High-throughput transcriptome provides an unbiased approach for understanding the genetic basis and gene functions in response to different conditions. Here we sequenced RNA-seq libraries derived from a Bombax ceiba L. system under a controlled experiment. As a known medicinal and ornamental plant, B. ceiba grows mainly in hot-dry monsoon rainforests in Southeast Asia and Australia. Due to the specific growth environment, it has evolved a unique system that enables a physiologic response to drought stress. To date, few studies have characterized the genome-wide features of drought endurance in B. ceiba. In this study, we first attempted to characterize and identify the most differentially expressed genes and associated functional pathways under drought treatment and normal condition. Using RNA-seq technology, we generated the first transcriptome of B. ceiba and identified 59 differentially expressed genes with greater than 1,000-fold changes under two conditions. The set of upregulated genes implicates interplay among various pathways: plants growth, ubiquitin-mediated proteolysis, polysaccharides hydrolyzation, oxidative phosphorylation and photosynthesis, etc. In contrast, genes associated with stem growth, cell division, fruit ripening senescence, disease resistance, and proline synthesis are repressed. Notably, key genes of high RPKM levels in drought are AUX1, JAZ, and psbS, which are known to regulate the growth of plants, the resistance against abiotic stress, and the photosynthesis process. Furthermore, 16,656 microsatellite markers and 3,071 single-nucleotide polymorphisms (SNPs) were predicted by in silico methods. The identification and functional annotation of differentially expressed genes, microsatellites, and SNPs represent a major step forward and would serve as a valuable resource for understanding the complexity underlying drought endurance and adaptation in B. ceiba.
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http://dx.doi.org/10.4137/EBO.S20620 | DOI Listing |
PLoS One
January 2025
Department of Biochemistry, College of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Long non-coding RNAs (lncRNAs) are among the most abundant types of non-coding RNAs in the genome and exhibit particularly high expression levels in the brain, where they play crucial roles in various neurophysiological and neuropathological processes. Although ischemic stroke is a complex multifactorial disease, the involvement of brain-derived lncRNAs in its intricate regulatory networks remains inadequately understood. In this study, we established a cerebral ischemia-reperfusion injury model using middle cerebral artery occlusion (MCAO) in male Sprague-Dawley rats.
View Article and Find Full Text PDFJ Int Soc Sports Nutr
December 2025
Jiujiang No.1 People's Hospital, Department of Orthopedics, Jiujiang City Key Laboratory of Cell Therapy, Jiujiang, China.
Objective: The aim of this study was to identify the key regulatory mechanisms of cartilage injury and osteoporosis through bioinformatics methods, and to provide a new theoretical basis and molecular targets for the diagnosis and treatment of the disease.
Methods: Microarray data for cartilage injury (GSE129147) and osteoporosis (GSE230665) were first downloaded from the GEO database. Differential expression analysis was applied to identify genes that were significantly up-or down-regulated in the cartilage injury and osteoporosis samples.
Brief Bioinform
November 2024
Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
College of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
QTL mapping of two RIL populations in multiple environments revealed a consistent QTL for bristle length, and combined with RNA-seq, a potential candidate gene influencing bristle length was identified. Foxtail millet bristles play a vital role in increasing yields and preventing bird damage. However, there is currently limited research on the molecular regulatory mechanisms underlying foxtail millet bristle formation, which constrains the genetic improvement and breeding of new foxtail millet varieties.
View Article and Find Full Text PDFArch Microbiol
January 2025
Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, SE 106 91, Sweden.
Bacteria experience a continual array of environmental stresses, necessitating adaptive mechanisms crucial for their survival. Thermophilic bacteria, such as Thermus thermophilus, face constant environmental challenges, particularly high temperatures, which requires robust adaptive mechanisms for survival. Studying these extremophiles provides valuable insights into the intricate molecular and physiological processes used by extremophiles to adapt and survive in harsh environments.
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