Romanov Michael N, Shakhin Alexey V, Abdelmanova Alexandra S, Volkova Natalia A, Efimov Dmitry N, Fisinin Vladimir I, Korshunova Liudmila G, Anshakov Dmitry V, Dotsev Arsen V, Griffin Darren K, Zinovieva Natalia A
L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia.
School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK.
Genes (Basel). 2024 Apr 22;15(4):524. doi: 10.3390/genes15040524.
Breeding improvements and quantitative trait genetics are essential to the advancement of broiler production. The impact of artificial selection on genomic architecture and the genetic markers sought remains a key area of research. Here, we used whole-genome resequencing data to analyze the genomic architecture, diversity, and selective sweeps in Cornish White (CRW) and Plymouth Rock White (PRW) transboundary breeds selected for meat production and, comparatively, in an aboriginal Russian breed of Ushanka (USH). Reads were aligned to the reference genome bGalGal1.mat.broiler.GRCg7b and filtered to remove PCR duplicates and low-quality reads using BWA-MEM2 and bcftools software; 12,563,892 SNPs were produced for subsequent analyses. Compared to CRW and PRW, USH had a lower diversity and a higher genetic distinctiveness. Selective sweep regions and corresponding candidate genes were examined based on Z, hapFLK, and ROH assessment procedures. Twenty-seven prioritized chicken genes and the functional projection from human homologs suggest their importance for selection signals in the studied breeds. These genes have a functional relationship with such trait categories as body weight, muscles, fat metabolism and deposition, reproduction, etc., mainly aligned with the QTLs in the sweep regions. This information is pivotal for further executing genomic selection to enhance phenotypic traits.
育种改良和数量性状遗传学对于肉鸡生产的进步至关重要。人工选择对基因组结构和所寻找的遗传标记的影响仍然是一个关键研究领域。在此,我们使用全基因组重测序数据来分析用于肉类生产的科尼什白鸡(CRW)和普利茅斯洛克白鸡(PRW)这两个跨界品种以及相对而言俄罗斯本土乌山卡鸡(USH)的基因组结构、多样性和选择清除情况。读取的数据与参考基因组bGalGal1.mat.broiler.GRCg7b进行比对,并使用BWA-MEM2和bcftools软件进行过滤以去除PCR重复序列和低质量读取数据;共产生了12,563,892个单核苷酸多态性(SNP)用于后续分析。与CRW和PRW相比,USH的多样性较低且遗传独特性较高。基于Z值、hapFLK和ROH评估程序对选择清除区域和相应的候选基因进行了检测。27个优先考虑的鸡基因以及来自人类同源基因的功能预测表明它们对于所研究品种中的选择信号具有重要意义。这些基因与体重、肌肉、脂肪代谢与沉积、繁殖等性状类别存在功能关系,主要与选择清除区域中的数量性状位点(QTL)一致。这些信息对于进一步实施基因组选择以改善表型性状至关重要。