Carboxyhemoglobin in Cardiac Surgery Patients and Its Association with Risk Factors and Biomarkers of Hemolysis.

BACKGROUND: Cardiac surgery with cardiopulmonary bypass (CPB) is associated with hemolysis. Yet, there is no easily available and frequently measured marker to monitor this hemolysis. However, carboxyhemoglobin (CO-Hb), formed by the binding of carbon monoxide (a product of heme breakdown) to hemoglobin, may reflect such hemolysis. We hypothesized that CO-Hb might increase after cardiac surgery and show associations with operative risk factors and indirect markers for hemolysis. METHODS: We conducted a retrospective descriptive cohort study of data from on-pump cardiac surgery patients. We analyzed temporal changes in CO-Hb levels and applied a generalized linear model to assess patient characteristics associated with peak CO-Hb levels. Additionally, we examined their relationship with red blood cell (RBC) transfusion and bilirubin levels. RESULTS: We studied 38,487 CO-Hb measurements in 1735 patients. CO-Hb levels increased significantly after cardiac surgery, reaching a peak CO-Hb level 2.1 times higher than baseline (P < .001) at a median of 17 hours after the initiation of surgery. Several factors were independently associated with higher peak CO-Hb, including age (P < .001), preoperative respiratory disease (P = .001), New York Heart Association Class IV (P = .019), the number of packed RBC transfused (P < .001), and the duration of CPB (P = .002). Peak CO-Hb levels also significantly correlated with postoperative total bilirubin levels (Rho = 0.27, P < .001). CONCLUSIONS: CO-Hb may represent a readily obtainable and frequently measured biomarker that has a moderate association with known biomarkers of and risk factors for hemolysis in on-pump cardiac surgery patients. These findings have potential clinical implications and warrant further investigation.

Secretome Analysis Identifies Potential Pathogenicity/Virulence Factors of Tilletia indica, a Quarantined Fungal Pathogen Inciting Karnal Bunt Disease in Wheat.

Tilletia indica is a smut fungus that incites Karnal bunt in wheat. It has been considered as quarantine pest in more than 70 countries. Despite its quarantine significance, there is meager knowledge regarding the molecular mechanisms of disease pathogenesis. Moreover, various disease management strategies have proven futile. Development of effective disease management strategy requires identification of pathogenicity/virulence factors. With this aim, the present study was conducted to compare the secretomes of T. indica isolates, that is, highly (TiK) and low (TiP) virulent isolates. About 120 and 95 protein spots were detected reproducibly in TiK and TiP secretome gel images. Nineteen protein spots, which were consistently observed as upregulated/differential in the secretome of TiK isolate, were selected for their identification by MALDI-TOF/TOF. Identified proteins exhibited homology with fungal proteins playing important role in fungal adhesion, penetration, invasion, protection against host-derived reactive oxygen species, production of virulence factors, cellular signaling, and degradation of host cell wall proteins and antifungal proteins. These results were complemented with T. indica genome sequence leading to identification of candidate pathogenicity/virulence factors homologs that were further subjected to sequence- and structure-based functional annotation. Thus, present study reports the first comparative secretome analysis of T. indica for identification of pathogenicity/virulence factors. This would provide insights into pathogenic mechanisms of T. indica and aid in devising effective disease management strategies.

In-silico mining, type and frequency analysis of genic microsatellites of finger millet (Eleusine coracana (L.) Gaertn.): a comparative genomic analysis of NBS-LRR regions of finger millet with rice.

In recent years, the increased availability of the DNA sequences has given the possibility to develop and explore the expressed sequence tags (ESTs) derived SSR markers. In the present study, a total of 1956 ESTs of finger millet were used to find the microsatellite type, distribution, frequency and developed a total of 545 primer pairs from the ESTs of finger millet. Thirty-two EST sequences had more than two microsatellites and 1357 sequences did not have any SSR repeats. The most frequent type of repeats was trimeric motif, however the second place was occupied by dimeric motif followed by tetra-, hexa- and penta repeat motifs. The most common dimer repeat motif was GA and in case of trimeric SSRs, it was CGG. The EST sequences of NBS-LRR region of finger millet and rice showed higher synteny and were found on nearly same positions on the rice chromosome map. A total of eight, out of 15 EST based SSR primers were polymorphic among the selected resistant and susceptible finger millet genotypes. The primer FMBLEST5 could able to differentiate them into resistant and susceptible genotypes. The alleles specific to the resistant and susceptible genotypes were sequenced using the ABI 3130XL genetic analyzer and found similarity to NBS-LRR regions of rice and finger millet and contained the characteristic kinase-2 and kinase 3a motifs of plant R-genes belonged to NBS-LRR region. The In-silico and comparative analysis showed that the genes responsible for blast resistance can be identified, mapped and further introgressed through molecular breeding approaches for enhancing the blast resistance in finger millet.

