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Li Y, Tao X, Zhao P, Zhou J, Ao X. Effects of slaughter weight on carcass characteristics, meat quality, and metabolomics profiling in the longissimus dorsi muscle of Tianfu finishing pigs. Front Vet Sci 2024; 11:1420634. [PMID: 39005725 PMCID: PMC11239573 DOI: 10.3389/fvets.2024.1420634] [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: 04/20/2024] [Accepted: 06/10/2024] [Indexed: 07/16/2024] Open
Abstract
In order to investigate the effect of slaughter weight (SW) on carcass characteristics and meat quality, we measured the carcass characteristics, meat quality, and amino acid metabolomics characteristics of longissimus dorsi (LD) muscle from Tianfu finishing (TF) pigs. Based on SW, 13 pigs were divided into three groups (100-kg group, 125-kg group, and 150-kg group with 3, 5, 5 pigs in each group, respectively). Raising SW to 125 kg or 150 kg increased average backfat thickness (P < 0.01) and intramuscular fat content (P < 0.01), and decreased shear force (P < 0.01). A total of 231 amino acid metabolome from three amino acid classes identified with metabolomics were analyzed, and 93 differentially expressed metabolites (DEMs) were identified (69 up-regulated DEMs and 24 down-regulated DEMs). The DEMs, including urea, 3-iodo-L-tyrosine, N-glycyl-L-leucine, and N, N-dimethylglycine with amino acid metabolism, were significantly induced (P < 0.01). KEGG pathway analysis showed that these DEMs were significantly enriched (P < 0.01) in 135 metabolism pathways, including pathways related to amino acid metabolism, such as arginine and proline metabolism, glycine, serine and threonine metabolism, alanine, aspartate and glutamate metabolism, tryptophan metabolism, and beta-alanine metabolism. Our research findings provided new insights into the impact of SW on amino acid distribution and theoretical support for genetic breeding of meat quality of TF pigs. However, raising SW to 125 kg, or more, decreased the carcass leanness of live TF pigs and had no benefits to pork quality attributes.
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Affiliation(s)
- Yuanfeng Li
- School of Life Sciences, Liaocheng University, Liaocheng, Shandong, China
| | - Xuan Tao
- Faculty of Quality Management and Inspection & Quarantine, Yibin University, Yibin, China
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Pinyao Zhao
- Faculty of Quality Management and Inspection & Quarantine, Yibin University, Yibin, China
- Solid-state Fermentation Resource Utilization Key Laboratory of Sichuan Province, Yibin, China
- Sichuan Higher Education Engineering Research Center for Agri-Food Standardization and Inspection, Yibin, China
| | - Jianchuan Zhou
- School of Animal Science and Technology, China Agricultural University, Beijing, China
- Sichuan Techlex Industrial Co. Ltd., Mianyang, China
| | - Xiang Ao
- Faculty of Quality Management and Inspection & Quarantine, Yibin University, Yibin, China
- Sichuan Techlex Industrial Co. Ltd., Mianyang, China
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Wang H, Wang X, Yang Y, Zhu Y, Wang S, Chen Q, Yan D, Dong X, Li M, Lu S. Genome-wide identification of quantitative trait loci and candidate genes for seven carcass traits in a four-way intercross porcine population. BMC Genomics 2024; 25:582. [PMID: 38858624 PMCID: PMC11165779 DOI: 10.1186/s12864-024-10484-y] [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: 07/04/2023] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Carcass traits are essential economic traits in the commercial pig industry. However, the genetic mechanism of carcass traits is still unclear. In this study, we performed a genome-wide association study (GWAS) based on the specific-locus amplified fragment sequencing (SLAF-seq) to study seven carcass traits on 223 four-way intercross pigs, including dressing percentage (DP), number of ribs (RIB), skin thinkness (ST), carcass straight length (CSL), carcass diagonal length (CDL), loin eye width (LEW), and loin eye thickness (LET). RESULTS A total of 227,921 high-quality single nucleotide polymorphisms (SNPs) were detected to perform GWAS. A total of 30 SNPs were identified for seven carcass traits using the mixed linear model (MLM) (p < 1.0 × 10- 5), of which 9 SNPs were located in previously reported quantitative trait loci (QTL) regions. The phenotypic variation explained (PVE) by the significant SNPs was from 2.43 to 16.32%. Furthermore, 11 candidate genes (LYPLAL1, EPC1, MATN2, ZFAT, ZBTB10, ZNF704, INHBA, SMYD3, PAK1, SPTBN2, and ACTN3) were found for carcass traits in pigs. CONCLUSIONS The GWAS results will improve our understanding of the genetic basis of carcass traits. We hypothesized that the candidate genes associated with these discovered SNPs would offer a biological basis for enhancing the carcass quality of pigs in swine breeding.
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Affiliation(s)
- Huiyu Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
- Faculty of Animal Science, Xichang University, Xichang, Sichuan, 615000, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Yongli Yang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Yixuan Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Shuyan Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.
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Wu Z, Dou T, Bai L, Han J, Yang F, Wang K, Han X, Qiao R, Li XL, Li XJ. Genomic prediction and genome-wide association studies for additive and dominance effects for body composition traits using 50 K and imputed high-density SNP genotypes in Yunong-black pigs. J Anim Breed Genet 2024; 141:124-137. [PMID: 37822282 DOI: 10.1111/jbg.12830] [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: 06/21/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/13/2023]
Abstract
Body composition traits are complex traits controlled by minor genes and, in hybrid populations, are impacted by additive and nonadditive effects. We aimed to identify candidate genes and increase the accuracy of genomic prediction of body composition traits in crossbred pigs by including dominance genetic effects. Genomic selection (GS) and genome-wide association studies were performed on seven body composition traits in 807 Yunong-black pigs using additive genomic models (AM) and additive-dominance genomic models (ADM) with an imputed high-density single nucleotide polymorphism (SNP) array and the Illumina Porcine SNP50 BeadChip. The results revealed that the additive heritabilities estimated for AM and ADM using the 50 K SNP data ranged from 0.20 to 0.34 and 0.11 to 0.30, respectively. However, the ranges of additive heritability for AM and ADM in the imputed data ranged from 0.20 to 0.36 and 0.12 to 0.30, respectively. The dominance variance accounted for 23% and 27% of the total variance for the 50 K and imputed data, respectively. The accuracy of genomic prediction improved by 5% on average for 50 K and imputed data when dominance effect were considered. Without the dominance effect, the accuracies for 50 K and imputed data were 0.35 and 0.38, respectively, and 0.41 and 0.43, respectively, upon considering it. A total of 12 significant SNP and 16 genomic regions were identified in the AM, and 14 significant SNP and 21 genomic regions were identified in the ADM for both the 50 K and imputed data. There were five overlapping SNP in the 50 K and imputed data. In the AM, a significant SNP (CNC10041568) was found in both body length and backfat thickness traits, which was in the PLAG1 gene strongly and significantly associated with body length and backfat thickness in pigs. Moreover, a significant SNP (CNC10031356) with a heterozygous dominant genotype was present in the ADM. Furthermore, several functionally related genes were associated with body composition traits, including MOS, RPS20, LYN, TGS1, TMEM68, XKR4, SEMA4D and ARNT2. These findings provide insights into molecular markers and GS breeding for the Yunong-black pigs.
