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首页 > 过刊浏览>年第0卷第10期 >. DOI:10.13430/j.cnki.jpgr.20260503001 优先出版
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玉米群体开花期性状遗传研究及基因发掘
DOI:
10.13430/j.cnki.jpgr.20260503001
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作者单位:

1.山西农业大学农学院;2.中国农业科学院作物科学研究所/作物分子育种国家工程研究中心/作物基因资源与育种全国重点实验室;3.山西农业大学山西省农业科学院棉花研究所

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基金项目:

山西省科技重大专项计划“揭榜挂帅”项目:主要粮油作物关键性状优异基因挖掘与种质创新


Genetic Analysis and Identification of Genes Associated with Flowering Time Traits in a Maize Population
Author:
Affiliation:

1.College of Agriculture,Shanxi Agricultural University;2.Institute of Crop Sciences,Chinese Academy of Agricultural Sciences/National Engineering Research Center for Crop Molecular Breeding/National Key Laboratory of Crop Genetic Resources and Breeding;3.Cotton Research Institute,Shanxi Agricultural University Shanxi Academy of Agricultural Sciences

Fund Project:

Major Science and Technology Special Program (Challenge-Based Research Initiative) of Shanxi Province (Challenge-Based Research Project): Mining of elite genes controlling key traits and germplasm innovation in major grain and oil crops

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    摘要:

    开花期是决定玉米生态适应性、熟期进程和区域利用价值的重要农艺性状。系统评价玉米自交系花期变异并挖掘多环境稳定关联位点,可为早熟种质筛选和分子育种提供参考。为解析玉米开花期性状的遗传基础,发掘控制该性状的关键基因位点,本研究以352份遗传背景丰富的玉米自交系为材料,于2024年北京昌平、2024年山西榆次、2025年北京顺义进行田间试验,准确测定抽雄期(DT)、散粉期(DP)和吐丝期(DS)三个性状的表型数据。利用全基因组重测序获得的11,004,183个高质量单核苷酸多态性(SNP)标记,采用FarmCPU模型进行GWAS分析。结果表明,3个花期性状表现出较丰富的表型变异,广义遗传力达0.93~0.94,性状间均呈极显著正相关。GWAS共检测到113个与三个性状显著关联的SNP,其中6个为多环境下稳定检测到的非冗余主效位点,其中两个位点表现出共定位特征。进一步对这两个稳定位点区间的12个候选基因进行分析,最终筛选出3个显著关联的候选基因:Zm00001d027419(编码bHLH转录因子)、Zm00001d050151(编码蔗糖合酶)和Zm00001d050153(编码网状蛋白样蛋白)。单倍型分析表明,这三个基因的优异单倍型均与早花效应显著相关。这些发现不仅为深入理解玉米开花期的分子调控机制提供了新见解,也为早熟性的分子标记辅助选择和基因组育种提供了宝贵的基因资源和理论依据。

    Abstract:

    Flowering time is an important agronomic trait that determines ecological adaptation, maturity progression, and regional utilization value in maize. Systematic evaluation of flowering time variation in maize inbred lines and identification of stable association loci across multiple environments can provide useful references for the screening of early-maturing germplasm and molecular breeding. To dissect the genetic basis of flowering time traits and identify key loci controlling these traits, 352 maize inbred lines with diverse genetic backgrounds were used in this study. Field trials were conducted in Changping, Beijing in 2024, Yuci, Shanxi in 2024, and Shunyi, Beijing in 2025. Three flowering time traits, namely days to tasseling (DT), days to pollen shedding (DP), and days to silking (DS), were accurately evaluated. Based on 11,004,183 high-quality single nucleotide polymorphism (SNP) markers obtained from whole-genome resequencing, genome-wide association studies (GWAS) were performed using the FarmCPU model. The results showed that the three flowering time traits exhibited abundant phenotypic variation, with broad-sense heritability ranging from 0.93 to 0.94. Highly significant positive correlations were observed among the three traits. A total of 113 SNPs significantly associated with the three traits were detected by GWAS. Among them, six non-redundant major-effect loci were stably detected across multiple environments, and two loci showed co-localization patterns. Further analysis of 12 candidate genes within the intervals of these two stable loci identified three significantly associated candidate genes: Zm00001d027419, encoding a bHLH transcription factor; Zm00001d050151, encoding sucrose synthase; and Zm00001d050153, encoding a reticulon-like protein. Haplotype analysis showed that the favorable haplotypes of these three genes were significantly associated with early flowering. These findings provide new insights into the molecular regulatory mechanism of flowering time in maize and offer valuable genetic resources and theoretical support for marker-assisted selection and genomic breeding of early-maturing maize.

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  • 收稿日期:2026-05-03
  • 最后修改日期:2026-07-29
  • 录用日期:2026-07-30
  • 在线发布日期: 2026-07-31
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