Effects of Genetic Selection on Growth, Nutritional Value, and Amino Acid Profiles of Breast Muscle and Blood in Black-Boned Chickens
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Animal Ethics and Animal Management
2.2. Growth Performance Measurement
2.3. Slaughter and Sample Collection
2.4. Nutrient Content and Amino Acid Profile Analysis
2.5. Statistical Analysis
3. Results
3.1. Growth Performance Comparisons
3.2. Nutrient Content Comparisons
3.3. Amino Acid Profile Comparisons
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Kim, S.W.; Less, J.F.; Wang, L.; Yan, T.; Kiron, V.; Kaushik, S.J.; Lei, X.G. Meeting global feed protein demand: Challenge, opportunity, and strategy. Annu. Rev. Anim. Biosci. 2019, 7, 221–243. [Google Scholar] [CrossRef]
- Castro, F.L.S.; Chai, L.; Arango, J.; Owens, C.M.; Smith, P.A.; Reichelt, S.; DuBois, C.; Menconi, A. Poultry industry paradigms: Connecting the dots. J. Appl. Poult. Res. 2023, 32, 100310. [Google Scholar] [CrossRef]
- Bogucka, J.; Stadnicka, K. Quality of poultry meat-the practical issues and knowledge based solutions. Phys. Sci. Rev. 2023, 8, 4415–4433. [Google Scholar] [CrossRef]
- Charoensin, S.; Laopaiboon, B.; Boonkum, W.; Phetcharaburanin, J.; Villareal, M.O.; Isoda, H.; Duangjinda, M. Thai native chicken as a potential functional meat source rich in anserine, anserine/carnosine, and antioxidant substances. Animals 2021, 11, 902. [Google Scholar] [CrossRef]
- Sungkhapreecha, P.; Chankitisakul, V.; Duangjinda, M.; Boonkum, W. Combining abilities, heterosis, growth performance, and carcass characteristics in a diallel cross from black-bone chickens and Thai native chickens. Animals 2022, 12, 1602. [Google Scholar] [CrossRef]
- Kathiravan, G.; Chitrambigai, K. Consumer preferences for native chicken meat in India: Implications for sustainable production and household dynamics. Curr. Res. Nutr. Food Sci. J. 2024, 12, 166–180. [Google Scholar] [CrossRef]
- Jaturasitha, S.; Srikanchai, T.; Kreuzer, M.; Wicke, M. Differences in carcass and meat characteristics between chicken indigenous to Northern Thailand (black-boned and Thai native) and imported extensive breeds (Bresse and Rhode Island Red). Poult. Sci. 2008, 87, 160–169. [Google Scholar] [CrossRef]
- Khumpeerawat, P.; Duangjinda, M.; Phasuk, Y. Carnosine content and its association with carnosine-related gene expression in breast meat of Thai native and black-bone chicken. Animals 2021, 11, 1987. [Google Scholar] [CrossRef]
- Huang, C.; Wei, Y.; Kang, Z.; Zhang, W.; Wu, Y. Transcriptome analysis of skeletal muscles of black-boned chickens, including 2 types (wild and mutated) of Taihe black-boned silky fowl and 1 type (wild) of Yugan black-boned chicken. Poult. Sci. 2024, 103, 103240. [Google Scholar] [CrossRef]
- Nganvongpanit, K.; Kaewkumpai, P.; Kochagul, V.; Pringproa, K.; Punyapornwithaya, V.; Mekchay, S. Distribution of melanin pigmentation in 33 organs of Thai black-bone chickens (Gallus gallus domesticus). Animals 2020, 10, 777. [Google Scholar] [CrossRef] [PubMed]
- Shinde, S.S.; Sharma, A.; Vijay, N. Decoding the fibromelanosis locus complex chromosomal rearrangement of black-bone chicken: Genetic differentiation, selective sweeps and protein-coding changes in Kadaknath chicken. Front. Genet. 2023, 14, 1180658. [Google Scholar] [CrossRef] [PubMed]
