Evidence map›Paper›PMID 42016553›Full record

ArticleFrontiers in plant science2026

Time-course transcriptomic information unravels the adaptation strategies of

Yu Zhang, Yi Wang, Hai Hu, Hui Wang, Chenggang Luo

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Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yu Zhang *Tobacco Research Institute of Chinese Academy of Agricultural Sciences China, Qing'dao, China.
Yi Wang *Weifang Tobacco Co., Ltd., Weifang, China.
Hai HuChina Tobacco Hebei Industrial Co., Ltd, Shijiazhuang, China.
Hui WangQingdao Institute of Bioenergy and Bioprocess Technology Academy of Sciences, Shangdong Energy Institute, Qing'dao, China.
Chenggang LuoTobacco Research Institute of Chinese Academy of Agricultural Sciences China, Qing'dao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Drought stress, exacerbated by global climate change, poses a significant threat to agricultural productivity and global food security. Plants have evolved intricate adaptive mechanisms, with the root system playing a crucial role in sensing soil water deficits and acquiring essential resources. Methods: This study investigated the time-course adaptation strategies of two Results: RSA parameters generally decreased, while specific root length, surface area, and volume increased. Antioxidant enzyme activities (SOD, POD, CAT) and proline content in roots significantly increased, contrasting with a reduction in soluble sugars. This research provides valuable insights into the dynamic molecular and physiological mechanisms underlying drought adaptation in tobacco roots, offering potential targets for breeding drought-tolerant cultivars to enhance agricultural resilience in a changing climate. Analysis of the root transcriptome identified a large cohort of differentially expressed genes (DEGs), with more downregulated than upregulated DEGs across all drought stages in both varieties. Time-course analysis using STEM identified distinct expression profiles for ZC208 (6 profiles) and ZY100 (8 profiles), highlighting dynamic gene regulation over time. WGCNA identified modules strongly correlated with RSA parameters, with key pathways including 'MAPK signaling pathway, plant', 'plant-pathogen interaction', and 'sesquiterpenoid and triterpenoid biosynthesis'. Genes involved in plant hormone signaling (e.g., AUX/IAA, PYR/PYL) and starch/sucrose metabolism (e.g., endoglucanase, β-glucosidase) showed differential expression patterns, indicating their crucial roles in drought response. Discussion: This research provides valuable insights into the dynamic molecular and physiological mechanisms underlying drought adaptation in tobacco roots, offering potential targets for breeding drought-tolerant cultivars to enhance agricultural resilience in a changing climate.

Indexed as

drought resilienceroot traitstobaccotranscriptomicswater scarcity

Identifiers

PMID42016553
PMCPMC13094138

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.