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Affiliation(s)
- Ziyi Wu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Tengfei Dou
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Liyao Bai
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Jinyi Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Feng Yang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xuelei Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Ruimin Qiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xiu-Ling Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
| | - Xin-Jian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan, China
- Sanya Institute, Hainan Academy of Agricultural Science, Sanya, Hainan, China
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Using phenotypic and genotypic big data to investigate the effect of muscle fiber characteristics on meat quality and eating quality traits in pigs. Meat Sci 2023; 198:109122. [PMID: 36706711 DOI: 10.1016/j.meatsci.2023.109122] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 01/16/2023] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Abstract
Determining genetic correlations (GCs) between phenotypes that can be replicated across breeds or generations is important for animal breeding. A comprehensive and objective evaluation of this is dependent on enough variations in the studied phenotypes. To this end, we constructed a worldwide distributed eight-breeds crossbreed mosaic pig population and estimated the genetic and phenotypic correlations of muscle fiber characteristics (MFCs) with meat quality and eating quality traits using F6 and F7 generations (∼590 samples/generation) of this population. The GCs of the density of type IIA fibers and type IIB fibers with the loin-eye area, a*, color score, firmness score, and those of the proportions of the two fiber types with pH24h and b* were moderate to high (|rg| ≥ 0.3) in both populations. We also obtained moderate to high GCs of mean fiber density with five sensory quality traits. Our results provide an important reference for improving meat quality through the genetic regulation of MFCs.
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Luo W, Xu Y, Gu X, Zhang J, Wang J, Geng F. Divergence of Liver Lipidomes in Tibetan and Yorkshire Pigs Living at Different Altitudes. Molecules 2023; 28:molecules28072991. [PMID: 37049754 PMCID: PMC10095695 DOI: 10.3390/molecules28072991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/24/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
The Tibetan pig is a characteristic breed of the Qinghai-Tibet Plateau with distinct physiological and meat quality attributes. The liver lipid profile can offer an important perspective to explore the uniqueness of Tibetan pigs. A quantitative comparison of liver lipidomes revealed significant differences in the lipid profiles between Tibetan and Yorkshire pigs raised at different altitudes. The abundance of lipids in the livers of pigs raised at a high altitude was higher than that of pigs raised at a lower altitude, whereas the abundance of lipids in the livers of Yorkshire pigs was higher than that of Tibetan pigs raised at the same altitude. Of the 1101 lipids identified, 323 and 193 differentially abundant lipids (DALs) were identified in the pairwise comparisons of Tibetan and Yorkshire pigs raised at different altitudes, respectively. The DALs of Tibetan pigs consisted mainly of 161 triglycerides, along with several acylcarnitines, represented by carnitine C2:0, and significant changes in the abundance of some phospholipids. The DALs of Yorkshire pigs were more complex, with significant increases in the abundance of triglycerides, cholesteryl esters, and free fatty acids, and decreases in the abundance of some phospholipids. This research provides strong theoretical and data support for the high-quality development of the highland livestock industry.
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Affiliation(s)
- Wei Luo
- Meat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
| | - Yisha Xu
- Meat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
| | - Xuedong Gu
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China
| | - Jiamin Zhang
- Meat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
| | - Jinqiu Wang
- Meat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
| | - Fang Geng
- Meat Processing Key Laboratory of Sichuan Province, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
- Correspondence:
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Heidaritabar M, Bink MCAM, Dervishi E, Charagu P, Huisman A, Plastow GS. Genome-wide association studies for additive and dominance effects for body composition traits in commercial crossbred Piétrain pigs. J Anim Breed Genet 2023. [PMID: 36883263 DOI: 10.1111/jbg.12768] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/18/2023] [Indexed: 03/09/2023]
Abstract
Fat depth (FD) and muscle depth (MD) are economically important traits and used to estimate carcass lean content (LMP), which is one of the main breeding objectives in pig breeding programmes. We assessed the genetic architectures of body composition traits for additive and dominance effects in commercial crossbred Piétrain pigs using both 50 K array and sequence genotypes. We first performed a genome-wide association study (GWAS) using single-marker association analysis with a false discovery rate of 0.1. Then, we estimated the additive and dominance effects of the most significant variant in the quantitative trait loci (QTL) regions. It was investigated whether the use of whole-genome sequence (WGS) will improve the QTL detection (both additive and dominance) with a higher power compared with lower density SNP arrays. Our results showed that more QTL regions were detected by WGS compared with 50 K array (n = 54 vs. n = 17). Of the novel associated regions associated with FD and LMP and detected by WGS, the most pronounced peak was on SSC13, situated at ~116-118, 121-127 and 129-134 Mbp. Additionally, we found that only additive effects contributed to the genetic architecture of the analysed traits and no significant dominance effects were found for the tested SNPs at QTL regions, regardless of panel density. The associated SNPs are located in or near several relevant candidate genes. Of these genes, GABRR2, GALR1, RNGTT, CDH20 and MC4R have been previously reported as being associated with fat deposition traits. However, the genes on SSC1 (ZNF292, ORC3, CNR1, SRSF12, MDN1, TSHZ1, RELCH and RNF152) and SSC18 (TTC26 and KIAA1549) have not been reported previously to our best knowledge. Our current findings provide insights into the genomic regions influencing composition traits in Piétrain pigs.
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Affiliation(s)
- Marzieh Heidaritabar
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Marco C A M Bink
- Hendrix Genetics Research, Technology & Services B.V., Boxmeer, the Netherlands
| | - Elda Dervishi
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Patrick Charagu
- Hendrix Genetics, Swine Business Unit, Regina, Saskatchewan, Canada
| | - Abe Huisman
- Hendrix Genetics Research, Technology & Services B.V., Boxmeer, the Netherlands
| | - Graham S Plastow
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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7
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Tao L, Wang LG, Adeola AC, Zhang LC, Li LW, Li QL, Cen DJ, Yan C, Ma ZS, Wang LX, Xie HB, Zhang YP. Associations of autozygosity with economic important traits in a cross of Eurasian pigs. J Genet Genomics 2023; 50:216-220. [PMID: 36152906 DOI: 10.1016/j.jgg.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/30/2022] [Accepted: 09/16/2022] [Indexed: 10/14/2022]
Affiliation(s)
- Lin Tao
- 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, Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Li-Gang Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, 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, Yunnan 650223, China
| | - Long-Chao Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lian-Wei Li
- Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Qing-Long Li
- 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, Yunnan 650223, China; State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, School of Life Science, Yunnan University, Kunming, Yunnan 650091, China
| | - Dao-Ji Cen
- 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, Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Chen Yan
- 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, Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Zhan-Shan Ma
- Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Li-Xian Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, 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, Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, 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, Yunnan 650223, China; State Key Laboratory for Conservation and Utilization of Bio-resource in Yunnan, School of Life Science, Yunnan University, Kunming, Yunnan 650091, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China.
