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Bernardini C, Nesci S, La Mantia D, Salaroli R, Nauwelaerts N, Ventrella D, Elmi A, Trombetti F, Zannoni A, Forni M. Isolation and characterization of mammary epithelial cells derived from Göttingen Minipigs: A comparative study versus hybrid pig cells from the IMI-ConcePTION Project. Res Vet Sci 2024; 172:105244. [PMID: 38554548 DOI: 10.1016/j.rvsc.2024.105244] [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: 10/30/2023] [Revised: 02/16/2024] [Accepted: 03/24/2024] [Indexed: 04/01/2024]
Abstract
The value of pig as "large animal model" is a well-known tool for translational medicine, but it can also be beneficial in studying animal health in a one-health vision. The ConcePTION Project aims to provide new information about the risks associated with medication use during breastfeeding, as this information is not available for most commonly used drugs. In the IMI-Conception context, Göttingen Minipigs have been preferred to hybrid pigs for their genetic stability and microbiological control. For the first time, in the present research, three primary cell cultures of mammary epithelial cells were isolated and characterized from Göttingen Minipigs (mpMECs), including their ability to create the epithelial barrier. In addition, a comparative analysis between Göttingen Minipigs and commercial hybrid pig mammary epithelial cells (pMECs) was conducted. Epithelial markers: CKs, CK18, E-CAD, ZO-1 and OCL, were expressed in both mpMECs and pMECs. RT2 Profiler PCR Array Pig Drug Transporters showed a similar profile in mRNA drug transporters. No difference in energy production under basal metabolic condition was evidenced, while under stressed state, a different metabolic behaviour was shown between mpMECs vs pMECs. TEER measurement and sodium fluorescein transport, indicated that mpMECs were able to create an epithelial barrier, although, this turned out to be less compact than pMECs. By comparing mpMECs with mammary epithelial cells isolated from Hybrid pigs (pMECs), although both cell lines have morphological and phenotypic characteristics that make them both useful in barrier studies, some specific differences exist and must be considered in a translational perspective.
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Affiliation(s)
- Chiara Bernardini
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy; Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.
| | - Salvatore Nesci
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy.
| | - Debora La Mantia
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy.
| | - Roberta Salaroli
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy.
| | - Nina Nauwelaerts
- KU Leuven Drug Delivery and Disposition Lab, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven University, Belgium.
| | - Domenico Ventrella
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy; Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.
| | - Alberto Elmi
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy.
| | - Fabiana Trombetti
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy.
| | - Augusta Zannoni
- Department of Veterinary Medical Sciences, University of Bologna, Ozzano dell 'Emilia, 40064 Bologna, Italy; Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.
| | - Monica Forni
- Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy; Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
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2
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Romanets E, Bakoev S, Romanets T, Kolosova M, Kolosov A, Bakoev F, Tretiakova O, Usatov A, Getmantseva L. Evaluation of genetic differentiation and search for candidate genes for reproductive traits in pigs. Anim Biosci 2024; 37:832-838. [PMID: 38271973 PMCID: PMC11065708 DOI: 10.5713/ab.23.0297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/03/2023] [Accepted: 11/22/2023] [Indexed: 01/27/2024] Open
Abstract
OBJECTIVE The use of molecular genetic methods in pig breeding can significantly increase the efficiency of breeding and breeding work. We applied the Fst (fixsacion index) method, the main focus of the work was on the search for common options related to the number of born piglets and the weight of born piglets, since today the urgent task is to prevent a decrease in the weight of piglets at birth while maintaining high fertility of sows. METHODS One approach is to scan the genome, followed by an assessment of Fst and identification of selectively selected regions. We chose Large White sows (n = 237) with the same conditions of keeping and feeding. The data were collected from the sows across three farrowing. For genotyping, we used GeneSeek GGP Porcine HD Genomic Profiler v1, which included 68,516 single nucleotide polymorphisms evenly distributed with an average spacing of 25 kb (Illumina Inc, San Diego, CA, USA). RESULTS Based on the results of the Fst analysis, 724 variants representing selection signals for the signs BALWT, BALWT1, NBA, and TNB (weight of piglets born alive, average weight of the 1st piglets born alive, total number born alive, total number born). At the same time, 18 common variants have been identified that are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive characteristics in sows. CONCLUSION Оur work resulted in identification of variants associated with the reproductive characteristics of pigs. Moreover, we identified, variants which are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive performance in sows.
