| DB ID | MyCo_4792 |
| Title | Metabolomics of early blight (Alternaria solani) susceptible tomato (Solanum lycopersicum) unfolds key biomarker metabolites and involved metabolic pathways |
| Year | 2023 |
| PMID | 38030710 |
| Fungal Diseases involved | Necrotrophic foliage early blight disease |
| Associated Medical Condition | None |
| Genus | Alternaria |
| Species | solani |
| Organism | Alternaria solani |
| Ethical Statement | None |
| Site of Infection | None |
| Opportunistic invasive | None |
| Sample type | Plant extracts |
| Sample source | Plant extracts |
| Host Group | Plant |
| Host Common name | Tomato |
| Host Scientific name | Solanum lycopersicum |
| Biomarker Name | Ajmaline |
| Biomarker Full Name | Ajmaline |
| Biomarker Type | Diagnostic |
| Biomolecule | Metabolite |
| Geographical Location | India |
| Cohort | A comparative metabolite profiling of A. solani pathogen-challenged (KATR) and non challenged (KANTR) tomato leaves was made to understand intrinsic metabolic changes. The disease incidence score of 67.6% indicated severity of the invasion in susceptible plants after 3 days of pathogen inoculation, following which the leaf tissues were extracted and subjected to data acquisition. using LC–ESI–MS/MS spectra in negative ion mode that allowed better sensitivity in terms of peak intensity and ¬ numbers 23. |
| Cohort No. | None |
| Age Group | None |
| P Value | None |
| Sensitivity | None |
| Specificity | None |
| Positive Predictive Value | None |
| MIC | None |
| Fold Change | None |
| Pathway | None |
| Disease Introduction Mechanism | Pathogenic interactions in plants initiate cellular metabolic reprogramming and by doing so, host plant counteracts with the damage caused due to the progression of ¬ infection. In pathogenic invasion, a cascade of complex but integrated metabolic and molecular networks are triggered, leading to the real time activation of plant responses to influence sensing and cross talk between the interacting ¬ partners. Progression of the disease activates different metabolic pathways in plants for the biosynthesis and accumulation of primary and secondary metabolites that either help them in instigating their survival ability by maintaining minimal growth or reducing pathogen invasion by organizing immune responses to combat the ¬ disease. The biosynthesis and metabolism of chemically diversified plant-derived metabolites entwined with their diverse biological functions are typically linked with plant health, defense and survival in the ¬ environment. Therefore, identifying chemical diversity, mapping the pathways with biological functions and understanding integrated responses at metabolic level in pathogen challenged plants can help prediction of the outcome of such interactions in system biology perspectives. Such studies are important to pin point biological properties of multiscale network connections and significant biomarker metabolite signatures in plant pathogenic ¬ interactions. Throughout the world, tomato is the second most cultivated crop globally with the production of 189 million tons from 5 mha of land as per FAOSTAT ¬ 2022. Tomato, as a major horticultural crop for nutrition and human health is considered as model to decipher plant responses against abiotic and biotic stress ¬ challenges. Worldwide, tomato is highly prone to > 200 diseases, probably because of the low genetic diversity and intensive selection during domestication and ¬ evolution. Early blight disease caused by A. solani is a devastating necrotrophic disease of tomato causing extensive damage to foliar ¬ tissues, due to which the crop usually suffers > 50% loses under field ¬ conditions. Pathogenic interactions with susceptible plants impair growth and development by downsizing primary metabolism, even in the conditions where the pathogen could not cause disease or death of the ¬ plants. Aside, consequent activation of bioenergetics in secondary metabolism in stressed plants also becomes high burden at the cost of growth and ¬ productivity. Critical perturbations in the metabolism of susceptible plants post pathogen invasion drive key outcomes of the attempted ¬ infection. This could be observed in substantial metabolic reprogramming in key biosynthetic pathways that allow plants to synthesize and accumulate diverse metabolic capabilities to overcome ¬ diseases. Hence, uncovering metabolic responses in pathogen-challenged and non-challenged susceptible plants could reveal key changes in the pathways of defense, signaling, hormones and primary and secondary metabolites that determine pathogen ¬ progression. It, therefore, became imperative to explore global metabolomic profiles of plant tissues to explore cellular metabolic reprogramming for ascertaining chemical readouts of plant ¬ defense. |
| Technique | Liquid chromatography |
| Analysis Method | Liquid Chromatography-Mass Spectrometry (LC–MS) based metabolomics |
| ELISA kits | None |
| Assay Data | None |
| Validation Techniques used | Liquid Chromatography-Mass Spectrometry (LC–MS) based metabolomics |
| Up Regulation Down Regulation | Down regulated |
| Sequence Data | None |
| External Link | None |
