中国农业科学 ›› 2025, Vol. 58 ›› Issue (18): 3583-3597.doi: 10.3864/j.issn.0578-1752.2025.18.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

冬小麦穗部性状GWAS分析及优异单倍型筛选

李明1(), 程宇坤1,2, 白斌3, 雷斌4, 耿洪伟1,2   

  1. 1 新疆农业大学农学院/新疆农业大学优质专用麦类作物工程技术研究中心,乌鲁木齐 830052
    2 丝绸之路经济带作物生物育种国际联合实验室,乌鲁木齐 830052
    3 甘肃省农业科学院小麦研究所,兰州 730070
    4 新疆维吾尔自治区农业科学院,乌鲁木齐 830091
  • 收稿日期:2025-03-12 接受日期:2025-05-06 出版日期:2025-09-18 发布日期:2025-09-18
  • 通信作者:
    耿洪伟,E-mail:hw-geng@163.com
  • 联系方式: 李明,E-mail:1304712256@qq.com。
  • 基金资助:
    新疆小麦产业技术体系(XJARS-01-02); 新疆维吾尔自治区青年科技拔尖人才专项(2022TSYCCX0079); 新疆维吾尔自治区自然科学基金杰出青年科学基金(2022D01E46)

Genome-Wide Association Study on Spike Architecture Traits and Elite Haplotype Mining in Winter Wheat

LI Ming1(), CHENG YuKun1,2, BAI Bin3, LEI Bin4, GENG HongWei1,2   

  1. 1 College of Agronomy, Xinjiang Agricultural University/Engineering Technology Research Center of High-Quality Special Wheat Crops, Xinjiang Agricultural University, Urumqi 830052
    2 International Joint Laboratory of Crop Biology Breeding for the Silk Road Economic Belt, Urumqi 830052
    3 Institute of Wheat Research, Gansu Academy of Agricultural Sciences, Lanzhou 730070
    4 Xinjiang Academy of Agricultural Sciences, Urumqi 830091
  • Received:2025-03-12 Accepted:2025-05-06 Published:2025-09-18 Online:2025-09-18

摘要:

【目的】穗部性状是影响小麦产量的重要因素,通过对小麦穗部性状进行全基因组关联分析,旨在发掘控制小麦穗部性状显著位点,为小麦穗部性状的遗传改良研究提供理论参考。【方法】以261份冬小麦品种(系)为材料,测定小麦穗部表型性状,结合小麦90K SNP芯片,采用固定随机循环概率模型(Farm CPU)进行穗部性状全基因组关联分析,并对筛选出稳定且显著的位点进行单倍型分析。【结果】在3个环境下,11个穗部性状均表现出广泛的表型变异,变异系数为3.63—64.29,各穗部性状遗传力为0.42—0.84,且基因型、环境、基因型×环境间均呈现出极显著差异。通过全基因组关联分析,共检测到171个与11个性状显著关联的位点(P<0.001),其中,20个关联位点在2个及以上的环境中被检测到,分别与穗长(3个)、穗下节长(7个)、不育小穗数(1个)、可育小穗数(2个)、总小穗数(2个)、穗粒数(1个)、穗粒重(2个)和千粒重(2个)等8个穗部性状关联,表型贡献率为0.95%—18.54%。在7B染色体上检测到1个与穗粒重和穗粒数显著关联的多效位点Ra_c10072_677,贡献率为2.62%—6.16%。筛选在2个以上环境条件下均能检测到与穗下节长显著关联的wsnp_Ex_rep_c69639_68590556(可解释遗传变异的5.94%)标记,进行单倍型分析。共鉴定出3种单倍型Hap1、Hap2和Hap3,分布频率分别为77.40%、13.70%和8.80%。结合表型分析,含单倍型Hap3(30.58 cm)的261份冬小麦品种(系)穗下节长平均值显著高于(P<0.001)含Hap1(28.67 cm)和Hap2(27.49 cm)品种(系)的穗下节长。冬小麦单倍型分布频率呈显著差异,其中,在北部冬麦区Hap1单倍型的品种(系)占比较大,在黄淮冬麦区Hap2单倍型的品种(系)占比较大,而Hap3单倍型的品种(系)在所有冬麦区无较高出现频率。对3个环境下检测到稳定遗传的显著关联位点进行候选基因挖掘,筛选到4个与小麦穗部相关的候选基因。这些基因与MYB转录因子和F-box结构域等有关,可作为影响穗部性状的重要候选基因。【结论】小麦穗部性状在不同基因型间差异显著,在2个及以上环境中检测到20个稳定存在的关联位点,在7B染色体上鉴定到与穗下节长显著相关的3个不同单倍型,并筛选出4个与穗部性状相关的候选基因。