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Affiliation(s)
- Elena Romanets
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Siroj Bakoev
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
- Academy of Biology and Biotechnology named after. DI. Ivanovsky, Southern Federal University, 344090, Rostov region, Rostov-on-Don,
Russia
| | - Timofey Romanets
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Maria Kolosova
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Anatoly Kolosov
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Faridun Bakoev
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Olga Tretiakova
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
| | - Alexander Usatov
- Academy of Biology and Biotechnology named after. DI. Ivanovsky, Southern Federal University, 344090, Rostov region, Rostov-on-Don,
Russia
| | - Lyubov Getmantseva
- Faculty of Biotechnology, Don State Agrarian University, 346493, Rostov region, Oktyabrsky district,
Russia
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3
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Lin Y, Li J, Gu Y, Jin L, Bai J, Zhang J, Wang Y, Liu P, Long K, He M, Li D, Liu C, Han Z, Zhang Y, Li X, Zeng B, Lu L, Kong F, Sun Y, Fan Y, Wang X, Wang T, Jiang A, Ma J, Shen L, Zhu L, Jiang Y, Tang G, Fan X, Liu Q, Li H, Wang J, Chen L, Ge L, Li X, Tang Q, Li M. Haplotype-resolved 3D chromatin architecture of the hybrid pig. Genome Res 2024; 34:310-325. [PMID: 38479837 PMCID: PMC10984390 DOI: 10.1101/gr.278101.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 02/15/2024] [Indexed: 03/22/2024]
Abstract
In diploid mammals, allele-specific three-dimensional (3D) genome architecture may lead to imbalanced gene expression. Through ultradeep in situ Hi-C sequencing of three representative somatic tissues (liver, skeletal muscle, and brain) from hybrid pigs generated by reciprocal crosses of phenotypically and physiologically divergent Berkshire and Tibetan pigs, we uncover extensive chromatin reorganization between homologous chromosomes across multiple scales. Haplotype-based interrogation of multi-omic data revealed the tissue dependence of 3D chromatin conformation, suggesting that parent-of-origin-specific conformation may drive gene imprinting. We quantify the effects of genetic variations and histone modifications on allelic differences of long-range promoter-enhancer contacts, which likely contribute to the phenotypic differences between the parental pig breeds. We also observe the fine structure of somatically paired homologous chromosomes in the pig genome, which has a functional implication genome-wide. This work illustrates how allele-specific chromatin architecture facilitates concomitant shifts in allele-biased gene expression, as well as the possible consequential phenotypic changes in mammals.
