ArticleBMC plant biology2025
The transcriptome-identified gene HaSAPK3.8 of sunflower (Helianthus annuus L.) confers drought resistance in tobacco.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Physiological and transcriptomic responses of sunflower to combined saline-alkali stress.BMC genomics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundSunflowers are often grown in arid or semi-arid areas, where their growth is frequently limited by water availability, leading to thin seedlings and reduced yields. In this study, two sunflower genotypes with contrasting drought tolerance were selected to investigate their physiological responses and transcriptomic differences under well-watered (0 h) and drought-stressed (48 h) conditions, followed by functional validation of key genes.
resultsAnalysis of physiological and biochemical parameters revealed that ABA, antioxidant enzyme activities (SOD, POD, CAT), and the contents of osmoregulatory substances (Pro, SS) in both K55 and K58 were significantly higher under drought stress compared to the control. Transcriptome analysis identified 4,106 and 1,336 differentially expressed genes (DEGs) in the leaves of K55 and K58, respectively, while 2,717 and 5,171 DEGs were found in their roots. Weighted gene co-expression network analysis (WGCNA) identified four key modules, among which two modules (darkstateblue modules and brown4 modules) showed positive correlation with physiological traits, and the other two (lightsteelblue1 modules and orangered4 modules) showed negative correlation. KEGG enrichment analysis of genes within the significantly correlated modules indicated that "plant hormone signal transduction" plays a critical role in the drought response of sunflower. Notably, a gene named HaSAPK3.8 was identified from the ABA signaling pathway, and bioinformatic analysis revealed that its promoter region contains multiple drought-responsive and hormone-responsive cis-elements. Subcellular localization showed that HaSAPK3.8 is localized in the cytoplasm and nucleus. Heterologous expression in tobacco demonstrated that, after 7 days of drought treatment, plants overexpressing HaSAPK3.8 exhibited average increases of 85.18%, 25.03%, and 23.68% in SOD, POD, and CAT activities, respectively, an average reduction of 31.34% in MDA content, and average increases of 66.54%, 25.07%, and 21.76% in ABA, Pro, and SS levels, respectively, compared to wild-type plants. Taken together, our findings demonstrate that this gene confers drought tolerance to tobacco by regulating osmotic homeostasis and reactive oxygen species (ROS) scavenging capacity.
conclusionsIn conclusion, these findings provide insights into the molecular mechanisms of drought resistance in sunflowers and support the breeding of drought-resistant varieties.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.