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Xiao W, Jiang N, Ji Z, Ni M, Zhang Z, Zhao Q, Huang R, Li P, Hou L. Single-Cell RNA Sequencing Reveals the Cellular Landscape of Longissimus Dorsi in a Newborn Suhuai Pig. Int J Mol Sci 2024; 25:1204. [PMID: 38256277 PMCID: PMC10816681 DOI: 10.3390/ijms25021204] [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: 11/19/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
The introduction of single-cell RNA sequencing (scRNA-seq) technology has spurred additional advancements in analyzing the cellular composition of tissues. The longissimus dorsi (LD) in pigs serves as the primary skeletal muscle for studying meat quality in the pig industry. However, the single-cell profile of porcine LD is still in its infancy stage. In this study, we profiled the transcriptomes of 16,018 cells in the LD of a newborn Suhuai pig at single-cell resolution. Subsequently, we constructed a cellular atlas of the LD, identifying 11 distinct cell populations, including endothelial cells (24.39%), myotubes (18.82%), fibro-adipogenic progenitors (FAPs, 18.11%), satellite cells (16.74%), myoblasts (3.99%), myocytes (5.74%), Schwann cells (3.81%), smooth muscle cells (3.22%), dendritic cells (2.99%), pericytes (1.86%), and neutrophils (0.33%). CellChat was employed to deduce the cell-cell interactions by evaluating the gene expression of receptor-ligand pairs across different cell types. The results show that FAPs and pericytes are the primary signal contributors in LD. In addition, we delineated the developmental trajectory of myogenic cells and examined alterations in the expression of various marker genes and molecular events throughout various stages of differentiation. Moreover, we found that FAPs can be divided into three subclusters (NR2F2-FAPs, LPL-FAPs, and TNMD-FAPs) according to their biological functions, suggesting that the FAPs could be associated with the differentiation of tendon cell. Taken together, we constructed the cellular atlas and cell communication network in LD of a newborn Suhuai pig, and analyzed the developmental trajectory of myogenic cells and the heterogeneity of FAPs subpopulation cells. This enhances our comprehension of the molecular features involved in skeletal muscle development and the meat quality control in pigs.
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Affiliation(s)
- Wei Xiao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
| | - Nengjing Jiang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhengyu Ji
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
| | - Mengru Ni
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhaobo Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
| | - Qingbo Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
- Huai’an Academy, Nanjing Agricultural University, Huai’an 223001, China
| | - Ruihua Huang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
- Huai’an Academy, Nanjing Agricultural University, Huai’an 223001, China
| | - Pinghua Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
- Huai’an Academy, Nanjing Agricultural University, Huai’an 223001, China
| | - Liming Hou
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (W.X.); (N.J.); (Z.J.); (M.N.); (Z.Z.); (Q.Z.); (R.H.); (P.L.)
- Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China
- Key Laboratory of Pig Genetic Resources Evaluation and Utilization (Nanjing) of Ministry of Agriculture and Rural Affairs, Nanjing Agricultural University, Nanjing 210095, China
- Huai’an Academy, Nanjing Agricultural University, Huai’an 223001, China
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Wang X, Wang L, Shi L, Zhang P, Li Y, Li M, Tian J, Wang L, Zhao F. GWAS of Reproductive Traits in Large White Pigs on Chip and Imputed Whole-Genome Sequencing Data. Int J Mol Sci 2022; 23:13338. [PMID: 36362120 PMCID: PMC9656588 DOI: 10.3390/ijms232113338] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 12/09/2023] Open
Abstract
Total number born (TNB), number of stillborn (NSB), and gestation length (GL) are economically important traits in pig production, and disentangling the molecular mechanisms associated with traits can provide valuable insights into their genetic structure. Genotype imputation can be used as a practical tool to improve the marker density of single-nucleotide polymorphism (SNP) chips based on sequence data, thereby dramatically improving the power of genome-wide association studies (GWAS). In this study, we applied Beagle software to impute the 50 K chip data to the whole-genome sequencing (WGS) data with average imputation accuracy (R2) of 0.876. The target pigs, 2655 Large White pigs introduced from Canadian and French lines, were genotyped by a GeneSeek Porcine 50K chip. The 30 Large White reference pigs were the key ancestral individuals sequenced by whole-genome resequencing. To avoid population stratification, we identified genetic variants associated with reproductive traits by performing within-population GWAS and cross-population meta-analyses with data before and after imputation. Finally, several genes were detected and regarded as potential candidate genes for each of the traits: for the TNB trait: NOTCH2, KLF3, PLXDC2, NDUFV1, TLR10, CDC14A, EPC2, ORC4, ACVR2A, and GSC; for the NSB trait: NUB1, TGFBR3, ZDHHC14, FGF14, BAIAP2L1, EVI5, TAF1B, and BCAR3; for the GL trait: PPP2R2B, AMBP, MALRD1, HOXA11, and BICC1. In conclusion, expanding the size of the reference population and finding an optimal imputation strategy to ensure that more loci are obtained for GWAS under high imputation accuracy will contribute to the identification of causal mutations in pig breeding.
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Affiliation(s)
- Xiaoqing Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ligang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Liangyu Shi
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China
| | - Pengfei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Mianyan Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jingjing Tian
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lixian Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Fuping Zhao
- Key Laboratory of Animal Genetics, Breeding and Reproduction (Poultry) of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Chen B, Li D, Leng D, Kui H, Bai X, Wang T. Gut microbiota and meat quality. Front Microbiol 2022; 13:951726. [PMID: 36081790 PMCID: PMC9445620 DOI: 10.3389/fmicb.2022.951726] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Sustainable meat production is important to providing safe and quality protein sources for humans worldwide. Intensive artificial selection and high energy input into the diet of many commercial animals for the last decade has significantly increased the daily gain of body weight and shortened the raising period, but unexpectedly decreased the meat quality. The gastrointestinal tract of animals harbors a diverse and complex microbial community that plays a vital role in the digestion and absorption of nutrients, immune system development, pathogen exclusion, and meat quality. Fatty acid composition and oxidative stress in adipose and muscle tissue influences meat quality in livestock and poultry. Recent studies showed that nutraceuticals are receiving increased attention, which could alter the intestinal microbiota and regulate the fat deposition and immunity of hosts to improve their meat quality. Understanding the microbiota composition, the functions of key bacteria, and the host-microbiota interaction is crucial for the development of knowledge-based strategies to improve both animal meat quality and host health. This paper reviews the microorganisms that affect the meat quality of livestock and poultry. A greater understanding of microbial changes that accompany beneficial dietary changes will lead to novel strategies to improve livestock and poultry meat product quality.