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Affiliation(s)
- Yu Lin
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jing Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China;
| | - Yiren Gu
- College of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu 610066, China
| | - Long Jin
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jingyi Bai
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jiaman Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yujie Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Pengliang Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Keren Long
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Mengnan He
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Diyan Li
- School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - Can Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ziyin Han
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yu Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaokai Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Bo Zeng
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Lu Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Fanli Kong
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ying Sun
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Institute of Geriatric Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Yongliang Fan
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Xun Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Tao Wang
- School of Pharmacy, Chengdu University, Chengdu 610106, China
| | - An'an Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jideng Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Linyuan Shen
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Zhu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yanzhi Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Guoqing Tang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaolan Fan
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Qingyou Liu
- Animal Molecular Design and Precise Breeding Key Laboratory of Guangdong Province, School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Hua Li
- Animal Molecular Design and Precise Breeding Key Laboratory of Guangdong Province, School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Jinyong Wang
- Pig Industry Sciences Key Laboratory of Ministry of Agriculture and Rural Affairs, Chongqing Academy of Animal Sciences, Chongqing 402460, China
- National Center of Technology Innovation for Pigs, Chongqing 402460, China
| | - Li Chen
- Pig Industry Sciences Key Laboratory of Ministry of Agriculture and Rural Affairs, Chongqing Academy of Animal Sciences, Chongqing 402460, China
- National Center of Technology Innovation for Pigs, Chongqing 402460, China
| | - Liangpeng Ge
- Pig Industry Sciences Key Laboratory of Ministry of Agriculture and Rural Affairs, Chongqing Academy of Animal Sciences, Chongqing 402460, China
- National Center of Technology Innovation for Pigs, Chongqing 402460, China
| | - Xuewei Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Qianzi Tang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China;
| | - Mingzhou Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China;
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4
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Abuobeid R, Herrera-Marcos LV, Arnal C, Bidooki SH, Sánchez-Marco J, Lasheras R, Surra JC, Rodríguez-Yoldi MJ, Martínez-Beamonte R, Osada J. Differentially Expressed Genes in Response to a Squalene-Supplemented Diet Are Accurate Discriminants of Porcine Non-Alcoholic Steatohepatitis. Int J Mol Sci 2023; 24:12552. [PMID: 37628732 PMCID: PMC10454218 DOI: 10.3390/ijms241612552] [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: 06/19/2023] [Revised: 07/28/2023] [Accepted: 08/05/2023] [Indexed: 08/27/2023] Open
Abstract
Squalene is the major unsaponifiable component of virgin olive oil, the fat source of the Mediterranean diet. To evaluate its effect on the hepatic transcriptome, RNA sequencing was carried out in two groups of male Large White x Landrace pigs developing nonalcoholic steatohepatitis by feeding them a high fat/cholesterol/fructose and methionine and choline-deficient steatotic diet or the same diet with 0.5% squalene. Hepatic lipids, squalene content, steatosis, activity (ballooning + inflammation), and SAF (steatosis + activity + fibrosis) scores were analyzed. Pigs receiving the latter diet showed hepatic squalene accumulation and twelve significantly differentially expressed hepatic genes (log2 fold change < 1.5 or <1.5) correlating in a gene network. These pigs also had lower hepatic triglycerides and lipid droplet areas and higher cellular ballooning. Glutamyl aminopeptidase (ENPEP) was correlated with triglyceride content, while alpha-fetoprotein (AFP), neutralized E3 ubiquitin protein ligase 3 (NEURL3), 2'-5'-oligoadenylate synthase-like protein (OASL), and protein phosphatase 1 regulatory inhibitor subunit 1B (PPP1R1B) were correlated with activity reflecting inflammation and ballooning, and NEURL3 with the SAF score. AFP, ENPEP, and PPP1R1B exhibited a remarkably strong discriminant power compared to those pathological parameters in both experimental groups. Moreover, the expression of PPP1R1B, TMEM45B, AFP, and ENPEP followed the same pattern in vitro using human hepatoma (HEPG2) and mouse liver 12 (AML12) cell lines incubated with squalene, indicating a direct effect of squalene on these expressions. These findings suggest that squalene accumulated in the liver is able to modulate gene expression changes that may influence the progression of non-alcoholic steatohepatitis.
