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Drought stress is a prominent abiotic factor that adversely influences the growth and development of Bupleurum chinense during its seedling stage, negatively impacting biomass and secondary metabolite production, thus affecting yield and quality. To investigate the molecular mechanism underlying the response of B. chinense seedlings under drought stress, this study employed comprehensive physiological, transcriptomic, and metabolomic analyses. The results revealed that under drought stress, the root soluble sugar and free proline content in B. chinense seedlings significantly increased, while the activities of SOD, POD, and CAT increased in the leaves. These findings indicate the presence of distinct response mechanisms in B. chinense to cope with drought stress. Integrated analysis further identified significant correlations between genes and metabolites related to amino acid biosynthesis in the leaves, as well as genes and metabolites associated with acetaldehyde and dicarboxylic acid metabolism. In the roots, genes and metabolites related to plant hormone signaling and the tricarboxylic acid (TCA) cycle showed significant correlations. These findings provide vital views into the molecular-level response mechanisms of B. chinense under drought stress. Moreover, this study establishes the groundwork for identifying drought-tolerant genes and breeding drought-resistant varieties, which could improve the drought tolerance of medicinal plants and have broader implications for agriculture and crop production in water-scarce areas.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11156411 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0304503 | PLOS |
Naturwissenschaften
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Colorado Water Center, Colorado State University, Fort Collins, CO, 80523, USA.
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View Article and Find Full Text PDFPlant Cell Physiol
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Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan, ROC.
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View Article and Find Full Text PDFGlob Chang Biol
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Chair of Silviculture, Faculty of Environment and Natural Resources, Institute of Forest Sciences, University of Freiburg, Freiburg, Germany.
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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.
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