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Affiliation(s)
- Binlong Chen
- College of Animal Science, Xichang University, Xichang, China
| | - Diyan Li
- Antibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu, China
- *Correspondence: Diyan Li,
| | - Dong Leng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Hua Kui
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xue Bai
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Tao Wang
- Antibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu, China
- Tao Wang,
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Niu H, Feng XZ, Shi CW, Zhang D, Chen HL, Huang HB, Jiang YL, Wang JZ, Cao X, Wang N, Zeng Y, Yang GL, Yang WT, Wang CF. Gut Bacterial Composition and Functional Potential of Tibetan Pigs Under Semi-Grazing. Front Microbiol 2022; 13:850687. [PMID: 35464912 PMCID: PMC9023118 DOI: 10.3389/fmicb.2022.850687] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 02/10/2022] [Indexed: 12/28/2022] Open
Abstract
Gut bacterial community plays a key role in maintaining host health. The Tibetan pig (Sus scrofa), an ancient breed in China, has been known for its high adaptability to harsh environments and for its meat quality. To understand the underlying mechanisms facilitating to shape these unique features, in this study, 16S rRNA sequencing using pigs feces and subsequent bacterial functional prediction were performed. Also, the gut bacteria of two other breeds of pigs, Barkshire and Landrace, were examined for comparison. It was revealed that the structure of bacterial community in Tibetan pigs appeared to be more complex; the relative abundances of dominant bacterial families varied inversely with those of the other pigs, and the proportion of Firmicutes in Tibetan pigs was lower, but Bacteroides, Fibrobacterota, Lachnospiraceae, Oscillospiraceae, and Ruminococcaceae were higher. Bacterial functional prediction revealed that the dominant flora in the Tibetan pigs was more correlated with functions regulating the hosts’ immune and inflammatory responses, such as NOD-like_receptor_signaling_pathway and vitamin metabolism. In addition, in Tibetan pigs, the taxonomic relationships in the gut bacteria on day 350 were closer than those on earlier stages. Furthermore, gender played a role in the composition and function of bacterial inhabitants in the gut; for boars, they were more correlated to drug resistance and xenobiotics metabolism of the host compared to the sows. In sum, our preliminary study on the gut bacterial composition of the Tibetan pigs provided an insight into the underlying host–microorganism interactions, emphasizing the role of intestinal bacteria in the context of modulating the host’s immune system and host development.
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Yang Y, Shen L, Gao H, Ran J, Li X, Jiang H, Li X, Cao Z, Huang Y, Zhao S, Song C, Pan H. Comparison of cecal microbiota composition in hybrid pigs from two separate three-way crosses. Anim Biosci 2020; 34:1202-1209. [PMID: 33332946 PMCID: PMC8255879 DOI: 10.5713/ab.20.0681] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/26/2020] [Indexed: 11/27/2022] Open
Abstract
Objective The intestinal microbiota plays an important role in host physiology, metabolism, immunity, and behavior. And host genetics could influence the gut microbiota of hybrid animals. The three-way cross model is commonly utilized in commercial pig production; however, the use of this model to analyse the gut microbial composition is rarely reported. Methods Two three-way hybrid pigs were selected, with Saba pigs as the starting maternal pig: Duroc× (Berkshire×Saba) (DBS) pig, Berkshire×(Duroc×Saba) (BDS) pig. One hundred pigs of each model were reared from 35 days (d) to 210 d. The body weight or feed consumption of all pigs were recorded and their feed/gain (F/G) ratio was calculated. On day 210, 10 pigs from each three-way cross were selected for slaughter, and cecal chyme samples were collected for 16S rRNA gene sequencing. Results The final body weight (FBW) and average daily gain (ADG) of DBS pigs were significantly higher than those of BDS pigs (p<0.05), while the F/G ratios of DBS pigs were significantly lower than those of BDS pigs (p<0.05). The dominant phyla in DBS and BDS pigs were Bacteroidetes (55.23% vs 59%, respectively) and Firmicutes (36.65% vs 34.86%, respectively) (p>0.05). At the genus level, the abundance of Prevotella, Roseburia, and Anaerovibrio in DBS pigs was significantly lower than in BDS pigs (p<0.01). The abundance of Eubacterium, Clostridium XI, Bacteroides, Methanomassiliicoccus, and Parabacteroides in DBS pigs was significantly higher than in BDS pigs (p<0.05). The FBWs and ADGs were positively correlated with Bacteroides, ClostridiumXI, and Parabacteroides but negatively correlated with the Prevotella, Prevotella/Bacteroides (P/B) ratio, Roseburia, and Anaerovibrio. Conclusion These results indicated that host genetics affect the cecal microbiota composition and the porcine gut microbiota is associated with growth performance, thereby suggesting that gut microbiota composition may be a useful biomarker in porcine genetics and breeding.