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Affiliation(s)
- Roubi Abuobeid
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
| | - Luis V. Herrera-Marcos
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
| | - Carmen Arnal
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Departamento de Patología Animal, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, E-28029 Madrid, Spain
| | - Seyed Hesamoddin Bidooki
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
| | - Javier Sánchez-Marco
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
| | - Roberto Lasheras
- Laboratorio Agroambiental, Servicio de Seguridad Agroalimentaria de la Dirección General de Alimentación y Fomento Agroalimentario, Gobierno de Aragón, E-50071 Zaragoza, Spain
| | - Joaquín C. Surra
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Departamento de Producción Animal y Ciencia de los Alimentos, Escuela Politécnica Superior de Huesca, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-22071 Huesca, Spain
| | - María Jesús Rodríguez-Yoldi
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, E-28029 Madrid, Spain
- Departamento de Farmacología, Fisiología, Medicina Legal y Forense, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
| | - Roberto Martínez-Beamonte
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, E-28029 Madrid, Spain
| | - Jesús Osada
- Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Veterinaria, Instituto de Investigación Sanitaria de Aragón, Universidad de Zaragoza, E-50013 Zaragoza, Spain
- Instituto Agroalimentario de Aragón, CITA-Universidad de Zaragoza, E-50013 Zaragoza, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, E-28029 Madrid, Spain
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Xie Q, Zhang Z, Chen Z, Sun J, Li M, Wang Q, Pan Y. Integration of Selection Signatures and Protein Interactions Reveals NR6A1, PAPPA2, and PIK3C2B as the Promising Candidate Genes Underlying the Characteristics of Licha Black Pig. BIOLOGY 2023; 12:biology12040500. [PMID: 37106701 PMCID: PMC10135650 DOI: 10.3390/biology12040500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023]
Abstract
Licha black (LI) pig has the specific characteristics of larger body length and appropriate fat deposition among Chinese indigenous pigs. Body length is one of the external traits that affect production performance, and fat deposition influences meat quality. However, the genetic characteristics of LI pigs have not yet been systematically uncovered. Here, the genomic information from 891 individuals of LI pigs, commercial pigs, and other Chinese indigenous pigs was used to analyze the breed characteristics of the LI pig with runs of homozygosity, haplotype, and FST selection signatures. The results showed the growth traits-related genes (i.e., NR6A1 and PAPPA2) and the fatness traits-related gene (i.e., PIK3C2B) were the promising candidate genes that closely related to the characteristics of LI pigs. In addition, the protein–protein interaction network revealed the potential interactions between the promising candidate genes and the FASN gene. The RNA expression data from FarmGTEx indicated that the RNA expression levels of NR6A1, PAPPA2, PIK3C2B, and FASN were highly correlated in the ileum. This study provides valuable molecular insights into the mechanisms that affect pig body length and fat deposition, which can be used in the further breeding process to improve meat quality and commercial profitability.
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6
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Pulido M, de Pedro MÁ, Álvarez V, Marchena AM, Blanco-Blázquez V, Báez-Díaz C, Crisóstomo V, Casado JG, Sánchez-Margallo FM, López E. Transcriptome Profile Reveals Differences between Remote and Ischemic Myocardium after Acute Myocardial Infarction in a Swine Model. BIOLOGY 2023; 12:340. [PMID: 36979032 PMCID: PMC10045039 DOI: 10.3390/biology12030340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023]
Abstract
Acute myocardial infarction (AMI) is the consequence of an acute interruption of myocardial blood flow delimiting an area with ischemic necrosis. The loss of cardiomyocytes initiates cardiac remodeling in the myocardium, leading to molecular changes in an attempt to recover myocardial function. The purpose of this study was to unravel the differences in the molecular profile between ischemic and remote myocardium after AMI in an experimental model. To mimic human myocardial infarction, healthy pigs were subjected to occlusion of the mid-left anterior descending coronary artery, and myocardial tissue was collected from ischemic and remote zones for omics techniques. Comparative transcriptome analysis of both areas was accurately validated by proteomic analysis, resulting in mitochondrion-related biological processes being the most impaired mechanisms in the infarcted area. Moreover, Immune system process-related genes were up-regulated in the remote tissue, mainly due to the increase of neutrophil migration in this area. These results provide valuable information regarding differentially expressed genes and their biological functions between ischemic and remote myocardium after AMI, which could be useful for establishing therapeutic targets for the development of new treatments.
