School of Science, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia.
Advanced Agriecological Research Sdn. Bhd., 11 Jalan Teknologi 3/6, Taman Sains Selangor 1, Kota Damansara, 47810, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Sci Rep. 2024 Mar 4;14(1):5330. doi: 10.1038/s41598-024-56129-8.
This study compared the pathogenicity of monokaryotic (monokaryon) and dikaryotic (dikaryon) mycelia of the oil palm pathogen Ganoderma boninense via metabolomics approach. Ethyl acetate crude extracts of monokaryon and dikaryon were analysed by liquid chromatography quadrupole/time-of-flight-mass spectrometry (LC-Q/TOF-MS) coupled with multivariate data analysis using MetaboAnalyst. The mummichog algorithm was also used to identify the functional activities of monokaryon and dikaryon without a priori identification of all their secondary metabolites. Results revealed that monokaryon produced lesser fungal metabolites than dikaryon, suggesting that monokaryon had a lower possibility of inducing plant infection. These findings were further supported by the identified functional activities. Monokaryon exhibits tyrosine, phenylalanine, and tryptophan metabolism, which are important for fungal growth and development and to produce toxin precursors. In contrast, dikaryon exhibits the metabolism of cysteine and methionine, arginine and proline, and phenylalanine, which are important for fungal growth, development, virulence, and pathogenicity. As such, monokaryon is rendered non-pathogenic as it produces growth metabolites and toxin precursors, whereas dikaryon is pathogenic as it produces metabolites that are involved in fungal growth and pathogenicity. The LC-MS-based metabolomics approach contributes significantly to our understanding of the pathogenesis of Ganoderma boninense, which is essential for disease management in oil palm plantations.
本研究通过代谢组学方法比较了油棕病原菌胶孢炭疽菌单核(monokaryon)和双核(dikaryon)菌丝的致病性。通过液质联用(LC-Q/TOF-MS)结合 MetaboAnalyst 的多变量数据分析,对单核和双核的乙酸乙酯粗提物进行了分析。mummichog 算法也用于识别单核和双核的功能活性,而无需先验识别其所有次生代谢物。结果表明,单核产生的真菌代谢物少于双核,这表明单核诱导植物感染的可能性较低。这些发现得到了已鉴定功能活性的进一步支持。单核表现出酪氨酸、苯丙氨酸和色氨酸代谢,这对真菌的生长和发育以及产生毒素前体很重要。相比之下,双核表现出半胱氨酸和蛋氨酸、精氨酸和脯氨酸以及苯丙氨酸的代谢,这对真菌的生长、发育、毒力和致病性很重要。因此,单核由于产生生长代谢物和毒素前体而变得非致病性,而双核由于产生与真菌生长和致病性相关的代谢物而具有致病性。基于 LC-MS 的代谢组学方法极大地促进了我们对胶孢炭疽菌发病机制的理解,这对于油棕种植园的疾病管理至关重要。