Combined Transcriptomic and Metabolomic Analysis Reveals Insights into Resistance of Arabidopsis bam3 Mutant against the Phytopathogenic Fungus Fusarium oxysporum .
Eleni KalogeropoulouKonstantinos A AliferisSotirios E TjamosIrene VloutoglouEpaminondas J PaplomatasPublished in: Plants (Basel, Switzerland) (2022)
The wilt-inducing strains of Fusarium oxysporum are responsible for severe damage to many economically important plant species. The most cost-effective and environmentally safe method for the management of Fusarium wilt is the use of resistant cultivars when they are available. In the present study, the Arabidopsis genotype with disruptions in the β-amylase 3 ( BAM3 ) gene, which encodes the major hydrolytic enzyme that degrades starch to maltose, had significantly lower susceptibility to Fusarium oxysporum f. sp. raphani ( For ) compared to wild-type (wt) plants. It showed the lowest disease severity and contained reduced quantities of fungal DNA in the plant vascular tissues when analyzed with real-time PCR. Through metabolomic analysis using gas chromatography (GC)-mass spectrometry (MS) and gene-expression analysis by reverse-transcription quantitative PCR (RT-qPCR), we observed that defense responses of Arabidopsis bam3 mutants are associated with starch-degradation enzymes, the corresponding modification of the carbohydrate balance, and alterations in sugar (glucose, sucrose, trehalose, and myo-inositol) and auxin metabolism.
Keyphrases
- gas chromatography
- mass spectrometry
- wild type
- transcription factor
- genome wide identification
- real time pcr
- cell wall
- liquid chromatography
- tandem mass spectrometry
- high resolution mass spectrometry
- high resolution
- gas chromatography mass spectrometry
- capillary electrophoresis
- escherichia coli
- genome wide
- plant growth
- high performance liquid chromatography
- copy number
- gene expression
- multiple sclerosis
- blood glucose
- circulating tumor
- solid phase extraction
- ms ms
- adipose tissue
- metabolic syndrome
- rna seq
- cell free
- genome wide analysis
- insulin resistance
- blood pressure