Network Analysis of Local Gene Regulators in Arabidopsis thaliana under Spaceflight Stress

Spaceflight microgravity affects normal plant growth in several ways. The transcriptional dataset of the model organism Arabidopsis thaliana grown international space station is mined using graph-theoretic network analysis approaches to identify significant gene transcriptions essential for plant’s survival and altered environments. photosynthesis process critical plants spaceflight under different environmentally stressful conditions such as lower levels gravity, lesser oxygen availability, low atmospheric pressure, presence cosmic radiation. Lasso regression method used regulatory inferencing from expressions four ecotypes related photosynthetic process. individual behavior hub-genes stress response genes their impact on whole analyzed. Logistic centrality measures computed networks, including average shortest path, betweenness centrality, closeness eccentricity, HITS algorithm rank interactor or target networks. Through hub authority interactions, biological processes associated with carbon fixation are identified. have made all sensitive dehydration-and-salt stress. oxidative heat-shock stress-response regulate that involved oxidation-reduction microgravity, enabling adapt successfully environment.