02495nas a2200277   4500008004100000022001400041245012300055210006900178260010600247300001200353490000800365520149500373653001301868653001801881653001001899653001701909653001201926653001601938100002001954700002601974700002602000700002402026700002002050700002102070856012602091       2015                        eng d  a0031-942200aMetabolic profiling of chickpea-Fusarium interaction identifies differential modulation of disease resistance pathways0 aMetabolic profiling of chickpeaFusarium interaction identifies d  aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLANDbPERGAMON-ELSEVIER SCIENCE LTDcAUG  a120-1290 v1163 a<p>Chickpea is the third most widely grown legume in the world and mainly used as a vegetarian source of human dietary protein. Fusarium wilt, caused by Fusarium oxysporum f. sp. ciceri (Foc), is one of the major threats to global chickpea production. Host resistance is the best way to protect crops from diseases; however, in spite of using various approaches, the mechanism of Foc resistance in chickpea remains largely obscure. In the present study, non-targeted metabolic profiling at several time points of resistant and susceptible chickpea cultivars using high-resolution liquid chromatography-mass spectrometry was applied to better understand the mechanistic basis of wilt resistance or susceptibility. Multivariate analysis of the data (OPLS-DA) revealed discriminating metabolites in chickpea root tissue after Foc inoculation such as flavonoids, isoflavonoids, alkaloids, amino acids and sugars. Foc inoculated resistant plants had more flavonoids and isoflavonoids along with their malonyl conjugates. Many antifungal metabolites that were induced after Foc infection viz, aurantion-obstine beta-glucosides and querecitin were elevated in resistant cultivar. Overall, diverse genetic and biochemical mechanisms were operational in the resistant cultivar for Foc defense as compared to the susceptible plant. The resistant chickpea plants employed the above-mentioned metabolic pathways as potential defense strategy against Foc. (C) 2015 Elsevier Ltd. All rights reserved.</p>10aChickpea10aFusarium wilt10aLC-MS10aMetabolomics10aOPLS-DA10aPhytoalexin1 aKumar, Yashwant1 aDholakia, Bhushan, B.1 aPanigrahi, Priyabrata1 aKadoo, Narendra, Y.1 aGiri, Ashok, P.1 aGupta, Vidya, S.  uhttps://library.ncl.res.in/content/metabolic-profiling-chickpea-fusarium-interaction-identifies-differential-modulation-002422nas a2200253   4500008004100000022001400041245010400055210006900159260000800228300000700236490000700243520157300250653002501823653003801848653001201886653002501898653001201923653003101935100001701966700001901983700002002002700002002022856012602042       2025                        eng d  a0137-588100aMetabolomic profiling unravels the role of sphingolipid pathways in spot blotch resistance in wheat0 aMetabolomic profiling unravels the role of sphingolipid pathways  cJUN  a670 v473 a<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 ``metabolomic phenotypes''. 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>
10aCochliobolus sativus10aHigh-resolution mass spectrometry10aLC-HRMS10aMetabolite profiling10aOPLS-DA10aplant-pathogen interaction1 aYadav, Sagar1 aMaiti, Saborni1 aMundhe, Swapnil1 aKadoo, Narendra  uhttps://library.ncl.res.in/content/metabolomic-profiling-unravels-role-sphingolipid-pathways-spot-blotch-resistance-wheat