Riella Venancio, Lado Bettina, Condón Federico, Pritsch Clara, Quincke Martín, Kavanová Monika, García Richard, Pereira Fernando, Perez Noelia, Castro Ariel, Gutiérrez Lucía, Germán Silvia, Silva Paula
Instituto Nacional de Investigación Agropecuaria (INIA), Sistema Agrícola-Ganadero, Estación Experimental La Estanzuela, Ruta 50, km 11, 70006, Colonia, Uruguay.
Facultad de Agronomía, Universidad de la República, Garzón 780, 12900, Montevideo, Uruguay.
Theor Appl Genet. 2025 Jun 11;138(7):145. doi: 10.1007/s00122-025-04937-5.
Eight QTL conferring additive APR to YR were identified in wheat germplasm using GWAS. The high accuracy of GP models supports the feasibility of accelerating breeding for YR resistance. Wheat yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), is among the most devastating diseases affecting wheat worldwide. Since 2000, YR has expanded into regions where it was previously not considered an economically important disease. The deployment of YR-resistant cultivars remains the most effective and sustainable control strategy. We assembled a diverse mapping panel (i) identify genomic regions associated with YR resistance using genome-wide association studies (GWAS), and (ii) assess the prediction accuracy of genomic prediction (GP) models for YR resistance. The panel of 366 wheat lines, including germplasm from INIA-Uruguay and other breeding programs, was phenotyped under artificial field inoculations in 2021 and 2022, and at the seedling stage using the same two Pst races used for field inoculations. GWAS-identified eight genomic regions associated with field resistance, located on chromosomes 1B, 2B (three regions), 5B (two regions), 5D, 7B, explaining 4.9-21.2% of the phenotypic variability. None of these regions were identified with seedling resistance to race Triticale2015b, the most widely virulent race, indicating that they conferred adult-plant resistance. Moreover, these regions did not correspond to previously reported Yr genes. Two QTL on 2D and 3A were identified at the seedling stage to race Triticale2015a but did not contribute to field resistance. GP models achieved an average prediction ability of 0.64, highlighting their potential for accelerating the selection of resistant lines. These findings provide valuable insights into the genetic basis of YR and offer robust tools for enhancing YR resistance breeding efforts in wheat.
利用全基因组关联研究(GWAS)在小麦种质中鉴定出8个赋予成株期抗条锈病(APR)的数量性状基因座(QTL)。基因组预测(GP)模型的高精度支持了加速抗条锈病育种的可行性。由条形柄锈菌小麦专化型(Pst)引起的小麦条锈病(YR)是影响全球小麦的最具毁灭性的病害之一。自2000年以来,条锈病已扩展到以前不被认为是经济上重要病害的地区。部署抗条锈病品种仍然是最有效和可持续的防治策略。我们组建了一个多样化的作图群体:(i)利用全基因组关联研究(GWAS)鉴定与抗条锈病相关的基因组区域,(ii)评估抗条锈病基因组预测(GP)模型的预测准确性。包括来自乌拉圭国家农业研究机构(INIA)和其他育种项目的种质在内的366个小麦品系组成的群体,于2021年和2022年在人工田间接种条件下进行了表型鉴定,并在苗期使用与田间接种相同的两个Pst小种进行鉴定。GWAS鉴定出8个与田间抗性相关的基因组区域,位于1B、2B(3个区域)、5B(2个区域)、5D、7B染色体上,解释了4.9%-21.2%的表型变异。这些区域中没有一个被鉴定出对最广泛流行的小种黑小麦2015b具有苗期抗性,这表明它们赋予成株抗性。此外,这些区域与先前报道的Yr基因不对应。在苗期鉴定出2D和3A染色体上的两个QTL对小种黑小麦2015a有抗性,但对田间抗性没有贡献。GP模型的平均预测能力达到0.64,突出了它们在加速抗性品系选择方面的潜力。这些发现为条锈病的遗传基础提供了有价值的见解,并为加强小麦抗条锈病育种工作提供了有力工具。