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Unveiling alfalfa root rot resistance genes through an integrative GWAS and transcriptome study

文献类型： 外文期刊

作者： He, Fei 1 ; Xu, Ming 1 ; Liu, Hao 1 ; Xu, Yanchao 1 ; Long, Ruicai 1 ; Kang, Junmei 1 ; Yang, Qingchuan 1 ; Chen, Lin 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China

关键词： Alfalfa; GWAS; RNA-seq; Root rot

期刊名称：BMC PLANT BIOLOGY （ 影响因子：4.8； 五年影响因子：5.4 ）

ISSN： 1471-2229

年卷期： 2025 年 25 卷 1 期

页码：

收录情况： SCI

摘要： BackgroundRoot rot is a major disease affecting alfalfa (Medicago sativa L.), causing significant yield losses and economic damage. The primary pathogens include Fusarium spp., Rhizoctonia spp., Pythium spp., and Phytophthora spp., with Fusarium being particularly severe. Breeding disease-resistant varieties is crucial for mitigating these losses.ResultsUnder conditions of inoculation with Fusarium oxysporum, we conducted a statistical analysis of six phenotypic traits in alfalfa. Significant phenotypic variation was observed among different alfalfa varieties. Correlation analysis revealed significant relationships among traits such as relative yield, relative plant height (PH), and relative root number (NR), indicating potential synergistic roles of these traits in disease resistance. Through GWAS analysis, we identified 41 significant single nucleotide polymorphisms (SNP) associated with root rot resistance across eight chromosomes. The transcriptome analysis identified multiple differentially expressed genes (DEGs) associated with root rot stress, including transcription factors such as WRKY, NAC, AP2, GRAS, HLH, B3, MYB, and ARF. By integrating GWAS and transcriptome data, we identified four key DEGs significantly associated with root rot resistance, offering valuable insights for developing disease-resistant alfalfa varieties and enhancing overall crop resilience.ConclusionOur study identified significant phenotypic variation and key correlations among traits under root rot stress in alfalfa. We pinpointed 41 significant SNPs associated with root rot resistance across eight chromosomes and identified several key DEGs, including WRKY, NAC, and MYB transcription factors. The integration of GWAS and RNA-Seq data identified four key DEGs associated with root rot resistance, providing valuable insights for breeding disease-resistant alfalfa varieties and enhancing crop resilience.

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