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利用 35K 小麦育种者 Affymetrix 芯片进行小麦磷效率性状的群体结构和全基因组关联研究。

Population structure and genome-wide association studies in bread wheat for phosphorus efficiency traits using 35 K Wheat Breeder's Affymetrix array.

机构信息

Mineral Nutrition Laboratory, Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India.

Regional Agricultural Research Station, Kerala Agricultural University, Ambalavayal, Wayanad, 673593, Kerala, India.

出版信息

Sci Rep. 2021 Apr 7;11(1):7601. doi: 10.1038/s41598-021-87182-2.

Abstract

Soil bioavailability of phosphorus (P) is a major concern for crop productivity worldwide. As phosphatic fertilizers are a non-renewable resource associated with economic and environmental issues so, the sustainable option is to develop P use efficient crop varieties. We phenotyped 82 diverse wheat (Triticum aestivum L.) accessions in soil and hydroponics at low and sufficient P. To identify the genic regions for P efficiency traits, the accessions were genotyped using the 35 K-SNP array and genome-wide association study (GWAS) was performed. The high-quality SNPs across the genomes were evenly distributed with polymorphic information content values varying between 0.090 and 0.375. Structure analysis revealed three subpopulations (C1, C2, C3) and the phenotypic responses of these subpopulations were assessed for P efficiency traits. The C2 subpopulation showed the highest genetic variance and heritability values for numerous agronomically important traits as well as strong correlation under both P levels in soil and hydroponics. GWAS revealed 78 marker-trait associations (MTAs) but only 35 MTAs passed Bonferroni Correction. A total of 297 candidate genes were identified for these MTAs and their annotation suggested their involvement in several biological process. Out of 35, nine (9) MTAs were controlling polygenic trait (two controlling four traits, one controlling three traits and six controlling two traits). These multi-trait MTAs (each controlling two or more than two correlated traits) could be utilized for improving bread wheat to tolerate low P stress through marker-assisted selection (MAS).

摘要

土壤磷(P)生物有效性是全球作物生产力的主要关注点。由于磷肥是一种不可再生资源,与经济和环境问题有关,因此可持续的选择是开发磷利用效率高的作物品种。我们在低磷和充足磷条件下对 82 种不同的小麦(Triticum aestivum L.)品种进行了土壤和水培表型分析。为了鉴定磷效率性状的基因区域,我们使用 35K-SNP 芯片对品种进行了基因型分析,并进行了全基因组关联研究(GWAS)。基因组上的高质量 SNP 均匀分布,多态信息含量值在 0.090 到 0.375 之间变化。结构分析显示了三个亚群(C1、C2、C3),并评估了这些亚群对磷效率性状的表型反应。C2 亚群在土壤和水培条件下对许多农艺重要性状表现出最高的遗传方差和遗传力值,以及强烈的相关性。GWAS 共发现了 78 个标记-性状关联(MTA),但只有 35 个 MTA 通过了 Bonferroni 校正。总共为这些 MTA 鉴定了 297 个候选基因,它们的注释表明它们参与了几个生物学过程。在这 35 个 MTA 中,有 9 个(9)MTA 控制着多基因性状(两个控制着 4 个性状,一个控制着 3 个性状,6 个控制着 2 个性状)。这些多性状 MTA(每个控制两个或两个以上相关性状)可以通过标记辅助选择(MAS)用于提高面包小麦对低磷胁迫的耐受性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/187d/8027818/f8612984d014/41598_2021_87182_Fig1_HTML.jpg

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