A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys.

Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. Asymptomatic breakthrough infections have been a major problem in assessing vaccine effectiveness in populations globally. Serological discrimination of vaccine response from infection has so far been limited to Spike protein vaccines since whole virion vaccines generate antibodies against all the viral proteins. Here, we show how a statistical and machine learning (ML) based approach can be used to discriminate between SARS-CoV-2 infection and immune response to an inactivated whole virion vaccine (BBV152, Covaxin). For this, we assessed serial data on antibodies against Spike and Nucleocapsid antigens, along with age, sex, number of doses taken, and days since last dose, for 1823 Covaxin recipients. An ensemble ML model, incorporating a consensus clustering approach alongside the support vector machine model, was built on 1063 samples where reliable qualifying data existed, and then applied to the entire dataset. Of 1448 self-reported negative subjects, our ensemble ML model classified 724 to be infected. For method validation, we determined the relative ability of a random subset of samples to neutralize Delta versus wild-type strain using a surrogate neutralization assay. We worked on the premise that antibodies generated by a whole virion vaccine would neutralize wild type more efficiently than delta strain. In 100 of 156 samples, where ML prediction differed from self-reported uninfected status, neutralization against Delta strain was more effective, indicating infection. We found 71.8% subjects predicted to be infected during the surge, which is concordant with the percentage of sequences classified as Delta (75.6%-80.2%) over the same period. Our approach will help in real-world vaccine effectiveness assessments where whole virion vaccines are commonly used.

Transcriptome profiling illustrates expression signatures of dehydration tolerance in developing grasspea seedlings.

MAIN CONCLUSION: This study highlights dehydration-mediated temporal changes in physicochemical, transcriptome and metabolome profiles indicating altered gene expression and metabolic shifts, underlying endurance and adaptation to stress tolerance in the marginalized crop, grasspea. Grasspea, often regarded as an orphan legume, is recognized to be fairly tolerant to water-deficit stress. In the present study, 3-week-old grasspea seedlings were subjected to dehydration by withholding water over a period of 144 h. While there were no detectable phenotypic changes in the seedlings till 48 h, the symptoms appeared during 72 h and aggravated upon prolonged dehydration. The physiological responses to water-deficit stress during 72-96 h displayed a decrease in pigments, disruption in membrane integrity and osmotic imbalance. We evaluated the temporal effects of dehydration at the transcriptome and metabolome levels. In total, 5201 genes of various functional classes including transcription factors, cytoplasmic enzymes and structural cell wall proteins, among others, were found to be dehydration-responsive. Further, metabolome profiling revealed 59 dehydration-responsive metabolites including sugar alcohols and amino acids. Despite the lack of genome information of grasspea, the time course of physicochemical and molecular responses suggest a synchronized dehydration response. The cross-species comparison of the transcriptomes and metabolomes with other legumes provides evidence for marked molecular diversity. We propose a hypothetical model that highlights novel biomarkers and explain their relevance in dehydration-response, which would facilitate targeted breeding and aid in commencing crop improvement efforts.

Dehydration-induced proteomic landscape of mitochondria in chickpea reveals large-scale coordination of key biological processes.

Mitochondria play crucial roles in regulating multiple biological processes particularly electron transfer and energy metabolism in eukaryotic cells. Exposure to water-deficit or dehydration may affect mitochondrial function, and dehydration response may dictate cell fate decisions. iTRAQ-based quantitative proteome of a winter legume, chickpea, demonstrated the central metabolic alterations in mitochondria, presumably involved in dehydration adaptation. Three-week-old chickpea seedlings were subjected to progressive dehydration and the magnitude of dehydration-induced compensatory physiological responses was monitored in terms of physicochemical characteristics and mitochondrial architecture. The proteomics analysis led to the identification of 40 dehydration-responsive proteins whose expressions were significantly modulated by dehydration. The differentially expressed proteins were implicated in different metabolic processes, with obvious functional tendencies toward purine-thiamine metabolic network, pathways of carbon fixation and oxidative phosphorylation. The linearity of dehydration-induced proteome alteration was examined with transcript abundance of randomly selected candidates under multivariate stress conditions. The differentially regulated proteins were validated through sequence analysis. An extensive sequence based localization prediction revealed >62.5% proteins to be mitochondrial resident by, at least, one prediction algorithm. The results altogether provide intriguing insights into the dehydration-responsive metabolic pathways and useful clues to identify crucial proteins linked to stress tolerance. BIOLOGICAL SIGNIFICANCE: Investigation on plant mitochondrial proteome is of significance because it would allow a better understanding of mitochondrial function in plant adaptation to stress. Mitochondria are the unique organelles, which play a crucial role in energy metabolism and cellular homeostasis, particularly when exposed to stress conditions. Chickpea is one of the cultivated winter legumes, which enriches soil nitrogen and has very low water footprint and thus contributes to fortification of sustainable agriculture. We therefore examined the dehydration-responsive mitochondrial proteome landscape of chickpea and queried whether molecular interplay of mitochondrial proteins modulate dehydration tolerance. A total of 40 dehydration-induced mitochondrial proteins were identified, predicted to be involved in key metabolic processes. Our future efforts would focus on understanding both posttranslational modification and processing for comprehensive characterization of mitochondrial protein function. This approach will facilitate mining of more biomarkers linked to the tolerance trait and contribute to crop adaptation to climate change.

