe Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qishan Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China
| | - Yuchun Pan
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
- Key Laboratory of Livestock and Poultry Resources Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China
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Liu C, Hou L, Zhao Q, Zhou W, Liu K, Liu Q, Zhou T, Xu B, Li P, Huang R. The selected genes NR6A1, RSAD2-CMPK2, and COL3A1 contribute to body size variation in Meishan pigs through different patterns. J Anim Sci 2023; 101:skad304. [PMID: 37703114 PMCID: PMC10548407 DOI: 10.1093/jas/skad304] [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: 07/10/2023] [Accepted: 09/12/2023] [Indexed: 09/15/2023] Open
Abstract
The high-fertility Meishan pig is currently categorized into medium sized (MMS) and small sized (SMS) based on body size. To identify causal genes responsible for the variation in body size within the two categories, we sequenced individuals representing the entire consanguinity of the existing Meishan pig. This enabled us to conduct genome selective signal analysis. Our findings revealed the genomes of MMS and SMS are stratified, with selective sweep regions formed by differential genomic intervals between the two categories enriched in multiple pig body size related quantitative trait loci (QTLs). Furthermore, the missense mutation c.575T > C of candidate causal gene NR6A1, accounting for the variation in lumbar vertebrae number in pigs, was positively selected in MMS only, leading to an increase in body length of MMS at 6 months of age. To precisely identify causal genes accounting for body size variation through multi-omics, we collected femoral cartilage and liver transcription data from MMS and SMS respectively, and re-sequencing data from pig breeds exhibiting varying body sizes. We found that two selected regions where the RSAD2-CMPK2 and COL3A1 genes are located, respectively, showed different haplotypes in pig breeds of varying body size, and was associated with body or carcass length in hybridized Suhuai pig. Additionally, the above three hub genes, were significantly greater expressed in SMS femoral cartilage and liver tissues compared to MMS. These three genes could strengthen the pathways related to bone resorption and metabolism in SMS, potentially hindering bone and skeletal development and resulting in a smaller body size in SMS. These findings provide valuable insights into the genetic mechanism of body size variation in Meishan pig population.
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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
| | - 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
| | - 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
| | - 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
| | - Kaiyue 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
| | - 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
| | - Tengbin Zhou
- Kunshan Animal Disease Prevention and Control Center, Suzhou 215000, China
| | - Binbin Xu
- Kunshan Meishan Pig Breeding Co., Ltd., Suzhou 215000, 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
| | - 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
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Dumont V, Lehtonen S. PACSIN proteins in vivo: Roles in development and physiology. Acta Physiol (Oxf) 2022; 234:e13783. [PMID: 34990060 PMCID: PMC9285741 DOI: 10.1111/apha.13783] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/15/2021] [Accepted: 01/01/2022] [Indexed: 12/22/2022]
Abstract
Protein kinase C and casein kinase substrate in neurons (PACSINs), or syndapins (synaptic dynamin‐associated proteins), are a family of proteins involved in the regulation of cell cytoskeleton, intracellular trafficking and signalling. Over the last twenty years, PACSINs have been mostly studied in the in vitro and ex vivo settings, and only in the last decade reports on their function in vivo have emerged. We first summarize the identification, structure and cellular functions of PACSINs, and then focus on the relevance of PACSINs in vivo. During development in various model organisms, PACSINs participate in diverse processes, such as neural crest cell development, gastrulation, laterality development and neuromuscular junction formation. In mouse, PACSIN2 regulates angiogenesis during retinal development and in human, PACSIN2 associates with monosomy and embryonic implantation. In adulthood, PACSIN1 has been extensively studied in the brain and shown to regulate neuromorphogenesis, receptor trafficking and synaptic plasticity. Several genetic studies suggest a role for PACSIN1 in the development of schizophrenia, which is also supported by the phenotype of mice depleted of PACSIN1. PACSIN2 plays an essential role in the maintenance of intestinal homeostasis and participates in kidney repair processes after injury. PACSIN3 is abundant in muscle tissue and necessary for caveolar biogenesis to create membrane reservoirs, thus controlling muscle function, and has been linked to certain genetic muscular disorders. The above examples illustrate the importance of PACSINs in diverse physiological or tissue repair processes in various organs, and associations to diseases when their functions are disturbed.