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8
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Zhong L, Zheng M, Huang Y, Jiang T, Yang B, Huang L, Ma J. An atlas of expression quantitative trait loci of microRNA in longissimus muscle of eight-way crossbred pigs. J Genet Genomics 2023:S1673-8527(23)00046-2. [PMID: 36822265 DOI: 10.1016/j.jgg.2023.02.007] [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: 10/10/2022] [Revised: 02/03/2023] [Accepted: 02/05/2023] [Indexed: 02/24/2023]
Abstract
MicroRNAs (miRNAs) are key regulators of myocyte development and traits, yet insight into the genetic basis of variation in miRNA expression is still limited. Here, we present a systematic analysis of expression quantitative trait loci (eQTL) for miRNA profiling in longissimus muscle of pigs from an eight-breed crossed heterogeneous population. By integrating whole-genome sequencing and miRNAomics data, we map 54 cis- and 292 trans-eQTLs at high resolution that are associated with the expression of 54 and 92 miRNAs, respectively. Twenty-three trans-acting loci are identified to affect the expression of nine myomiRs (known muscle-specific miRNAs). MiRNAs in mammalian conserved miRNA clusters are found to be subjected to regulation by shared cis-eQTLs, while the expression of mature miRNA-5p/-3p counterparts is more likely to be regulated by different cis-eQTLs. Fine mapping and bioinformatics analyses pinpoint the peak cis-eSNP of miR-4331-5p, rs344650810, which is located in its seed region, as a causal variant for the changes in expression and function of this miRNA. Additionally, rs344650810 is significantly (P < 0.01) correlated with the density and percentage of type I muscle fibers. Altogether, this study provides a comprehensive atlas of miRNA-eQTLs in porcine skeletal muscle and new insights into regulatory mechanisms of miRNA expression.
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Affiliation(s)
- Liepeng Zhong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Min Zheng
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Yizhong Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Tao Jiang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Bin Yang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
| | - Lusheng Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China.
| | - Junwu Ma
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China.
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9
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Wang H, Wang X, Li M, Sun H, Chen Q, Yan D, Dong X, Pan Y, Lu S. Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population. Front Genet 2023; 14:1001352. [PMID: 36814900 PMCID: PMC9939654 DOI: 10.3389/fgene.2023.1001352] [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: 07/23/2022] [Accepted: 01/24/2023] [Indexed: 02/08/2023] Open
Abstract
Meat quality traits (MQTs) have gained more attention from breeders due to their increasing economic value in the commercial pig industry. In this genome-wide association study (GWAS), 223 four-way intercross pigs were genotyped using the specific-locus amplified fragment sequencing (SLAF-seq) and phenotyped for PH at 45 min post mortem (PH45), meat color score (MC), marbling score (MA), water loss rate (WL), drip loss (DL) in the longissimus muscle, and cooking loss (CL) in the psoas major muscle. A total of 227, 921 filtered single nucleotide polymorphisms (SNPs) evenly distributed across the entire genome were detected to perform GWAS. A total of 64 SNPs were identified for six meat quality traits using the mixed linear model (MLM), of which 24 SNPs were located in previously reported QTL regions. The phenotypic variation explained (PVE) by the significant SNPs was from 2.43% to 16.32%. The genomic heritability estimates based on SNP for six meat-quality traits were low to moderate (0.07-0.47) being the lowest for CL and the highest for DL. A total of 30 genes located within 10 kb upstream or downstream of these significant SNPs were found. Furthermore, several candidate genes for MQTs were detected, including pH45 (GRM8), MC (ANKRD6), MA (MACROD2 and ABCG1), WL (TMEM50A), CL (PIP4K2A) and DL (CDYL2, CHL1, ABCA4, ZAG and SLC1A2). This study provided substantial new evidence for several candidate genes to participate in different pork quality traits. The identification of these SNPs and candidate genes provided a basis for molecular marker-assisted breeding and improvement of pork quality traits.
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Affiliation(s)
- Huiyu Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China,Faculty of Animal Science, Xichang University, Xichang, Sichuan, China
| | - Xiaoyi Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Mingli Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Hao Sun
- Faculty of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Qiang Chen
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yuchun Pan
- Faculty of Animal Science, Zhejiang University, Hangzhou, Zhejiang, China,*Correspondence: Yuchun Pan, ; Shaoxiong Lu,
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China,*Correspondence: Yuchun Pan, ; Shaoxiong Lu,
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10
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Huang Y, Cai L, Duan Y, Zeng Q, He M, Wu Z, Zou X, Zhou M, Zhang Z, Xiao S, Yang B, Ma J, Huang L. Whole-genome sequence-based association analyses on an eight-breed crossed heterogeneous stock of pigs reveal the genetic basis of skeletal muscle fiber characteristics. Meat Sci 2022; 194:108974. [PMID: 36167013 DOI: 10.1016/j.meatsci.2022.108974] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 08/02/2022] [Accepted: 09/05/2022] [Indexed: 10/14/2022]
Abstract
Skeletal muscle fiber characteristics (MFCs) have been extensively studied due to their importance to human health and athletic ability, as well as to the quantity and quality of livestock meat production. Hence, we performed a genome-wide association study (GWAS) on nine muscle fiber traits by using whole genome sequence data in an eight-breed crossed heterogeneous stock pig population. This GWAS revealed 67 quantitative trait loci (QTLs) for these traits. The most significant GWAS signal was detected in the region of Sus scrofa chromosome 12 (SSC12) containing the MYH gene family. Notably, we identified a significant SNP rs322008693 (P = 7.52E-09) as the most likely causal mutation for the total number of muscle fibers (TNMF) QTL on SSC1. The results of EMSA and luciferase assays indicated that the rs322008693 SNP resided in a functional element. These findings provide valuable molecular markers for pig meat production selection as well as for deciphering the genetic mechanisms of the muscle fiber physiology.
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Affiliation(s)
- Yizhong Huang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Liping Cai
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yanyu Duan
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Qingjie Zeng
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Maozhang He
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zhongping Wu
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Xiaoxiao Zou
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Mengqing Zhou
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Zhou Zhang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Shijun Xiao
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Bin Yang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Junwu Ma
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
| | - Lusheng Huang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
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11
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Li H, Xu C, Meng F, Yao Z, Fan Z, Yang Y, Meng X, Zhan Y, Sun Y, Ma F, Yang J, Yang M, Yang J, Wu Z, Cai G, Zheng E. Genome-Wide Association Studies for Flesh Color and Intramuscular Fat in (Duroc × Landrace × Large White) Crossbred Commercial Pigs. Genes (Basel) 2022; 13:2131. [PMID: 36421806 PMCID: PMC9690869 DOI: 10.3390/genes13112131] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 11/12/2022] [Accepted: 11/12/2022] [Indexed: 07/30/2023] Open
Abstract
The intuitive impression of pork is extremely important in terms of whether consumers are enthusiastic about purchasing it. Flesh color and intramuscular fat (IMF) are indispensable indicators in meat quality assessment. In this study, we determined the flesh color and intramuscular fat at 45 min and 12 h after slaughter (45 mFC, 45 mIMF, 12 hFC, and 12 hIMF) of 1518 commercial Duroc × Landrace × Large White (DLY) pigs. We performed a single nucleotide polymorphism (SNP) genome-wide association study (GWAS) analysis with 28,066 SNPs. This experiment found that the correlation between 45 mFC and 12 hFC was 0.343. The correlation between 45 mIMF and 12 hIMF was 0.238. The heritability of the traits 45 mFC, 12 hFC, 45 mIMF, and 12 hIMF was 0.112, 0.217, 0.139, and 0.178, respectively, and we identified seven SNPs for flesh color and three SNPs for IMF. Finally, several candidate genes regulating these four traits were identified. Three candidate genes related to flesh color were provided: SNCAIP and PRR16 on SSC2, ST3GAL4 on SSC5, and GALR1 on SSC1. A total of three candidate genes related to intramuscular fat were found, including ABLIM3 on SSC2, DPH5 on SSC4, and DOCK10 on SSC15. Furthermore, GO and KEGG analysis revealed that these genes are involved in the regulation of apoptosis and are implicated in functions such as pigmentation and skeletal muscle metabolism. This study applied GWAS to analyze the scoring results of flesh color and IMF in different time periods, and it further revealed the genetic structure of flesh color and IMF traits, which may provide important genetic loci for the subsequent improvement of pig meat quality traits.
