首页|Chinese Academy of Agricultural Sciences Reports Findings in Machine Learning (E xploring salt tolerance mechanisms using machine learning for transcriptomic ins ights: case study in Spartina alterniflora)
Chinese Academy of Agricultural Sciences Reports Findings in Machine Learning (E xploring salt tolerance mechanisms using machine learning for transcriptomic ins ights: case study in Spartina alterniflora)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Salt stress poses a significant threat to global cereal crop production, emphasizing the ne ed for a comprehensive understanding of salt tolerance mechanisms. Accurate func tional annotations of differentially expressed genes are crucial for gaining ins ights into the salt tolerance mechanism.” Our news editors obtained a quote from the research from the Chinese Academy of Agricultural Sciences, “The challenge of predicting gene functions in under-stud ied species, especially when excluding infrequent GO terms, persists. Therefore, we proposed the use of NetGO 3.0, a machine learning-based annotation method th at does not rely on homology information between species, to predict the functio ns of differentially expressed genes under salt stress. , a halophyte with salt glands, exhibits remarkable salt tolerance, making it an excellent candidate for in-depth transcriptomic analysis. However, current research on the transcriptom e under salt stress is limited. In this study we used as an example to investiga te its transcriptional responses to various salt concentrations, with a focus on understanding its salt tolerance mechanisms. Transcriptomic analysis revealed s ubstantial changes impacting key pathways, such as gene transcription, ion trans port, and ROS metabolism. Notably, we identified a member of the gene family in , showing convergent selection with the rice ortholog. Additionally, our genome- wide analyses explored alternative splicing responses to salt stress, providing insights into the parallel functions of alternative splicing and transcriptional regulation in enhancing salt tolerance in. Surprisingly, there was minimal over lap between differentially expressed and differentially spliced genes following salt exposure.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesGeneticsMachine Learning
NETL
NSTL
