Makhumbila Penny, Rauwane Molemi E, Muedi Hangwani H, Madala Ntakadzeni E, Figlan Sandiswa
Department of Agriculture and Animal Health, School of Agriculture and Life Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Roodeport, South Africa.
Department of Botany, Nelson Mandela University, Port Elizabeth, South Africa.
Front Genet. 2023 Mar 16;14:1141201. doi: 10.3389/fgene.2023.1141201. eCollection 2023.
The causal agent of rust, is a major constraint for common bean () production. This pathogen causes substantial yield losses in many common bean production areas worldwide. is widely distributed and although there have been numerous breakthroughs in breeding for resistance, its ability to mutate and evolve still poses a major threat to common bean production. An understanding of plant phytochemical properties can aid in accelerating breeding for rust resistance. In this study, metabolome profiles of two common bean genotypes Teebus-RR-1 (resistant) and Golden Gate Wax (susceptible) were investigated for their response to races (1 and 3) at 14- and 21-days post-infection (dpi) using liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-qTOF-MS). Non-targeted data analysis revealed 71 known metabolites that were putatively annotated, and a total of 33 were statistically significant. Key metabolites including flavonoids, terpenoids, alkaloids and lipids were found to be incited by rust infections in both genotypes. Resistant genotype as compared to the susceptible genotype differentially enriched metabolites including aconifine, D-sucrose, galangin, rutarin and others as a defence mechanism against the rust pathogen. The results suggest that timely response to pathogen attack by signalling the production of specific metabolites can be used as a strategy to understand plant defence. This is the first study to illustrate the utilization of metabolomics to understand the interaction of common bean with rust.
锈病的病原体是菜豆()生产的主要限制因素。这种病原菌在全球许多菜豆产区造成了巨大的产量损失。它分布广泛,尽管在抗病育种方面有许多突破,但其变异和进化的能力仍然对菜豆生产构成重大威胁。了解植物的植物化学特性有助于加速抗锈病育种。在本研究中,使用液相色谱-四极杆飞行时间串联质谱(LC-qTOF-MS),研究了两种菜豆基因型Teebus-RR-1(抗病)和金门蜡(感病)在感染后14天和21天对锈病小种(1和3)的代谢组谱。非靶向数据分析揭示了71种推定注释的已知代谢物,其中共有33种具有统计学意义。发现包括黄酮类、萜类、生物碱和脂质在内的关键代谢物在两种基因型中均因锈病感染而被激发。与感病基因型相比,抗病基因型差异富集了包括乌头碱、D-蔗糖、高良姜素、芸香苷等在内的代谢物,作为对锈病病原体的防御机制。结果表明,通过信号传导特定代谢物的产生来及时应对病原体攻击,可以作为理解植物防御的一种策略。这是第一项说明利用代谢组学来理解菜豆与锈病相互作用的研究。