Association mapping of agro-morphological characters among the global collection of finger millet genotypes using genomic SSR markers.

Identification of alleles responsible for various agro-morphological characters is a major concern to further improve the finger millet germplasm. Forty-six genomic SSRs were used for genetic analysis and population structure analysis of a global collection of 190 finger millet genotypes and fifteen agro-morphological characters were evaluated. The overall results showed that Asian genotypes were smaller in height, smaller flag leaf length, less basal tiller number, early flowering and early maturity nature, small ear head length, and smaller in length of longest finger. The 46 SSRs yielded 90 scorable alleles and the polymorphism information content values varied from 0.292 to 0.703 at an average of 0.442. The gene diversity was in the range of 0.355 to 0.750 with an average value of 0.528. The 46 genomic SSR loci grouped the 190 finger millet genotypes into two major clusters based on their geographical origin by the both phylogenetic clustering and population structure analysis by STRUCTURE software. Association mapping of QTLs for 15 agro-morphological characters with 46 genomic SSRs resulted in identification of five markers were linked to QTLs of four traits at a significant threshold (P) level of ≤ 0.01 and ≤ 0.001. The QTL for basal tiller number was strongly associated with the locus UGEP81 at a P value of 0.001 by explaining the phenotypic variance (R (2)) of 10.8%. The QTL for days to 50% flowering was linked by two SSR loci UGEP77 and UGEP90, explained 10 and 8.7% of R (2) respectively at a P value of 0.01. The SSR marker, FM9 found to have strong association to two agro-morphological traits, flag leaf width (P-0.001, R(2)-14.1 %) and plant height (P-0.001, R(2)-11.2%). The markers linked to the QTLs for above agro-morphological characters found in the present study can be further used for cloning of the full length gene, fine mapping and their further use in the marker assisted breeding programmes for introgression of alleles into locally well adapted germplasm.

Uncovering the genomic regions underlying grain iron and zinc content using genome-wide association mapping in finger millet.

Finger millet, being rich source of essential minerals like iron and zinc, is an ideal model to identify candidate genes contributing to high grain iron content (GIC) and zinc content (GZC) in plants. Hence, finger millet diversity panel comprised of 202 genotypes was evaluated in two geographical locations and found to have a wide variation for GIC and GZC. A genome-wide association study using 2977 single nucleotide polymorphism (SNP) markers identified reliable marker-trait associations (MTAs). The use of general linear model (GLM) and mixed linear model (MLM) approaches revealed 5 and 8 common MTAs linked to GIC and GZC, respectively, for both Almora and Pantnagar locations, with a high level of significance (P < 0.01). However, 12 significant MTAs were found to be linked with GIC for Pantnagar location alone. The MTAs were associated with specific genes that produce ferritin (Fer1), iron-regulated transporter-like protein (IRT2), and yellow stripe-like 2 proteins (YSL2). These genes are likely linked to GIC variation in finger millet. Additionally, the variation in GZC in finger millet was connected to genes that encode zinc transporters, namely ZIP1 protein (ZIP1) and ZTP29-like protein (ZTP29). Compared to low GIC and GZC genotypes, high GIC and GZC genotypes exhibited greater relative expression of these genes. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03889-1.

Cloning, in silico characterization and induction of TiKpp2 MAP kinase in Tilletia indica under the influence of host factor(s) from wheat spikes.

