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Jin Z, Gao H, Fu Y, Ren R, Deng X, Chen Y, Hou X, Wang Q, Song G, Fan N, Ma H, Yin Y, Xu K. Whole-Transcriptome Analysis Sheds Light on the Biological Contexts of Intramuscular Fat Deposition in Ningxiang Pigs. Genes (Basel) 2024; 15:642. [PMID: 38790271 PMCID: PMC11121357 DOI: 10.3390/genes15050642] [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: 04/16/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
The quality of pork is significantly impacted by intramuscular fat (IMF). However, the regulatory mechanism of IMF depositions remains unclear. We performed whole-transcriptome sequencing of the longissimus dorsi muscle (IMF) from the high (5.1 ± 0.08) and low (2.9 ± 0.51) IMF groups (%) to elucidate potential mechanisms. In summary, 285 differentially expressed genes (DEGs), 14 differentially expressed miRNAs (DEMIs), 83 differentially expressed lncRNAs (DELs), and 79 differentially expressed circRNAs (DECs) were identified. DEGs were widely associated with IMF deposition and liposome differentiation. Furthermore, competing endogenous RNA (ceRNA) regulatory networks were constructed through co-differential expression analyses, which included circRNA-miRNA-mRNA (containing 6 DEMIs, 6 DEGs, 47 DECs) and lncRNA-miRNA-mRNA (containing 6 DEMIs, 6 DEGs, 36 DELs) regulatory networks. The circRNAs sus-TRPM7_0005, sus-MTUS1_0004, the lncRNAs SMSTRG.4269.1, and MSTRG.7983.2 regulate the expression of six lipid metabolism-related target genes, including PLCB1, BAD, and GADD45G, through the binding sites of 2-4068, miR-7134-3p, and miR-190a. For instance, MSTRG.4269.1 regulates its targets PLCB1 and BAD via miRNA 2_4068. Meanwhile, sus-TRPM7_0005 controls its target LRP5 through ssc-miR-7134-3P. These findings indicate molecular regulatory networks that could potentially be applied for the marker-assisted selection of IMF to enhance pork quality.
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Affiliation(s)
- Zhao Jin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
| | - Hu Gao
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
| | - Yawei Fu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
| | - Ruimin Ren
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Xiaoxiao Deng
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
| | - Yue Chen
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Xiaohong Hou
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
- Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, China
| | - Qian Wang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
- Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, China
| | - Gang Song
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
- Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, China
| | - Ningyu Fan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
| | - Haiming Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Yulong Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (Z.J.); (H.G.); (Y.F.); (Q.W.); (G.S.); (N.F.); (H.M.); (Y.Y.)
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
| | - Kang Xu
- Key Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (R.R.); (X.D.); (Y.C.); (X.H.)
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Hunan Provincial Key Laboratory of the Traditional Chinese Medicine Agricultural Biogenomics, Changsha Medical University, Changsha 410219, China
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Wang W, Wang D, Zhang X, Liu X, Niu X, Li S, Huang S, Ran X, Wang J. Comparative transcriptome analysis of longissimus dorsi muscle reveal potential genes affecting meat trait in Chinese indigenous Xiang pig. Sci Rep 2024; 14:8486. [PMID: 38605105 PMCID: PMC11009340 DOI: 10.1038/s41598-024-58971-2] [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: 01/11/2024] [Accepted: 04/05/2024] [Indexed: 04/13/2024] Open
Abstract
In this study, we compared the transcriptome of longissimus dorsi muscle between Guizhou Xiang pigs (XP) and Western commercial Large White pigs (LW), which show diffirent meat quality between them. In terms of meat quality traits, the pH 45 min, color score, backfat thickness, and intramuscular fat (IMF) content were higher in Xiang pigs than in Large White pigs (P < 0.01), while the drip loss, lean meat percentage, shear force, and longissimus dorsi muscle area of Xiang pigs were lower than that of Large White pigs (P < 0.01). Nutrients such as monounsaturated fatty acid (MUFA), total amino acids (TAA), delicious amino acids (DAA) and essential amino acids (EAA) in Xiang pigs were higher than that in Large White pigs, and the proportion of polyunsaturated fatty acid (PUFA) of Xiang pigs was significantly lower than Large White pigs (P < 0.01). Transcriptome analysis identified 163 up-regulated genes and 88 genes down-regulated in Xiang pigs longissimus dorsi muscle. Combined with the correlation analysis and quantitative trait locis (QTLs) affecting meat quality, a total of 227 DEGs were screened to be significantly associated with meat quality values. Enrichment analysis indicated that numerous members of genes were gathered in muscle development, adipogenesis, amino acid metabolism, fatty acid metabolism and synthesis. Of those, 29 genes were identified to be hub genes that might be related with the meat quality of Xiang pig, such as MYOD1, ACTB, ASNS, FOXO1, ARG2, SLC2A4, PLIN2, and SCD. Thus, we screened and identified the potential functional genes for the formation of meat quality in Xiang pigs, which provides a corresponding theoretical basis for the study of the molecular regulatory mechanism of pork quality and the improvement of pork quality.
