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Siddique A, Herron CB, Valenta J, Garner LJ, Gupta A, Sawyer JT, Morey A. Classification and Feature Extraction Using Supervised and Unsupervised Machine Learning Approach for Broiler Woody Breast Myopathy Detection. Foods 2022. [PMCID: PMC9601423 DOI: 10.3390/foods11203270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Bioelectrical impedance analysis (BIA) was established to quantify diverse cellular characteristics. This technique has been widely used in various species, such as fish, poultry, and humans for compositional analysis. This technology was limited to offline quality assurance/detection of woody breast (WB); however, inline technology that can be retrofitted on the conveyor belt would be more helpful to processors. Freshly deboned (n = 80) chicken breast fillets were collected from a local processor and analyzed by hand-palpation for different WB severity levels. Data collected from both BIA setups were subjected to supervised and unsupervised learning algorithms. The modified BIA showed better detection ability for regular fillets than the probe BIA setup. In the plate BIA setup, fillets were 80.00% for normal, 66.67% for moderate (data for mild and moderate merged), and 85.00% for severe WB. However, hand-held BIA showed 77.78, 85.71, and 88.89% for normal, moderate, and severe WB, respectively. Plate BIA setup is more effective in detecting WB myopathies and could be installed without slowing the processing line. Breast fillet detection on the processing line can be significantly improved using a modified automated plate BIA.
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Affiliation(s)
- Aftab Siddique
- Department of Poultry Science, Auburn University, Auburn, AL 36849, USA
| | - Charles B. Herron
- Department of Poultry Science, Auburn University, Auburn, AL 36849, USA
| | - Jaroslav Valenta
- Department of Animal Science, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic
| | - Laura J. Garner
- Department of Poultry Science, Auburn University, Auburn, AL 36849, USA
| | - Ashish Gupta
- Department of Business Analytics and Information, Auburn University, Auburn, AL 36849, USA
| | - Jason T. Sawyer
- Department of Animal Sciences, Auburn University, Auburn, AL 36849, USA
| | - Amit Morey
- Department of Poultry Science, Auburn University, Auburn, AL 36849, USA
- Correspondence: ; Tel.: +1-229-395-9837
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Kang K, Zhou N, Peng W, Peng F, Ma M, Li L, Fu F, Xiang S, Zhang H, He X, Song Z. Multi-Omics Analysis of the Microbiome and Metabolome Reveals the Relationship Between the Gut Microbiota and Wooden Breast Myopathy in Broilers. Front Vet Sci 2022; 9:922516. [PMID: 35812872 PMCID: PMC9260154 DOI: 10.3389/fvets.2022.922516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 05/23/2022] [Indexed: 11/19/2022] Open
Abstract
Wooden breast (WB) is a widely prevalent myopathy in broiler chickens. However, the role of the gut microbiota in this myopathy remains largely unknown, in particular the regulatory effect of gut microbiota in the modulation of muscle metabolism. Totally, 300 1-day-old Arbor Acres broilers were raised until 49 days and euthanized, and the breast filets were classified as normal (NORM), mild (MILD), or severe wooden breast (SEV). Birds with WB comprised 27.02% of the individuals. Severe WB filets had a greater L* value, a* value, and dripping loss but a lower pH (P < 0.05). WB filets had abundant myofiber fragmentation, with a lower average myofiber caliber and more fibers with a diameter of <20 μm (P < 0.05). The diversity of the intestinal microflora was decreased in birds with severe WB, with decreases in Chao 1, and observed species indices. At the phylum level, birds with severe WB had a lower Firmicutes/Bacteroidetes ratio (P = 0.098) and a decreased abundance of Verrucomicrobia (P < 0.05). At the species level, gut microbiota were positively correlated with 131 digesta metabolites in pathways of glutamine and glutamate metabolism and arginine biosynthesis but were negatively correlated with 30 metabolites in the pathway of tyrosine metabolism. In plasma, WB induced five differentially expressed metabolites (DEMs), including anserine and choline, which were related to the severity of the WB lesion. The microbial-derived metabolites, including guanidoacetic acid, antiarol, and (2E)-decenoyl-ACP, which entered into plasma were related to meat quality traits and myofiber traits. In summary, WB filets differed in gut microbiota, digesta, and plasma metabolites. Gut microbiota respond to the wooden breast myopathy by driving dynamic changes in digesta metabolites that eventually enter the plasma.
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Affiliation(s)
- Kelang Kang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Nanxuan Zhou
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Weishi Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Fang Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Mengmeng Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Liwei Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Fuyi Fu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Shuhan Xiang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Haihan Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
| | - Xi He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
- Hunan Co-Innovation Center of Animal Production Safety, Changsha, China
| | - Zehe Song
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
- Hunan Co-Innovation Center of Animal Production Safety, Changsha, China
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