Variety-specific nutrient acquisition and dehydration-induced proteomic landscape of grasspea (Lathyrus sativus L.).

Grasspea, a stress-resilient pulse crop, has largely remained outside the realm of phytochemical and functional genomics analyses despite its high nutritional significance. To unravel the intervarietal variability in nutrient acquisition of grasspea, we conducted a series of physicochemical experiments using two cultivated varieties, LP-24 and Prateek. The analyses revealed high percentage of starch, cellulose, peroxides, carotenoids, phytic acid and minerals in cv. LP-24, whereas large amounts of protein, soluble carbohydrates and antioxidants in Prateek. To dissect the mechanism of stress tolerance, 3-week-old seedlings of cv. LP-24 and Prateek were afflicted with dehydration for a period of 144 h. The physicochemical indices indicated better adaptation in cv. LP-24, with high abundance of proline, phenolics and flavonoids. Dehydration-responsive proteome landscape of cv. LP-24 revealed 152 proteins with variance at a statistically 94% significance level. The comparative proteomics analysis led to the identification of 120 dehydration-responsive proteins (DRPs), most of which were associated with carbohydrate metabolism, amino acid synthesis, antioxidant reactions and cell defense. We report, for the first time, the dehydration-induced proteome landscape of grasspea, whose genome is yet to be sequenced. The results provide unique insights into variety-specific nutrient acquisition attributes and dehydration-tolerance of grasspea. BIOLOGICAL SIGNIFICANCE: Grasspea is a great source of protein and antioxidants with nitrogen fixing ability, besides its tolerance to multivariate environmental stress as compared to major legume species. This represents the first report on nutrient profile and health-promoting attributes of grasspea. The cultivars under study are nutritionally enriched that possess high protein, amino acids and health-promoting factors and may therefore be projected as a vital part of a healthy diet. Grasspea is known for its hardy nature, water-use efficiency and efficacy as a stress-tolerant pulse. Further, this study portrays the dehydration-responsive proteomic landscape of grasspea. The proteomics analyses provide crucial insights into the dehydration response, presumably orchestrated by proteins belonging to an array of functional classes including photosynthesis, protein and RNA metabolism, protein folding, antioxidant enzymes and defense. The interplay of the differentially regulated proteins might aid in reinforcing the mechanisms of dehydration avoidance and/or tolerance.

CicerTransDB 1.0: a resource for expression and functional study of chickpea transcription factors.

BACKGROUND: Transcription factor (TF) databases are major resource for systematic studies of TFs in specific species as well as related family members. Even though there are several publicly available multi-species databases, the information on the amount and diversity of TFs within individual species is fragmented, especially for newly sequenced genomes of non-model species of agricultural significance. DESCRIPTION: We constructed CicerTransDB (Cicer Transcription Factor Database), the first database of its kind, which would provide a centralized putatively complete list of TFs in a food legume, chickpea. CicerTransDB, available at www.cicertransdb.esy.es , is based on chickpea (Cicer arietinum L.) annotation v 1.0. The database is an outcome of genome-wide domain study and manual classification of TF families. This database not only provides information of the gene, but also gene ontology, domain and motif architecture. CONCLUSION: CicerTransDB v 1.0 comprises information of 1124 genes of chickpea and enables the user to not only search, browse and download sequences but also retrieve sequence features. CicerTransDB also provides several single click interfaces, transconnecting to various other databases to ease further analysis. Several webAPI(s) integrated in the database allow end-users direct access of data. A critical comparison of CicerTransDB with PlantTFDB (Plant Transcription Factor Database) revealed 68 novel TFs in the chickpea genome, hitherto unexplored. Database URL: http://www.cicertransdb.esy.es.