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Affiliation(s)
- Wei Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Dan Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Xinyi Zhang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Xiaoli Liu
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Xi Niu
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Sheng Li
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Shihui Huang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Xueqin Ran
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China.
| | - Jiafu Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region and Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), College of Life Science and College of Animal Science, Guizhou University, Guiyang, 550025, China.
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Shen Y, Chen Y, Zhang S, Wu Z, Lu X, Liu W, Liu B, Zhou X. Smartphone-based digital phenotyping for genome-wide association study of intramuscular fat traits in longissimus dorsi muscle of pigs. Anim Genet 2024; 55:230-237. [PMID: 38290559 DOI: 10.1111/age.13401] [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: 12/11/2023] [Revised: 12/11/2023] [Accepted: 01/17/2024] [Indexed: 02/01/2024]
Abstract
Intramuscular fat (IMF) content and distribution significantly contribute to the eating quality of pork. However, the current methods used for measuring these traits are complex, time-consuming and costly. To simplify the measurement process, this study developed a smartphone application (App) called Pork IMF. This App serves as a rapid and portable phenotyping tool for acquiring pork images and extracting the image-based IMF traits through embedded deep-learning algorithms. Utilizing this App, we collected the IMF traits of the longissimus dorsi muscle in a crossbred population of Large White × Tongcheng pigs. Genome-wide association studies detected 13 and 16 SNPs that were significantly associated with IMF content and distribution, respectively, highlighting NR2F2, MCTP2, MTLN, ST3GAL5, NDUFAB1 and PID1 as candidate genes. Our research introduces a user-friendly digital phenotyping technology for quantifying IMF traits and suggests candidate genes and SNPs for genetic improvement of IMF traits in pigs.
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Affiliation(s)
- Yang Shen
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yuxi Chen
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
| | - Shufeng Zhang
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
| | - Ze Wu
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
| | - Xiaoyu Lu
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
| | - Weizhen Liu
- School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
| | - Bang Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Xiang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
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Zong W, Zhao R, Wang X, Zhou C, Wang J, Chen C, Niu N, Zheng Y, Chen L, Liu X, Hou X, Zhao F, Wang L, Wang L, Song C, Zhang L. Population genetic analysis based on the polymorphisms mediated by transposons in the genomes of pig. DNA Res 2024; 31:dsae008. [PMID: 38447059 PMCID: PMC11090087 DOI: 10.1093/dnares/dsae008] [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: 12/23/2023] [Revised: 02/28/2024] [Accepted: 03/05/2024] [Indexed: 03/08/2024] Open
Abstract
Transposable elements (TEs) mobility is capable of generating a large number of structural variants (SVs), which can have considerable potential as molecular markers for genetic analysis and molecular breeding in livestock. Our results showed that the pig genome contains mainly TE-SVs generated by short interspersed nuclear elements (51,873/76.49%), followed by long interspersed nuclear elements (11,131/16.41%), and more than 84% of the common TE-SVs (Minor allele frequency, MAF > 0.10) were validated to be polymorphic. Subsequently, we utilized the identified TE-SVs to gain insights into the population structure, resulting in clear differentiation among the three pig groups and facilitating the identification of relationships within Chinese local pig breeds. In addition, we investigated the frequencies of TEs in the gene coding regions of different pig groups and annotated the respective TE types, related genes, and functional pathways. Through genome-wide comparisons of Large White pigs and Chinese local pigs utilizing the Beijing Black pigs, we identified TE-mediated SVs associated with quantitative trait loci and observed that they were mainly involved in carcass traits and meat quality traits. Lastly, we present the first documented evidence of TE transduction in the pig genome.
