98%
921
2 minutes
20
The extensive support for abscisic acid (ABA) involvement in the complex regulatory networks controlling stress responses and development in plants contrasts with the relatively recent role assigned to nitric oxide (NO). Because treatment with exogenous ABA leads to enhanced production of NO, it has been widely considered that NO participates downstream of ABA in controlling processes such as stomata movement, seed dormancy, and germination. However, data on leaf senescence and responses to stress suggest that the functional interaction between ABA and NO is more complex than previously thought, including not only cooperation but also antagonism. The functional relationship is probably determined by several factors including the time- and place-dependent pattern of accumulation of both molecules, the threshold levels, and the regulatory factors important for perception. These factors will determine the actions exerted by each regulator. Here, several examples of well-documented functional interactions between NO and ABA are analysed in light of the most recent reported data on seed dormancy and germination, stomata movements, leaf senescence, and responses to abiotic and biotic stresses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/jxb/ert454 | DOI Listing |
FASEB J
September 2025
Department of Hematology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, People's Republic of China.
Epilepsy is a common chronic nervous system disease that threatens human health. However, the role of FOXC1 and its relations with pyroptosis have not been fully studied in epilepsy. Sprague-Dawley rats were obtained for constructing temporal lobe epilepsy (TLE) models.
View Article and Find Full Text PDFBioinformatics
September 2025
Centre National de Recherche en Génomique Humaine, Institut François Jacob CEA Université Paris-Saclay.
Motivation: Graph Neural Network (GNN) models have emerged in many fields and notably for biological networks constituted by genes or proteins and their interactions. The majority of enrichment study methods apply over-representation analysis and gene/protein set scores according to the existing overlap between pathways. Such methods neglect knowledges coming from the interactions between the gene/protein sets.
View Article and Find Full Text PDFJ Gerontol A Biol Sci Med Sci
September 2025
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Background: Ambulatory older residents in long-term care(LTC) have the highest risk of falling. However, the relationship between ambulatory activity (steps per day) and fall risk in LTC is unclear. This study examined whether baseline daily step count, functional capacity and cognitive function predicted falls in LTC residents, and whether functional capacity modified the relationship between step count and fall risk.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Despite significant advancements in the treatment of non-small cell lung cancer (NSCLC) using conventional therapeutic methods, drug resistance remains a major factor contributing to disease recurrence. In this study, we aimed to explore the potential benefits of combining PI3K inhibition with Cisplatin in the context of NSCLC-derived A549 cells. Human non-small cell lung cancer A549 cells were cultured and treated with BKM120, cisplatin, or their combination.
View Article and Find Full Text PDFFunct Integr Genomics
September 2025
Zhengzhou Research Base, State Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Zhengzhou, China.
In this study, a comprehensive genome-wide identification and analysis of the aldo-keto reductase (AKR) gene family was performed to explore the role of Gossypium hirsutumAKR40 under salt stress in cotton. A total of 249 AKR genes were identified with uneven distribution on the chromosomes in four cotton species. The diversity and evolutionary relationship of the cotton AKR gene family was identified using physio-chemical analysis, phylogenetic tree construction, conserved motif analysis, chromosomal localization, prediction of cis-acting elements, and calculation of evolutionary selection pressure under 300 mM NaCl stress.
View Article and Find Full Text PDF