关键词: 小麦, 穗部性状, GWAS, SNP标记, 单倍型

Abstract:

【Objective】Spike-related traits constitute a key factor influencing wheat yield. This study conducted a genome-wide association study (GWAS) on wheat spike-related traits to identify significant loci controlling these traits, thereby providing theoretical references for research on genetic improvement of wheat spike-related traits. 【Method】Using a panel of 261 winter wheat varieties (lines), we measured spike-related phenotypic traits and performed genome-wide association studies (GWAS) with the wheat 90K SNP array, employing the Fixed and Random Model Circulating Probability Unification (Farm CPU) model. Stable and significant loci identified through this analysis were further subjected to haplotype analysis. 【Result】Under three environmental conditions, all 11 panicle-related traits exhibited extensive phenotypic variation, with coefficients of variation (CV) ranging from 3.63 to 64.29. The heritability estimates for these traits varied between 0.42 and 0.84. Highly significant differences (P<0.001) were observed among genotype, environment, and genotype × environment interactions. Genome-wide association study (GWAS) identified 171 loci significantly associated with the 11 traits (P<0.001), including 20 pleiotropic loci detected in two or more environments. These loci were associated with eight panicle traits: panicle length (3 loci), peduncle length (7 loci), sterile spikelet number (1 locus), fertile spikelet number (2 loci), total spikelet number (2 loci), grains per panicle (1 locus), grain weight per panicle (2 loci), and thousand-grain weight (2 loci). The phenotypic contribution rates of these loci ranged from 0.95% to 18.54%. A pleiotropic locus (Ra_c10072_677) significantly associated with both grain weight per panicle and grains per panicle was identified on chromosome 7B, demonstrating phenotypic contribution rates ranging from 2.62% to 6.16%. The marker wsnp_Ex_rep_c69639_68590556, which showed consistent association with peduncle length across two or more environmental conditions (explaining 5.94% of the genetic variation), was selected for haplotype analysis. Three haplotypes (Hap1, Hap2, and Hap3) were characterized, with distribution frequencies of 77.40%, 13.70%, and 8.80%, respectively. Phenotypic analysis revealed that 261 winter wheat cultivars (lines) carrying haplotype Hap3 (30.58 cm) exhibited significantly greater peduncle length (P<0.001) compared to those with Hap1 (28.67 cm) and Hap2 (27.49 cm). The haplotype distribution frequencies showed significant geographic divergence: Hap1 predominated in the Northern Winter Wheat Region, Hap2 was more prevalent in the Huang-Huai Winter Wheat Region, while Hap3 displayed no substantial frequency (>5%) across all winter wheat regions. For stably detected loci across three environments, candidate gene mining identified four genes associated with panicle development. These genes, functionally annotated as encoding MYB transcription factors and F-box domain-containing proteins, represent key candidates influencing panicle architecture. 【Conclusion】The spike traits of wheat exhibited significant variation across different genotypes. A total of twenty stably associated loci were identified across two or more environments. Three distinct haplotypes significantly associated with the peduncle length were detected on chromosome 7B, and four candidate genes potentially related to spike traits were screened out.

Key words: wheat, spike architecture traits, genome-wide association study (GWAS), SNP markers, haplotype blocks