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Affiliation(s)
- Hao Li
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Cineng Xu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Fanming Meng
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Zekai Yao
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Zhenfei Fan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Yingshan Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Xianglun Meng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Yuexin Zhan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Ying Sun
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Fucai Ma
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Jifei Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
| | - Ming Yang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
- Yunfu Subcenter of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu 527400, China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China
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12
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Zhuang Z, Wu J, Xu C, Ruan D, Qiu Y, Zhou S, Ding R, Quan J, Yang M, Zheng E, Wu Z, Yang J. The Genetic Architecture of Meat Quality Traits in a Crossbred Commercial Pig Population. Foods 2022; 11:foods11193143. [PMID: 36230219 PMCID: PMC9563986 DOI: 10.3390/foods11193143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/25/2022] Open
Abstract
Meat quality is of importance in consumer acceptance and purchasing tendency of pork. However, the genetic architecture of pork meat quality traits remains elusive. Herein, we conducted genome-wide association studies to detect single nucleotide polymorphisms (SNPs) and genes affecting meat pH and meat color (L*, lightness; a*, redness; b*, yellowness) in 1518 three-way crossbred pigs. All individuals were genotyped using the GeneSeek Porcine 50K BeadChip. In sum, 30 SNPs and 20 genes are found to be associated with eight meat quality traits. Notably, we detect one significant quantitative trait locus (QTL) on SSC15 with a 143 kb interval for meat pH (pH_12h), together with the most promising candidate TNS1. Interestingly, two newly identified SNPs located in the TTLL4 gene demonstrate the highest phenotypic variance of pH_12h in this QTL, at 2.67%. The identified SNPs are useful for the genetic improvement of meat quality traits in pigs by assigning higher weights to associated SNPs in genomic selection.
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Affiliation(s)
- Zhanwei Zhuang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jie Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Cineng Xu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Donglin Ruan
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yibin Qiu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Shenping Zhou
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Rongrong Ding
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Zhongxin Breeding Technology Co., Ltd., Guangzhou 511466, China
| | - Jianping Quan
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Ming Yang
- College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
- Yunfu Subcenter of Guangdong Laboratory for Lingnan Modern Agriculture, Yunfu 527400, China
| | - Jie Yang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, South China Agricultural University, Guangzhou 510642, China
- Correspondence:
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13
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Zhang Y, Zhang Y, Li H, Guo T, Jia J, Zhang P, Wang L, Xia N, Qian Q, Peng H, Pan Z, Liu D, Zhao L. Comparison of Nutrition and Flavor Characteristics of Five Breeds of Pork in China. Foods 2022; 11:foods11172704. [PMID: 36076889 PMCID: PMC9455266 DOI: 10.3390/foods11172704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 11/22/2022] Open
Abstract
To characterize the quality of widely consumed pork in China, the chemical compositions and other indexes of five breeds of pork were compared. The results indicated that the moisture content, sensory flavor, and overall acceptability of Pipa pork (PPP) were superior to other breeds. The fat content and essential amino acids (EAA) of Yihao native pork (YNP) were significantly (p < 0.05) higher than in other breeds. The protein content, the total amount of amino acids, and perceptible flavor of Tibetan black pork (TBP) were higher than in other breeds. The protein nutrition profiles of manor black pork (MBP) and TBP were better than in others. The equivalent umami concentration (EUC) value of white pork (WP) was significantly (p < 0.05) higher than in others; however, the health risk of its fatty acid content was higher. There were unique protein and flavor chemicals in YNP, TBP, and PPP, which may be useful for distinguishing their authenticity.
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Affiliation(s)
- Yin Zhang
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
- Correspondence: ; Tel./Fax: +86-28-84616805
| | - Yingjie Zhang
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Hui Li
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Tianrong Guo
- Chengdu Institute of Food Inspection, Chengdu 611130, China
| | - Jianlin Jia
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Pengcheng Zhang
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Linguo Wang
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Ning Xia
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Qin Qian
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Haichuan Peng
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Zhongli Pan
- Department of Biological and Agricultural Engineering, University of California, Davis, CA 95616, USA
| | - Dayu Liu
- Meat Processing Key Laboratory of Sichuan Province, Chengdu University, Chengdu 610106, China
| | - Liming Zhao
- State Key Laboratory of Bioreactor Engineering, R&D Center of Separation and Extraction Technology in Fermentation Industry, East China University of Science and Technology, Shanghai 200237, China
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14
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Ding R, Zhuang Z, Qiu Y, Wang X, Wu J, Zhou S, Ruan D, Xu C, Hong L, Gu T, Zheng E, Cai G, Huang W, Wu Z, Yang J. A composite strategy of genome-wide association study and copy number variation analysis for carcass traits in a Duroc pig population. BMC Genomics 2022; 23:590. [PMID: 35964005 PMCID: PMC9375371 DOI: 10.1186/s12864-022-08804-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 07/31/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Carcass traits are important in pig breeding programs for improving pork production. Understanding the genetic variants underlies complex phenotypes can help explain trait variation in pigs. In this study, we integrated a weighted single-step genome-wide association study (wssGWAS) and copy number variation (CNV) analyses to map genetic variations and genes associated with loin muscle area (LMA), loin muscle depth (LMD) and lean meat percentage (LMP) in Duroc pigs. RESULTS Firstly, we performed a genome-wide analysis for CNV detection using GeneSeek Porcine SNP50 Bead chip data of 3770 pigs. A total of 11,100 CNVs were detected, which were aggregated by overlapping 695 CNV regions (CNVRs). Next, we investigated CNVs of pigs from the same population by whole-genome resequencing. A genome-wide analysis of 21 pigs revealed 23,856 CNVRs that were further divided into three categories (851 gain, 22,279 loss, and 726 mixed), which covered 190.8 Mb (~ 8.42%) of the pig autosomal genome. Further, the identified CNVRs were used to determine an overall validation rate of 68.5% for the CNV detection accuracy of chip data. CNVR association analyses identified one CNVR associated with LMA, one with LMD and eight with LMP after applying stringent Bonferroni correction. The wssGWAS identified eight, six and five regions explaining more than 1% of the additive genetic variance for LMA, LMD and LMP, respectively. The CNVR analyses and wssGWAS identified five common regions, of which three regions were associated with LMA and two with LMP. Four genes (DOK7, ARAP1, ELMO2 and SLC13A3) were highlighted as promising candidates according to their function. CONCLUSIONS We determined an overall validation rate for the CNV detection accuracy of low-density chip data and constructed a genomic CNV map for Duroc pigs using resequencing, thereby proving a value genetic variation resource for pig genome research. Furthermore, our study utilized a composite genetic strategy for complex traits in pigs, which will contribute to the study for elucidating the genetic architecture that may be influenced and regulated by multiple forms of variations.
