Browsing by Author "Singh, Anupriya"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    How much do we know about the threat of combined stresses in Indian agriculture?
    (Current Science Association, 2021) Singh, Anupriya; Senthil-Kumar, Muthappa
    Pathogens and pests continue to evolve new strains and variants, with different levels and mechanisms of resistance. Meanwhile, the earth faces unprecedented changes in global climate. Together, various stress combinations can have devastating effects on agriculture. Studies focusing on combinatorial effects of different stresses and novel strategies to control them are urgently warranted for food security. This note enumerates the occurrence and impact of combined stresses and the efforts made by Indian researchers to explore this aspect. Through this write-up, we hope to draw attention to the need for expanding research in this area in India.
  • Thumbnail Image
    Item
    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.