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Zhao D, Song Z, Shen L, Xia T, Ouyang Q, Zhang H, He X, Kang K. Single-cell transcriptomics and tissue metabolomics uncover mechanisms underlying wooden breast disease in broilers. Poult Sci 2024; 103:104433. [PMID: 39489032 PMCID: PMC11566330 DOI: 10.1016/j.psj.2024.104433] [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: 08/13/2024] [Revised: 09/26/2024] [Accepted: 10/12/2024] [Indexed: 11/05/2024] Open
Abstract
Accompanied by the accelerated growth rate of chickens, the quality of chicken meat has deteriorated in recent years. Wooden breast (WB) is a severe myopathy affecting meat quality, and its pathophysiology depends on gene expression and intercellular interactions of various cell types, which are not yet fully understood. We have performed a comprehensive transcriptomic and metabolomic atlas of chicken WB muscle. Our data showed a significant increase in the number of immune cells, WB muscle displayed a unique cluster of macrophages (cluster 11), distinct from the M1 and M2 macrophages. Regarding the myocytes, the most significant differences were the decrease in cell number and the intensification of fatty deposits. Satellite cells were involved in muscle repair and regeneration producing more collagen. Interestingly, the interaction network in the WB group was weaker compared to that in normal breast muscle. Additionally, we found six key differential metabolites across 22 pathways. When WB occurs, myocytes and endothelial cells undergo apoptosis, macrophages are activated and exert immune functions, satellite cells participate in muscle rebuilding and repair, and the content of metabolites undergoes significant changes. This cell transcriptome profile provides an essential reference for future studies on the development and remodeling of WB.
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Affiliation(s)
- Di Zhao
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China
| | - Zehe Song
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China
| | - Li Shen
- Shanghai Personal Biotechnology Co., Ltd, Shanghai 200030, China
| | - Tian Xia
- Shanghai Personal Biotechnology Co., Ltd, Shanghai 200030, China
| | - Qingyuan Ouyang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China
| | - Haihan Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China
| | - Xi He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Yuelushan Laboratory, Changsha 410128, China
| | - Kelang Kang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; Hunan Engineering Research Center of Poultry Production Safety, Changsha 410128, China; Hunan Academy of Agricultural Sciences, Changsha 410128, China.
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Barbut S, Mitchell R, Hall P, Bacon C, Bailey R, Owens CM, Petracci M. Review: Myopathies in broilers: supply chain approach to provide solutions to challenges related to raising fast growing birds. Poult Sci 2024; 103:103801. [PMID: 38925081 PMCID: PMC11259736 DOI: 10.1016/j.psj.2024.103801] [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: 02/15/2024] [Revised: 04/15/2024] [Accepted: 04/22/2024] [Indexed: 06/28/2024] Open
Abstract
This review is a summary of a Poultry Science Association symposium addressing myopathies in broilers' breast meat, focusing on the interactions between genetics, nutrition, husbandry, and meat processing. The Pectoralis major myopathies (woody breast [WB]; white striping [WS]; spaghetti meat [SM]) and Pectoralis minor ("feathering") are described, followed by discussing their prevalence, potential causes, current and future ways to mitigate, as well as detection methods (in live birds and meat) as well as ways to utilize affected meat. Overall, breast myopathies remain an important focus across the poultry industry and whilst a lot of data and knowledge has been gathered, it is clear that there is still a lot to understand. As there are multiple factors impacting the occurrence of breast myopathies, their reduction relies on a holistic approach. Ongoing balanced breeding strategies by poultry breeders is targeting the longer-term genetic component but comprehending the significant influence from nongenetic factors (short-term solutions such as nutrition) remains a key area of opportunity. Consequently, understanding the physiology and biological needs of the muscle through the life of the bird is critical to reduce the myopathies (e.g., minimizing oxidative stress) and gain more insight into their etiology.
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Affiliation(s)
- Shai Barbut
- Department of Food Science, University of Guelph, Guelph, Ontario N1G 2W1, Canada.
| | | | | | - Craig Bacon
- Simmons Prepared Foods, Siloam Springs, AR 72761, USA
| | | | - Casey M Owens
- Department of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA
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Vanderhout RJ, Abdalla EA, Leishman EM, Barbut S, Wood BJ, Baes CF. Genetic architecture of white striping in turkeys (Meleagris gallopavo). Sci Rep 2024; 14:9007. [PMID: 38637585 PMCID: PMC11026500 DOI: 10.1038/s41598-024-59309-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/09/2024] [Indexed: 04/20/2024] Open
Abstract
White striping (WS) is a myopathy of growing concern to the turkey industry. It is rising in prevalence and has negative consequences for consumer acceptance and the functional properties of turkey meat. The objective of this study was to conduct a genome-wide association study (GWAS) and functional analysis on WS severity. Phenotypic data consisted of white striping scored on turkey breast fillets (N = 8422) by trained observers on a 0-3 scale (none to severe). Of the phenotyped birds, 4667 genotypic records were available using a proprietary 65 K single nucleotide polymorphism (SNP) chip. The SNP effects were estimated using a linear mixed model with a 30-SNP sliding window approach used to express the percentage genetic variance explained. Positional candidate genes were those located within 50 kb of the top 1% of SNP windows explaining the most genetic variance. Of the 95 positional candidate genes, seven were further classified as functional candidate genes because of their association with both a significant gene ontology and molecular function term. The results of the GWAS emphasize the polygenic nature of the trait with no specific genomic region contributing a large portion to the overall genetic variance. Significant pathways relating to growth, muscle development, collagen formation, circulatory system development, cell response to stimulus, and cytokine production were identified. These results help to support published biological associations between WS and hypoxia and oxidative stress and provide information that may be useful for future-omics studies in understanding the biological associations with WS development in turkeys.
