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Activated forms of jasmonic acid (JA) are central signals coordinating plant responses to stresses, yet tools to analyse their spatial and temporal distribution are lacking. Here we describe a JA perception biosensor termed Jas9-VENUS that allows the quantification of dynamic changes in JA distribution in response to stress with high spatiotemporal sensitivity. We show that Jas9-VENUS abundance is dependent on bioactive JA isoforms, the COI1 co-receptor, a functional Jas motif and proteasome activity. We demonstrate the utility of Jas9-VENUS to analyse responses to JA in planta at a cellular scale, both quantitatively and dynamically. This included using Jas9-VENUS to determine the cotyledon-to-root JA signal velocities on wounding, revealing two distinct phases of JA activity in the root. Our results demonstrate the value of developing quantitative sensors such as Jas9-VENUS to provide high-resolution spatiotemporal data about hormone distribution in response to plant abiotic and biotic stresses.
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http://dx.doi.org/10.1038/ncomms7043 | DOI Listing |
Behav Res Methods
September 2025
Department of Psychology, University of Basel, Basel, Switzerland.
Over the past several decades, decision-making research has been dominated by the study of binary choice tasks, with key models assuming that people remain equally cautious regardless of how long they have spent on the choice problem. Recent research has begun to place a greater focus on studying tasks with a continuous-response scale, as well as models that allow for decreases in caution over decision time; however, these research topics have remained separate from one another. For instance, proposed models of continuous-response scales have assumed constant caution over time, and studies investigating whether caution decreases over time have focused on binary choice tasks.
View Article and Find Full Text PDFJ Math Biol
September 2025
School of Mathematical Sciences and Institute of Natural Sciences, MOE-LSC, CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China.
It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power-law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal diffusion can be observed at the population level. However, the mechanism behind the transition of waiting time distribution is rarely studied. In this paper, we provide one possible mechanism to explain the origin of such a transition.
View Article and Find Full Text PDFBr J Anaesth
September 2025
MSk Lab, Imperial College London, London, UK; Theatres and Anaesthetics, Imperial College Healthcare NHS Trust, London, UK. Electronic address:
Background: The mechanisms contributing to epidural-related maternal hyperthermia remain unclear. One explanation is that blockade of cholinergic sympathetic nerves prevents active vasodilation and sweating. However, it is not known how labour epidural analgesia affects cutaneous sympathetic function.
View Article and Find Full Text PDFEnviron Health Prev Med
September 2025
Department of Occupational Pneumology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan.
Background: Organic chemicals have been known to cause allergic diseases such as bronchial asthma and hypersensitivity pneumonitis; however, the possibility that they do not cause irreversible pulmonary fibrosis has not been considered. Polyacrylic acid (PAA), an organic chemical, has caused irreversible progressive pulmonary fibrosis in exposed workers, indicating its potential to induce pulmonary inflammation and fibrosis. Although intratracheal instillation studies are commonly used for evaluating lung pathology, traditional methods face challenges with chemical substances, particularly nanoparticles, which tend to aggregate in suspension and prevent uniform pulmonary distribution.
View Article and Find Full Text PDFAnn Thorac Surg
September 2025
Department of Surgery, St. Louis University, St. Louis, MO.
Background: The use of artificial intelligence (AI) in medicine has increased dramatically. Its utilization will expand in cardiothoracic (CT) surgery, altering current practice. We surveyed CT surgeons to gain insight into their beliefs, hopes, and fears regarding AI.
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