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Affiliation(s)
- Vincent Dumont
- Department of Pathology and Research Program for Clinical and Molecular Metabolism Faculty of Medicine University of Helsinki Helsinki Finland
| | - Sanna Lehtonen
- Department of Pathology and Research Program for Clinical and Molecular Metabolism Faculty of Medicine University of Helsinki Helsinki Finland
- Department of Pathology University of Helsinki Helsinki Finland
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Lee YS, Son S, Heo J, Shin D. Detecting the differential genomic variants using cross-population phenotype-associated variant (XP-PAV) of the Landrace and Yorkshire pigs in Korea. Anim Cells Syst (Seoul) 2021; 25:416-423. [PMID: 35059141 PMCID: PMC8765246 DOI: 10.1080/19768354.2021.2006310] [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] [Indexed: 11/01/2022] Open
Abstract
Although there have been many genome-wide association studies (GWAS) and selective sweep analyses to understand pig genomic regions related to growth performance, these methods considered only the gene effect and selection signal, respectively. In this study, we suggest the cross-population phenotype associated variant (XP-PAV) analysis as a novel method to determine the genomic variants with different effects between the two populations. XP-PAV analysis could reveal the differential genetic variants between the two populations by considering the gene effect and selection signal simultaneously. In this study, we used daily weight gain (DWG) and back fat thickness (BF) as phenotypes and the Landrace and Yorkshire populations were used for XP-PAV analysis. The main aim was to reveal the differential selection by considering the gene effect between Landrace and Yorkshire pigs. In the gene ontology analysis of XP-PAV results, differential selective genes in DWG analysis were involved in the regulation of interleukin-2 production and cell cycle G2/M transition. The protein modification and glycerophospholipid biosynthetic processes were the most enriched terms in the BF analysis. Therefore, we could identify genetic differences for immune and several metabolic pathways between Landrace and Yorkshire breeds using the XP-PAV analysis. In this study, we expect that XP-PAV analysis will play a role in determining useful selective variants with gene effects and provide a new interpretation of the genetic differences between the two populations.
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Affiliation(s)
- Young-Sup Lee
- Department of Animal Biotechnology, Jeonbuk National University, Jeonju, Republic of Korea
| | - Seungwoo Son
- Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju, Republic of Korea
| | - Jaeyoung Heo
- Department of Animal Biotechnology, Jeonbuk National University, Jeonju, Republic of Korea
| | - Donghyun Shin
- Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju, Republic of Korea
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Ruan D, Zhuang Z, Ding R, Qiu Y, Zhou S, Wu J, Xu C, Hong L, Huang S, Zheng E, Cai G, Wu Z, Yang J. Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population. Genes (Basel) 2021; 12:genes12010117. [PMID: 33477978 PMCID: PMC7835741 DOI: 10.3390/genes12010117] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/07/2021] [Accepted: 01/11/2021] [Indexed: 12/17/2022] Open
Abstract
Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56–3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs.
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Affiliation(s)
- Donglin Ruan
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Zhanwei Zhuang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Rongrong Ding
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Yibin Qiu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Shenping Zhou
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Jie Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Cineng Xu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Linjun Hong
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Sixiu Huang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
- Correspondence: (Z.W.); (J.Y.)
| | - Jie Yang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China; (D.R.); (Z.Z.); (R.D.); (Y.Q.); (S.Z.); (J.W.); (C.X.); (L.H.); (S.H.); (E.Z.); (G.C.)
- Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou 510642, China
- Correspondence: (Z.W.); (J.Y.)
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10
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Guo L, Sun H, Zhao Q, Xu Z, Zhang Z, Liu D, Qadri QR, Ma P, Wang Q, Pan Y. Positive selection signatures in Anqing six-end-white pig population based on reduced-representation genome sequencing data. Anim Genet 2021; 52:143-154. [PMID: 33458851 DOI: 10.1111/age.13034] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2020] [Indexed: 12/26/2022]
Abstract
Anqing six-end-white (AQ) pig performs well on resistance to coarse fodder and disease, reproduction and meat quality, offering high potential for exploitation. Environmental conditions and strict selections from local farmers have cultivated the AQ pig to be an outstanding and unique local pig breed. Thus we aim to detect genetic positive selection signatures within the AQ pig population to explore underlying genetic mechanisms. A relative extended haplotype homozygosity (REHH) test was performed in the population of 79 AQ pigs to seek evidence demonstrating that selective actions have left an imprint on the whole genome. In total, 430 500 REHH tests were performed on 53 067 core regions with average REHH tests of 8.11, average lengths of 11.50 kb and an overall length of 610.38 Mb which accounted for 26.94% of the whole genome. Finally, a total of 1819 core haplotypes (P < 0.01) and 586 candidate genes were obtained. These genes were mainly related to meat quality (MYOG, SNX19), resistance to disease (CRISPLD2, CD14) and reproduction traits (ERBB2, NRP2). A panel of genes within the 30 top significant REHH tests was mainly categorized to traits of meat quality and disease resistance. Among 13 KEGG pathways, MAPK, GnRH and Oxytocin signaling pathways, associated with the biological processes of crucial economic traits, were noteworthy. The excellent characteristics of the AQ pig benefited from the combination of natural and human factors. We provide a sketch map that shows the distribution of selection footprints on the whole genome of AQ pig and found potential genes for future studies.
