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Associations of CAST, CAPN1 and MSTN Genes Polymorphism with Slaughter Value and Beef Quality – A Review. ANNALS OF ANIMAL SCIENCE 2020. [DOI: 10.2478/aoas-2020-0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
The slaughter value of cattle and beef quality are influenced by many factors, which can generally be divided into antemortem (breed, sex, age, housing system, diet, pre-slaughter handling) and postmortem (post-slaughter processing, chilling temperature, packaging). Studies of many authors have shown that meat quality traits can be also influenced by the individual genetic background of an animal. Numerous studies have been conducted worldwide to determine the functions of various genes as well as polymorphisms with potential effects on fattening and slaughter value of cattle and on beef quality. This study reviews the most important research done on the associations of polymorphisms in the calpain, calpastatin and myostatin genes with carcass traits and beef quality. Knowledge about the genes and chromosome regions associated with desired meat quality characteristics may prove very helpful when selecting pairs for mating and estimating the breeding value of offspring, mainly because it is difficult to improve meat quality traits based on conventional selection methods due to their low heritability and polygenic regulation. Furthermore, meat quality evaluation is expensive and can only be carried out after slaughter.
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Grottesi A, Gabbianelli F, Valentini A, Chillemi G. Structural and dynamic analysis of G558R mutation in chicken TSHR gene shows altered signal transduction and corroborates its role as a domestication gene. Anim Genet 2019; 51:51-57. [PMID: 31746479 DOI: 10.1111/age.12880] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2019] [Indexed: 11/30/2022]
Abstract
The thyroid-stimulating hormone receptor (TSHR) has been indicated as a putative domestication gene in chicken. Comparison of WGS identified a variant in residue 558 of the transmembrane domain (TM) of TSHR, where the domestic chicken (GGD) presents an arginine, whereas the red jungle fowl (RJF) shares a conserved glycine with other vertebrates. This variant has been demonstrated to be associated with phenotypes that are important for domestication and related to thyroid regulation, such as less fearful behavior, reduced aggressive behavior and reduced dependence on seasonal reproduction in GGD as compared with RJF. By means of molecular dynamics simulations, we highlighted the structural and dynamic differences of variant Gly558Arg in the TSHR TM domain. Alterations in TM helix flexibility, structure and protein overall motion are described. The so-called 'arginine snorkeling' of residue 568 in GGD is observed and we hypothesize it as the originating force that produces the observed whole-protein perturbation in the helix bundle dynamics, capable of altering the TSHR signal transduction. The results are discussed in the context of their implications for a better understanding of biological mechanisms in chicken under control of the thyroid, such as body metabolism, as well as for their usefulness in biomedical research.
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Affiliation(s)
- A Grottesi
- SCAI-Super Computing Applications and Innovation Department, CINECA, Via dei Tizii, 6b, 00185, Rome, Italy
| | - F Gabbianelli
- Department for Innovation in Biological, Agro-food and Forest systems, DIBAF, University of Tuscia, via S. Camillo de Lellis s.n.c., 01100, Viterbo, Italy
| | - A Valentini
- Department for Innovation in Biological, Agro-food and Forest systems, DIBAF, University of Tuscia, via S. Camillo de Lellis s.n.c., 01100, Viterbo, Italy
| | - G Chillemi
- Department for Innovation in Biological, Agro-food and Forest systems, DIBAF, University of Tuscia, via S. Camillo de Lellis s.n.c., 01100, Viterbo, Italy.,Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, IBIOM, CNR, Via Giovanni Amendola, 122/O, Bari, 70126, Italy
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Wang J, Cheng J, Li Y, Yan H, Wu P, Zhu X, Liu L, Chen L, Chu W, Zhang J. Gene structure, recombinant expression and function characterization of Siniperca chuatsi Fsrp-3. JOURNAL OF FISH BIOLOGY 2019; 94:714-724. [PMID: 30756375 DOI: 10.1111/jfb.13931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 02/11/2019] [Indexed: 06/09/2023]
Abstract
A full-length complementary (c)DNA sequence encoding follistatin-related protein 3 (fsrp-3) was determined from skeletal muscle in Chinese mandarin fish Siniperca chuatsi, its molecular structure was characterised and its function suggested. The putative structure of S. chuatsi Fsrp-3 contains an N-terminal domain and two follistatin domains. Quantitative reverse-transcription (qRT)-PCR assays revealed that fsrp-3 messenger (m)RNA was differentially expressed among assayed tissues and was highly expressed in heart and intestine. fsrp-3 mRNA exhibited increasing expression from the larval to the juvenile stage (500 g). To investigate the potential function of S. chuatsi fsrp-3 in muscle growth, we constructed a Fsrp-3 prokaryotic expression system and injected the purified Fsrp-3 fusion protein into the dorsal muscle. Fsrp-3 administration significantly influenced cross-section area, satellite cell activation frequency and nuclear density of S. chuatsi muscle fibres. Following Fsrp-3 treatment, the expression of myogenic regulatory factors was up-regulated and decline in the expression of myostatin was observed. The study revealed that Fsrp-3 may affect muscle growth by regulating myogenic regulatory factor expression and antagonizing myostatin function to initiate satellite cell activation and differentiation in S. chuatsi.
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Affiliation(s)
- Jianhua Wang
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
- College of Life Science, Guangxi Normal University, Guilin, China
| | - Jia Cheng
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
| | - Yulong Li
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
| | - Huiling Yan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Ping Wu
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
| | - Xin Zhu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Li Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Lin Chen
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
| | - Wuying Chu
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
| | - Jianshe Zhang
- Department of Bioscience and Environmental Engineering, Changsha University, Changsha, China
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Chillemi G, Bongiorni S, Gioiosa S, Flati T, Castrignanò T, Milanesi M, Ajmone Marsan P, Valentini A. Missense mutations of NCPAG gene affect calving ease in Piedmontese cattle: preliminary evidences. ITALIAN JOURNAL OF ANIMAL SCIENCE 2017. [DOI: 10.1080/1828051x.2017.1370362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Giovanni Chillemi
- SuperComputing Applications and Innovation Department, CINECA, SCAI, Roma, Italy
| | - Silvia Bongiorni
- Dipartimento per la Innovazione nei Sistemi Biologici, Agroalimentari e Forestali, Università della Tuscia, Viterbo, Italy
| | - Silvia Gioiosa
- SuperComputing Applications and Innovation Department, CINECA, SCAI, Roma, Italy
- Istituto di Biomembrane e Bioenergetica, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Tiziano Flati
- SuperComputing Applications and Innovation Department, CINECA, SCAI, Roma, Italy
- Istituto di Biomembrane e Bioenergetica, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Tiziana Castrignanò
- SuperComputing Applications and Innovation Department, CINECA, SCAI, Roma, Italy
| | - Marco Milanesi
- Istituto di Zootecnica, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy
| | - Paolo Ajmone Marsan
- Istituto di Zootecnica, Università Cattolica del Sacro Cuore, Piacenza (PC), Italy
| | - Alessio Valentini
- Dipartimento per la Innovazione nei Sistemi Biologici, Agroalimentari e Forestali, Università della Tuscia, Viterbo, Italy
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