Transcriptomic Data Meta-Analysis Sheds Light on High Light Response in Arabidopsis thaliana L.

ABSTRACT: The availability and intensity of sunlight are among the major factors of growth, development and metabolism in plants. However, excessive illumination disrupts the electronic balance of photosystems and leads to the accumulation of reactive oxygen species in chloroplasts, further mediating several regulatory mechanisms at the subcellular, genetic, and molecular levels. We carried out a comprehensive bioinformatic analysis that aimed to identify genetic systems and candidate transcription factors involved in the response to high light stress in Arabidopsis thaliana L. using resources GEO NCBI, string-db, ShinyGO, STREME, and Tomtom, as well as programs metaRE, CisCross, and Cytoscape. Through the meta-analysis of five transcriptomic experiments, we selected a set of 1151 differentia

SUBMITTER: Bobrovskikh AV 

PROVIDER: S-EPMC9026532 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature