数字农科院2.0

Dissection of the practical soybean breeding pipeline by developing ZDX1, a high-throughput functional array

文献类型： 外文期刊

作者： Sun, Rujian;Sun, Bincheng;Tian, Yu;Su, Shanshan;Zhang, Yong;Zhang, Wanhai;Wang, Jingshun;Yu, Ping;Guo, Bingfu;Li, Huihui;Li, Yanfei;Gao, Huawei;Gu, Yongzhe;Yu, Lili;Ma, Yansong;Su, Erhu;Li, Qiang;Hu, Xingguo;Zhang, Qi;Guo, Rongqi;Chai, Shen;Feng, Lei;Wang, Jun;Hong, Huilong;Xu, Jiangyuan;Yao, Xindong;Wen, Jing;Liu, Jiqiang;Li, Yinghui;Qiu, Lijuan

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期刊名称： THEORETICAL AND APPLIED GENETICS

ISSN： 0040-5752

年卷期： 2022 年

页码：

收录情况： SCIE（2022版） ; EI（2022版）

摘要： Key message We developed the ZDX1 high-throughput functional soybean array for high accuracy evaluation and selection of both parents and progeny, which can greatly accelerate soybean breeding. Microarray technology facilitates rapid, accurate, and economical genotyping. Here, using resequencing data from 2214 representative soybean accessions, we developed the high-throughput functional array ZDX1, containing 158,959 SNPs, covering 90.92% of soybean genes and sites related to important traits. By application of the array, a total of 817 accessions were genotyped, including three subpopulations of candidate parental lines, parental lines and their progeny from practical breeding. The fixed SNPs were identified in progeny, indicating artificial selection during the breeding process. By identifying functional sites of target traits, novel soybean cyst nematode-resistant progeny and maturity-related novel sources were identified by allele combinations, demonstrating that functional sites provide an efficient method for the rapid screening of desirable traits or gene sources. Notably, we found that the breeding index (BI) was a good indicator for progeny selection. Superior progeny were derived from the combination of distantly related parents, with at least one parent having a higher BI. Furthermore, new combinations based on good performance were proposed for further breeding after excluding redundant and closely related parents. Genomic best linear unbiased prediction (GBLUP) analysis was the best analysis method and achieved the highest accuracy in predicting four traits when comparing SNPs in genic regions rather than whole genomic or intergenic SNPs. The prediction accuracy was improved by 32.1% by using progeny to expand the training population. Collectively, a versatile assay demonstrated that the functional ZDX1 array provided efficient information for the design and optimization of a breeding pipeline for accelerated soybean breeding.

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