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Affiliation(s)
- Yuting Yang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Liyan Shen
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Huan Gao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jinming Ran
- Dazhou Vocational and Technical College, Dazhou 635000, China
| | - Xian Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Hengxin Jiang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Xueyan Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Zhenhui Cao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Ying Huang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Sumei Zhao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Chunlian Song
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.,Collge of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China
| | - Hongbin Pan
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
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Yan W, Li J, Zhang Y, Zhang J, Cheng L, Li Y. Identification of a novel premature stop codon and other recurrent variations in the porcine gelsolin gene. Gene 2020; 754:144879. [PMID: 32531458 DOI: 10.1016/j.gene.2020.144879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/01/2020] [Accepted: 06/05/2020] [Indexed: 11/19/2022]
Abstract
Gelsolin is an actin-binding protein that plays a significant role in sustaining cell motility and cell metabolism. Investigations of the mutations present in the key regions of gelsolin provide extensive information to further understand the mechanism by which gelsolin causes variation in the phenotype [e.g., residual feed intake (RFI) or feed efficiency ]of pigs. However, there have been no investigations of the variation in functional binding regions or research on Chinese native pigs. In this study, three key regions of gelsolin were investigated in 144 pigs from six breeds using a sequencing method. The results revealed 16 nucleotide substitutions, eight of which (c.42-13G/T, c.59 T/C, c.86C/T, c.87G/T, c.104C/T, c.144 T/C, c.206G/C, and c.237 + 21A/G) were novel and identified in intron 1, exon 2, and intron 2. Two variants (c.87G/T and c.144 T/C) resulted in a premature stop codon (p.Gly16Uga(Stop)) and an amino acid change (p.Tyr35His), respectively. In region 1, c.144 T/C was the most common (at a total frequency of 46.5%), followed by c.42-13G/T (at a total frequency of 41.7%). In region 2, two variants (c.350A/G and c.374A/G) were most common (both at a total frequency of 36.1%). There were significant differences (P < 0.05) in variant frequencies between Chinese indigenous pigs and overseas pigs. Our findings revealed one novel premature stop codon and eight novel variations in re-sequencing regions, which suggest that these variations of gelsolin may influence its mRNA expression and consequently affect production traits in swine.
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Affiliation(s)
- Wei Yan
- School of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China.
| | - Juyin Li
- School of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China
| | - Yao Zhang
- School of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China
| | - Jingqi Zhang
- School of Animal Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China
| | - Long Cheng
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Victoria 3647, Australia
| | - Yanqing Li
- IPIG Management Consulting Company Limited, Guangzhou 511457, China
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Study on Hematological and Biochemical Characters of Cloned Duroc Pigs and Their Progeny. Animals (Basel) 2019; 9:ani9110912. [PMID: 31684083 PMCID: PMC6912288 DOI: 10.3390/ani9110912] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 10/25/2019] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Cloning is the most promising technique for passing the excellent phenotypes of the best individuals in the population. Here we studied the effects of cloning on Duroc pig, which is the most popular sire used in pig production due to its good growth and meat quality. Understanding the changes of cloned Duroc pigs and their progenies is of great importance for animal breeding and public acceptance. The results of this study suggested that there were no difference in blood parameters between the cloned Duroc and the conventionally bred Duroc and their progenies. Abstract To increase public understanding in cloned animals produced by somatic cell nuclear transfer technology, our previous study investigated the carcass trait and meat quality of the clones (paper accepted), and this study we further evaluate differences by investigating the blood parameters in cloned pigs and their progeny. We collected blood samples from the clones and conventionally bred non-clones and their progeny, and investigated their hematological and blood biochemical characters. Our results supported the hypothesis that there was no significant difference between clones and non-clones, or their progeny. Taken together, the data demonstrated that the clones or their progeny were similar with their controls in terms of blood parameters, although there were still other kinds of disorders, such as abnormal DNA methylation or histone modifications that needs further investigation. The data in this study agreed that cloning technique could be used to preserve and enlarge the genetics of the superior boars in pig breeding industry, especially in facing of the deadly threat of African Swine fever happened in China.
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