Plant Organellar Proteomics in Response to Dehydration: Turning Protein Repertoire into Insights.

Stress adaptation or tolerance in plants is a complex phenomenon involving changes in physiological and metabolic processes. Plants must develop elaborate networks of defense mechanisms, and adapt to and survive for sustainable agriculture. Water-deficit or dehydration is the most critical environmental factor that plants are exposed to during their life cycle, which influences geographical distribution and productivity of many crop species. The cellular responses to dehydration are orchestrated by a series of multidirectional relays of biochemical events at organelle level. The new challenge is to dissect the underlying mechanisms controlling the perception of stress signals and their transmission to cellular machinery for activation of adaptive responses. The completeness of current descriptions of spatial distribution of proteins, the relevance of subcellular locations in diverse functional processes, and the changes of protein abundance in response to dehydration hold the key to understanding how plants cope with such stress conditions. During past decades, organellar proteomics has proved to be useful not only for deciphering reprograming of plant responses to dehydration, but also to dissect stress-responsive pathways. This review summarizes a range of organellar proteomics investigations under dehydration to gain a holistic view of plant responses to water-deficit conditions, which may facilitate future efforts to develop genetically engineered crops for better adaptation.

Comparison of proteomic and metabolomic profiles of two contrasting ecotypes of sweetpotato (Ipomoea batata L.).

UNLABELLED: Sweetpotato has long been acknowledged as a significant contributor of global caloric needs, which continues to be of remarkable economic value. It is an important staple and emergency food in many countries and its annual world production hovers to about 130 million tons. The tubers act as sink and compete for the available photoassimilates eventually leading to the acquisition of nutrients and phytochemicals. Differential display of genes or gene-products, and metabolites causes differences in nutritive value of closely related ecotypes. To better understand the molecular basis for differential nutrient availability and phytochemicals, and exploit the natural genetic variation(s), we aimed at developing proteometabolic profiles of two contrasting ecotypes of sweetpotato. Proteomic analyses led to the identification of 1541 and 1201 proteins in orange fleshed and white fleshed sweetpotato ecotypes, respectively, presumably associated with binding, followed by catalytic, transferase, hydrolase, kinase and transporter activities. Furthermore, metabolome profiling revealed 148 and 126 metabolites in cv. OFSP and WFSP, respectively. This study would provide a basis for future comparative proteometabolomic efforts for sweetpotato, in particular and tuber crops in general. The results would expand our understanding of the proteome as well as metabolome and give new insights into how ecotype-specific traits are developed. BIOLOGICAL SIGNIFICANCE: Sweetpotato, the potato of the tropics, is the seventh most important crop worldwide in terms of production for food and additional industrial resources. Over 95% of the global sweet potato is produced in developing countries where it is considered as emergency food. It is also a vegetable, a snack food and confectionery item in most countries. It greatly contributes as a phytochemical source of nutrition and can produce more edible energy per hectare per day than wheat or rice. The adaptability to a wide range of agroecological conditions with least growth requirements makes it a preferred tuber crop of high commercial significance. Despite its nutritional merits, it has always remained outside the realm of large-scale functional genomics. Therefore, this study was aimed at constructing the proteomics and metabolomics shared resource for sweetpotato. These data are particularly significant, at least partially due to the fact that the currently available information about sweet potato is under-represented.

Legume proteomics: Progress, prospects, and challenges.

Legumes are the major sources of food and fodder with strong commercial relevance, and are essential components of agricultural ecosystems owing to their ability to carry out endosymbiotic nitrogen fixation. In recent years, legumes have become one of the major choices of plant research. The legume proteomics is currently represented by more than 100 reference maps and an equal number of stress-responsive proteomes. Among the 48 legumes in the protein databases, most proteomic studies have been accomplished in two model legumes, soybean, and barrel medic. This review highlights recent contributions in the field of legume proteomics to comprehend the defence and regulatory mechanisms during development and adaptation to climatic changes. Here, we attempted to provide a concise overview of the progress in legume proteomics and discuss future developments in three broad perspectives: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress. Such data mining may aid in discovering potential biomarkers for plant growth, in general, apart from essential components involved in stress tolerance. The prospect of integrating proteome data with genome information from legumes will provide exciting opportunities for plant biologists to achieve long-term goals of crop improvement and sustainable agriculture.