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Affiliation(s)
- Wencheng Zong
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Runze Zhao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- College of Animal Science, Shanxi Agricultural University, Jinzhong, China
| | - Xiaoyan Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Chenyu Zhou
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Jinbu Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Cai Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Naiqi Niu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yao Zheng
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Li Chen
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Chongqing Academy of Animal Science, Chongqing, China
| | - Xin Liu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Xinhua Hou
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Fuping Zhao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Ligang Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lixian Wang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Chengyi Song
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Longchao Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
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Chen Q, Chen Z, Sun Q, Zhang W, Wu F, Liu G, Wang T, Wang Z, Wang Q, Zhang J. Transcriptomic analysis of the longissimus thoracis muscle in pigs has identified molecular regulatory patterns associated with meat quality. Genomics 2024; 116:110779. [PMID: 38168627 DOI: 10.1016/j.ygeno.2023.110779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 12/29/2023] [Accepted: 12/30/2023] [Indexed: 01/05/2024]
Abstract
Meat quality is a critical aspect of pig breeding. In addition to genetics, meat quality is also influenced by nutritional and environmental factors. In this study, three pig breeds, Shengxianhua, Jiaxing, and Qinglian Black (SXH, JXB and QLB), were used as experimental animals. Transcriptional analysis was performed on the longissimus thoracis (LT) muscle to investigate variations in intramuscular fat (IMF), inosine monophosphate (IMP), amino acids, and muscle fiber morphology across different breeds. Ingenuity canonical pathway analysis (IPA) identified biological processes and key driver genes related to metabolism and muscle development. Additionally, weighted gene co-expression network analysis (WGCNA) revealed gene modules associated with IMP. KEGG and GO analyses identified specific biological processes and signaling pathways related to IMP, including the Oxidative Phosphorylation pathway and rRNA Metabolic Processes. These findings provide novel insights into the molecular regulatory mechanisms underlying meat quality variations among pig breeds.
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Affiliation(s)
- Qiangqiang Chen
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Zhirong Chen
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qian Sun
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Wei Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Fen Wu
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Guoliang Liu
- Zhejiang Qinglian Food Company limited, Jiaxing, China
| | - Tenghao Wang
- Zhejiang Qinglian Food Company limited, Jiaxing, China
| | - Zhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Qishan Wang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Jinzhi Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.
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Montégut L, Abdellatif M, Motiño O, Madeo F, Martins I, Quesada V, López‐Otín C, Kroemer G. Acyl coenzyme A binding protein (ACBP): An aging- and disease-relevant "autophagy checkpoint". Aging Cell 2023; 22:e13910. [PMID: 37357988 PMCID: PMC10497816 DOI: 10.1111/acel.13910] [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: 04/17/2023] [Revised: 06/01/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023] Open
Abstract
Acyl coenzyme A binding protein (ACBP), also known as diazepam-binding inhibitor (DBI), is a phylogenetically ancient protein present in some eubacteria and the entire eukaryotic radiation. In several eukaryotic phyla, ACBP/DBI transcends its intracellular function in fatty acid metabolism because it can be released into the extracellular space. This ACBP/DBI secretion usually occurs in response to nutrient scarcity through an autophagy-dependent pathway. ACBP/DBI and its peptide fragments then act on a range of distinct receptors that diverge among phyla, namely metabotropic G protein-coupled receptor in yeast (and likely in the mammalian central nervous system), a histidine receptor kinase in slime molds, and ionotropic gamma-aminobutyric acid (GABA)A receptors in mammals. Genetic or antibody-mediated inhibition of ACBP/DBI orthologs interferes with nutrient stress-induced adaptations such as sporulation or increased food intake in multiple species, as it enhances lifespan or healthspan in yeast, plant leaves, nematodes, and multiple mouse models. These lifespan and healthspan-extending effects of ACBP/DBI suppression are coupled to the induction of autophagy. Altogether, it appears that neutralization of extracellular ACBP/DBI results in "autophagy checkpoint inhibition" to unleash the anti-aging potential of autophagy. Of note, in humans, ACBP/DBI levels increase in various tissues, as well as in the plasma, in the context of aging, obesity, uncontrolled infection or cardiovascular, inflammatory, neurodegenerative, and malignant diseases.