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Affiliation(s)
- Rongrong Ding
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Guangdong Wens Breeding Swine Technology Co., Ltd, Guangdong, 527439, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Zhanwei Zhuang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Yibin Qiu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Xingwang Wang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China
| | - Jie Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Shenping Zhou
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Donglin Ruan
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Cineng Xu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Linjun Hong
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Ting Gu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Enqin Zheng
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Gengyuan Cai
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China
| | - Wen Huang
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Zhenfang Wu
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China. .,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China.
| | - Jie Yang
- College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, P.R. China. .,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, China.
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15
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Sun Y, Xiao Y, Li C, Yang J, Yang S, Yang B, Huang L. A parallel survey on the fatty acid composition in backfat and longissimus lumborum and comparison of their associations with growth and carcass traits in pigs. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.104984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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16
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Wu Z, Gong H, Zhou Z, Jiang T, Lin Z, Li J, Xiao S, Yang B, Huang L. Mapping short tandem repeats for liver gene expression traits helps prioritize potential causal variants for complex traits in pigs. J Anim Sci Biotechnol 2022; 13:8. [PMID: 35034641 PMCID: PMC8762894 DOI: 10.1186/s40104-021-00658-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/25/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Short tandem repeats (STRs) were recently found to have significant impacts on gene expression and diseases in humans, but their roles on gene expression and complex traits in pigs remain unexplored. This study investigates the effects of STRs on gene expression in liver tissues based on the whole-genome sequences and RNA-Seq data of a discovery cohort of 260 F6 individuals and a validation population of 296 F7 individuals from a heterogeneous population generated from crosses among eight pig breeds. RESULTS We identified 5203 and 5868 significantly expression STRs (eSTRs, FDR < 1%) in the F6 and F7 populations, respectively, most of which could be reciprocally validated (π1 = 0.92). The eSTRs explained 27.5% of the cis-heritability of gene expression traits on average. We further identified 235 and 298 fine-mapped STRs through the Bayesian fine-mapping approach in the F6 and F7 pigs, respectively, which were significantly enriched in intron, ATAC peak, compartment A and H3K4me3 regions. We identified 20 fine-mapped STRs located in 100 kb windows upstream and downstream of published complex trait-associated SNPs, which colocalized with epigenetic markers such as H3K27ac and ATAC peaks. These included eSTR of the CLPB, PGLS, PSMD6 and DHDH genes, which are linked with genome-wide association study (GWAS) SNPs for blood-related traits, leg conformation, growth-related traits, and meat quality traits, respectively. CONCLUSIONS This study provides insights into the effects of STRs on gene expression traits. The identified eSTRs are valuable resources for prioritizing causal STRs for complex traits in pigs.
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Affiliation(s)
- Zhongzi Wu
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Huanfa Gong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Zhimin Zhou
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Tao Jiang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Ziqi Lin
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Jing Li
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Shijun Xiao
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Bin Yang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
| | - Lusheng Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
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17
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Li J, Peng S, Zhong L, Zhou L, Yan G, Xiao S, Ma J, Huang L. Identification and validation of a regulatory mutation upstream of the BMP2 gene associated with carcass length in pigs. Genet Sel Evol 2021; 53:94. [PMID: 34906088 PMCID: PMC8670072 DOI: 10.1186/s12711-021-00689-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 12/01/2021] [Indexed: 11/10/2022] Open
Abstract
Background Carcass length is very important for body size and meat production for swine, thus understanding the genetic mechanisms that underly this trait is of great significance in genetic improvement programs for pigs. Although many quantitative trait loci (QTL) have been detected in pigs, very few have been fine-mapped to the level of the causal mutations. The aim of this study was to identify potential causal single nucleotide polymorphisms (SNPs) for carcass length by integrating a genome-wide association study (GWAS) and functional assays. Results Here, we present a GWAS in a commercial Duroc × (Landrace × Yorkshire) (DLY) population that reveals a prominent association signal (P = 4.49E−07) on pig chromosome 17 for carcass length, which was further validated in two other DLY populations. Within the detected 1 Mb region, the BMP2 gene stood out as the most likely causal candidate because of its functions in bone growth and development. Whole-genome gene expression studies showed that the BMP2 gene was differentially expressed in the cartilage tissues of pigs with extreme carcass length. Then, we genotyped an additional 267 SNPs in 500 selected DLY pigs, followed by further whole-genome SNP imputation, combined with deep genome resequencing data on multiple pig breeds. Reassociation analyses using genotyped and imputed SNP data revealed that the rs320706814 SNP, located approximately 123 kb upstream of the BMP2 gene, was the strongest candidate causal mutation, with a large association with carcass length, with a ~ 4.2 cm difference in length across all three DLY populations (N = 1501; P = 3.66E−29). This SNP segregated in all parental lines of the DLY (Duroc, Large White and Landrace) and was also associated with a significant effect on body length in 299 pure Yorkshire pigs (P = 9.2E−4), which indicates that it has a major value for commercial breeding. Functional assays showed that this SNP is likely located within an enhancer and may affect the binding affinity of transcription factors, thereby regulating BMP2 gene expression. Conclusions Taken together, these results suggest that the rs320706814 SNP on pig chromosome 17 is a putative causal mutation for carcass length in the widely used DLY pigs and has great value in breeding for body size in pigs. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00689-0.
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Affiliation(s)
- Jing Li
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Song Peng
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Liepeng Zhong
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Lisheng Zhou
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Guorong Yan
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Shijun Xiao
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Junwu Ma
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - Lusheng Huang
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, China.
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18
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Ai H, Zhang M, Yang B, Goldberg A, Li W, Ma J, Brandt D, Zhang Z, Nielsen R, Huang L. Human-Mediated Admixture and Selection Shape the Diversity on the Modern Swine (Sus scrofa) Y Chromosomes. Mol Biol Evol 2021; 38:5051-5065. [PMID: 34343337 PMCID: PMC8557463 DOI: 10.1093/molbev/msab230] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Throughout its distribution across Eurasia, domestic pig (Sus scrofa) populations have acquired differences through natural and artificial selection, and have often interbred. We resequenced 80 Eurasian pigs from nine different Asian and European breeds; we identify 42,288 reliable SNPs on the Y chromosome in a panel of 103 males, among which 96.1% are newly detected. Based on these new data, we elucidate the evolutionary history of pigs through the lens of the Y chromosome. We identify two highly divergent haplogroups: one present only in Asia and one fixed in Europe but present in some Asian populations. Analyzing the European haplotypes present in Asian populations, we find evidence of three independent waves of introgression from Europe to Asia in last 200 years, agreeing well with the literature and historical records. The diverse European lineages were brought in China by humans and left significant imprints not only on the autosomes but also on the Y chromosome of geographically and genetically distinct Chinese pig breeds. We also find a general excess of European ancestry on Y chromosomes relative to autosomes in Chinese pigs, an observation that cannot be explained solely by sex-biased migration and genetic drift. The European Y haplotype is associated with leaner meat production, and we hypothesize that the European Y chromosome increased in frequency in Chinese populations due to artificial selection. We find evidence of Y chromosomal gene flow between Sumatran wild boar and Chinese pigs. Our results demonstrate how human-mediated admixture and selection shaped the distribution of modern swine Y chromosomes.