In order to understand the molecular mechanism(s) associated with floret specificity, morphogenetic and disease development of Karnal bunt (KB) pathogen in wheat spikes, host factor(s) was isolated from KB prone susceptible stage of wheat spikes. An orthologue of Kpp2 gene involved in pheromone response and fungal development was isolated from Tilletia indica for analyzing its role in fungal development. The maximum expression of TiKpp2 gene was observed at 14th day and decreased thereafter. To investigate whether the fungus alters the expression levels of same kinase upon interaction with plants, T. indica cultures were treated with 1% of host factor(s). Such treatment induced the expression of TiKpp2 gene in time dependent manner. Host factor(s) treatment tends to increase the myelination in fungal cultures by lowering the sporidial production. Increase in myelination led to impose more pathogenicity levels in the host and prolific multiplication of pathogen inside host causing more damage to developing grains. In silico characterization and protein-protein interaction studies further suggests that isolated gene showed similarity with Ustilago maydis Kpp2 and induction of TiKpp2 might further activate a downstream transcription factor Prf1. The results of present study clearly suggest that host factor(s) derived from wheat spikes provide certain signal(s) which activate TiKpp2 gene during morphogenetic development of T. indica and affect the fungal growth and pathogenicity. In turn it also provides a plausible explanation for floret specificity of KB fungus in wheat.

Expression analysis of MAP2K9 and MAPK6 during pathogenesis of Alternaria blight in Arabidopsis thaliana ecotype Columbia.

Arabidopsis thaliana ecotype Columbia was used as a host in order to investigate the involvement of MAP kinase machinery in the pathogenesis of Alternaria blight. Semi-quantitative reverse transcriptase polymerase chain reaction and quantitative real time PCR based approaches were used to determine the change in transcript profile of MAP2K9 and MAPK6 in leaves of A. thaliana ecotpe Columbia at early, middle and late stages of Alternaria blight infection. It was observed that the expression of both MAP2K9 and MAPK6 simultaneously increased up to middle stage of disease progression. There was observed a positive correlation between the expression of MAPK6 and MAP2K9 as disease progressed from initial to middle stage of infection. Then, the expression of MAP2K9 decreased and that of MAPK6 increased as disease progressed towards late stage of infection. The increased levels of MAP2K9 and MAPK6, seem to be necessary for plant to defend the pathogen up to middle stage of infection. However, MAP2K9 may be down regulated at late stage of infection by pathogen to promote it's efficient colonization. Since MAPK6 expression remains unaltered till late stage, it suggests that it's expression is not only regulated by MAP2K9 but also by other MAP2K's. The above results are consistent with observations of earlier studies. In conclusion, the present study has suggested MAP2K9/MAPK6 module as possible target, which is influenced during pathogenesis of Alternaria blight in A. thaliana ecotype Columbia. Hence genetic modulation in expression levels of these components in Arabidopsis or Brassica could be a possible strategy for engineering defense against Alternaria blight disease.

Differential proteomic profile of X- and Y- sorted Sahiwal bull semen.

The identification of differential proteins between X- and Y-sperm may be useful for immunological sexing of sperm. Hence, the present study was aimed to compare the protein profile of X- and Y-sorted Sahiwal bull semen using SDS-PAGE and Liquid Chromatography coupled with Mass Spectrometry (Nano LC-MS). Semen sample (n = 6) were categorized into three groups i.e., group I (X-sorted), group II (Y-sorted) and control group (both X- and Y- sperms). SDS PAGE revealed specific proteins of molecular weight between 18 and 24 kDa and between 30 and 37 kDa were present in X-sorted sperms. Also, band corresponding to 25 kDa was specific to Y-sorted sperms. Data obtained from Nano LC/MS is analysed by search engine database i.e., MASCOT and SEQUEST HT. Total, 241 proteins were identified, out of which 113 were differentially expressed between X- and Y-sorted sperms, in which 54 proteins showed at least two unique peptides. Out of 54 proteins, 27 were upregulated in X-sorted sample, 3 were upregulated in Y-sorted sample and 24 were differentially downregulated. Highly upregulated protein in X-sperm viz. Armadillo repeat containing 12 protein, NDC1 transmembrane nucleoporin, ß-nerve growth factor, C-type natriuretic peptide, Nucleobindin-2, Phosphoglycerate mutase 2, Calmodulin along with one uncharacterised protein having accession number F1MN9 may have potential to be used as biomarker for separating X and Y sperm.

Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach.

