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Sosnicki A, Gonzalez J, Fields B, Knap P. A review of porcine skeletal muscle plasticity and implications for genetic improvement of carcass and meat quality. Meat Sci 2025; 219:109676. [PMID: 39362021 DOI: 10.1016/j.meatsci.2024.109676] [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: 05/21/2024] [Revised: 08/12/2024] [Accepted: 09/22/2024] [Indexed: 10/05/2024]
Abstract
Skeletal muscle is characterized by a remarkable plasticity to adapt to stimuli such as contractile activity, loading conditions, substrate supply or environmental factors. The existing knowledge of muscle plasticity along with developed genetic and genomic technologies, have enabled creating animal breeding strategies and allowed for implementing agriculturally successful porcine genetic improvement programs. The primary focus of this review paper is on pig skeletal muscle plasticity as it relates to genetic improvement of desirable carcass composition and pork quality traits. Biological constraints between practically realized breeding objectives, pig skeletal muscle biology, and pork quality are also discussed. Future applications of genetic and genomic technologies and plausible focus on new breeding objectives enhancing pork production sustainability are proposed as well.
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Affiliation(s)
| | - John Gonzalez
- University of Georgia, Department of Animal and Dairy Science, 425 River Road, Athens, GA 30602, USA
| | - Brandon Fields
- GenusPIC, 100 Bluegrass Commons, Hendersonville, TN 37075, USA
| | - Pieter Knap
- GenusPIC, 100 Bluegrass Commons, Hendersonville, TN 37075, USA
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Gutiérrez-Vidal R, Delgado-Coello B, Méndez-Acevedo KM, Calixto-Tlacomulco S, Damián-Zamacona S, Mas-Oliva J. Therapeutic Intranasal Vaccine HB-ATV-8 Prevents Atherogenesis and Non-alcoholic Fatty Liver Disease in a Pig Model of Atherosclerosis. Arch Med Res 2018; 49:456-470. [DOI: 10.1016/j.arcmed.2019.01.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 12/14/2018] [Accepted: 01/22/2019] [Indexed: 02/07/2023]
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3
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Jia J, Ahmed I, Liu L, Liu Y, Xu Z, Duan X, Li Q, Dou T, Gu D, Rong H, Wang K, Li Z, Talpur MZ, Huang Y, Wang S, Yan S, Tong H, Zhao S, Zhao G, te Pas MFW, Su Z, Ge C. Selection for growth rate and body size have altered the expression profiles of somatotropic axis genes in chickens. PLoS One 2018; 13:e0195378. [PMID: 29630644 PMCID: PMC5891002 DOI: 10.1371/journal.pone.0195378] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 03/21/2018] [Indexed: 11/18/2022] Open
Abstract
The growth hormone / insulin-like growth factor-1 (GH/IGF-1) pathway of the somatotropic axis is the major controller for growth rate and body size in vertebrates, but the effect of selection on the expression of GH/IGF-1 somatotropic axis genes and their association with body size and growth performance in farm animals is not fully understood. We analyzed a time series of expression profiles of GH/IGF-1 somatotropic axis genes in two chicken breeds, the Daweishan mini chickens and Wuding chickens, and the commercial Avian broilers hybrid exhibiting markedly different body sizes and growth rates. We found that growth rate and feed conversion efficiency in Daweishan mini chickens were significantly lower than those in Wuding chickens and Avian broilers. The Wuding and Daweishan mini chickens showed higher levels of plasma GH, pituitary GH mRNA but lower levels of hepatic growth hormone receptor (GHR) mRNA than in Avian broilers. Daweishan mini chickens showed significantly lower levels of plasma IGF-1, thigh muscle and hepatic IGF-1 mRNA than did Avian broilers and Wuding chickens. These results suggest that the GH part of the somatotropic axis is the main regulator of growth rate, while IGF-1 may regulate both growth rate and body weight. Selection for growth performance and body size have altered the expression profiles of somatotropic axis genes in a breed-, age-, and tissue-specific manner, and manner, and alteration of regulatory mechanisms of these genes might play an important role in the developmental characteristics of chickens.
