Revealing Pathways Associated with Feed Efficiency and Meat Quality Traits in Slow-Growing Chickens
2021
Poompramun, Chotima | Hennequet-Antier, Christelle | Thumanu, Kanjana | Sinpru, Panpradub | Pengsanthia, Saknarin | Molee, Wittawat | Molee, Amonrat | Le Bihan-Duval, Elisabeth | Juanchich, Amélie | Suranaree University of Technology (SUT) | Biologie des Oiseaux et Aviculture (BOA) ; Université de Tours (UT)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Synchrotron Light Research Institute (SLRI) | he authors would like to thank the Thailand Research Fund and the Center of Excellence on Technology and Innovation for Korat Chicken Business Development for their joint financial support through the Royal Golden Jubilee PhD Program (Grant No. PHD/0129/2557). Moreover, the first author also thanks the BOA Unit (INRAE, University de Tours, 37380, Nouzilly, France) for valuable discussions on transcriptomic and functional analyses. | ANR-11-INBS-0013,IFB (ex Renabi-IFB),Institut français de bioinformatique(2011)
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显示更多 [+] 显示较少 [-]英语. Here, molecular pathways and genes involved in the feed efficiency (FE) and thigh-meat quality of slow-growing Korat chickens were investigated. Individual feed intake values and body weights were collected weekly to the calculate feed conversion ratios (FCR) and residual feed intake. The biochemical composition and meat quality parameters were also measured. On the basis of extreme FCR values at 10 weeks of age, 9 and 12 birds from the high and the low FCR groups, respectively, were selected, and their transcriptomes were investigated using the 8 × 60 K Agilent chicken microarray. A weighted gene co-expression network analysis was performed to determine the correlations between co-expressed gene modules and FE, thigh-meat quality, or both. Groups of birds with different FE values also had different nucleotide, lipid, and protein contents in their thigh muscles. In total, 38 modules of co-expressed genes were identified, and 12 were correlated with FE and some meat quality traits. A functional analysis highlighted several enriched functions, such as biological processes, metabolic processes, nucleotide metabolism, and immune responses. Several molecular factors were involved in the interactions between FE and meat quality, including the assembly competence domain, baculoviral IAP repeat containing 5, cytochrome c oxidase assembly factor 3, and myosin light chain 9 genes.
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