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Affiliation(s)
- Huashui Ai
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Mingpeng Zhang
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Bin Yang
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Amy Goldberg
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Wanbo Li
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Junwu Ma
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Debora Brandt
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
| | - Zhiyan Zhang
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
| | - Lusheng Huang
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, Jiangxi Province, P.R. China
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19
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Liu Q, Long Y, Zhang YF, Zhang ZY, Yang B, Chen CY, Huang LS, Su Y. Phenotypic and genetic correlations of pork myoglobin content with meat colour and other traits in an eight breed-crossed heterogeneous population. Animal 2021; 15:100364. [PMID: 34601209 DOI: 10.1016/j.animal.2021.100364] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 08/18/2021] [Accepted: 08/23/2021] [Indexed: 10/20/2022] Open
Abstract
Meat colour is one of the most important meat quality traits affecting consumption desire. Genetic improvement for meat colour traits is not so easy because pigs can be phenotyped only after slaughter. Besides the parameters from the optical instrument, other indexes that reflect the material basis of meat colour should be measured accurately and used in the genomic analysis. Myoglobin (Mb) is the main chemical component determining meat colour. However, to what extent the Mb content contributes to meat colour, and whether it can be used as a trait for pig breeding to improve meat colour, and the correlations of Mb content with complex porcine traits are largely unknown. To address these questions, we measured the muscle Mb content in 624 pigs from the 7th generation of a specially designed eight breed-crossed pig heterogeneous population, evaluated its phenotypic and genetic correlations with longissimus thoracis colour score at 24 h after slaughter. More than that, we also systematically phenotyped more than 100 traits on these animals to evaluate the potential correlations between muscle Mb content and economically important traits. Our results showed that the average muscle Mb content in the 624 pigs was 1.00 mg/g, ranging from 0.51 to 2.17 mg/g. We found that higher Mb content usually correlated with favourable meat colour, higher marbling score, less moisture content, and less drip loss. Genetic correlation analysis between muscle Mb content and 101 traits measured in this study shows that Mb content is also significantly correlated with 31 traits, including marbling, shear force, firmness, and juiciness. To our knowledge, this is one of the largest studies about the correlations of muscle Mb content with as many as 100 various traits in a large-scale genetically diversified population. Our results showed that the Mb content could be a selection parameter for the genetic improvement of meat colour. The selection for higher Mb content will also benefit marbling, shear force, firmness, and overall liking but might not affect the growth, carcass, and fat deposition traits.
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Affiliation(s)
- Q Liu
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - Y Long
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China; Present address: Taihe Aomu Breeding Company Limited, Fujian Aonong Biological Technology Group Incorporation Limited, 343713 Taihe, China
| | - Y F Zhang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - Z Y Zhang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - B Yang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - C Y Chen
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - L S Huang
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China
| | - Y Su
- State Key Laboratory of Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045 Nanchang, China.
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20
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Warner RD, Wheeler TL, Ha M, Li X, Bekhit AED, Morton J, Vaskoska R, Dunshea FR, Liu R, Purslow P, Zhang W. Meat tenderness: advances in biology, biochemistry, molecular mechanisms and new technologies. Meat Sci 2021; 185:108657. [PMID: 34998162 DOI: 10.1016/j.meatsci.2021.108657] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/09/2021] [Accepted: 08/10/2021] [Indexed: 12/17/2022]
Abstract
Meat tenderness is an important quality trait critical to consumer acceptance, and determines satisfaction, repeat purchase and willingness-to-pay premium prices. Recent advances in tenderness research from a variety of perspectives are presented. Our understanding of molecular factors influencing tenderization are discussed in relation to glycolysis, calcium release, protease activation, apoptosis and heat shock proteins, the use of proteomic analysis for monitoring changes, proteomic biomarkers and oxidative/nitrosative stress. Each of these structural, metabolic and molecular determinants of meat tenderness are then discussed in greater detail in relation to animal variation, postmortem influences, and changes during cooking, with a focus on recent advances. Innovations in postmortem technologies and enzymes for meat tenderization are discussed including their potential commercial application. Continued success of the meat industry relies on ongoing advances in our understanding, and in industry innovation. The recent advances in fundamental and applied research on meat tenderness in relation to the various sectors of the supply chain will enable such innovation.
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Affiliation(s)
- Robyn D Warner
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia.
| | - Tommy L Wheeler
- U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Minh Ha
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia
| | - Xin Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | | | - James Morton
- Department of Wine Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, Christchurch, New Zealand
| | - Rozita Vaskoska
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia
| | - Frank R Dunshea
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Rui Liu
- School of Food Science and Technology, Yangzhou University, Yangzhou, Jiangsu 225127, PR China
| | - Peter Purslow
- Tandil Centre for Veterinary Investigation (CIVETAN), National University of Central Buenos Aires Province, Tandil B7001BBO, Argentina
| | - Wangang Zhang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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21
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Huang C, Zhong L, Zou X, Huang Y, Cai L, Ma J. Evidence Against the Causal Relationship Between a Putative Cis-Regulatory Variant of MYH3 and Intramuscular Fat Content in Pigs. Front Vet Sci 2021; 8:672852. [PMID: 34150892 PMCID: PMC8206472 DOI: 10.3389/fvets.2021.672852] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/29/2021] [Indexed: 01/12/2023] Open
Abstract
Improving meat quality has become the main goal of modern pig breeding. Intramuscular fat content (IMF) is an important trait influencing meat quality of livestock, but the molecular mechanism behind this trait is still unclear. Recently, Cho et al. reported the discovery of the first causal mutation affecting IMF and red flesh color (a*) in pigs, namely XM_013981330.2:g.−1805_−1810del, a 6-bp deletion variant in the porcine MYH3 promoter region. The objective of this study was to reassess the causality of this mutation for its potential commercial application. By Sanger sequencing, we firstly identified several new variants (including a 4-bp deletion) at or near the 6-bp deletion site, which formed four haplotypes in multiple breeds. Unexpectedly, the 6-bp deletion allele, previously determined as the MYH3 Q allele because of its significantly positive effect on IMF and a*, was found not only in Chinese indigenous breeds, but also in four western commercial breeds with relatively lower IMF levels, including Duroc, Large White, Landrace and Pietrain. More surprisingly, we found that the MYH3 Q allele and the haplotypes harboring it had no significant effects on IMF, marbling and color score in three large-scale divergent pig populations: the heterogeneous F6 and F7 pigs and commercial crossbred Duroc × (Landrace × Yorkshire) pigs. Transient transfection analysis in porcine satellite cells showed that the 6-bp deletion variants had a negligible effect on transcription of reporter gene, but could attenuate the MRF (myogenesis regulatory factors)-induced increase in luciferase activity of the MYH3 promoter vector. The MYH3 protein level in muscle did not differ significantly among the haplotype groups. Therefore, our results cannot support the causal relationship between the 6-bp deletion in MYH3 and IMF trait, suggesting that the causal mutation for the IMF QTL on SSC12 needs to be further identified.