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Affiliation(s)
- L Guo
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - H Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - Q Zhao
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - Z Xu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - Z Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - D Liu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - Q R Qadri
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - P Ma
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, East, 200240, China
| | - Q Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Yuhangtang Road, Hangzhou, East, 310058, China
| | - Y Pan
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Yuhangtang Road, Hangzhou, East, 310058, China
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11
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12
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Wu F, Sun H, Lu S, Gou X, Yan D, Xu Z, Zhang Z, Qadri QR, Zhang Z, Wang Z, Chen Q, Li M, Wang X, Dong X, Wang Q, Pan Y. Genetic Diversity and Selection Signatures Within Diannan Small-Ear Pigs Revealed by Next-Generation Sequencing. Front Genet 2020; 11:733. [PMID: 32849777 PMCID: PMC7406676 DOI: 10.3389/fgene.2020.00733] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/16/2020] [Indexed: 12/26/2022] Open
Abstract
Genetic characterization of Chinese indigenous pig breeds is essential to promote scientific conservation and sustainable development of pigs. Here, we systematically surveyed the genomes of 75 unrelated Diannan small-ear (DSE) pigs from three diverse regions (Yingjiang County, Jinping County, and Sipsongpanna in Yunnan Province) to describe their population structures, genetic diversity, inbreeding coefficients, and selection signatures. First, these individuals were sequenced and genotyped using the genome reducing and sequencing (GGRS) protocol. A total of 438,038 autosomal single-nucleotide polymorphisms (SNPs) were obtained and used for subsequent statistical analysis. The results showed that these DSE pigs were clearly differentiated into three separate clades revealed by the population structure and principal component analysis, which is consistent with their geographical origins. Diannan small-ear pigs owned lower genetic diversity when compared with some other pig breeds, which demonstrated the need to strengthen the conservation strategies for DSE pigs. In addition, the inbreeding coefficients based on runs of homozygosity (ROH) length (F ROH) were calculated in each ROH length categories, respectively. And the results indicated that the ancient (up to 50 generations ago) inbreeding had greater impacts than recent (within the last five generations) inbreeding within DSE pigs. Some candidate selection signatures within the DSE pig population were detected through the ROH islands and integrated haplotype homozygosity score (iHS) methods. And genes associated with meat quality (COL15A1, RPL3L, and SLC9A3R2), body size (PALM2-AKAP2, NANS, TRAF7, and PACSIN1), adaptability (CLDN9 and E4F1), and appetite (GRM4) were identified. These findings can help to understand the genetic characteristics and provide insights into the molecular background of special phenotypes of DSE pigs to promote conservation and sustainability of the breed.