- Xiong, G.; Chen, W.; Jiang, K.; Liu, S.; Li, J.; Liao, X. Integrated transcriptome and proteome analysis reveals the unique molecular features and nutritional components on the muscles in Chinese Taihe black-bone silky fowl chicken. PLoS ONE 2024, 19, e0299385. [Google Scholar] [CrossRef] [PubMed]
- Prakash, A.; Singh, Y.; Chatli, M.; Sharma, A.; Acharya, P.; Singh, M. Review of the black meat chicken breeds: Kadaknath, Silkie, and Ayam Cemani. World’s Poult. Sci. J. 2023, 79, 879–891. [Google Scholar] [CrossRef]
- Li, Z.; Mushtaq, M.; Khan, M.; Fu, J.; Rahman, A.; Long, Y.; Liu, Y.; Zi, X.; Sun, D.; Ge, C.; et al. Evaluation of the growth performance and meat quality of different F1 crosses of Tengchong Snow and Xichou black bone chicken breeds. Animals 2024, 14, 3099. [Google Scholar] [CrossRef]
- Li, R.; Li, D.H.; Xu, S.; Zhang, P.; Zhang, Z.; He, F.; Li, W.; Sun, G.; Jiang, R.; Li, Z.; et al. Whole-transcriptome sequencing reveals a melanin-related ceRNA regulatory network in the breast muscle of Xichuan black-bone chicken. Poult. Sci. 2024, 103, 103539. [Google Scholar] [CrossRef]
- Budi, T.; Singchat, W.; Tanglertpaibul, N.; Wongloet, W.; Chaiyes, A.; Ariyaraphong, N.; Thienpreecha, W.; Wannakan, W.; Mungmee, A.; Thong, T.; et al. Thai local chicken breeds, Chee Fah and Fah Luang, originated from Chinese black-boned chicken with introgression of red junglefowl and domestic chicken breeds. Sustainability 2023, 15, 6878. [Google Scholar] [CrossRef]
- Xing, Y.; Ma, C.; Guan, H.; Shen, J.; Shen, Y.; Li, G.; Sun, G.; Tian, Y.; Kang, X.; Liu, X.; et al. Multi-omics insights into regulatory mechanisms underlying differential deposition of intramuscular and abdominal fat in chickens. Biomolecules 2025, 15, 134. [Google Scholar] [CrossRef]
- Tian, Y.; Xie, M.; Wang, W.; Wu, H.; Fu, Z.; Lin, L. Determination of carnosine in Black-Bone Silky Fowl (Gallus gallus domesticus Brisson) and common chicken by HPLC. Eur. Food Res. Technol. 2007, 226, 311–314. [Google Scholar] [CrossRef]
- Lynch, S.A.; Mullen, A.M.; O’Neill, E.E.; García, C.A. Harnessing the potential of blood proteins as functional ingredients: A review of the state of the art in blood processing. Compr. Rev. Food Sci. Food Saf. 2017, 16, 330–344. [Google Scholar] [CrossRef]
- Haunshi, S.; Rajkumar, U.; Padhi, M.K. Improvement of PD-4 (Aseel), an indigenous chicken, for growth and production traits. Indian J. Anim. Sci. 2019, 89, 419–423. [Google Scholar] [CrossRef]
- Chomchuen, K.; Tuntiyasawasdikul, V.; Chankitisakul, V.; Boonkum, W. Genetic evaluation of body weights and egg production traits using a multi-trait animal model and selection index in Thai native synthetic chickens (Kaimook e-san2). Animals 2022, 12, 335. [Google Scholar] [CrossRef]
- Liu, T.; Luo, C.; Wang, J.; Ma, J.; Shu, D.; Lund, M.S.; Su, G.; Qu, H. Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens. PLoS ONE 2017, 12, e0173620. [Google Scholar] [CrossRef]
- Sinpru, P.; Bunnom, R.; Poompramun, C.; Kaewsatuan, P.; Sornsan, S.; Kubota, S.; Molee, W.; Molee, A. Association of growth hormone and insulin-like growth factor I genotype with body weight, dominance of body weight, and mRNA expression in Korat slow-growing chickens. Anim. Biosci. 2021, 34, 1886–1894. [Google Scholar] [CrossRef]
