Journal
METABOLITES
Volume 13, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/metabo13050585
Keywords
metabolite profiling; secondary metabolites; metabolomics; biotic stress; Solanum cheesmaniae; Alternaria solani; early blight
Categories
Ask authors/readers for more resources
Untargeted metabolomics study of Solanum cheesmaniae, a moderately resistant wild tomato species, revealed altered metabolite profiles in response to infection by Alternaria solani. Leaf metabolites were significantly different between non-stressed and stressed plants, with the presence/absence and relative abundance of specific metabolites acting as distinguishing markers of infection. Annotation using databases identified numerous compounds belonging to various biosynthetic pathways, indicating their role in defense, infection prevention, signaling, plant growth, and plant homeostasis under stress conditions.
Untargeted metabolomics of moderately resistant wild tomato species Solanum cheesmaniae revealed an altered metabolite profile in plant leaves in response to Alternaria solani pathogen. Leaf metabolites were significantly differentiated in non-stressed versus stressed plants. The samples were discriminated not only by the presence/absence of specific metabolites as distinguished markers of infection, but also on the basis of their relative abundance as important concluding factors. Annotation of metabolite features using the Arabidopsis thaliana (KEGG) database revealed 3371 compounds with KEGG identifiers belonging to biosynthetic pathways including secondary metabolites, cofactors, steroids, brassinosteroids, terpernoids, and fatty acids. Annotation using the Solanum lycopersicum database in PLANTCYC PMN revealed significantly upregulated (541) and downregulated (485) features distributed in metabolite classes that appeared to play a crucial role in defense, infection prevention, signaling, plant growth, and plant homeostasis to survive under stress conditions. The orthogonal partial least squares discriminant analysis (OPLS-DA), comprising a significant fold change (>= 2.0) with VIP score (>= 1.0), showed 34 upregulated biomarker metabolites including 5-phosphoribosylamine, kaur-16-en-18-oic acid, pantothenate, and O-acetyl-L-homoserine, along with 41 downregulated biomarkers. Downregulated metabolite biomarkers were mapped with pathways specifically known for plant defense, suggesting their prominent role in pathogen resistance. These results hold promise for identifying key biomarker metabolites that contribute to disease resistive metabolic traits/biosynthetic routes. This approach can assist in mQTL development for the stress breeding program in tomato against pathogen interactions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available