BACKGROUND: The infection caused by the SARS-CoV-2 (COVID-19) pandemic is a threat to human lives. An early and accurate diagnosis is necessary for treatment. OBJECTIVE: The study presents an efficient classification methodology for precise identification of infection caused by COVID-19 using CT and X-ray images. METHODS: The depthwise separable convolution-based model of MobileNet V2 was exploited for feature extraction. The features of infection were supplied to the SVM classifier for training which produced accurate classification results. RESULT: The accuracies for CT and X-ray images are 99.42% and 98.54% respectively. The MCC score was used to avoid any mislead caused by accuracy and F1 score as it is more mathematically balanced metric. The MCC scores obtained for CT and X-ray were 0.9852 and 0.9657, respectively. The Youden's index showed a significant improvement of more than 2% for both imaging techniques. CONCLUSION: The proposed transfer learning-based approach obtained the best results for all evaluation metrics and produced reliable results for the accurate identification of COVID-19 symptoms. This study can help in reducing the time in diagnosis of the infection.

Automatic breast lesion segmentation in phase preserved DCE-MRIs.

We offer a framework for automatically and accurately segmenting breast lesions from Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow and min cut problems in the continuous domain over phase preserved denoised images. Three stages are required to complete the proposed approach. First, post-contrast and pre-contrast images are subtracted, followed by image registrations that benefit to enhancing lesion areas. Second, a phase preserved denoising and pixel-wise adaptive Wiener filtering technique is used, followed by max flow and min cut problems in a continuous domain. A denoising mechanism clears the noise in the images by preserving useful and detailed features such as edges. Then, lesion detection is performed using continuous max flow. Finally, a morphological operation is used as a post-processing step to further delineate the obtained results. A series of qualitative and quantitative trials employing nine performance metrics on 21 cases with two different MR image resolutions were used to verify the effectiveness of the proposed method. Performance results demonstrate the quality of segmentation obtained from the proposed method.

Mainstreaming Barahnaja cultivation for food and nutritional security in the Himalayan region.

Selective production of input intensive crops in the present scenario have resulted in productivity stagnation or even decline due to excessive usage of chemicals, affecting the farmers economically. Sustainable agriculture is the way to increase agricultural productivity and economic prosperity by protecting all natural resources. It maintains a balance of soil fertility with crop productivity and nutritional quality. The mixed cropping systems followed earlier in different regions according to their tradition, climatic zone, soil and water conditions were climate-smart approaches to sustainable food production based on practical experiences over the years of old generations. The life style changes, imbalance in farming system in last 70 years and demand for more food as well as declining land resources resulted in intensive agriculture. Besides, least returns and less demand of ethnic crops gave more preference to major staple food crops. Barahnaja is a traditional orphan crops based mixed cropping system practiced in Himalayan region due to its sustainability and assured crop harvest during erratic weather conditions. This traditional farming method is an exemplary scientific approach to derive innovations with respect to productivity, quality, plant soil interactions and organic agriculture. The main focus of the review is to substantiate the characteristics of the traditional mixed cropping system by describing the advantages of the system and opportunities for scientific innovation towards new knowledge and sustainability.

Computational analysis of microarray data of Arabidopsis thaliana challenged with Alternaria brassicicola for identification of key genes in Brassica.

BACKGROUND: Alternaria blight, a recalcitrant disease caused by Alternaria brassicae and Alternaria brassicicola, has been recognized for significant losses of oilseed crops especially rapeseed-mustard throughout the world. Till date, no resistance source is available against the disease; hence, plant breeding methods cannot be used to develop disease-resistant varieties. Therefore, in the present study, efforts have been made to identify resistance and defense-related genes as well as key components of JA-SA-ET-mediated pathway involved in resistance against Alternaria brasscicola through computational analysis of microarray data and network biology approach. Microarray profiling data from wild type and mutant Arabidopsis plants challenged with Alternaria brassicicola along with control plant were obtained from the Gene Expression Omnibus (GEO) database. The data analysis, including DEGs extraction, functional enrichment, annotation, and network analysis, was used to identify genes associated with disease resistance and defense response. RESULTS: A total of 2854 genes were differentially expressed in WT9C9; among them, 1327 genes were upregulated and 1527 genes were downregulated. A total of 1159 genes were differentially expressed in JAM9C9; among them, 809 were upregulated and 350 were downregulated. A total of 2516 genes were differentially expressed in SAM9C9; among them, 1355 were upregulated and 1161 were downregulated. A total of 1567 genes were differentially expressed in ETM9C9; among them, 917 were upregulated and 650 were downregulated. Besides, a total of 2965 genes were differentially expressed in contrast WT24C24; among them, 1510 genes were upregulated and 1455 genes were downregulated. A total of 4598 genes were differentially expressed in JAM24C24; among them, 2201 were upregulated and 2397 were downregulated. A total of 3803 genes were differentially expressed in SAM24C24; among them, 1819 were upregulated and 1984 were downregulated. A total of 4164 genes were differentially expressed in ETM24C24; among them, 1895 were upregulated and 2269 were downregulated. The upregulated genes of Arabidopsis thaliana were mapped and annotated with CDS sequences of Brassica rapa obtained from PlantGDB database. Additionally, PPI network of these genes were constructed to investigate the key components of hormone-mediated pathway involved in resistance during pathogenesis. CONCLUSION: The obtained information from present study can be used to engineer resistance to Alternaria blight caused by Alternaria brasscicola through molecular breeding or genetic manipulation-based approaches for improving Brassica oilseed productivity.

