Post-translational modifications in regulation of pathogen surveillance and signaling in plants: The inside- (and perturbations from) outside story.

In its lifetime a plant is exposed to pathogens of diverse types. Although methods of surveillance are broadly pathogen-individualized, immune signaling ultimately connect to common core networks maintained by key protein hubs. Defense elicitations modulate these hubs to re-allocate energy from central metabolic pathway into processes that execute immunity. Because unregulated defenses severely decrease growth and productivity of the host, signaling regulators within the networks function to achieve cellular equilibrium once the threat is minimized. Protein modifications by post-translational processes regulate the molecular switches and crosstalks between interconnected pathways spatially and temporally. Covalent modification of host targets connected to hubs are strategies used by most virulent effectors and result in re-routing signals to suppress host defenses. Resistance is a result of activation of specialized classes of receptors that short-circuit effector activities by co-localizing via post-translational modifications (PTMs) with effector targets. Despite advancement in proteome methodologies, our understanding of how PTMs regulate plant defenses remains elusive. This review presents protein-modifications as forefront regulators of plant innate immunity.

Understanding Darjeeling tea flavour on a molecular basis.

Darjeeling teas are the highest grown teas in the world and preferred for its flavour, aroma and quality. Apart from the genetic makeup of the plant, earlier reports suggest that insect infestation, particularly jassids and thrips triggers the aroma and flavour formation in Darjeeling tea. The present work encompasses the identification of the genes/transcriptomes responsible for the typical flavour of Darjeeling tea, besides understanding the role of jassids and thrips in particular, in producing the best cup character and quality. The quantitative real time PCR analysis was based on a suppression subtractive hybridisation forward library of B157 (tea clone infested with thrips), providing us transcripts related to aroma and flavour formation. We observed the expression of genes like leucine zipper, ntd, nced, geraniol synthase, raffinose synthase, trehalose synthase, amylase, farnesyl transferase, catalase, methyl transferase, linalool synthase, peroxidases, elicitor responsive proteins, linamarase, nerolidol linalool synthase 2, 12-oxophytodienoate reductase, glucosidase, MYB transcription factor, and alcohol dehydrogenase, highly regulated due to insect infestation, manufacturing stresses and mechanical injury. The first report on gene expression dynamics in thrips infested Darjeeling tea leaves can be extrapolated with increase in volatiles which is responsible for enhancing the quality of Darjeeling tea, specially the flavour and aroma of the infusion. We hope to model these responses in order to understand the molecular changes that occur during Darjeeling tea flavour formation.

Identification of drought tolerant progenies in tea by gene expression analysis.

Understanding the genes that govern tea plant (Camellia sinensis) architecture and response to drought stress is urgently needed to enhance breeding in tea with improved water use efficiency. Field drought is a slow mechanism and the plants go through an adaptive process in contrast to the drastic changes of rapid dehydration in case of controlled experiments. We identified a set of drought responsive genes under controlled condition using SSH, and validated the identified genes and their pattern of expression under field drought condition. The study was at three stages of water deficit stress viz., before wilting, wilting and recovery, which revealed a set of genes with higher expression at before wilting stage including dehydrin, abscissic acid ripening protein, glutathione peroxidase, cinnamoyl CoA reductase, calmodulin binding protein. The higher expression of these genes was related with increase tolerance character of DT/TS-463 before wilting, these five tolerant progenies could withstand drought stress and thus are candidates for breeding. We observed that physiological parameter like water use efficiency formed a close group with genes such as calmodulin related, DRM3, hexose transporter, hydrogen peroxide induced protein, ACC oxidase, lipase, ethylene responsive transcription factor and diaminopimelate decarboxylase, during wilting point. Our data provides valuable information for the gene components and the dynamics of gene expression in second and third leaf against drought stress in tea, which could be regarded as candidate targets potentially associated with drought tolerance. We propose that the identified five tolerant progenies on the basis of their drought tolerance can thus be utilised for future breeding programmes.

A comprehensive Vis-NIRS equation for rapid quantification of seed glucosinolate content and composition across diverse Brassica oilseed chemotypes.

The globally cultivated Brassica crops contain high deliverable concentrations of health-promoting glucosinolates. Development of a Visible-Near InfraRed Spectroscopy (Vis-NIRS) calibration to profile different glucosinolate components from 641 diverse Brassica juncea chemotypes was attempted in this study. Principal component analysis of HPLC-determined glucosinolates established the distinctiveness of four B. juncea populations used. Subsequently, modified partial least square regression based population-specific and combined Vis-NIRS models were developed, wherein the combined model exhibited higher coefficient of determination (R2; 0.81-0.97) for eight glucosinolates and higher ratio of prediction determination (RPD; 2.42-5.35) for seven glucosinolates in B. juncea populations. Furthermore, range error ratio (RER > 4) for twelve and RER > 10 for eight glucosinolates make the combined model acceptable for screening and quality control. The model also provided excellent prediction for aliphatic glucosinolates in four oilseed Brassica species. Overall, our work highlights the potential of Vis-NIR spectroscopy in estimating glucosinolate content in the economically important Brassica oilseeds.

Molecular analysis of drought tolerance in tea by cDNA-AFLP based transcript profiling.

A cDNA-AFLP approach was used to identify transcript and/or genes specifically expressed in response to drought in tea. Drought was artificially induced and whole genome transcript profiling was done at three different stages-6 days before wilting, 3 days before wilting and at wilting stage of both tolerant and susceptible cultivars, and genetic differences was thus visualized as polymorphisms in the transcriptome. The cDNA-AFLP technique allowed genes and transcripts to be identified in the tolerant genotype (TV-23) whose expression is responsive to drought stress. The cluster analysis revealed two types of clustering-type I separated the tolerant and susceptible cultivar, whereas type II separated the time point of sample and this may be grouped as early and late responsive transcripts. 108 transcript derived fragments were identified as differentially expressed in tolerant genotypes of which 89 sequences could be obtained. Fifty-nine of them showed homology in the public databases. Functional ontology showed genes related to carbohydrate metabolism, response to stress, protein modification process and translation. Cluster I includes five fragments and cluster II includes 25 fragments. Other genes strongly expressed in response to drought in tolerant genotype would help us in identifying and determining the genetic basis of mechanisms involved in conferring drought tolerance in tea.