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Lin Y, Tang Q, Li Y, He M, Jin L, Ma J, Wang X, Long K, Huang Z, Li X, Gu Y, Li M. Genomic analyses provide insights into breed-of-origin effects from purebreds on three-way crossbred pigs. PeerJ 2019; 7:e8009. [PMID: 31737448 PMCID: PMC6855203 DOI: 10.7717/peerj.8009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 10/07/2019] [Indexed: 11/20/2022] Open
Abstract
Crossbreeding is widely used aimed at improving crossbred performance for poultry and livestock. Alleles that are specific to different purebreds will yield a large number of heterozygous single-nucleotide polymorphisms (SNPs) in crossbred individuals, which are supposed to have the power to alter gene function or regulate gene expression. For pork production, a classic three-way crossbreeding system of Duroc × (Landrace × Yorkshire) (DLY) is generally used to produce terminal crossbred pigs with stable and prominent performance. Nonetheless, little is known about the breed-of-origin effects from purebreds on DLY pigs. In this study, we first estimated the distribution of heterozygous SNPs in three kinds of three-way crossbred pigs via whole genome sequencing data originated from three purebreds. The result suggested that DLY is a more effective strategy for three-way crossbreeding as it could yield more stably inherited heterozygous SNPs. We then sequenced a DLY pig family and identified 95, 79, 132 and 42 allele-specific expression (ASE) genes in adipose, heart, liver and skeletal muscle, respectively. Principal component analysis and unrestricted clustering analyses revealed the tissue-specific pattern of ASE genes, indicating the potential roles of ASE genes for development of DLY pigs. In summary, our findings provided a lot of candidate SNP markers and ASE genes for DLY three-way crossbreeding system, which may be valuable for pig breeding and production in the future.
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Affiliation(s)
- Yu Lin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Mengnan He
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xun Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhiqing Huang
- Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xuewei Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yiren Gu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
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Yang Y, Liu C, Adeola AC, Sulaiman X, Xie HB, Zhang YP. Artificial selection drives differential gene expression during pig domestication. J Genet Genomics 2019; 46:97-100. [PMID: 30850275 DOI: 10.1016/j.jgg.2018.09.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 07/08/2018] [Accepted: 09/04/2018] [Indexed: 01/07/2023]
Affiliation(s)
- Yang Yang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China
| | - Chaorui Liu
- National Pilot School of Software, Yunnan University, Kunming, 650500, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | | | - Hai-Bing Xie
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204, China.
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Analysis of allele-specific expression of seven candidate genes involved in lipid metabolism in pig skeletal muscle and fat tissues reveals allelic imbalance of ACACA, LEP, SCD, and TNF. J Appl Genet 2019; 60:97-101. [PMID: 30684136 PMCID: PMC6373405 DOI: 10.1007/s13353-019-00485-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 01/14/2019] [Accepted: 01/15/2019] [Indexed: 12/13/2022]
Abstract
Analysis of allele-specific expression may help to elucidate the genetic architecture of complex traits including fat deposition in pigs. Here, we used pyrosequencing to investigate the allele proportions of candidate genes (ACACA, ADIPOR1, FASN, LEP, ME1, SCD, and TNF) involved in regulation of lipid metabolism in two fat deposits (subcutaneous and visceral fat) and longissimus dorsi muscle of pigs representing Polish Large White, Polish Landrace, Duroc, and Pietrain breeds. We detected differential allelic expression of ACACA, LEP, SCD, and TNF in all tissues analyzed. To search for putative cis-regulatory elements involved in allele-specific expression, we quantified the methylation level within CpG islands located in 5′-flanking regions of ACACA and SCD. Comparison between samples showing markedly disproportionate allelic expression and control groups with similar levels of both alleles did not reveal significant differences. We also assessed the association of rs321308225 (c.*195C>A) an SNP located in the 3′UTR of ACACA with its allelic expression in Polish Landrace pigs, but it was not significant. We conclude that allelic imbalance occurs frequently in regard to genes involved in regulation of lipid deposition in pigs, and further studies are necessary to identify cis-regulatory elements affecting ACACA, LEP, SCD, and TNF expression in porcine fat tissues and skeletal muscle.