Transcriptome wide identification and characterization of regulatory genes involved in EAA metabolism and validation through expression analysis in different developmental stages of finger millet spikes.

Finger millet is a rich source of seed storage proteins (SSPs). Various regulatory genes play an important role to maintain the quality and accumulation of SSPs in crop seeds. In the present study, nine regulatory genes of EAAs metabolic pathway, i.e., aspartate kinase, homoserine dehydrogenase, threonine synthase, threonine dehydratase, dihydrodipicolinate synthase, cystathionine γ synthase, anthranilate synthase, acetolactate synthase and lysine 2-oxoglutarato reductase/saccharopine dehydrogenase (LOR/SD) were identified from the transcriptomic data of developing spikes of two finger millet genotypes, i.e., GP-45 and GP-1. Results of sequence alignment search and motif/domain analysis showed high similarity of nucleotide sequences of identified regulatory genes with their respective homologs in rice. Results of promoter analysis revealed the presence of various cis-regulatory elements, like nitrogen responsive cis-elements (O2-site and GCN4), light responsive cis-elements, and stress responsive cis-elements. The presence of nine regulatory genes identified from the transcriptomic data of GP-45 and GP-1 was further confirmed by real time expression analysis in high and low protein containing genotypes, i.e., GE-3885 and GE-1437. Results of real time expression analysis showed significantly higher expression (p ≤ 0.01) of regulatory genes in GE-3885 rather than GE-1437 under control and treatment condition. Crude protein content of GE-3885 was found to be significantly higher (p ≤ 0.01) in comparison to GE-1437 under control condition, while under treatment condition GE-1437 was found to be more responsive to KNO3 treatment rather than GE-3885.

An Omics Study of Iron and Zinc Homeostasis in Finger Millet: Biofortified Foods for Micronutrient Deficiency in an Era of Climate Change?

The future of food and sustainability of the staple food crops are of utmost importance in the 21st century. Micronutrient deficiency, for example, in iron and zinc, is a common cause of human diseases. Mineral content of the staple food crops has therefore crosscutting importance for food engineering and planetary health. Finger millet, a staple food of agricultural importance worldwide, is rich in iron and zinc, and an ideal model to study the prospects of biofortified foods in times of climate change. We report here a multiomics study of the iron and zinc homeostasis in the finger millet. We identified and characterized 15 candidate genes potentially involved in iron and zinc homeostasis pathways in the finger millet. Structural and functional annotation of the candidate genes revealed a high similarity index with their respective homologs (Oryza sativa, Triticum aestivum, Zea mays, Hordeum vulgare, and Setaria italica). Transcriptome-wide expression analysis showed that genes involved in uptake and translocation of iron and zinc are highly expressed in the GP-1 genotype, while those involved in bioavailability of iron and zinc are expressed more in the GP-45 genotype of the finger millet. In conclusion, finger millet, being a stress-resilient crop, utilizes a combination of strategies in iron and zinc homeostasis pathway, which appear to play an important role in food crop acquisition of iron and zinc, despite environmentally limiting conditions. These data offer molecular insights on iron and zinc accumulation and paves the way for new strategies toward staple food crop with mineral biofortification.

Role of calreticulin in biotic and abiotic stress signalling and tolerance mechanisms in plants.

