基于网络的发现:以树见林-82000种表型的冒险Network-Based Discovery: Seeing the Forest for the Trees - Adventures with 82,000 Phenotypes |
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课程网址: | http://videolectures.net/nib_jacobson_network_based_discovery/ |
主讲教师: | Daniel A Jacobson |
开课单位: | 橡树岭国家实验室 |
开课时间: | 2016-09-21 |
课程语种: | 英语 |
中文简介: | 生物有机体是由相互作用的分子和大分子组成的多效性功能网络组成的复杂系统。复杂表型是表达的基因组变异体的协调、分层、异质收集的结果。然而,这些变异的影响是历史选择压力和当前环境和表观遗传信号的结果,因此,它们的共同出现可以被视为以多种不同方式在基因组范围内的相关性。然而,由于细胞中存在许多多效性相互作用,干扰一组表型(如细胞壁)可能会影响其他核心功能,包括植物-微生物相互作用。我们使用1000多种毛果杨基因型的重新测序基因组数据,结合该群体的转录组学、代谢组学和表型组学数据,以便更好地了解顽拗性相关的分子相互作用。由此产生的全基因组关联研究网络与SNP相关性和共表达网络相结合,被证明是确定细胞功能的多效性和上位性关系以及复杂表型的分子基础的有力方法,例如顽抗,并对可能受影响的其他表型做出假设 |
课程简介: | Biological organisms are complex systems that are composed of pleiotropic functional networks of interacting molecules and macro-molecules. Complex phenotypes are the result of orchestrated, hierarchical, heterogeneous collections of expressed genomic variants. However, the effects of these variants are the result of historic selective pressure and current environmental and epigenetic signals, and, as such, their co-occurrence can be seen as genome-wide correlations in a number of different manners. However, due to the many pleiotropic interactions present in cells, perturbing one set of phenotypes, such as cell walls may well affect other core functions, including plant-microbe interactions. We are using data derived from the re-sequenced genomes from over 1000 different Populus trichocarpa genotypes in combination with transcriptomics, metabolomics and phenomics data across this population in order to better understand the molecular interactions involved in recalcitrance. The resulting Genome Wide Association Study networks, integrated with SNP correlation and co-expression networks, are proving to be a powerful approach to determine the pleiotropic and epistatic relationships underlying cellular functions and, as such, the molecular basis for complex phenotypes, such as recalcitrance and to make hypotheses about the other phenotypes that may be affected |
关 键 词: | 生物有机体; 复杂表型; 植物-微生物 |
课程来源: | 视频讲座网 |
数据采集: | 2021-12-07:nkq |
最后编审: | 2021-12-07:nkq |
阅读次数: | 54 |