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Affiliation(s)
- María Pulido
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
| | - María Ángeles de Pedro
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
| | - Verónica Álvarez
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
| | - Ana María Marchena
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
| | - Virginia Blanco-Blázquez
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Claudia Báez-Díaz
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Verónica Crisóstomo
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Javier G Casado
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
- Immunology Unit, University of Extremadura, Campus Universitario, Av. de la Universidad, s/n, 10003 Cáceres, Spain
- Institute of Molecular Pathology Biomarkers, University of Extremadura, 10003 Cáceres, Spain
| | - Francisco Miguel Sánchez-Margallo
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), C. de Melchor Fernández Almagro, 3, 28029 Madrid, Spain
| | - Esther López
- Jesús Usón Minimally Invasive Surgery Centre, Carretera Nacional 521, Km 41.8, 10071 Cáceres, Spain
- RICORS-TERAV Network, ISCIII, 28029 Madrid, Spain
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Bertocci F, Mannino G. Pearls before Swine: Plant-Derived Wastes to Produce Low-Cholesterol Meat from Farmed Pigs-A Bibliometric Analysis Combined to Meta-Analytic Studies. Foods 2023; 12:571. [PMID: 36766100 PMCID: PMC9914002 DOI: 10.3390/foods12030571] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
Due to environmental and human factors, there is a growing amount of agri-food waste worldwide. The European Commission is incentivizing a zero-waste policy by 2025, pushing to find a "second life" for at least the avoidable ones. In this review, after summarizing the nutritional values of pork and the importance of its inclusion in human diet, a phylogenetic analysis was conducted to investigate potential differences in the structure and activity of HMGCR, which is a key enzyme in cholesterol metabolism. In addition, a bibliometric analysis combined with visual and meta-analytical studies on 1047 scientific articles was conducted to understand whether the inclusion of agro-food waste could affect the growth performance of pigs and reduce cholesterol levels in pork. Although some critical issues were highlighted, the overall data suggest a modern and positive interest in the reuse of agri-food waste as swine feed. However, although interesting and promising results have been reported in several experimental trials, further investigation is needed, since animal health and meat quality are often given marginal consideration.
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Affiliation(s)
- Filippo Bertocci
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, 80134 Naples, Italy
| | - Giuseppe Mannino
- Department of Life Sciences and Systems Biology, University of Turin, Via Quarello 15/a, 10135 Turin, Italy
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8
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Drobek M. Paralogous Genes Involved in Embryonic Development: Lessons from the Eye and Other Tissues. Genes (Basel) 2022; 13:2082. [PMID: 36360318 PMCID: PMC9690401 DOI: 10.3390/genes13112082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/23/2022] [Accepted: 11/05/2022] [Indexed: 07/09/2024] Open
Abstract
During evolution, gene duplications lead to a naturally increased gene dosage. Duplicated genes can be further retained or eliminated over time by purifying selection pressure. The retention probability is increased by functional diversification and by the acquisition of novel functions. Interestingly, functionally diverged paralogous genes can maintain a certain level of functional redundancy and at least a partial ability to replace each other. In such cases, diversification probably occurred at the level of transcriptional regulation. Nevertheless, some duplicated genes can maintain functional redundancy after duplication and the ability to functionally compensate for the loss of each other. Many of them are involved in proper embryonic development. The development of particular tissues/organs and developmental processes can be more or less sensitive to the overall gene dosage. Alterations in the gene dosage or a decrease below a threshold level may have dramatic phenotypic consequences or even lead to embryonic lethality. The number of functional alleles of particular paralogous genes and their mutual cooperation and interactions influence the gene dosage, and therefore, these factors play a crucial role in development. This review will discuss individual interactions between paralogous genes and gene dosage sensitivity during development. The eye was used as a model system, but other tissues are also included.