Calreticulin (CRT) is calcium binding protein of endoplasmic reticulum (ER) which performs plethora of functions besides it's role as molecular chaperone. Among the three different isoforms of this protein, CRT3 is most closely related to primitive CRT gene of higher plants. Based on their distinct structural and functional organisation, the plant CRTs have been known to contain three different domains: N, P and the C domain. The domain organisation and various biochemical characterstics of plant and animal CRTs are common with the exception of some differences. In plant calreticulin, the important N-glycosylation site(s) are replaced by the glycan chain(s) and several consensus sequences for in vitro phosphorylation by protein kinase CK2 (casein kinase-2), are also present unlike the animal calreticulin. Biotic and abiotic stresses play a significant role in bringing down the crop production. The role of various phytohormones in defense against fungal pathogens is well documented. CRT3 has been reported to play important role in protecting the plants against fungal and bacterial pathogens and in maintaining plant innate immunity. There is remarkable crosstalk between CRT mediated signalling and biotic, abiotic stress, and phytohormone mediated signalling pathways The role of CRT mediated pathway in mitigating biotic and abiotic stress can be further explored in plants so as to strategically modify it for development of stress tolerant plants.

Complementary Proteomics, Genomics approaches identifies potential pathogenicity/virulence factors in Tilletia indica induced under the influence of host factor.

Karnal bunt disease of wheat is incited by quarantine fungal pathogen T. indica. Till date, there is little information on the pathogenic mechanisms involved in Karnal bunt. In order to understand the molecular mechanisms of disease pathogenesis, highly aggressive T. indica TiK isolate was cultured in the presence of host factor extracted from developing spikes of wheat variety WH-542. Modulation in protein profile of mycelial proteins and secretome from TiK cultured in the absence and presence of host factor was analyzed by 2-DE. Fifteen and twenty nine protein spots were up-regulated/differentially regulated in the proteome of mycelial and secreted proteins, respectively and identified using MALDI-TOF/TOF. Identified proteins are involved in suppression of host defense responses, lignin degradation of plant cell wall, penetration, adhesion of pathogen to host tissues, pathogen mediated reactive oxygen species generation, hydrolytic enzymes, detoxification of host generated reactive oxygen species. Further, integration of proteomic and genomic analysis has led to candidate pathogenicity/virulence factors identification. They were functionally annotated by sequence as well as structure based analysis. In this study, complementation of proteomics and genomics approaches resulted in novel pathogenicity/virulence factor(s) identification in T. indica.

Thermal supplementing soil nutrients through biocomposting of night-soil in the northwestern Indian Himalaya.

Agriculture is one of the prime activities of the hill people residing in the northwestern Indian Himalaya. However, poor soil fertility in these areas is a big hurdle to sustainable farming. The effects of washout of topsoil and its nutrients, year after year, due to the abundance of snowfall, avalanches, landslides and erosion further add to the woes of the farmers. In the cold and harsh climatic conditions of the region, with grass and vegetation cover being scanty, it is not possible to maintain large herds of cattle for the adequate production of farmyard manure. Faced with this situation, the locals have relied heavily on obtaining organic manure derived from composting of human excreta. In earlier times the dire necessity of the farmers helped them overcome the revulsion associated with the practice of handling human excreta, but now with the advent of modernisation and the easy availability of chemical fertilisers, the people are distancing themselves from this age-old practice. More and more people are opting for modern toilets and leaving behind the traditional toilets that made possible the harvesting of manure from night-soil. As a result, this primitive practice is on the verge of extinction. This eco-friendly practice, that has sustained the land for so many generations, needs to be continued and strengthened as the long-term consequences of excessive and indiscriminant use of chemical fertilisers are becoming too obvious to ignore. Traditional knowledge needs to be combined with modern scientific know-how to make this practice safer and more acceptable. If the composting operation is managed properly, the handling will be less loathsome and the concerns of health and hygiene too will stand addressed. The present study attempts a detailed profile of the practice of 'supplementing soil nutrients through biocomposting of night-soil' in the cold desert region of Lahaul Valley. Four villages running from the northwestern part to the southeastern part of the valley were selected. The study is broadly based on a direct interview of heads of the various households in the selected villages of Kuthar (2600m), Hinsa (2700m), Jahlma (3000m) and Khoksar (3200m).

Augmentation of crop productivity through interventions of omics technologies in India: challenges and opportunities.