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Affiliation(s)
- Léa Montégut
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Metabolomics and Cell Biology PlatformsGustave Roussy InstitutVillejuifFrance
- Faculté de MédecineUniversité de Paris SaclayParisFrance
| | - Mahmoud Abdellatif
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Metabolomics and Cell Biology PlatformsGustave Roussy InstitutVillejuifFrance
- Department of CardiologyMedical University of GrazGrazAustria
- BioTechMed‐GrazGrazAustria
| | - Omar Motiño
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Metabolomics and Cell Biology PlatformsGustave Roussy InstitutVillejuifFrance
| | - Frank Madeo
- BioTechMed‐GrazGrazAustria
- Institute of Molecular Biosciences, NAWI GrazUniversity of GrazGrazAustria
- Field of Excellence BioHealthUniversity of GrazGrazAustria
| | - Isabelle Martins
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Metabolomics and Cell Biology PlatformsGustave Roussy InstitutVillejuifFrance
| | - Victor Quesada
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología del Principado de Asturias (IUOPA)Universidad de OviedoOviedoSpain
| | - Carlos López‐Otín
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología del Principado de Asturias (IUOPA)Universidad de OviedoOviedoSpain
| | - Guido Kroemer
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue Contre le Cancer, Inserm U1138Université Paris Cité, Sorbonne UniversitéParisFrance
- Metabolomics and Cell Biology PlatformsGustave Roussy InstitutVillejuifFrance
- Institut du Cancer Paris CARPEM, Department of BiologyHôpital Européen Georges Pompidou, AP‐HPParisFrance
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7
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Wei C, Zeng H, Zhong Z, Cai X, Teng J, Liu Y, Zhao Y, Wu X, Li J, Zhang Z. Integration of non-additive genome-wide association study with a multi-tissue transcriptome analysis of growth and carcass traits in Duroc pigs. Animal 2023; 17:100817. [PMID: 37196577 DOI: 10.1016/j.animal.2023.100817] [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: 12/08/2022] [Revised: 04/03/2023] [Accepted: 04/06/2023] [Indexed: 05/19/2023] Open
Abstract
Growth and carcass traits are of economic importance in the pig production, which affect pork quality and profitability of finishing pig production. This study used whole-genome and transcriptome sequencing technologies to identify potential candidate genes affecting growth and carcass traits in Duroc pigs. The medium (50-60 k) single nucleotide polymorphism (SNP) arrays of 4 154 Duroc pigs from three populations were imputed to whole-genome sequence data, yielding 10 463 227 markers on 18 autosomes. The dominance heritabilities estimated for growth and carcass traits ranged from 0.000 ± 0.041 to 0.161 ± 0.054. Using non-additive genome-wide association study (GWAS), we identified 80 dominance quantitative trait loci for growth and carcass traits at genome-wide significance (false discovery rate < 5%), 15 of which were also detected in our additive GWAS. After fine mapping, 31 candidate genes for dominance GWAS were annotated, and 8 of them were highlighted that have been previously reported to be associated with growth and development (e.g. SNX14, RELN and ENPP2), autosomal recessive diseases (e.g. AMPH, SNX14, RELN and CACNB4) and immune response (e.g. UNC93B1 and PPM1D). By integrating the lead SNPs with RNA-seq data of 34 pig tissues from the Pig Genotype-Tissue Expression project (https://piggtex.farmgtex.org/), we found that the rs691128548, rs333063869, and rs1110730611 have significantly dominant effects for the expression of SNX14, AMPH and UNC93B1 genes in tissues related to growth and development for pig, respectively. Finally, the identified candidate genes were significantly enriched for biological processes involved in the cell and organ development, lipids catabolic process and phosphatidylinositol 3-kinase signalling (P < 0.05). These results provide new molecular markers for meat production and quality selection of pig as well as basis for deciphering the genetic mechanisms of growth and carcass traits.
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Affiliation(s)
- Chen Wei
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Haonan Zeng
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Zhanming Zhong
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Xiaodian Cai
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Jingyan Teng
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Yuqiang Liu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Yunxiang Zhao
- School of Life Science and Engineering, Foshan University, Foshan 528225, PR China
| | - Xibo Wu
- Guangxi Guiken Yongxin Animal Husbandry Group Co. Ltd, Nanning 530000, PR China
| | - Jiaqi Li
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China
| | - Zhe Zhang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, PR China.
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