@article {48212,
	title = {Ultra-high performance liquid chromatography Q-Orbitrap MS/MS-based profiling and quantification of limonoids in Meliaceae plants},
	journal = {Analytical and Bioanalytical Chemistry},
	volume = {414},
	year = {2022},
	month = {AUG},
	pages = {6093-6106},
	type = {Article},
	abstract = {<p>
	Meliaceae plants have been extensively used in agriculture, folklore, and traditional medicine. They are the major storehouses for structurally diverse limonoids (meliacins) possessing various bioactivities like antifeedant, insecticidal, antimicrobial, etc. However accurate detection of these tetranortriterpenes from the vast pool of metabolites in plant tissue extracts or biological sample is a crucial challenge. Though the mass spectrum (MS) provides the molecular mass and the corresponding elemental composition, it cannot be relied precisely. The exact identification of a specific metabolite demands the MS/MS spectrum containing the signature product ions. In the present study, we have developed the UHPLC Q-Orbitrap-based method for identification, quantification, and characterization of limonoids in different plant tissue extracts requiring minimum plant material. Using this method, we carried out the limonoid profiling in different tissue extracts of sixteen Meliaceae plants and the identification of limonoids was performed by comparing the retention time (RT), ESI-(+)-MS spectrum, and HCD-MS/MS of the purified fifteen limonoids used as reference standards. Our results revealed that early intermediates of the limonoid biosynthetic pathway such as azadiradione, epoxyazadiradione, and gedunin occurred more commonly in Meliaceae plants. The MS/MS spectrum library of the fifteen limonoids generated in this study can be utilized for identification of these limonoids in other plant tissue extracts, botanical fertilizers, agrochemical formulations, and bio pesticides.</p>
},
	keywords = {LC-HRMS, LC-MS/MS, Limonoids, Meliaceae, Natural product, Quantification},
	issn = {1618-2642},
	doi = {10.1007/s00216-022-04169-2},
	author = {Mulani, Fayaj A. and Nandikol, Sharvani S. and Kajjihundi, Jagadeesh S. and Pathappa, Niranjana and Puttappa, Sharanappa and Thulasiram, V. Hirekodathakallu}
}
@article {49705,
	title = {Metabolomic profiling unravels the role of sphingolipid pathways in spot blotch resistance in wheat},
	journal = {Acta Physiologiae Plantarum},
	volume = {47},
	year = {2025},
	month = {JUN},
	pages = {67},
	type = {Article},
	abstract = {<p>
	Spot blotch, caused by the soil- and air-borne fungal pathogen Bipolaris sorokiniana, is a major threat to wheat production. The disease is reaching epidemic proportions in wheat-growing areas, particularly in South Asia, South America, Africa, and Australia. In India, over 25 million hectares of wheat-growing area is threatened by this disease. A systematic study of metabolites can provide insights into the molecular basis of this disease. In the present study, we evaluated the impact of B. sorokiniana inoculation on two wheat varieties, Chirya3 (resistant to spot blotch) and DDK1025 (susceptible to spot blotch). We performed time-course non-targeted metabolite profiling of the pathogen-inoculated and mock-inoculated plants using liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS). Multivariate analysis was performed to construct a comprehensive statistical workflow, which led to the defined {\textquoteleft}{\textquoteleft}metabolomic phenotypes{\textquoteright}{\textquoteright}. Modeling by Orthogonal Projection to Latent Structures-Discriminant Analysis (OPLS-DA) revealed significant metabolites in responses of the resistant and susceptible varieties to pathogen inoculation. A total of 699 metabolites displayed significant variations during the progression of infection. B. sorokiniana-inoculated Chirya3 exhibited high levels of some metabolites, such as sphingolipids, cysteine, phenylalanine, shikimates, etc. The study revealed that sphingolipid pathways are critical in resistance mechanisms contributing to enhanced lignification and disease resistance in wheat.</p>
},
	keywords = {Cochliobolus sativus, High-resolution mass spectrometry, LC-HRMS, Metabolite profiling, OPLS-DA, plant-pathogen interaction},
	issn = {0137-5881},
	doi = {10.1007/s11738-025-03813-5},
	author = {Yadav, Sagar and Maiti, Saborni and Mundhe, Swapnil and Kadoo, Narendra}
}