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Affiliation(s)
- Junjing Jia
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Irfan Ahmed
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Lixian Liu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Yong Liu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Zhiqiang Xu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Xiaohua Duan
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Qihua Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Tengfei Dou
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Dahai Gu
- Department of Food Science, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Hua Rong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Kun Wang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Zhengtian Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Mir Zulqarnain Talpur
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Ying Huang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Shanrong Wang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Shixiong Yan
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Huiquan Tong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Sumei Zhao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
| | - Guiping Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China
| | - Marinus F. W. te Pas
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
- Animal Breeding and Genetics, Wageningen UR Livestock Science, Wageningen, The Netherlands
- Dali University, Dali, Yunnan Province, People’s Republic of China
- * E-mail: (MFWP); (ZS); (CG)
| | - Zhengchang Su
- Department of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, United States of America
- * E-mail: (MFWP); (ZS); (CG)
| | - Changrong Ge
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming, Yunnan Province, People’s Republic of China
- * E-mail: (MFWP); (ZS); (CG)
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Identification of differentially expressed genes associated with differential body size in mandarin fish (Siniperca chuatsi). Genetica 2016; 144:445-55. [PMID: 27393605 DOI: 10.1007/s10709-016-9913-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 07/04/2016] [Indexed: 10/21/2022]
Abstract
Body size is an obvious and important characteristic of fish. Mandarin fish Siniperca chuatsi (Basilewsky) is one of the most valuable perciform species widely cultured in China. Individual differences in body size are common in mandarin fish and significantly influence the aquaculture production. However, little is currently known about its genetic control. In this study, digital gene expression profiling and transcriptome sequencing were performed in mandarin fish with differential body size at 30 and 180 days post-hatch (dph), respectively. Body weight, total length and body length of fish with big-size were significantly higher than those with small-size at both 30 and 180 dph (P < 0.05). 2171 and 2014 differentially expressed genes were identified between small-size and big-size fish at 30 and 180 dph, respectively. RT quantitative PCR (qPCR) analysis showed that the differential expression of 10 selected genes in mandarin fish that went through the same training procedure. The genes were involved in the growth hormone-insulin-like growth factor axis, cell proliferation and differentiation, appetite control, glucose metabolism, reproduction and sexual size dimorphism pathways. This study will help toward a comprehensive understanding of the complexity of regulation of body size in mandarin fish individuals and provide valuable information for future research.
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Wirthgen E, Höflich C, Spitschak M, Helmer C, Brand B, Langbein J, Metzger F, Hoeflich A. Quantitative Western ligand blotting reveals common patterns and differential features of IGFBP-fingerprints in domestic ruminant breeds and species. Growth Horm IGF Res 2016; 26:42-49. [PMID: 26597140 DOI: 10.1016/j.ghir.2015.11.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 10/09/2015] [Accepted: 11/06/2015] [Indexed: 01/28/2023]
Abstract
The insulin-like growth factor binding proteins (IGFBPs) are determinants of local IGF-effects and thus have an impact on growth and metabolism in vertebrate species. In farm animals, IGFBPs are associated with traits such as growth rate, body composition, milk production, or fertility. It may be assumed, that selective breeding and characteristic phenotypes of breeds are related to differential expression of IGFBPs. Therefore, the aim of the present study was to investigate the effects of selective breeding on blood IGFBP concentrations of farm animals. Breeds of the sheep, goat, and cattle species were investigated. IGFBP-3, -2, and -4 were analyzed with quantitative Western ligand blotting (qWLB), enabling comprehensive monitoring of intact IGFBPs with IGF-binding capacity. We show that in sera of all species and breeds investigated, IGFBP-3, -2, and -4 were simultaneously detectable by qWLB analysis. IGFBP-3 and the total amount of IGFBPs were significantly increased (P<0.05) in Cameroon sheep, if compared to 3 of 4 other sheep breeds, as well as in Dwarf goats versus Toggenburg and Boer goats (P<0.01). IGFBP-2 was elevated in Cameroon sheep and Boer goats, if compared to other breeds of these species (P<0.01), respectively. Holstein Friesian dairy cows had higher levels of IGFBP-4 (P<0.05), if compared to conventional crossbreeds of beef cattle. In Dwarf goats the ratio of IGFBP-3/IGFBP-2 was about 3-fold higher than in other goat breeds (P<0.001). The total IGFBP amount of Toggenburg goats was reduced (P<0.05), compared to the other goat breeds. In conclusion, our data indicate that common and specific features of IGFBP fingerprints are found in different ruminant species and breeds. Our findings may introduce quantitative Western ligand blotting as an attractive tool for biomarker development and molecular phenotyping in farm animal breeds.