- Vaccaro, L.A.; Porter, T.E.; Ellestad, L.E. The effect of commercial genetic selection on somatotropic gene expression in broilers: A potential role for insulin-like growth factor binding proteins in regulating broiler growth and body composition. Front. Physiol. 2022, 13, 935311. [Google Scholar] [CrossRef]
- Yang, C.; Teng, J.; Ning, C.; Wang, W.; Liu, S.; Zhang, Q.; Wang, D.; Tang, H. Effects of growth-related genes on body measurement traits in Wenshang barred chickens. J. Poult. Sci. 2022, 59, 323–327. [Google Scholar] [CrossRef]
- Abuzaid, M.A.; Abdellatif, M.A.; Abdelfattah, M.G. Direct response due to selection for body weight at eight weeks of age in Dandarawi chicken: Body weight and conformation. Egypt. Poult. Sci. 2019, 39, 501–517. [Google Scholar] [CrossRef]
- Ou, Z.; Shi, Y.; Li, Q.; Wu, Y.; Chen, F. Effects of sex on the muscle development and meat composition in Wuliangshan black-bone chickens. Animals 2022, 12, 2565. [Google Scholar] [CrossRef]
- Boonkum, W.; Wiangnak, S.; Chankitisakul, V. Long-term heat stress and genetic responses in growth traits of Thai native synthetic chicken lines. Animals 2025, 15, 2130. [Google Scholar] [CrossRef]
- Lee, J.; Aggrey, S.E. Transcriptomic differences of genes in the avian target of rapamycin (avTOR) pathway in a divergent line of meat-type chickens selected for feed efficiency. Genet. Mol. Res. 2016, 30, 15. [Google Scholar] [CrossRef]
- Tallentire, C.W.; Leinonen, I.; Kyriazakis, I. Artificial selection for improved energy efficiency is reaching its limits in broiler chickens. Sci. Rep. 2018, 8, 1168. [Google Scholar] [CrossRef]
- Li, D.; Wang, Q.; Shi, K.; Lu, Y.; Yu, D.; Shi, X.; Du, W.; Yu, M. Testosterone promotes the proliferation of chicken embryonic myoblasts via androgen receptor mediated PI3K/Akt signaling pathway. Int. J. Mol. Sci. 2020, 21, 1152. [Google Scholar] [CrossRef]
- Orlowski, S.K.; Dridi, S.; Greene, E.S.; Coy, C.S.; Velleman, S.G.; Anthony, N.B. Histological analysis and gene expression of satellite cell markers in the pectoralis major muscle in broiler lines divergently selected for percent 4-day breast yield. Front. Physiol. 2021, 12, 712095. [Google Scholar] [CrossRef]
- Jan, A.T.; Lee, E.J.; Ahmad, S.; Choi, I. Meeting the meat: Delineating the molecular machinery of muscle development. J. Anim. Sci. Technol. 2016, 58, 18. [Google Scholar] [CrossRef]
- Deng, Y.; Qu, X.; Yao, Y.; Li, M.; He, C.; Guo, S. Investigating the impact of pigmentation variation of breast muscle on growth traits, melanin deposition, and gene expression in Xuefeng black-bone chickens. Poult. Sci. 2024, 103, 103691. [Google Scholar] [CrossRef]
- Reyer, H.; Metzler-Zebeli, B.U.; Trakooljul, N.; Oster, M.; Muráni, E.; Ponsuksili, S.; Hadlich, F.; Wimmers, K. Transcriptional shifts account for divergent resource allocation in feed efficient broiler chickens. Sci. Rep. 2018, 8, 12903. [Google Scholar] [CrossRef]
- Kong, B.W.; Lassiter, K.; Piekarski-Welsher, A.; Dridi, S.; Reverter, A. Proteomics of breast muscle tissue associated with the phenotypic expression of feed efficiency within a pedigree male broiler line: I. highlight on mitochondria. PLoS ONE 2016, 11, e0159897. [Google Scholar] [CrossRef]
- Zaefarian, F.; Abdollahi, M.R.; Cowieson, A.; Ravindran, V. Avian liver: The forgotten organ. Animals 2019, 9, 63. [Google Scholar] [CrossRef]
