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株高和穗位高是决定玉米株型的关键农艺性状，解析其遗传基础并挖掘候选基因，对理解株型发育的分子机制具有重要意义。以331份玉米多亲本双单倍体（DH）群体为材料，结合6个环境及联合环境下的株高、穗位高表型值和线性无偏预测(BLUP)值，利用广义线性模型（GLM）和多层模型（主成分分析+K-means聚类）[MLM+(PCA+K)]模型开展全基因组关联分析。结果表明，2个性状变异系数为10.40%～23.00%，株高和穗位高广义遗传率分别为74.6%和84.1%，基因型、环境及其互作效应显著。共检测到324个显著性单核苷酸多态性标记（SNPs），其中15个SNPs在两个性状中共定位。在共定位标记17.8 kb范围内，鉴定出257个候选基因，其中6个基因在多环境两模型中均被检测到。本研究共检测到324个与株高和穗位高显著关联的SNPs位点，其中5个位点可稳定遗传，并预测了6个可能参与调控这两个性状的关键候选基因。
Abstract：Plant height and ear height are key agronomic traits determining plant architecture in maize. Elucidating their genetic basis and identifying candidate genes is of great significance for understanding the molecular mechanisms underlying plant type development. A multi-parent doubled haploid(DH) population consisting of 331 maize lines was used as materials. Phenotypic data for plant height and ear height were collected under six individual environments and the combined environment, along with best linear unbiased prediction(BLUP) values. Genome-wide association studies(GWAS) were conducted using both the general linear model(GLM) and the mixed linear model(MLM) incorporating principal components and kinship matrix(PCA+K). The coefficients of variation for the two traits ranged from 10. 40% to 23. 00%. The broad-sense heritability estimates for plant height and ear height were 74. 6% and 84. 1%,respectively,with significant effects of genotype,environment,and genotype-by-environment interaction. A total of 324 significant SNPs were detected,among which 15 were co-localized for both traits. Within a 17. 8 kb window flanking the co-localized markers,257 candidate genes with functional annotations were identified,of which six were consistently detected across multiple environments and both models. A total of 324 SNPs loci significantly associated with plant height and ear height were identified,of which five were stably inherited. Furthermore,six candidate genes potentially involved in regulating these two traits were predicted.
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基本信息:
中图分类号:S513
引用信息:
[1]王蓓蓓,任姣姣,吴鹏昊.基于双单倍体群体的玉米株高和穗位高的全基因组关联分析[J].新疆农业大学学报().
基金信息:
国家重点研发计划课题项目(2024YFD1201302); 新疆维吾尔自治区自然科学基金重点项目(2022D01D34); 新疆玉米产业技术体系(XJARS-02-02)
2026-09-03
2026-09-03
2026-09-03