数字农科院2.0

Reconciliation of wheat 660K and 90K SNP arrays and their utilization in dough rheological properties of bread whea

文献类型： 外文期刊

作者： Sun C; Jing Z; Chen X; Chen J; Shang Q; Jin H; Jia J; Ren Y; Zhao L; Gao L; He Z; Chen F.

关键词： Wheat;;geonome;;SNP

期刊名称： Journal of Advanced Research

ISSN： 2090-1232

年卷期： 2025 年

页码：

收录情况： SCIE（2025版）

摘要： Introduction: High-density Wheat 660K and 90K SNP arrays are powerful tools for understanding the genetic basis of wheat traits. However, their inconsistantly physical positions that were caused by differ ent versions of Chinese Spring genome during developing arrays are confused and inconvenient for further application. Objective: With the repid development of wheat geonome sequencing, we aim to reconciliate Wheat 660K and 90K SNP arrays in modern cultivar and reveal the genetic basis of dough rheological properties in bread wheat. Methods: We refined physical positions of Wheat 660K and 90K SNP arrays in the currently popular wheat cultivar AK58 genome that was released more recently. We next performed genome-wide association studies (GWAS) and linkage analysis to identify important genetic loci related to quality traits using updated and un-updated arrays, respectively. Results: Refining results showed that 92.3% and 83% of SNPs in the Wheat 660K and 90K SNP arrays were precisely mapped to the AK58 genome, respective. GWAS results by the updated 660K and 90K arrays indicated that 26 intervals composed of 1032 significant SNPs were associated with 9 quality traits in multiple environments. The significant interval for stability time on 1D was narrowed into an 8.4-Mb region using the updated arrays, whereas the interval is 405 Mb using the un-updated arrays. Linkage analysis revealed an important QTL QST.henau-1D.2 for stability time with 1.64 Mb. Integration of GWAS and QTL results narrowed the significant interval into 6.46 Mb containing 35 annotation genes by collinearity analysis. After T-test, gene expression analysis, seven of them are potential candidate genes and thus favorable haplotypes are identified to benefit marker-assisted selection.

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