With the continuous increase in the population of developing countries and decline of natural resources, there is an urgent need to qualitatively and quantitatively augment crop productivity by using new tools and technologies for improvement of agriculturally important traits. The new scientific and technological omics-based approaches have enabled us to deal with several issues and challenges faced by modern agricultural system and provided us novel opportunities for ensuring food and nutritional security. Recent developments in sequencing techniques have made available huge amount of genomic and transcriptomic data on model and cultivated crop plants including Arabidopsis thaliana, Oryza sativa, Triticum aestivum etc. The sequencing data along with other data generated through several omics platforms have significantly influenced the disciplines of crop sciences. Gene discovery and expression profiling-based technologies are offering enormous opportunities to the scientific community which can now apply marker-assisted selection technology to assess and enhance diversity in their collected germplasm, introgress essential traits from new sources and investigate genes that control key traits of crop plants. Utilization of omics science and technologies for crop productivity, protection and management has recently been receiving a lot of attention; the majority of the efforts have been put into signifying the possible applications of various omics technologies in crop plant sciences. This article highlights the background of challenges and opportunities for augmentation of crop productivity through interventions of omics technologies in India.

Integrated proteomics, genomics, metabolomics approaches reveal oxalic acid as pathogenicity factor in Tilletia indica inciting Karnal bunt disease of wheat.

Tilletia indica incites Karnal bunt (KB) disease in wheat. To date, no KB resistant wheat cultivar could be developed due to non-availability of potential biomarkers related to pathogenicity/virulence for screening of resistant wheat genotypes. The present study was carried out to compare the proteomes of T. indica highly (TiK) and low (TiP) virulent isolates. Twenty one protein spots consistently observed as up-regulated/differential in the TiK proteome were selected for identification by MALDI-TOF/TOF. Identified sequences showed homology with fungal proteins playing essential role in plant infection and pathogen survival, including stress response, adhesion, fungal penetration, invasion, colonization, degradation of host cell wall, signal transduction pathway. These results were integrated with T. indica genome sequence for identification of homologs of candidate pathogenicity/virulence related proteins. Protein identified in TiK isolate as malate dehydrogenase that converts malate to oxaloacetate which is precursor of oxalic acid. Oxalic acid is key pathogenicity factor in phytopathogenic fungi. These results were validated by GC-MS based metabolic profiling of T. indica isolates indicating that oxalic acid was exclusively identified in TiK isolate. Thus, integrated omics approaches leads to identification of pathogenicity/virulence factor(s) that would provide insights into pathogenic mechanisms of fungi and aid in devising effective disease management strategies.

Molecular modeling, docking and protein-protein interaction analysis of MAPK signalling cascade involved in Camalexin biosynthesis in Brassica rapa.

Phytoalexins are small antimicrobial molecules synthesized and accumulated by plants upon exposure to pathogens. Camalexin is an indole-derived phytoalexin, which is accumulated in plants including Arabidopsis thaliana, and other Brassicaceae, which plays a major role in disease resistance against fungal pathogens. The productivity of Brassica crops is adversely affected by Alternaria blight disease, which is caused by Alternaria brassicae. In Arabidopsis thaliana, MAP kinase signalling cascade is known to be involved in synthesis of camalexin, which contributes to disease resistance against a necrtrophic fungal pathogen, Botrytis cinerea. In the present study, MAPK signalling cascade leading to biosynthesis of camalexin that triggers defense responses in B. rapa upon exposure to the most devastating nectrophic fungus, Alternaria brassicae has been elucidated with the help of previously reported MAPK cascade in Arabidopsis thaliana, Molecular modelling, docking, and protein-protein interaction analysis of MAP kinases retrieved from Brassica rapa genome have been carried out to reveal the above cascade. The tertiary structure prediction of MAPKs obtained through molecular modelling revealed that all the protein models fulfil the criteria of being the stable structures. The molecular docking of predicted models for elucidating potential partners of MAPKs revealed strong interactions between MKK1, MKK4, MKK5, MAPK3 and MAPK6 with MKK9. The MAPK signalling cascade also shows different genes that express and play major role in camalexin biosynthesis in B. rapa during defense response to A. brassicae. The understanding of MAPK defense signaling pathway in B. rapa against devastating fungal pathogen Alternaria brassicae would help in devising strategies to develop disease resistance in Brassica crops.