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Affiliation(s)
- Michaela Drobek
- Laboratory of Transcriptional Regulation, Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, 142 20 Praha 4, Czech Republic
- Laboratory of RNA Biology, Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, 142 20 Praha 4, Czech Republic
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9
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Chen Z, Zhang Z, Wang Z, Zhang Z, Wang Q, Pan Y. Heterozygosity and homozygosity regions affect reproductive success and the loss of reproduction: a case study with litter traits in pigs. Comput Struct Biotechnol J 2022; 20:4060-4071. [PMID: 35983229 PMCID: PMC9364102 DOI: 10.1016/j.csbj.2022.07.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 12/23/2022] Open
Abstract
Runs of heterozygosity (ROHet) and homozygosity (ROH) harbor useful information related to traits of interest. There is a lack of investigating the effect of ROHet and ROH on reproductive success and the loss of reproduction in mammals. Here, we detected and characterized the ROHet and ROH patterns in the genomes of Chinese indigenous pigs (i.e., Jinhua, Chun’an, Longyou Black, and Shengxian Spotted pigs), revealing the similar genetic characteristics of indigenous pigs. Later, we highlighted the underlying litter traits-related ROHet and ROH using association analysis with linear model in these four indigenous pig breeds. To pinpoint the promising candidate genes associated with litter traits, we further in-depth explore the selection patterns of other five pig breeds (i.e., Erhualian, Meishan, Minzhu, Rongchang, and Diqing pigs) with different levels of reproduction performance at the underlying litter traits-related ROHet and ROH using FST and genetic diversity ratio. Then, we identified a set of known and novel candidate genes associated with reproductive performance in pigs. For the novel candidate genes (i.e., CCDC91, SASH1, SAMD5, MACF1, MFSD2A, EPC2, and MBD5), we obtained public available datasets and performed multi-omics analyses integrating transcriptome-wide association studies and comparative single-cell RNA-seq analyses to uncover the roles of them in mammalian reproductive performance. The genes have not been widely reported to be fertility-related genes and can be complementally considered as prior biological information to modify genomic selections models that benefits pig genetic improvement of litter traits. Besides, our findings provide new insights into the function of ROHet and ROH in mammals.
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10
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Wang F, Ding P, Liang X, Ding X, Brandt CB, Sjöstedt E, Zhu J, Bolund S, Zhang L, de Rooij LPMH, Luo L, Wei Y, Zhao W, Lv Z, Haskó J, Li R, Qin Q, Jia Y, Wu W, Yuan Y, Pu M, Wang H, Wu A, Xie L, Liu P, Chen F, Herold J, Kalucka J, Karlsson M, Zhang X, Helmig RB, Fagerberg L, Lindskog C, Pontén F, Uhlen M, Bolund L, Jessen N, Jiang H, Xu X, Yang H, Carmeliet P, Mulder J, Chen D, Lin L, Luo Y. Endothelial cell heterogeneity and microglia regulons revealed by a pig cell landscape at single-cell level. Nat Commun 2022; 13:3620. [PMID: 35750885 PMCID: PMC9232580 DOI: 10.1038/s41467-022-31388-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 06/16/2022] [Indexed: 11/23/2022] Open
Abstract
Pigs are valuable large animal models for biomedical and genetic research, but insights into the tissue- and cell-type-specific transcriptome and heterogeneity remain limited. By leveraging single-cell RNA sequencing, we generate a multiple-organ single-cell transcriptomic map containing over 200,000 pig cells from 20 tissues/organs. We comprehensively characterize the heterogeneity of cells in tissues and identify 234 cell clusters, representing 58 major cell types. In-depth integrative analysis of endothelial cells reveals a high degree of heterogeneity. We identify several functionally distinct endothelial cell phenotypes, including an endothelial to mesenchymal transition subtype in adipose tissues. Intercellular communication analysis predicts tissue- and cell type-specific crosstalk between endothelial cells and other cell types through the VEGF, PDGF, TGF-β, and BMP pathways. Regulon analysis of single-cell transcriptome of microglia in pig and 12 other species further identifies MEF2C as an evolutionally conserved regulon in the microglia. Our work describes the landscape of single-cell transcriptomes within diverse pig organs and identifies the heterogeneity of endothelial cells and evolutionally conserved regulon in microglia.
