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Chickpea production is vulnerable to drought stress. Identifying the genetic components underlying drought adaptation is crucial for enhancing chickpea productivity. Here, we present the fine mapping and characterization of 'QTL-hotspot', a genomic region controlling chickpea growth with positive consequences on crop production under drought. We report that a non-synonymous substitution in the transcription factor CaTIFY4b regulates seed weight and organ size in chickpea. Ectopic expression of CaTIFY4b in Medicago truncatula enhances root growth under water deficit. Our results suggest that allelic variation in 'QTL-hotspot' improves pre-anthesis water use, transpiration efficiency, root architecture and canopy development, enabling high-yield performance under terminal drought conditions. Gene expression analysis indicated that CaTIFY4b may regulate organ size under water deficit by modulating the expression of GRF-INTERACTING FACTOR1 (GIF1), a transcriptional co-activator of Growth-Regulating Factors. Taken together, our study offers new insights into the role of CaTIFY4b and on diverse physiological and molecular mechanisms underpinning chickpea growth and production under specific drought scenarios.
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http://dx.doi.org/10.1111/pbi.13840 | DOI Listing |
Naturwissenschaften
September 2025
Colorado Water Center, Colorado State University, Fort Collins, CO, 80523, USA.
Drought stress is the most vulnerable abiotic factor affecting plant growth and yield. The use of silicic acid as seed priming treatment is emerging as an effective approach to regulate maize plants susceptibility to water stress. The study was formulated for investigating the effect of silicic acid seed priming treatment in modulating the oxidative defense and key physio-biochemical attributes of maize plants under drought stress conditions.
View Article and Find Full Text PDFFront Genet
August 2025
Center for Applied Genetic Technologies, University of Georgia, Athens, GA, United States.
This study introduces a Drought Adaptation Index (DAI), derived from Best Linear Unbiased Prediction (BLUP), as a method to assess drought resilience in switchgrass ( L.). A panel of 404 genotypes was evaluated under drought-stressed (CV) and well-watered (UC) conditions over four consecutive years (2019-2022).
View Article and Find Full Text PDFFood Sci Nutr
September 2025
Department of Biology, College of Natural and Computational Sciences Mizan-Tepi University Tepi Ethiopia.
Climatic challenges increasingly threaten global food security, necessitating crops with enhanced multi-stress resilience. Through systematic transcriptomic analysis of 100 wheat genotypes under heat, drought, cold, and salt stress, we identified 3237 differentially expressed genes (DEGs) enriched in key stress-response pathways. Core transcription factors (, , ) and two functional modules governing abiotic tolerance were characterized.
View Article and Find Full Text PDFCurr Biol
September 2025
Institute at Brown for Environment and Society, Brown University, Providence, RI, USA.
Extreme climate events, such as storms, droughts or cold waves, wreak havoc on human and natural systems, but they can also catalyze rapid evolutionary change. Because such extreme events have historically been rare and difficult to forecast, studies of their biological impacts have mostly been serendipitous, limiting our understanding of their evolutionary consequences. However, with extreme climate events now increasing in frequency and severity due to human-induced global change, the opportunity - and need - to study their evolutionary consequences has grown.
View Article and Find Full Text PDFTheor Appl Genet
September 2025
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
The German Federal Ex Situ Genebank for Agricultural and Horticultural Crops (IPK) harbours over 3000 pea plant genetic resources (PGRs), backed up by corresponding information across 16 key agronomic and economical traits. The unbalanced structure and inconsistent format of this historical data has precluded effective leverage of genebank accessions, despite the opportunities contained in its genetic diversity. Therefore, a three-step statistical approach founded in linear mixed models was implemented to enable a rigorous and targeted data curation.
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