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Affiliation(s)
- Elisa Wirthgen
- Ligandis GbR, Gülzow, Germany; Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | | | - Marion Spitschak
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Carina Helmer
- Clinic for Swine and Small Ruminants, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
| | - Bodo Brand
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany; Institute for Farm Animal Research and Technology, University of Rostock, Rostock, Germany
| | - Jan Langbein
- Institute of Behavioural Physiology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Friedrich Metzger
- Hoffmann-La Roche Ltd., Pharma Research & Early Development Neuroscience (pRED), Basel, Switzerland
| | - Andreas Hoeflich
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
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Rogberg-Muñoz A, Cantet RJ, Fernández ME, Lirón JP, Prando A, Birchmeier AN, Ripoli MV, Giovambattista G. Longitudinal analysis of the effects of IGF1-SnaBI genotypes on the growth curve of Angus bull calves. Livest Sci 2013. [DOI: 10.1016/j.livsci.2013.03.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Baeza MC, Corva PM, Soria LA, Rincon G, Medrano JF, Pavan E, Villarreal EL, Schor A, Melucci L, Mezzadra C, Miquel MC. Genetic markers of body composition and carcass quality in grazing Brangus steers. GENETICS AND MOLECULAR RESEARCH 2011; 10:3146-56. [PMID: 22194170 DOI: 10.4238/2011.december.19.3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The somatotropic axis is a major regulatory pathway of energy metabolism during postnatal growth in mammals. Genes involved in this pathway influence many economically important traits. The association of selected SNPs in these genes with carcass traits was examined in grazing Brangus steers. These traits included final live weight, ultrasound backfat thickness (UBFT), rib-eye area, kidney fat weight, hot carcass weight, and intramuscular fat percentage (%IMF). Genomic DNA (N = 246) was genotyped for a panel of 15 tag SNPs located in the growth hormone receptor (GHR), insulin-like growth factor I, insulin-like growth factor-binding protein 6, pro-melanin-concentrating hormone, suppressor of cytokine signaling 2, and signal transducer and activator of transcription 6 (STAT6) genes. Allelic and haplotype frequencies were compared with those of a sample of European breeds (N = 177 steers). Two tag SNPs in the GHR affected %IMF; one of them (ss86273136) was also strongly associated with UBFT (P < 0.003). The frequency of the most favorable GHR haplotype for %IMF was lower in Brangus steers. Moreover, the haplotype carrying two unfavorable alleles was present at a frequency of 31% in this group. Four tag SNPs on STAT6 had a significant effect on UBFT. One of these, SNP ss115492467, was also associated with %IMF. The STAT6 haplotype, including all the alleles favoring UBFT, was the most abundant variant (34%) in the European cattle, while it had a frequency of 14% in the Brangus steers. The four less favorable variants (absent in the European cattle) were found at a frequency of 38% in the Brangus steers. These results support the association of GHR and STAT6 SNP with carcass traits in composite breeds, such as Brangus, under grazing conditions.
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Affiliation(s)
- M C Baeza
- Departamento de Producción Animal, Facultad de Ciencias Agrarias, Unidad Integrada Balcarce, Universidad Nacional de Mar del Plata, Balcarce, Argentina
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8
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Patterson JL, Beltranena E, Foxcroft GR. The effect of gilt age at first estrus and breeding on third estrus on sow body weight changes and long-term reproductive performance1. J Anim Sci 2010; 88:2500-13. [DOI: 10.2527/jas.2008-1756] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bernstein RM, Leigh SR, Donovan SM, Monaco MH. Hormones and body size evolution in papionin primates. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2007; 132:247-60. [PMID: 17133434 DOI: 10.1002/ajpa.20521] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This study examines the evolution of size differences among papionin primates by measuring hormones that regulate size growth during ontogeny and influence ultimate adult size (insulin-like growth factor-I (IGF-I), insulin-like growth factor binding protein-3 (IGFBP-3), growth hormone binding protein (GHBP), dehydroepiandrosterone sulfate (DHEAS), testosterone, estradiol). The analyses assess longstanding ideas about circulating hormone levels and body size. Importantly, because the consensus papionin molecular phylogeny implies at least two episodes of size increase, this study offers opportunities to determine whether or not similar hormone profiles regulate this apparent evolutionary convergence (i.e., do larger-bodied papionins have higher levels of growth-related hormones than smaller-bodied papionins?). Five hundred and sixty serum samples (from 161 individuals) from 11 papionin species were analyzed using a two-level approach to address this issue. One used mixed longitudinal samples from two papionin species to test whether, during growth, large- and small-bodied species have higher and lower hormone levels, respectively. The second compared multiple papionin species to assess whether or not hormone levels covary with size in adult animals. Result show that size and hormone levels do not covary consistently across papionins, either during growth or in adulthood. Specifically, some smaller-bodied papionin species have higher absolute hormone levels than larger-bodied species. Differences in some hormone levels appear to track phylogeny more closely than body size. In contrast to studies based on single species, we demonstrate that, while the hormones analyzed affect growth, absolute circulating hormone levels either during growth or adulthood may be decoupled from interspecific differences in body size.
