A5013096981- Plant Stress Responses and Tolerance
- Photosynthetic Processes and Mechanisms
- Single-cell and spatial transcriptomics
- Plant-Microbe Interactions and Immunity
- Plant nutrient uptake and metabolism
- Electrospun Nanofibers in Biomedical Applications
- Postharvest Quality and Shelf Life Management
- 3D Printing in Biomedical Research
- Plant Surface Properties and Treatments
- biodegradable polymer synthesis and properties
- Evolution and Genetic Dynamics
- Gene Regulatory Network Analysis
Army Medical University
2024
University of Chinese Academy of Sciences
2010-2011
Unfavourable environment brings many kinds of stresses to plants. To survive such stresses, efficient resistance is required for the Multifunctional genes enable cross-talk among various abiotic stress systems. This paper reviews action mechanisms multifunctional genes. These can be classified into three groups: encoding diverse proteins through mRNA splicing (e.g. AOX in rice); like BADH, P5CS and HAV that control drought, salinity, osmotic heat resistance; a gene family, example AQP,...
The objective of this study was to examine the effects different abiotic stresses on activity an NADP-dependent malic enzyme (NADP-ME) and corresponding gene transcription in leaves hexaploid wheat (Triticum aestivum L.) NADP-ME increased by water stress (20 % polyethylene glycol 6000), low temperature (4 °C), darkness, salinity (200 mM NaCl), abscisic acid salicylic acid. TaNADP-ME1 decreased response all except darkness NaCl. In addition, TaNADP-ME2 down-regulated tested treatments could...
TaCer6 was firstly cloned by rapid amplification of cDNA ends (RACE) and identified as a tissue-specific gene in wheat. To determine if environmental factors such drought low temperature induce transcription, we examined the effects these on two wheat cultivars. Our results demonstrated that light essential for salt stress inhibited expression application salicylic acid enhanced transcripts accumulation. In addition, polyethylene glycol (PEG 6000) abscisic increased more drought-...
Abstract The rapid development of single-cell sequencing provides unparalleled opportunity for delineating the heterogeneous characteristics individual cells, while current methodologies fall short in accurately deciphering origins cellular heterogeneity and pinpointing states cell fate decisions. In this study, we introduce a novel approach termed Single-cell Reinforcement Learning (scRL) by integrating framework reinforcement learning into data analysis with assistance an actor-critic...