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Affiliation(s)
- Ryley J Vanderhout
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
- Hybrid Turkeys, 650 Riverbend Drive Suite C, Kitchener, ON, N2K 3S2, Canada
| | - Emhimad A Abdalla
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
- Vereinigte Informationssysteme Tierhaltung W.V. (Vit), Heinrich-Schröder-Weg 1, 27283, Verden, Germany
| | - Emily M Leishman
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Shai Barbut
- Department of Food Science, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Benjamin J Wood
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
- Hybrid Turkeys, 650 Riverbend Drive Suite C, Kitchener, ON, N2K 3S2, Canada
- School of Veterinary Science, University of Queensland, Gatton, QLD, 4343, Australia
| | - Christine F Baes
- Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland.
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Zhu R, Li J, Yang J, Sun R, Yu K. In Vivo Prediction of Breast Muscle Weight in Broiler Chickens Using X-ray Images Based on Deep Learning and Machine Learning. Animals (Basel) 2024; 14:628. [PMID: 38396595 PMCID: PMC10886402 DOI: 10.3390/ani14040628] [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: 01/15/2024] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
Accurately estimating the breast muscle weight of broilers is important for poultry production. However, existing related methods are plagued by cumbersome processes and limited automation. To address these issues, this study proposed an efficient method for predicting the breast muscle weight of broilers. First, because existing deep learning models struggle to strike a balance between accuracy and memory consumption, this study designed a multistage attention enhancement fusion segmentation network (MAEFNet) to automatically acquire pectoral muscle mask images from X-ray images. MAEFNet employs the pruned MobileNetV3 as the encoder to efficiently capture features and adopts a novel decoder to enhance and fuse the effective features at various stages. Next, the selected shape features were automatically extracted from the mask images. Finally, these features, including live weight, were input to the SVR (Support Vector Regression) model to predict breast muscle weight. MAEFNet achieved the highest intersection over union (96.35%) with the lowest parameter count (1.51 M) compared to the other segmentation models. The SVR model performed best (R2 = 0.8810) compared to the other prediction models in the five-fold cross-validation. The research findings can be applied to broiler production and breeding, reducing measurement costs, and enhancing breeding efficiency.
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Affiliation(s)
- Rui Zhu
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (R.Z.); (J.L.); (J.Y.)
| | - Jiayao Li
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (R.Z.); (J.L.); (J.Y.)
| | - Junyan Yang
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (R.Z.); (J.L.); (J.Y.)
| | - Ruizhi Sun
- College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (R.Z.); (J.L.); (J.Y.)
- Scientific Research Base for Integrated Technologies of Precision Agriculture (Animal Husbandry), The Ministry of Agriculture, Beijing 100083, China
| | - Kun Yu
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
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Velleman SG. Comparison of pectoralis major muscle satellite cell assay methods: an opinion paper. Front Physiol 2024; 15:1370570. [PMID: 38420623 PMCID: PMC10899438 DOI: 10.3389/fphys.2024.1370570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Affiliation(s)
- Sandra G. Velleman
- Department of Animal Sciences, The Ohio State University, Columbus, OH, United States
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Jung U, Kim M, Dowker-Key P, Noë S, Bettaieb A, Shepherd E, Voy B. Hypoxia promotes proliferation and inhibits myogenesis in broiler satellite cells. Poult Sci 2024; 103:103203. [PMID: 37980759 PMCID: PMC10685027 DOI: 10.1016/j.psj.2023.103203] [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: 06/27/2023] [Revised: 09/07/2023] [Accepted: 10/12/2023] [Indexed: 11/21/2023] Open
Abstract
Breast muscle myopathies in broilers compromise meat quality and continue to plague the poultry industry. Broiler breast muscle myopathies are characterized by impaired satellite cell (SC)-mediated repair, and localized tissue hypoxia and dysregulation of oxygen homeostasis have been implicated as contributing factors. The present study was designed to test the hypothesis that hypoxia disrupts the ability of SC to differentiate and form myotubes, both of which are key components of myofiber repair, and to determine the extent to which effects are reversed by restoration of oxygen tension. Primary SC were isolated from pectoralis major of young (5 d) Cobb 700 chicks and maintained in growth conditions or induced to differentiate under normoxic (20% O2) or hypoxic (1% O2) conditions for up to 48 h. Hypoxia enhanced SC proliferation while inhibiting myogenic potential, with decreased fusion index and suppressed myotube formation. Reoxygenation after hypoxia partially reversed effects on both proliferation and myogenesis. Western blotting showed that hypoxia diminished myogenin expression, activated AMPK, upregulated proliferation markers, and increased molecular signaling of cellular stress. Hypoxia also promoted accumulation of lipid droplets in myotubes. Targeted RNAseq identified numerous differentially expressed genes across differentiation under hypoxia, including several genes that have been associated with myopathies in vivo. Altogether, these data demonstrate localized hypoxia may influence SC behavior in ways that disrupt muscle repair and promote the formation of myopathies in broilers.
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Affiliation(s)
- Usuk Jung
- Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USA
| | - Minjeong Kim
- Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USA
| | - Presley Dowker-Key
- Department of Nutrition, The University of Tennessee, Knoxville, TN 37996, USA
| | - Simon Noë
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, 3001 Leuven, Belgium
| | - Ahmed Bettaieb
- Department of Nutrition, The University of Tennessee, Knoxville, TN 37996, USA
| | - Elizabeth Shepherd
- Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USA
| | - Brynn Voy
- Department of Animal Science, The University of Tennessee, Knoxville, TN 37996, USA.
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