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Affiliation(s)
- Fei Wang
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen, Qingdao, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- BGI-Shenzhen, Shenzhen, China
| | - Peiwen Ding
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xue Liang
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen, Qingdao, China
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xiangning Ding
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Camilla Blunk Brandt
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jiacheng Zhu
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Saga Bolund
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lijing Zhang
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Laura P M H de Rooij
- Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology, VIB, Leuven, Belgium
- Department of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium
| | - Lihua Luo
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yanan Wei
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Wandong Zhao
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Zhiyuan Lv
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - János Haskó
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Runchu Li
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Qiuyu Qin
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Yi Jia
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Wendi Wu
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Yuting Yuan
- School of Basic Medical Sciences, Binzhou Medical University, Yantai, China
| | - Mingyi Pu
- BGI-Shenzhen, Shenzhen, China
- College of Basic Medicine, Qingdao University, Qingdao, China
| | - Haoyu Wang
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Aiping Wu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Lin Xie
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Ping Liu
- MGI, BGI-Shenzhen, Shenzhen, China
| | | | | | - Joanna Kalucka
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Aarhus University of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
| | - Max Karlsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Xiuqing Zhang
- BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Rikke Bek Helmig
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
| | - Linn Fagerberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Mathias Uhlen
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Lars Bolund
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen, Qingdao, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Niels Jessen
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China
- IBMC-BGI Center, the Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
| | - Peter Carmeliet
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology, VIB, Leuven, Belgium
- Department of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Jan Mulder
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Dongsheng Chen
- BGI-Shenzhen, Shenzhen, China.
- Institute of Systems Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
- Suzhou Institute of Systems Medicine, Suzhou, China.
| | - Lin Lin
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
| | - Yonglun Luo
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, BGI-Shenzhen, Qingdao, China.
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- BGI-Shenzhen, Shenzhen, China.
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
- IBMC-BGI Center, the Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China.
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11
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Zhang T, Wang T, Niu Q, Zheng X, Li H, Gao X, Chen Y, Gao H, Zhang L, Liu GE, Li J, Xu L. Comparative transcriptomic analysis reveals region-specific expression patterns in different beef cuts. BMC Genomics 2022; 23:387. [PMID: 35596128 PMCID: PMC9123670 DOI: 10.1186/s12864-022-08527-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 03/30/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Beef cuts in different regions of the carcass have different meat quality due to their distinct physiological function. The objective of this study was to characterize the region-specific expression differences using comparative transcriptomics analysis among five representative beef cuts (tenderloin, longissimus lumborum, rump, neck, chuck). RESULTS We obtained 15,701 expressed genes in 30 muscle samples across five regions from carcass meat. We identified a total of 80 region-specific genes (RSGs), ranging from three (identified in the rump cut) to thirty (identified in the longissimus lumborum cut), and detected 25 transcription factors (TFs) for RSGs. Using a co-expression network analysis, we detected seven region-specific modules, including three positively correlated modules and four negatively correlated modules. We finally obtained 91 candidate genes related to meat quality, and the functional enrichment analyses showed that these genes were mainly involved in muscle fiber structure (e.g., TNNI1, TNNT1), fatty acids (e.g., SCD, LPL), amino acids (ALDH2, IVD, ACADS), ion channel binding (PHPT1, SNTA1, SUMO1, CNBP), protein processing (e.g., CDC37, GAPDH, NRBP1), as well as energy production and conversion (e.g., ATP8, COX8B, NDUFB6). Moreover, four candidate genes (ALDH2, CANX, IVD, PHPT1) were validated using RT-qPCR analyses which further supported our RNA-seq results. CONCLUSIONS Our results provide valuable insights into understanding the transcriptome regulation of meat quality in different beef cuts, and these findings may further help to improve the selection for health-beneficial meat in beef cattle.
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Affiliation(s)
- Tianliu Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Tianzhen Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Qunhao Niu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Xu Zheng
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Haipeng Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Xue Gao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Yan Chen
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Huijiang Gao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - Lupei Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, United States Department of Agriculture-Agricultural Research Services, Beltsville, MD, 20705, USA
| | - Junya Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China.
| | - Lingyang Xu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Yuanmingyuan West Road 2#, Haidian District, Beijing, 100193, China.
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