Population genomic analysis reveals key genetic variations and the driving force for embryonic callus induction capability in maize

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国家科技期刊平台
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外文摘要：Genetic transformation has been an effective technology for improving the agronomic traits of maize.However,it is highly reliant on the use of embryonic callus(EC)and shows a serious genotype dependence.In this study,we performed genomic sequencing for 80 core maize germplasms and constructed a high-density genomic variation map using our newly developed pipeline(MQ2Gpipe).Based on the induction rate of EC(REC),these inbred lines were categorized into three subpopulations.The low-REC germplasms displayed more abundant genetic diversity than the high-REC germplasms.By integrating a genome-wide selective signature screen and region-based association analysis,we revealed 95.23 Mb of selective regions and 43 REC-associated variants.These variants had phenotypic variance explained values ranging between 21.46 and 49.46％.In total,103 candidate genes were identified within the linkage disequilibrium regions of these REC-associated loci.These genes mainly participate in regulation of the cell cycle,regulation of cytokinesis,and other functions,among which MYB15 and EMB2745 were located within the previously reported QTL for EC induction.Numerous leaf area-associated variants with large effects were closely linked to several REC-related loci,implying a potential synergistic selection of REC and leaf size during modern maize breeding.

外文关键词：

maizegenetic transformationembryonic callusselective signalassociation analysis

作者：

Peng Liu、Langlang Ma、Siyi Jian、Yao He、Guangsheng Yuan、Fei Ge、Zhong Chen、Chaoying Zou、Guangtang Pan、Thomas Lübberstedt、Yaou Shen

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作者单位：

State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China/Maize Research Institute,Sichuan Agricultural University,Chengdu 611130,China

Department of Agronomy,Iowa State University,Ames,IA 50011,USA

基金：

National Key Research and Development Program of ChinaNational Nature Science Foundation of ChinaNational Nature Science Foundation of ChinaNational Nature Science Foundation of ChinaSichuan Science and Technology Program,ChinaSichuan Science and Technology Program,China

项目编号：

2021YFF10003033207207332001500321017772021JDTD00042021YJ0476

出版年：

2024

DOI：

10.1016/j.jia.2023.06.032

农业科学学报(英文)

中国农业科学院农业信息研究所

农业科学学报(英文)

CSTPCD

影响因子：0.576

ISSN：2095-3119

年,卷(期)：2024.23(7)