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Affiliation(s)
- Robin M Bernstein
- Center for the Advanced Study of Hominid Paleobiology, Department of Anthropology, George Washington University, Washington, DC 20052, USA.
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Lucy MC. Non-lactational traits of importance in dairy cows and applications for emerging biotechnologies. N Z Vet J 2005; 53:406-15. [PMID: 16317441 DOI: 10.1080/00480169.2005.36585] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Dairy cattle have traditionally been selected for their ability to produce milk and milk components. The traditional single-minded approach to selection of dairy cattle has now changed and secondary traits are being included in selection indices by decreasing the emphasis on production. Greater emphasis on non-production traits reflects the industry's desire for functional dairy cattle. Six broad categories of non-lactational traits are discussed in this review. They are: type; growth, body size and composition; efficiency of feed utilisation; disease resistance, e.g. udder health as measured by somatic cell score; reproduction; and management. Most of these traits can be found within selection indices worldwide, although relative emphasis varies. The non-lactational traits mentioned above are quantitative, meaning that the phenotype in the whole animal represents the sum of lesser traits that cannot be easily measured. The physiological mechanisms that underlie quantitative traits are extremely complex. Genetic selection can be applied to quantitative traits but it is difficult to link successful genetic selection with the underlying physiological mechanisms. The importance that the bovine genome sequence will play in the future of the genetics of dairy cattle cannot be understated. Completing the bovine genome sequence is the first step towards modernising our approach to the genetics of dairy cattle. Finding genes in the genome is difficult and scanning billions of base pairs of DNA is an imperfect task. The function of most genes is either unknown or incompletely understood. Combining all of the information into a useable format is known as bioinformatics. At the present time, our capacity to generate information is great but our capacity to understand the information is small. The important information resides within subtle changes in gene expression and within the cumulative effect that these have. Traditional methods of genetic selection in dairy cattle will be used for the foreseeable future. Most non-lactational traits are heritable and will be included in selection indices if the traits have value. The long-term prognosis for genome science is good but advances will take time. Genetic selection in the genome era will be different because DNA sequence analysis may replace traditional methods of genetic selection.
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Affiliation(s)
- M C Lucy
- 158 Animal Science Research Center, University of Missouri, Columbia, MI 65203, USA.
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Bunter KL, Hermesch S, Luxford BG, Graser HU, Crump RE. Insulin-like growth factor-I measured in juvenile pigs is genetically correlated with economically important performance traits. ACTA ACUST UNITED AC 2005. [DOI: 10.1071/ea05048] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Insulin-like growth factor-I (IGF-I) is a naturally occurring polypeptide produced in the liver, muscle and fat tissues. It is known to be associated with growth and development during the postnatal growth period. Evidence for strong genetic correlations between juvenile IGF-I and performance traits would suggest this physiological measure would be useful as an early selection criterion. This paper reports estimates of genetic parameters from 9 trials where IGF-I was measured in juvenile pigs. All trials involved populations undergoing active selection for improved performance (e.g. efficient lean meat growth). Juvenile IGF-I was moderately heritable (average h2: 0.31) and influenced by common litter effects (average c2: 0.15). Genetic correlations (rg) between juvenile IGF-I and backfat (BF), feed intake (FI) or feed conversion ratio (FCR) traits were generally large and positive: rg averaged 0.57, 0.41 and 0.65, respectively. Phenotypic correlations (rp) between juvenile IGF-I and BF, FI or FCR were much lower (rp averaged 0.21, 0.09, and 0.15, respectively) as residual correlations between IGF-I and these performance traits were low, consistent with being measured at very different times. Correlations (genetic or phenotypic) between juvenile IGF-I and growth traits (e.g. lifetime daily gain or test daily gain) were relatively low, with average values within ± 0.09 of zero. Results from the trials reported here, and several physiological studies, indicate that information on juvenile IGF-I concentration can be used as an early physiological indicator of performance traits traditionally measured later in life. There is a clear role for juvenile IGF-I to facilitate pre-selection and more accurate selection of livestock for hard to measure traits, such as FCR, in pig breeding programs.
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