Birth of plant proteomics in India: a new horizon.

In the post-genomic era, proteomics is acknowledged as the next frontier for biological research. Although India has a long and distinguished tradition in protein research, the initiation of proteomics studies was a new horizon. Protein research witnessed enormous progress in protein separation, high-resolution refinements, biochemical identification of the proteins, protein-protein interaction, and structure-function analysis. Plant proteomics research, in India, began its journey on investigation of the proteome profiling, complexity analysis, protein trafficking, and biochemical modeling. The research article by Bhushan et al. in 2006 marked the birth of the plant proteomics research in India. Since then plant proteomics studies expanded progressively and are now being carried out in various institutions spread across the country. The compilation presented here seeks to trace the history of development in the area during the past decade based on publications till date. In this review, we emphasize on outcomes of the field providing prospects on proteomic pathway analyses. Finally, we discuss the connotation of strategies and the potential that would provide the framework of plant proteome research. BIOLOGICAL SIGNIFICANCE: The past decades have seen rapidly growing number of sequenced plant genomes and associated genomic resources. To keep pace with this increasing body of data, India is in the provisional phase of proteomics research to develop a comparative hub for plant proteomes and protein families, but it requires a strong impetus from intellectuals, entrepreneurs, and government agencies. Here, we aim to provide an overview of past, present and future of Indian plant proteomics, which would serve as an evaluation platform for those seeking to incorporate proteomics into their research programs. This article is part of a Special Issue entitled: Proteomics in India.

Nuclear phosphoproteome of developing chickpea seedlings (Cicer arietinum L.) and protein-kinase interaction network.

Nucleus, the control centre of eukaryotic cell, houses most of the genetic machineries required for gene expression and their regulation. Post translational modifications of proteins, particularly phosphorylation control a wide variety of cellular processes but its functional connectivity, in plants, is still elusive. This study profiled the nuclear phosphoproteome of a grain legume, chickpea, to gain better understanding of such event. Intact nuclei were isolated from 3-week-old seedlings using two independent methods, and nuclear proteins were resolved by 2-DE. In a separate set of experiments, phosphoproteins were enriched using IMAC method and resolved by 1-DE. The separated proteins were stained with phosphospecific Pro-Q Diamond stain. Proteomic analyses led to the identification of 107 putative phosphoproteins, of which 86 were non-redundant. Multiple sites of phosphorylation were predicted on several key elements, which included both regulatory and functional proteins. The analysis revealed an array of phosphoproteins, presumably involved in a variety of cellular functions, viz., protein folding (24%), signalling and gene regulation (22%), DNA replication, repair and modification (16%), and metabolism (13%), among others. These results represent the first nucleus-specific phosphoproteome map of a non-model legume, which would provide insights into the possible function of protein phosphorylation in plants. BIOLOGICAL SIGNIFICANCE: Chickpea is grown over 10 million hectares of land worldwide, and global production hovers around 8.5 million metric tons annually. Despite its nutritional merits, it is often referred to as 'orphan' legume and has remained outside the realm of large-scale functional genomics studies. While current chickpea genome initiative has primarily focused on sequence information and functional annotation, proteomics analyses are limited. It is thus important to study the proteome of the cell organelle particularly the nucleus, which harbors most of the genetic information and gene expression machinery. Phosphorylation-dependent modulation of gene expression plays a vital role but the complex networks of phosphorylation are poorly understood. This inventory of nuclear phosphoproteins would provide valuable insights into the dynamic regulation of cellular phenotype through phosphorylation. This article is part of a Special Issue entitled: Proteomics of non-model organisms.

OsAlba1, a dehydration-responsive nuclear protein of rice (Oryza sativa L. ssp. indica), participates in stress adaptation.

Alba proteins have exhibited great functional plasticity through the course of evolution and constitute a superfamily that spans across three domains of life. Earlier, we had developed the dehydration-responsive nuclear proteome of an indica rice cultivar, screening of which led to the identification of an Alba protein. Here we describe, for the first time, the complete sequence of the candidate gene OsAlba1, its genomic organization, and possible function/s in plant. Phylogenetic analysis showed its close proximity to other monocots as compared to dicot Alba proteins. Protein-DNA interaction prediction indicates a DNA-binding property for OsAlba1. Confocal microscopy showed the localization of OsAlba1-GFP fusion protein to the nucleus, and also sparsely to the cytoplasm. Water-deficit conditions triggered OsAlba1 expression suggesting its function in dehydration stress, possibly through an ABA-dependent pathway. Functional complementation of the yeast mutant ΔPop6 established that OsAlba1 also functions in oxidative stress tolerance. The preferential expression of OsAlba1 in the flag leaves implies its role in grain filling. Our findings suggest that the Alba components such as OsAlba1, especially from a plant where there is no evidence for a major chromosomal role, might play important function in stress adaptation.

