Institutional Publications

Permanent URI for this collectionhttps://ndkr-library.nipgr.ac.in/handle/123456789/11

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Author: search.filters.author.Senthil-Kumar, MuthappaSubject: search.filters.subject.climate resilience

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    From combined stress to climate resilience: harnessing the power of a knowledge resource
    (Current Science Association, 2024) Maitraya, Bharat; Pandey, Prachi; Senthil-Kumar, Muthappa
    Understanding the intricate dynamic impact of combined stresses on plant growth and productivity amidst escalating climate change is one of the most prevalent challenges for today’s plant stress biologists. This commentary emphasizes the necessity of employing a centralized resource to collect and analyse scattered data on combined and individual abiotic and biotic stresses in plants. Introducing the Stress Combinations and their Interactions in Plants Database, we underscore its role in consolidating and comprehending diverse omics datasets and facilitating interdisciplinary research efforts to advance agricultural research.
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    Drought: A context-dependent damper and aggravator of plant diseases
    (John Wiley & Sons, 2024) Choudhary, Aanchal; Senthil-Kumar, Muthappa
    Drought dynamically influences the interactions between plants and pathogens, thereby affecting disease outbreaks. Understanding the intricate mechanistic aspects of the multiscale interactions among plants, pathogens, and the environment—known as the disease triangle—is paramount for enhancing the climate resilience of crop plants. In this review, we systematically compile and comprehensively analyse current knowledge on the influence of drought on the severity of plant diseases. We emphasise that studying these stresses in isolation is not sufficient to predict how plants respond to combined stress from both drought and pathogens. The impact of drought and pathogens on plants is complex and multifaceted, encompassing the activation of antagonistic signalling cascades in response to stress factors. The nature, intensity, and temporality of drought and pathogen stress occurrence significantly influence the outcome of diseases. We delineate the drought-sensitive nodes of plant immunity and highlight the emerging points of crosstalk between drought and defence signalling under combined stress. The limited mechanistic understanding of these interactions is acknowledged as a key research gap in this area. The information synthesised herein will be crucial for crafting strategies for the accurate prediction and mitigation of future crop disease risks, particularly in the context of a changing climate.
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    Stress combinations and their interactions in plants database: a one-stop resource on combined stress responses in plants
    (John Wiley & Sons, 2023) Priya, Piyush; Patil, Mahesh; Pandey, Prachi; Singh, Anupriya; Babu, Vishnu Sudha; Senthil-Kumar, Muthappa
    We have developed a compendium and interactive platform, named Stress Combinations and their Interactions in Plants Database (SCIPDb; http://www.nipgr.ac.in/scipdb.php), which offers information on morpho-physio-biochemical (phenome) and molecular (transcriptome and metabolome) responses of plants to different stress combinations. SCIPDb is a plant stress informatics hub for data mining on phenome, transcriptome, trait-gene ontology, and data-driven research for advancing mechanistic understanding of combined stress biology. We analyzed global phenome data from 939 studies to delineate the effects of various stress combinations on yield in major crops and found that yield was substantially affected under abiotic-abiotic stresses. Transcriptome datasets from 36 studies hosted in SCIPDb identified novel genes, whose roles have not been earlier established in combined stress. Integretome analysis under combined drought-heat stress pinpointed carbohydrate, amino acid, and energy metabolism pathways as the crucial metabolic, proteomic, and transcriptional components in plant tolerance to combined stress. These examples illustrate the application of SCIPDb in identifying novel genes and pathways involved in combined stress tolerance. Further, we showed the application of this database in identifying novel candidate genes and pathways for combined drought and pathogen stress tolerance. To our knowledge, SCIPDb is the only publicly available platform offering combined stress-specific omics big data visualization tools, such as an interactive scrollbar, stress matrix, radial tree, global distribution map, meta-phenome analysis, search, BLAST, transcript expression pattern table, Manhattan plot, and co-expression network. These tools facilitate a better understanding of the mechanisms underlying plant responses to combined stresses.