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全基因组关联研究确定了多样化马铃薯群体中农艺和形态性状的多个潜在基因座。

Genome-wide association study identifies various loci underlying agronomic and morphological traits in diversified potato panel.

作者信息

Zia Muhammad Abu Bakar, Demirel Ufuk, Nadeem Muhammad Azhar, Çaliskan Mehmet Emin

机构信息

1Department of Agricultural Genetic Engineering, Faculty of Agricultural Sciences and Technologies, Niğde Ömer Halisdemir University, 51240 Niğde, Turkey.

College of Agriculture, Bolu Abant Izzet Baysal University, Bahadur Sub Campus Layyah, Pakistan.

出版信息

Physiol Mol Biol Plants. 2020 May;26(5):1003-1020. doi: 10.1007/s12298-020-00785-3. Epub 2020 Mar 27.

Abstract

Potato is one of the most important food crops all over the world. Breeding activities for this crop are mainly aimed to improve the quality and yield of tuber. However, genetic architecture of various traits contributing to the quality and yield of potato are not yet completely understood. Genome wide association studies provides a broader way to identify the genomic regions associated with various traits. Panels of 237 tetraploid potato genotypes from different countries were grown for two consecutive years 2016 and 2017 at experimental research area of Potato research center Niğde, Turkey. A genome wide association study using SolCAP 12K array was performed for various morpho-agronomic traits. Structure algorithm and neighborhood joining analysis clearly divided all genotypes into 4 clusters on the basis of their origin. For the marker trait association, Mixed Linear Model in TASSEL was performed and 36 genomic regions were found for the traits under study. The mean r value was found to be 0.92 and mean significant LD was 47.5% in the populations. LD patterns reflected the breeding history of potato. The findings of present study provide a framework which could be useful for future potato breeding programs to enhance the production and to reduce the challenges in the coming years to feed world's population.

摘要

马铃薯是世界上最重要的粮食作物之一。该作物的育种活动主要旨在提高块茎的品质和产量。然而,对影响马铃薯品质和产量的各种性状的遗传结构尚未完全了解。全基因组关联研究为识别与各种性状相关的基因组区域提供了更广泛的途径。来自不同国家的237个四倍体马铃薯基因型的群体于2016年和2017年在土耳其尼杰德马铃薯研究中心的试验研究区域连续种植两年。使用SolCAP 12K芯片对各种形态农艺性状进行了全基因组关联研究。结构算法和邻接法分析根据基因型的来源将所有基因型清晰地分为4个簇。对于标记-性状关联,在TASSEL中进行了混合线性模型分析,发现了36个与所研究性状相关的基因组区域。群体中的平均r值为0.92,平均显著连锁不平衡为47.5%。连锁不平衡模式反映了马铃薯的育种历史。本研究结果提供了一个框架,可用于未来的马铃薯育种计划,以提高产量并减少未来几年养活世界人口所面临的挑战。

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