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Affiliation(s)
- Fen Wu
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Shaoxiong Lu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiao Gou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Dawei Yan
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Zhong Xu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhenyang Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Qamar Raza Qadri
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhe Zhang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Zhen Wang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Qiang Chen
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Mingli Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xiaoyi Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Xinxing Dong
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Qishan Wang
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yuchun Pan
- Department of Animal Breeding and Reproduction, College of Animal Sciences, Zhejiang University, Hangzhou, China
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13
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Liu C, Li P, Zhou W, Ma X, Wang X, Xu Y, Jiang N, Zhao M, Zhou T, Yin Y, Ren J, Huang R. Genome Data Uncover Conservation Status, Historical Relatedness and Candidate Genes Under Selection in Chinese Indigenous Pigs in the Taihu Lake Region. Front Genet 2020; 11:591. [PMID: 32582299 PMCID: PMC7296076 DOI: 10.3389/fgene.2020.00591] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 05/15/2020] [Indexed: 12/17/2022] Open
Abstract
Chinese indigenous pig breeds in the Taihu Lake (TL) region of Eastern China are well documented by their exceptional prolificacy. There are seven breeds in this region including Meishan (MS), Erhualian (EHL), Jiaxing Black (JXB), Fengjing (FJ), Shawutou (SWT), Mi (MI), and Hongdenglong (HDL). At present, these breeds are facing a great threat of population decline, inbreeding depression and lineage admixture since Western commercial pigs have dominated in Chinese pig industry. To provide better conservation strategies and identify candidate genes under selection for these breeds, we explored genome-wide single nucleotide polymorphism (SNP) markers to uncover genetic variability and relatedness, population structure, historical admixture and genomic signature of selection of 440 pigs representing the most comprehensive lineages of these breeds in TL region in a context of 1228 pigs from 45 Eurasian breeds. We showed that these breeds were more closely related to each other as compared to other Eurasian breeds, defining one of the main ancestral lineages of Chinese indigenous pigs. These breeds can be divided into two subgroups, one including JXB and FJ, and the other comprising of EHL, MI, HDL, MS, and SWT. In addition, HDL was highly inbred whereas EHL and MS had more abundant genetic diversity owing to their multiple conservation populations. Moreover, we identified a list of candidate genes under selection for body size and prolificacy. Our results would benefit the conservation of these valuable breeds and improve our understanding of the genetic mechanisms of body size and fecundity in pigs.
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Affiliation(s)
- Chenxi Liu
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Pinghua Li
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China.,Huaian Academy, Nanjing Agricultural University, Huaian, China
| | - Wuduo Zhou
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Xiang Ma
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Xiaopeng Wang
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Yan Xu
- Jiangsu Provincial Station of Animal Husbandry, Nanjing, China
| | - Nengjing Jiang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Moran Zhao
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Tianwei Zhou
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Yanzhen Yin
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Jun Ren
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Ruihua Huang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China.,Huaian Academy, Nanjing Agricultural University, Huaian, China
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14
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Zhuang Z, Li S, Ding R, Yang M, Zheng E, Yang H, Gu T, Xu Z, Cai G, Wu Z, Yang J. Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations. PLoS One 2019; 14:e0218263. [PMID: 31188900 PMCID: PMC6561594 DOI: 10.1371/journal.pone.0218263] [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: 12/20/2018] [Accepted: 05/29/2019] [Indexed: 01/07/2023] Open
Abstract
Loin muscle area (LMA) and loin muscle depth (LMD) are important traits influencing the production performance of breeding pigs. However, the genetic architecture of these two traits is still poorly understood. To discern the genetic architecture of LMA and LMD, a material consisting of 6043 Duroc pigs belonging to two populations with different genetic backgrounds was collected and applied in genome-wide association studies (GWAS) with a genome-wide distributed panel of 50K single nucleotide polymorphisms (SNPs). To improve the power of detection for common SNPs, we conducted a meta-analysis in these two pig populations and uncovered additional significant SNPs. As a result, we identified 75 significant SNPs for LMA and LMD on SSC6, 7, 12, 16, and 18. Among them, 25 common SNPs were associated with LMA and LMD. One pleiotropic quantitative trait locus (QTL), which was located on SSC7 with a 283 kb interval, was identified to affect LMA and LMD. Marker ALGA0040260 is a key SNP for this QTL, explained 1.77% and 2.48% of the phenotypic variance for LMA and LMD, respectively. Another genetic region on SSC16 (709 kb) was detected and displayed prominent association with LMA and the peak SNP, WU_10.2_16_35829257, contributed 1.83% of the phenotypic variance for LMA. Further bioinformatics analysis determined eight promising candidate genes (GCLC, GPX8, DAXX, FGF21, TAF11, SPDEF, NUDT3, and PACSIN1) with functions in glutathione metabolism, adipose and muscle tissues development and lipid metabolism. This study provides the first GWAS for the LMA and LMD of Duroc breed to analyze the underlying genetic variants through a large sample size. The findings further advance our understanding and help elucidate the genetic architecture of LMA, LMD and growth-related traits in pigs.
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Affiliation(s)
- Zhanwei Zhuang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Shaoyun Li
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Rongrong Ding
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Ming Yang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Wens Foodstuffs Group Co., Ltd, Guangdong, P.R. China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Huaqiang Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Ting Gu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Zheng Xu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
- National Engineering Research Center for Breeding Swine Industry, Guangdong Wens Foodstuffs Group Co., Ltd, Guangdong, P.R. China
- * E-mail: (JY); (ZW)
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, P.R. China
- * E-mail: (JY); (ZW)
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