Characterisation of the nuclear proteome of a dehydration-sensitive cultivar of chickpea and comparative proteomic analysis with a tolerant cultivar.

Water deficit or dehydration hampers plant growth and development, and shrinks harvest size of major crop species worldwide. Therefore, a better understanding of dehydration response is the key to decipher the regulatory mechanism of better adaptation. In recent years, nuclear proteomics has become an attractive area of research, particularly to study the role of nucleus in stress response. In this study, a proteome of dehydration-sensitive chickpea cultivar (ICCV-2) was generated from nuclei-enriched fractions. The LC-MS/MS analysis led to the identification of 75 differentially expressed proteins presumably associated with different metabolic and regulatory pathways. Nuclear localisation of three candidate proteins was validated by transient expression assay. The ICCV-2 proteome was then compared with that of JG-62, a tolerant cultivar. The differential proteomics and in silico analysis revealed cultivar-specific differential expression of many proteins involved in various cellular functions. The differential tolerance could be attributed to altered expression of many structural proteins and the proteins involved in stress adaptation, notably the ROS catabolising enzymes. Further, a comprehensive comparison on the abiotic stress-responsive nuclear proteome was performed using the datasets published thus far. These findings might expedite the functional determination of the dehydration-responsive proteins and their prioritisation as potential molecular targets for better adaptation.

Proteomic analysis reveals the diversity and complexity of membrane proteins in chickpea (Cicer arietinum L.).

BACKGROUND: Compartmentalization is a unique feature of eukaryotes that helps in maintaining cellular homeostasis not only in intra- and inter-organellar context, but also between the cells and the external environment. Plant cells are highly compartmentalized with a complex metabolic network governing various cellular events. The membranes are the most important constituents in such compartmentalization, and membrane-associated proteins play diverse roles in many cellular processes besides being part of integral component of many signaling cascades. RESULTS: To obtain valuable insight into the dynamic repertoire of membrane proteins, we have developed a proteome reference map of a grain legume, chickpea, using two-dimensional gel electrophoresis. MALDI-TOF/TOF and LC-ESI-MS/MS analysis led to the identification of 91 proteins involved in a variety of cellular functions viz., bioenergy, stress-responsive and signal transduction, metabolism, protein synthesis and degradation, among others. Significantly, 70% of the identified proteins are putative integral membrane proteins, possessing transmembrane domains. CONCLUSIONS: The proteomic analysis revealed many resident integral membrane proteins as well as membrane-associated proteins including those not reported earlier. To our knowledge, this is the first report of membrane proteome from aerial tissues of a crop plant. The findings may provide a better understanding of the biochemical machinery of the plant membranes at the molecular level that might help in functional genomics studies of different developmental pathways and stress-responses.

Characterization of the secretome of chickpea suspension culture reveals pathway abundance and the expected and unexpected secreted proteins.

The secretome of an organism is defined as a set of secreted proteins that encompasses all proteins exported to the extracellular space. To better understand the chickpea secretome, we used callus culture to isolate and identify secreted proteins as a step toward determining their functions. Proteins in the extracellular media of the suspension culture were examined using SDS-PAGE and mass spectrometry (LC-MS/MS). Proteomic analysis led to the identification of 773 proteins, presumably involved in a variety of functions including metabolism, signal transduction, transport, and cell defense, in addition to maintaining redox status of extracellular space. Bioinformatic analysis confirmed 724 proteins, accounting for 94% of the identified proteins, as constituents of the secretome. Analysis of the secretome revealed the presence of several proteins of unknown function and a large number of classical and nonclassical secreted proteins. This represents the first comprehensive secretome of a legume genome, which is yet to be sequenced. Comparative analysis of the chickpea secretome with those of Medicago, Arabidopsis, and rice revealed that the majority of identified proteins are seemingly species-specific. This study demonstrates that characterization of the chickpea secretome in vitro can be used to identify secreted proteins, which has implications for systems biology research.