<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Somani, Deepika</style></author><author><style face="normal" font="default" size="100%">Adhav, Ragini</style></author><author><style face="normal" font="default" size="100%">Prashant, Ramya</style></author><author><style face="normal" font="default" size="100%">Kadoo, Narendra Y.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transcriptomics analysis of propiconazole-treated Cochliobolus sativus reveals new putative azole targets in the plant pathogen</style></title><secondary-title><style face="normal" font="default" size="100%">Functional &amp; Integrative Genomics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bipolaris sorokiniana</style></keyword><keyword><style  face="normal" font="default" size="100%">Cochliobolus sativus</style></keyword><keyword><style  face="normal" font="default" size="100%">Fungicide resistance</style></keyword><keyword><style  face="normal" font="default" size="100%">Propiconazole</style></keyword><keyword><style  face="normal" font="default" size="100%">RNA-seq</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptomics analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">MAY</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">19</style></volume><pages><style face="normal" font="default" size="100%">453-465</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Cochliobolus sativus (anamorph: Bipolaris sorokiniana) is a filamentous fungus from the class Dothideomycetes. It is a pathogen of cereals including wheat and barley, and causes foliar spot blotch, root rot, black point on grains, head blight, leaf blight, and seedling blight diseases. Annual yields of these economically important cereals are severely reduced due to this pathogen attack. Evolution of fungicide resistant pathogen strains, availability of a limited number of potent antifungal compounds, and their efficacy are the acute issues in field management of phytopathogenic fungi. Propiconazole is a widely used azole fungicide to control the disease in fields. The known targets of azoles are the demethylase enzymes involved in ergosterol biosynthesis. Nonetheless, azoles have multiple modes of action, some of which have not been explored yet. Identifying the off-target effects of fungicides by dissecting gene expression profiles in response to them can provide insights into their modes of action and possible mechanisms of fungicide resistance. Moreover it can also reveal additional targets for development of new fungicides. Hence, we analyzed the global gene expression profile of C. sativus on exposure to sub-lethal doses of propiconazole in a time series. The gene expression patterns were confirmed using quantitative reverse transcriptase PCR (qRT-PCR). This study revealed overexpression of target genes from the sterol biosynthesis pathway supporting the reported mode of resistance against azoles. In addition, some new potential targets have also been identified, which could be explored to develop new fungicides and plant protection strategies.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;2.745&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pathak, Gauri M.</style></author><author><style face="normal" font="default" size="100%">Gurjar, Gayatri S.</style></author><author><style face="normal" font="default" size="100%">Kadoo, Narendra Y.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Insights of Bipolaris sorokinianasecretome-anin silicoapproach</style></title><secondary-title><style face="normal" font="default" size="100%">Biologia</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cochliobolus sativus</style></keyword><keyword><style  face="normal" font="default" size="100%">pathogenesis</style></keyword><keyword><style  face="normal" font="default" size="100%">Phytopathogenic fungi</style></keyword><keyword><style  face="normal" font="default" size="100%">Secretory proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Virulence</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">DEC</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">75</style></volume><pages><style face="normal" font="default" size="100%">2367-2381</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The plant pathogen,Bipolaris sorokiniana(teleomorph:Cochliobolus sativus), is of global concern as it attacks many economically important cereals and grasses. During the infection process, phytopathogenic fungi are known to secrete a variety of proteins collectively known as the secretome, analyzing which can help in deciphering the mechanism of fungal pathogenesis. In this study, we performedin silicosecretome analysis ofC. sativusstrain ND90Pr using established secretome prediction pipeline involving software tools such as SignalP, TargetP, TMHMM, big-PI Fungal Predictor, ProtComp, and WoLF PSORT. Using these software and other prediction criteria, we identified 196 probable secretory proteins from theB. sorokinianaproteome. Characterization of the predicted secretome revealed proteins that may have probable functions in degradation of the plant cell wall, lipids, proteins, and nucleic acids, as well as in pathogenesis and metabolism. Further, the PHI-base analysis identified 38 proteins having a possible role in pathogenicity and virulence. This study helped to predict the composition of the secretome ofB. sorokinianaand extrapolate its role in plant infection and pathogen survival. It may provide clues for developing new control strategies targeting the vital fungal secretory proteins.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;0.811&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yadav, Sagar</style></author><author><style face="normal" font="default" size="100%">Maiti, Saborni</style></author><author><style face="normal" font="default" size="100%">Mundhe, Swapnil</style></author><author><style face="normal" font="default" size="100%">Kadoo, Narendra</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Metabolomic profiling unravels the role of sphingolipid pathways in spot blotch resistance in wheat</style></title><secondary-title><style face="normal" font="default" size="100%">Acta Physiologiae Plantarum</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cochliobolus sativus</style></keyword><keyword><style  face="normal" font="default" size="100%">High-resolution mass spectrometry</style></keyword><keyword><style  face="normal" font="default" size="100%">LC-HRMS</style></keyword><keyword><style  face="normal" font="default" size="100%">Metabolite profiling</style></keyword><keyword><style  face="normal" font="default" size="100%">OPLS-DA</style></keyword><keyword><style  face="normal" font="default" size="100%">plant-pathogen interaction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">47</style></volume><pages><style face="normal" font="default" size="100%">67</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	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.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	2.8&lt;/p&gt;
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