- Lassiter, K.; Kong, B.C.; Piekarski-Welsher, A.; Dridi, S.; Bottje, W.G. Gene expression essential for myostatin signaling and skeletal muscle development is associated with divergent feed efficiency in pedigree male broilers. Front. Physiol. 2019, 10, 126. [Google Scholar] [CrossRef]
- Kimball, S.R.; Jefferson, L.S. Signaling pathways and molecular mechanisms through which branched-chain amino acids mediate translational control of protein synthesis. J. Nutr. 2006, 136, 227S–231S. [Google Scholar] [CrossRef]
- Nie, C.; He, T.; Zhang, W.; Zhang, G.; Ma, X. Branched chain amino acids: Beyond nutrition metabolism. Int. J. Mol. Sci. 2018, 19, 954. [Google Scholar] [CrossRef]
- Jin, C.-L.; Ye, J.-L.; Yang, J.; Gao, C.-Q.; Yan, H.-C.; Li, H.-C.; Wang, X.-Q. mTORC1 mediates lysine-induced satellite cell activation to promote skeletal muscle growth. Cells 2019, 8, 1549. [Google Scholar] [CrossRef] [PubMed]
- Peyrollier, K.; Hajduch, E.; Blair, A.S.; Hyde, R.; Hundal, H.S. l-Leucine availability regulates phosphatidylinositol 3-kinase, p70 S6 kinase and glycogen synthase kinase-3 activity in L6 muscle cells: Evidence for the involvement of the mammalian target of rapamycin (mTOR) pathway in the l-leucine-induced up-regulation of system a amino acid transport. Biochem. J. 2000, 350, 361–368. [Google Scholar] [PubMed]
- Wolfe, R.R. Regulation of muscle protein by amino acids. J. Nutr. 2000, 132, 3219S–3224S. [Google Scholar] [CrossRef] [PubMed]
- Wu, G. Dietary requirements of synthesizable amino acids by animals: A paradigm shift in protein nutrition. J. Animal. Sci. Biotechnol. 2014, 5, 34. [Google Scholar] [CrossRef]
- Wang, Y.; Liu, X.; Wang, Y.; Zhao, G.; Wen, J.; Cui, H. Metabolomics-based analysis of the major taste contributors of meat by comparing differences in muscle tissue between chickens and common livestock species. Foods 2022, 11, 3586. [Google Scholar] [CrossRef]
- Resnyk, C.W.; Chen, C.; Huang, H.; Wu, C.H.; Simon, J.; Le Bihan-Duval, E.; Duclos, M.J.; Cogburn, L.A. RNA-seq analysis of abdominal fat in genetically fat and lean chickens highlights a divergence in expression of genes controlling adiposity, hemostasis, and lipid metabolism. PLoS ONE 2015, 10, e0139549. [Google Scholar] [CrossRef]
- Tian, J.; Zhu, X.; Wu, H.; Wang, Y.; Hu, X. Serum metabolic profile and metabolome genome-wide association study in chicken. J. Anim. Sci. Biotechnol. 2023, 14, 69. [Google Scholar] [CrossRef]
- Haunshi, S.; Rajkumar, U.; Paswan, C.; Prince, L.L.L.; Chatterjee, R.N. Inheritance of growth traits and impact of selection on carcass and egg quality traits in Vanashree, an improved indigenous chicken. Trop. Anim. Health Prod. 2021, 53, 128. [Google Scholar] [CrossRef]

| Nutrient Content (per 100 g) | Genetically Selected Black-Boned Chicken | Unselected Black-Boned Chicken | p-Value | ||||
|---|---|---|---|---|---|---|---|
| Breast Meat | Blood | Breast Meat | Blood | Chicken Lines (C) | Sample Type (S) | Interaction C × S | |
| Total Energy (kcal) | 109.6 | 88.44 | 103.25 | 84.44 | <0.001 | 0.032 | <0.001 |
| Total Fat (g) | 0.92 | 0.24 | 0.73 | 0.64 | 0.047 | 0.021 | 0.024 |
| Cholesterol (mg) | 43.03 | 155.09 | 46.15 | 225.44 | <0.001 | <0.001 | <0.001 |
| Protein (g) | 24.45 | 20.57 | 23.39 | 19.67 | 0.058 | 0.078 | 0.245 |
| Carbohydrates (g) | 0.88 | <0.01 | 0.78 | <0.01 | 0.072 | 0.001 | 0.352 |
| Sodium (mg) | 51.73 | 184.81 | 52.99 | 236.99 | <0.001 | <0.001 | <0.001 |