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Stachowiak M, Szczerbal I, Flisikowski K. Investigation of allele-specific expression of genes involved in adipogenesis and lipid metabolism suggests complex regulatory mechanisms of PPARGC1A expression in porcine fat tissues. BMC Genet 2018; 19:107. [PMID: 30497374 PMCID: PMC6267897 DOI: 10.1186/s12863-018-0696-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 11/19/2018] [Indexed: 02/06/2023] Open
Abstract
Background The expression of genes involved in regulating adipogenesis and lipid metabolism may affect economically important fatness traits in pigs. Allele-specific expression (ASE) reflects imbalance between allelic transcript levels and can be used to identify underlying cis-regulatory elements. ASE has not yet been intensively studied in pigs. The aim of this investigation was to analyze the differential allelic expression of four genes, PPARA, PPARG, SREBF1, and PPARGC1A, which are involved in the regulation of fat deposition in porcine subcutaneous and visceral fat and longissimus dorsi muscle. Results Quantification of allelic proportions by pyrosequencing revealed that both alleles of PPARG and SREBF1 are expressed at similar levels. PPARGC1A showed the greatest ASE imbalance in fat deposits in Polish Large White (PLW), Polish Landrace and Pietrain pigs; and PPARA in PLW pigs. Significant deviations of mean PPARGC1A allelic transcript ratio between cDNA and genomic DNA were detected in all tissues, with the most pronounced difference (p < 0.001) in visceral fat of PLW pigs. To search for potential cis-regulatory elements affecting ASE in the PPARGC1A gene we analyzed the effects of four SNPs (rs337351686, rs340650517, rs336405906 and rs345224049) in the promoter region, but none were associated with ASE in the breeds studied. DNA methylation analysis revealed significant CpG methylation differences between samples showing balanced (allelic transcript ratio ≈1) and imbalanced allelic expression for CpG site at the genomic position in chromosome 8 (SSC8): 18527678 in visceral fat (p = 0.017) and two CpG sites (SSC8:18525215, p = 0.030; SSC8:18525237, p = 0.031) in subcutaneous fat. Conclusions Our analysis of differential allelic expression suggests that PPARGC1A is subjected to cis-regulation in porcine fat tissues. Further studies are necessary to identify other regulatory elements localized outside the PPARGC1A proximal promoter region. Electronic supplementary material The online version of this article (10.1186/s12863-018-0696-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Monika Stachowiak
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637, Poznan, Poland.
| | - Izabela Szczerbal
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637, Poznan, Poland
| | - Krzysztof Flisikowski
- Chair of Livestock Biotechnology, Technical University of Munich, Liesel-Beckmannstr. 1, 85354, Freising, Germany
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Park W, Srikanth K, Lim D, Park M, Hur T, Kemp S, Dessie T, Kim MS, Lee SR, te Pas MFW, Kim JM, Park JE. Comparative transcriptome analysis of Ethiopian indigenous chickens from low and high altitudes under heat stress condition reveals differential immune response. Anim Genet 2018; 50:42-53. [DOI: 10.1111/age.12740] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2018] [Indexed: 01/22/2023]
Affiliation(s)
- W. Park
- Animal Genomics and Bioinformatics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
| | - K. Srikanth
- Animal Genomics and Bioinformatics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
| | - D. Lim
- Animal Genomics and Bioinformatics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
| | - M. Park
- Animal Breeding and Genomics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
| | - T. Hur
- Animal Genomics and Bioinformatics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
| | - S. Kemp
- Animal Biosciences; International Livestock Research Institute (ILRI); P.O. Box 30709 Nairobi 00100 Kenya
| | - T. Dessie
- Animal Biosciences; International Livestock Research Institute (ILRI); P.O. Box 5689 Addis Ababa Ethiopia
| | - M. S. Kim
- Department of Animal Science; College of Agriculture and Life Sciences; Chonnam National University; Republic of Korea Gwangju 61186 Korea
| | - S.-R. Lee
- Department of Agro-biotechnology Convergence; Jeonju University; Republic of Korea 55069 Jeonju Korea
