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A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens

机译:全基因组关联研究揭示了新型基因组区域和肉鸡脂肪沉积的候选基因

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Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken’s carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production.
机译:鸡的脂肪过多会对家禽生产产生负面影响。与TL体中脂肪沉积相关的QTL的发现可以识别可能调节脂肪沉积的位置候选基因(PCG),并有助于针对鸡car体中多余的脂肪进行选择。这项研究旨在评估基因组遗传力系数,并确定源自白普利茅斯岩和白康沃尔犬种的肉鸡腹部脂肪(ABF)和皮肤(SKIN)性状的QTL和PCG。在我们的肉鸡群体中,ABF和SKIN是中等遗传性状,估计范围为0.23至0.33。使用高密度SNP面板(355,027个信息丰富的SNP),我们检测到了9个与这些脂肪性状相关的独特QTL。其中,有四个QTL是新颖的,而以前在文献中已有五个报告。确定了十三种可能调节这些QTL区域中脂肪沉积的PCG:JDP2,PLCG1,HNF4A,FITM2,ADIPOR1,PTPN11,MVK,APOA1,APOA4,APOA5,ENSGALG00000000477,ENSGALG00000000483和ENSGALG00000005043。我们使用了来自始祖动物的序列信息来检测13个PCG中的4843个SNP。其中,两个被归类为潜在有害物质,另外两个被归为高影响力SNP。这项研究产生了新颖的结果,有助于更好地了解鸡中的脂肪沉积。与低密度的SNP相比,高密度SNP阵列的使用增加了基因组覆盖率并提高了QTL分辨率。鉴定出的PCG参与了许多调节脂质储存的生物学过程。 PCG中识别出的SNP,尤其是那些预测为潜在有害和高影响的SNP,可能会影响脂肪沉积。在使用这些SNP来选择抗against体脂肪积累和提高肉鸡生产效率时,应进行验证。

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