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Affiliation(s)
- Cong Huang
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Liepeng Zhong
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Xiaoxiao Zou
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Yizhong Huang
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Liping Cai
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Junwu Ma
- State Key Laboratory for Swine Genetics, Breeding, and Production Technology, Jiangxi Agricultural University, Nanchang, China
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22
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Wu Z, Gong H, Zhang M, Tong X, Ai H, Xiao S, Perez-Enciso M, Yang B, Huang L. A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations. Genet Sel Evol 2021; 53:39. [PMID: 33892623 PMCID: PMC8063339 DOI: 10.1186/s12711-021-00631-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 04/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background Short tandem repeats (STRs) are genetic markers with a greater mutation rate than single nucleotide polymorphisms (SNPs) and are widely used in genetic studies and forensics. However, most studies in pigs have focused only on SNPs or on a limited number of STRs. Results This study screened 394 deep-sequenced genomes from 22 domesticated pig breeds/populations worldwide, wild boars from both Europe and Asia, and numerous outgroup Suidaes, and identified a set of 878,967 polymorphic STRs (pSTRs), which represents the largest repository of pSTRs in pigs to date. We found multiple lines of evidence that pSTRs in coding regions were affected by purifying selection. The enrichment of trinucleotide pSTRs in coding sequences (CDS), 5′UTR and H3K4me3 regions suggests that trinucleotide STRs serve as important components in the exons and promoters of the corresponding genes. We demonstrated that, compared to SNPs, pSTRs provide comparable or even greater accuracy in determining the breed identity of individuals. We identified pSTRs that showed significant population differentiation between domestic pigs and wild boars in Asia and Europe. We also observed that some pSTRs were significantly associated with environmental variables, such as average annual temperature or altitude of the originating sites of Chinese indigenous breeds, among which we identified loss-of-function and/or expanded STRs overlapping with genes such as AHR, LAS1L and PDK1. Finally, our results revealed that several pSTRs show stronger signals in domestic pig—wild boar differentiation or association with the analysed environmental variables than the flanking SNPs within a 100-kb window. Conclusions This study provides a genome-wide high-density map of pSTRs in diverse pig populations based on genome sequencing data, enabling a more comprehensive characterization of their roles in evolutionary and environmental adaptation. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00631-4.
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Affiliation(s)
- Zhongzi Wu
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Huanfa Gong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Mingpeng Zhang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Xinkai Tong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Huashui Ai
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Shijun Xiao
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Miguel Perez-Enciso
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain.,ICREA, Passeig de Lluís Companys 23, Barcelona, Spain
| | - Bin Yang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
| | - Lusheng Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
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23
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Wiener P, Robert C, Ahbara A, Salavati M, Abebe A, Kebede A, Wragg D, Friedrich J, Vasoya D, Hume DA, Djikeng A, Watson M, Prendergast JGD, Hanotte O, Mwacharo JM, Clark EL. Whole-Genome Sequence Data Suggest Environmental Adaptation of Ethiopian Sheep Populations. Genome Biol Evol 2021; 13:evab014. [PMID: 33501931 PMCID: PMC7955157 DOI: 10.1093/gbe/evab014] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
Great progress has been made over recent years in the identification of selection signatures in the genomes of livestock species. This work has primarily been carried out in commercial breeds for which the dominant selection pressures are associated with artificial selection. As agriculture and food security are likely to be strongly affected by climate change, a better understanding of environment-imposed selection on agricultural species is warranted. Ethiopia is an ideal setting to investigate environmental adaptation in livestock due to its wide variation in geo-climatic characteristics and the extensive genetic and phenotypic variation of its livestock. Here, we identified over three million single nucleotide variants across 12 Ethiopian sheep populations and applied landscape genomics approaches to investigate the association between these variants and environmental variables. Our results suggest that environmental adaptation for precipitation-related variables is stronger than that related to altitude or temperature, consistent with large-scale meta-analyses of selection pressure across species. The set of genes showing association with environmental variables was enriched for genes highly expressed in human blood and nerve tissues. There was also evidence of enrichment for genes associated with high-altitude adaptation although no strong association was identified with hypoxia-inducible-factor (HIF) genes. One of the strongest altitude-related signals was for a collagen gene, consistent with previous studies of high-altitude adaptation. Several altitude-associated genes also showed evidence of adaptation with temperature, suggesting a relationship between responses to these environmental factors. These results provide a foundation to investigate further the effects of climatic variables on small ruminant populations.
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Affiliation(s)
- Pamela Wiener
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| | - Christelle Robert
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - Abulgasim Ahbara
- School of Life Sciences, University of Nottingham, United Kingdom
- Department of Zoology, Misurata University, Misurata, Libya
| | - Mazdak Salavati
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - Ayele Abebe
- Debre Berhan Research Centre, Debre Berhan, Ethiopia
| | - Adebabay Kebede
- Amhara Regional Agricultural Research Institute, Bahir Dar, Ethiopia
- LiveGene, International Livestock Research Institute, Addis Ababa, Ethiopia
| | - David Wragg
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - Juliane Friedrich
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| | - Deepali Vasoya
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| | - David A Hume
- Mater Research Institute-University of Queensland, Translational Research Institute, Brisbane, Australia
| | - Appolinaire Djikeng
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - Mick Watson
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - James G D Prendergast
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
| | - Olivier Hanotte
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
- School of Life Sciences, University of Nottingham, United Kingdom
- LiveGene, International Livestock Research Institute, Addis Ababa, Ethiopia
| | - Joram M Mwacharo
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
- Animal and Veterinary Sciences Group, Scotland’s Rural College (SRUC), Midlothian, United Kingdom
- Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
| | - Emily L Clark
- Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Midlothian, United Kingdom
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24
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Tandem mass tag-labeled quantitative proteomic analysis of tenderloins between Tibetan and Yorkshire pigs. Meat Sci 2021; 172:108343. [DOI: 10.1016/j.meatsci.2020.108343] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 08/12/2020] [Accepted: 10/12/2020] [Indexed: 12/15/2022]
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25
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Huang Z, Li Q, Li M, Li C. Transcriptome analysis reveals the long intergenic noncoding RNAs contributed to skeletal muscle differences between Yorkshire and Tibetan pig. Sci Rep 2021; 11:2622. [PMID: 33514792 PMCID: PMC7846844 DOI: 10.1038/s41598-021-82126-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/11/2021] [Indexed: 02/07/2023] Open
Abstract
The difference between the skeletal muscle growth rates of Western and domestic breeds is remarkable, but the potential regulatory mechanism involved is still unclear. Numerous studies have pointed out that long intergenic noncoding RNA (lincRNA) plays a key role in skeletal muscle development. This study used published Yorkshire (LW) and Tibetan pig (TP) transcriptome data to explore the possible role of lincRNA in the difference in skeletal muscle development between the two breeds. 138 differentially expressed lincRNAs (DELs) were obtained between the two breeds, and their potential target genes (PTGs) were predicted. The results of GO and KEGG analysis revealed that PTGs are involved in multiple biological processes and pathways related to muscle development. The quantitative trait loci (QTLs) of DELs were predicted, and the results showed that most QTLs are related to muscle development. Finally, we constructed a co-expression network between muscle development related PTGs (MDRPTGs) and their corresponding DELs on the basis of their expression levels. The expression of DELs was significantly correlated with the corresponding MDRPTGs. Also, multiple MDRPTGs are involved in the key regulatory pathway of muscle fiber hypertrophy, which is the IGF-1-AKT-mTOR pathway. In summary, multiple lincRNAs that may cause differences in skeletal muscle development between the two breeds were identified, and their possible regulatory roles were explored. The findings of this study may provide a valuable reference for further research on the role of lincRNA in skeletal muscle development.
