Evaluating epigenetic and transcriptomic adaptations to climate change in Brasicca napus (oilseed rape)

本研究的目的是从系统水平上了解热胁迫对B产量的影响。英国特有品种的欧洲油菜。这种系统生物学方法将通过监测DNAm和全球转录组谱与热胁迫导致的油菜代谢分析相结合来实现。该项目的主要目标是：1。研究了热胁迫对两个英国种植的品系B开花前后授粉育性和种子质量的影响。napus 2.鉴定B中DNAm的位点特异性修饰和潜在的基因组印记。油菜基因组对热胁迫敏感3.利用RNA-Seq技术进行转录组分析，以确定热胁迫下差异表达的关键基因.通过利用目标2&3的发现建立基因调控网络，整合表观遗传分析和相应的基因表达，以评估表观遗传对授粉育性和种子质量指标的调节作用.开发一个机器学习模型，预测未来热胁迫对授粉生育力和种子质量的影响。使用决策树模型，将评估甲基化位点与基因表达之间的相关性。接下来，地点将被馈送到决策树作为输入，以便按重要性顺序对这些进行排序，并最终估计代谢谱和表型性状（即授粉生育力和种子质量）作为输出变量。

The aim of this project is to provide a systems-level molecular and metabolic understanding of the impact of heat stress on yield of B. napus for UK-specific varieties. Such a systems biology approach will be achieved through monitoring DNAm and global transcriptome profiling in tandem with metabolic analysis of oilseed rape as a result of heat stress. The main objectives of the project are:1. Investigating the effect of heat stress on two UK-grown lines on pollination fertility and seed quality at pre- and post-anthesis periods of B. napus.2. Identifying site-specific modification of DNAm and potential genomic imprinting in the B. napus genome susceptible to heat stress3. Performing a transcriptome profiling using RNA-Seq, to identify key differentially expressed genes as a result of heat stress.4. Integrating the epigenetic profiling and the corresponding gene expression through the development of a gene regulatory network using findings from obj.2&3, in order to assess the epigenetic mediation effect on pollination fertility and seed quality measures.5. Developing a machine learning model which will predict the future impact of heat stress on pollination fertility and seed quality. Using the decision tree models, correlation between methylation sites and gene expression will be assessed. Next, sites will be fed to the decision tree as input in order to rank these in order of importance, and ultimately estimate metabolic profiles and phenotypic traits (i.e. pollination fertility and seed quality) as output variables.