| | - M. F. W. te Pas
- Animal Breeding and Genomics; Wageningen UR Livestock Research; 6700AH Wageningen The Netherlands
| | - J.-M. Kim
- Department of Animal Science and Technology; Chung-Ang University; Anseong Gyeonggi-do 17546 Korea
| | - J.-E. Park
- Animal Genomics and Bioinformatics Division; National Institute of Animal Science, RDA; Wanju 55365 Korea
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Shang P, Wang Z, Chamba Y, Zhang B, Zhang H, Wu C. A comparison of prenatal muscle transcriptome and proteome profiles between pigs with divergent growth phenotypes. J Cell Biochem 2018; 120:5277-5286. [PMID: 30302803 DOI: 10.1002/jcb.27802] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 09/10/2018] [Indexed: 12/11/2022]
Abstract
The growth of pigs is an important economic trait that involves multiple genes and coordinated regulatory mechanisms. The growth rate and potential of skeletal muscles are largely decided by embryonic myofiber development. Tibetan pig (TP) that is a mini-type breed has a divergent phenotype in growth rate and adult body weight with Wujin pig (WJ) and large White pig (LW). In the current study, the transcriptome (using RNA-seq) and proteome (using the isobaric tag for relative and absolute quantification [iTRAQ]) data from the prenatal muscle tissues were analyzed to identify the genes related to postnatal growth rate and growth potential in pigs. In the RNA-seq experiment, 19 626 genes were detected in the embryonic muscle tissues, and 3626 unique differentially expressed genes (DEGs) were identified in TP in comparison to that in LW and WJ. In the iTRAQ experiment, 2474 proteins were detected, and 735 unique differentially expressed proteins (DEPs) were identified in TP in comparison to that in LW and WJ. Combining the DEGs and DEPs, 209 genes were found to be differentially expressed, consistently at both the messenger RNA and protein levels, between TP and the other two breeds; these are mainly involved in 2-oxocarboxylic acid metabolism, citrate cycle, and biosynthesis of amino acids. Of these, 20 genes that were related to myoblast differentiation and muscle fiber formation might have important roles in determining the postnatal growth rate and potential body weight in pigs. Our results provide new candidate genes and insights into the molecular mechanisms involved muscle growth traits in pigs.
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Affiliation(s)
- Peng Shang
- Laboratory National Engineering For Animal Breeding/Beijing Key Laboratory for Animal Genetic Improvement, Department of Animal Genetics and Breeding, China Agricultural University, Beijing, China.,Department of animal husbandry, College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi, China
| | - Zhixiu Wang
- Laboratory National Engineering For Animal Breeding/Beijing Key Laboratory for Animal Genetic Improvement, Department of Animal Genetics and Breeding, China Agricultural University, Beijing, China.,Department of Animal Genetics and Breeding, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Yangzom Chamba
- Department of animal husbandry, College of Animal Science, Tibet Agriculture and Animal Husbandry College, Linzhi, China
| | - Bo Zhang
- Laboratory National Engineering For Animal Breeding/Beijing Key Laboratory for Animal Genetic Improvement, Department of Animal Genetics and Breeding, China Agricultural University, Beijing, China
| | - Hao Zhang
- Laboratory National Engineering For Animal Breeding/Beijing Key Laboratory for Animal Genetic Improvement, Department of Animal Genetics and Breeding, China Agricultural University, Beijing, China
| | - Changxin Wu
- Laboratory National Engineering For Animal Breeding/Beijing Key Laboratory for Animal Genetic Improvement, Department of Animal Genetics and Breeding, China Agricultural University, Beijing, China
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7
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Variant calling from RNA-seq data of the brain transcriptome of pigs and its application for allele-specific expression and imprinting analysis. Gene 2018; 641:367-375. [DOI: 10.1016/j.gene.2017.10.076] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 10/19/2017] [Accepted: 10/26/2017] [Indexed: 12/21/2022]
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