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利用玉米 IBM Syn10 DH 群体在三个环境下对茎秆倒伏相关性状进行遗传剖析(玉米)。

Genetic dissection of stalk lodging-related traits using an IBM Syn10 DH population in maize across three environments (Zea mays L.).

机构信息

Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.

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

出版信息

Mol Genet Genomics. 2019 Oct;294(5):1277-1288. doi: 10.1007/s00438-019-01576-6. Epub 2019 May 28.

DOI:10.1007/s00438-019-01576-6
PMID:31139941
Abstract

Stalk lodging severely limits the grain yield of maize (Zea mays L.). Mechanical stalk strength can be reflected by the traits of stalk diameter (SD), stalk bending strength (SBS), and lodging rind penetrometer resistance (RPR). To determine the genetic basis of maize stalk lodging, quantitative trait loci (QTLs) were mapped for these three traits using the IBM Syn10 DH population in three environments. The results indicated that there were strong genetic correlations among the three traits, and the analyses of phenotypic variations for SD, SBS, and RPR across the three environments showed high broad-sense heritability (0.6843, 0.5175, and 0.7379, respectively). In total, 44 significant QTLs were identified control the above traits across the 3 environments. A total of 14, 14, and 16 QTLs were identified for SD, SBS, and RPR across single-environment mapping, respectively. Notably, ten QTLs were stably expressed across multiple-environments, including two QTLs for SD, three for SBS, and five for RPR. Three major QTLs each accounting for over 10% of the phenotypic variation were qSD6-2 (10.03%), qSD8-2 (13.73%), and qSBS1-2 (11.89%). Comprehensive analysis of all QTLs in this study revealed that 5 QTL clusters including 12 QTLs were located on chromosomes 1, 3, 7, and 8, respectively. Among these 44 QTLs, 9 harbored 13 stalk lodging-associated SNPs that were detected by our recently published work, with 1 SNP successfully validated in the IBM Syn10 DH population. These chromosomal regions will be useful for marker-assisted selection and fine mapping of stalk lodging-related traits in maize.

摘要

茎秆倒伏严重限制了玉米(Zea mays L.)的籽粒产量。茎秆强度可以用茎直径(SD)、茎弯曲强度(SBS)和倒伏外皮穿刺阻力(RPR)等性状来反映。为了确定玉米茎秆倒伏的遗传基础,使用 IBM Syn10 DH 群体在三个环境下对这三个性状进行了数量性状位点(QTL)作图。结果表明,这三个性状之间存在很强的遗传相关性,对三个环境下 SD、SBS 和 RPR 的表型变异分析显示出高的广义遗传力(分别为 0.6843、0.5175 和 0.7379)。总共鉴定出了 44 个控制这三个性状的显著 QTLs。在单环境作图中,分别鉴定出了 14、14 和 16 个 QTLs 来控制 SD、SBS 和 RPR。值得注意的是,有 10 个 QTL 稳定地在多个环境中表达,包括 2 个 SD 的 QTLs、3 个 SBS 的 QTLs 和 5 个 RPR 的 QTLs。三个主要的 QTL 分别解释了超过 10%的表型变异,分别是 qSD6-2(10.03%)、qSD8-2(13.73%)和 qSBS1-2(11.89%)。对本研究中所有 QTL 的综合分析表明,有 5 个 QTL 簇分别位于第 1、3、7 和 8 号染色体上,包含 12 个 QTLs。在这 44 个 QTL 中,有 9 个包含了我们最近发表的工作中检测到的 13 个与茎秆倒伏相关的 SNP,其中 1 个 SNP 在 IBM Syn10 DH 群体中得到了成功验证。这些染色体区域将有助于玉米与茎秆倒伏相关性状的标记辅助选择和精细定位。

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本文引用的文献

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Multi-Locus Genome-Wide Association Study Reveals the Genetic Architecture of Stalk Lodging Resistance-Related Traits in Maize.多位点全基因组关联研究揭示了玉米茎倒伏抗性相关性状的遗传结构。
Front Plant Sci. 2018 May 7;9:611. doi: 10.3389/fpls.2018.00611. eCollection 2018.
2
MicroRNA528 Affects Lodging Resistance of Maize by Regulating Lignin Biosynthesis under Nitrogen-Luxury Conditions.MicroRNA528 通过调控氮素过剩条件下木质素的生物合成影响玉米抗倒伏性。
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Genome-wide association analysis and QTL mapping reveal the genetic control of cadmium accumulation in maize leaf.
联合连锁作图和关联分析揭示了玉米三个环境下 25 个叶片相关性状的候选基因。
Theor Appl Genet. 2023 Jan;136(1):12. doi: 10.1007/s00122-023-04285-2. Epub 2023 Jan 20.
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Identification of quantitative trait loci for related traits of stalk lodging resistance using genome-wide association studies in maize (Zea mays L.).利用全基因组关联研究鉴定玉米(Zea mays L.)抗茎倒伏相关性状的数量性状位点。
BMC Genom Data. 2022 Nov 1;23(1):76. doi: 10.1186/s12863-022-01091-5.
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Identification of two new QTLs of maize (Zea mays L.) underlying kernel row number using the HNAU-NAM1 population.利用 HNAU-NAM1 群体鉴定玉米(Zea mays L.) kernel row number 两个新的 QTL。
BMC Genomics. 2022 Aug 15;23(1):593. doi: 10.1186/s12864-022-08793-1.
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Front Plant Sci. 2022 Apr 25;13:849421. doi: 10.3389/fpls.2022.849421. eCollection 2022.
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Genes (Basel). 2022 Mar 24;13(4):579. doi: 10.3390/genes13040579.
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全基因组关联分析和 QTL 作图揭示了玉米叶片镉积累的遗传控制。
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