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Affiliation(s)
- Ziying Huang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan, 430070, China
| | - Qianqian Li
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mengxun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan, 430070, China
| | - Changchun Li
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education and Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University, Wuhan, 430070, China. .,Guangxi Yangxiang Co., Ltd. Production Center, Guigang, 537131, China.
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26
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Huang C, Zheng M, Huang Y, Liu X, Zhong L, Ji J, Zhou L, Zeng Q, Ma J, Huang L. The effect of purine content on sensory quality of pork. Meat Sci 2020; 172:108346. [PMID: 33142155 DOI: 10.1016/j.meatsci.2020.108346] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/20/2020] [Accepted: 10/12/2020] [Indexed: 11/18/2022]
Abstract
Although high level of purine in foods is considered a risk factor for hyperuricemia and gout, purine-rich foods continue to be popular for their delicious taste. The main objective of this study was to investigate the effects of purine bases on the sensory quality of pork. A total of 406 longissimus thoracis et lumborum samples were collected from a heterogeneous F6 pig population to determine purine composition and its correlation to sensory quality of pork. The contents of total purine and two major uricogenic bases (adenine and hypoxanthine) were negatively correlated with tenderness, juiciness, oiliness and overall liking (r < -0.2, P < 0.05), but they were not significantly correlated with umami. In contrast, guanine content, which accounts for only about 10% of the total purine content, was positively correlated with umami (r = 0.15, P < 0.05), and had no significant relationships with other sensory indicators. These results imply that purine bases with different uricogenic effects also influence different sensory quality indices of pork.
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Affiliation(s)
- Cong Huang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Min Zheng
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yizhong Huang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Xianxian Liu
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Liepeng Zhong
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Jiuxiu Ji
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Lisheng Zhou
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Qingjie Zeng
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Junwu Ma
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
| | - Lusheng Huang
- State Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
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27
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Effects of different cooking methods and of the inclusion of chestnut (Castanea sativa Miller) in the finishing diet of Celta pig breed on the physicochemical parameters and volatile profile of Longissimus thoracis et lumborum muscle. Food Res Int 2020; 137:109407. [DOI: 10.1016/j.foodres.2020.109407] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 06/01/2020] [Accepted: 06/03/2020] [Indexed: 01/12/2023]
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28
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Influence of the Inclusion of Chestnut ( Castanea sativa Miller) in the Finishing Diet and Cooking Technique on the Physicochemical Parameters and Volatile Profile of Biceps femoris Muscle. Foods 2020; 9:foods9060754. [PMID: 32517270 PMCID: PMC7353582 DOI: 10.3390/foods9060754] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 01/20/2023] Open
Abstract
The aim of this study was to evaluate the influence of the diet (chestnut vs. commercial feed) and cooking techniques (roasting, grilling, frying and microwaving) on the quality of the Biceps femoris muscle of the Celta pig breed. Chemical composition, physicochemical parameters, oxidative stability and volatile profile were analysed. Overall, the inclusion of chestnuts did not affect the chemical composition, except for intramuscular fat content, which was higher in chestnut-fed pigs. The colour and shear force of cooked Biceps femoris were not affected by the finishing diet. However, a significant increase in cooking losses and thiobarbituric acid reactive substances (TBARS) value was found with the chestnuts included in the diet. In addition, the inclusion of chestnuts also modified some volatile compound that could be associated with the diet, such as furan, 2-pentyl. On the other hand, the cooking method significantly affected chemical composition (moisture, fat, protein and ash content), colour parameters, cooking loss, TBARS and volatile profile, whereas the shear force was not affected. Concretely, fried and microwave were the techniques that led to a greater presence of intramuscular fat. In addition, the frying method also showed the highest a* value, whereas the microwaved technique displayed the highest cooking loss. Regarding lipid oxidation, the fried method displayed the lower TBARS and hexanal content. On the other hand, the major volatile compounds were aldehydes in all cooking methods except for the frying technique in chestnut samples. Finally, method-frying displayed the lowest amount of total volatiles compounds, unlike grilling.
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29
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Gu X, Gao Y, Luo Z, Yang L, Chi F, Xiao J, Wang W, Geng F. In-depth mapping of the proteome of Tibetan pig tenderloin (longissimus dorsi) using offline high-pH reversed-phase fractionation and LC-MS/MS. J Food Biochem 2019; 43:e13015. [PMID: 31429109 DOI: 10.1111/jfbc.13015] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 07/29/2019] [Accepted: 08/02/2019] [Indexed: 12/11/2022]
Abstract
In recent years, Tibetan pig breeding and meat processing have developed rapidly. However, the basic physiological and biochemical characteristics of Tibetan pork have not been systematically explored. The present study conducted a high-throughput analysis of the tenderloin (longissimus dorsi) proteome of the Tibetan pigs and performed a functional annotation and bioinformatics analysis of the identified proteins. Based on offline two-dimensional liquid chromatography fractionation and MS/MS identification, a total of 1,723 proteins were identified in the tenderloin of Tibetan pigs. Gene ontology analysis and pathway enrichment analysis revealed that the proteins involved in respiration (oxidative phosphorylation, glycolysis/gluconeogenesis, citric acid cycle, and pyruvate metabolism) and protein synthesis and metabolism (proteasome, amino acid biosynthesis, endoplasmic reticulum protein processing, and ribosomes) were significantly enriched, indicating that the energy production and protein metabolism are the most important physiological processes in Tibetan pig tenderloin. Practical applications The in-depth mapping of the tenderloin (longissimus dorsi) proteome of the Tibetan pigs gives a panoramic perspective at the protein molecular level and provides important information on the mechanisms of postmortem muscle physiology and meat quality formation. Furthermore, the development of Tibetan pork storage and processing technologies would also benefit from the characterization of the biochemical properties of Tibetan pork.
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Affiliation(s)
- Xuedong Gu
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, China
| | - Yuling Gao
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, China
| | - Zhang Luo
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, China
| | - Lin Yang
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, China
| | - Fumin Chi
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, China
| | - Jing Xiao
- Meat Processing Key Laboratory of Sichuan Province, College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Wei Wang
- Meat Processing Key Laboratory of Sichuan Province, College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Fang Geng
- Meat Processing Key Laboratory of Sichuan Province, College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
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