| Vitamin A (μg/100 g) | Not detected | 20.29 | Not detected | 43.85 | na | na | na |
| Vitamin B1 (mg) | <0.02 | Not detected | <0.03 | Not detected | na | na | na |
| Vitamin B2 (mg) | Not detected | Not detected | 0.03 | Not detected | na | na | na |
| Calcium (mg/100 g) | 3.94 | 12.89 | 4.74 | 19.82 | 0.023 | <0.001 | 0.033 |
| Iron (mg/100 g) | 0.33 | 24.37 | 0.42 | 30.33 | 0.029 | <0.001 | 0.024 |
| Amino Acid Profiles | Genetically Selected Black-Boned Chickens | Unselected Black-Boned Chickens | p-Value | ||||
|---|---|---|---|---|---|---|---|
| Breast Meat | Blood | Breast Meat | Blood | Chicken Lines (C) | Sample Type (S) | Interaction C × S | |
| Aspartic acid | 2408.36 | 651.66 | 2198.46 | 1689.45 | 0.015 | 0.021 | 0.012 |
| Threonine | 1120.32 | 375.90 | 1043.82 | 995.26 | 0.003 | 0.028 | 0.023 |
| Serine | 1021.42 | 315.53 | 962.73 | 859.95 | 0.038 | 0.025 | 0.011 |
| Glutamic acid | 3829.55 | 893.21 | 3544.55 | 2191.34 | 0.019 | 0.035 | 0.027 |
| Glycine | 1112.38 | 301.72 | 1002.53 | 791.20 | 0.039 | 0.024 | 0.020 |
| Alanine | 1460.49 | 557.77 | 1332.00 | 1461.07 | 0.045 | 0.028 | 0.029 |
| Cystine | Not detected | Not detected | Not detected | Not detected | na | na | na |
| Valine | 1414.45 | 495.08 | 1263.07 | 1269.99 | 0.018 | 0.032 | 0.015 |
| Methionine | 628.58 | Not detected | 601.64 | Not detected | na | na | na |
| Isoleucine | 1182.98 | 241.06 | 1083.57 | 677.90 | 0.048 | 0.032 | 0.024 |
| Leucine | 2076.74 | 814.90 | 1924.93 | 2063.69 | 0.033 | 0.024 | 0.012 |
| Tyrosine | 865.65 | 264.31 | 823.31 | 671.55 | 0.042 | 0.033 | 0.034 |
| Phenylalanine | 1048.23 | 445.06 | 960.56 | 1188.55 | 0.039 | 0.031 | 0.022 |
| Histidine | 1707.79 | 376.61 | 1452.89 | 910.26 | 0.027 | 0.020 | 0.012 |
| Hydroxylysine | Not detected | Not detected | Not detected | Not detected | na | na | na |
| Lysine | 2306.85 | 644.83 | 2155.01 | 1737.82 | 0.022 | 0.015 | 0.008 |
| Arginine | 1659.19 | 405.77 | 1527.41 | 1058.96 | 0.014 | 0.009 | 0.015 |
| Hydroxyproline | Not detected | Not detected | Not detected | Not detected | na | na | na |
| Proline | 834.60 | 291.46 | 785.58 | 759.05 | 0.042 | 0.032 | 0.038 |
| Tryptophan | Not detected | Not detected | Not detected | Not detected | na | na | na |
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Kenchaiwong, W.; Kananit, S.; Chankitisakul, V.; Boonkum, W. Effects of Genetic Selection on Growth, Nutritional Value, and Amino Acid Profiles of Breast Muscle and Blood in Black-Boned Chickens. Animals 2026, 16, 581. https://doi.org/10.3390/ani16040581
Kenchaiwong W, Kananit S, Chankitisakul V, Boonkum W. Effects of Genetic Selection on Growth, Nutritional Value, and Amino Acid Profiles of Breast Muscle and Blood in Black-Boned Chickens. Animals. 2026; 16(4):581. https://doi.org/10.3390/ani16040581
Chicago/Turabian StyleKenchaiwong, Wootichai, Srinuan Kananit, Vibuntita Chankitisakul, and Wuttigrai Boonkum. 2026. "Effects of Genetic Selection on Growth, Nutritional Value, and Amino Acid Profiles of Breast Muscle and Blood in Black-Boned Chickens" Animals 16, no. 4: 581. https://doi.org/10.3390/ani16040581
APA StyleKenchaiwong, W., Kananit, S., Chankitisakul, V., & Boonkum, W. (2026). Effects of Genetic Selection on Growth, Nutritional Value, and Amino Acid Profiles of Breast Muscle and Blood in Black-Boned Chickens. Animals, 16(4), 581. https://doi.org/10.3390/ani16040581

