Plant Networks as Traits and Hypotheses: Moving Beyond Description

编号 040020504

推送时间 20190923

研究领域 森林培育 

年份 2019 

类型 期刊 

语种 英语

标题 Plant Networks as Traits and Hypotheses: Moving Beyond Description

来源期刊 Trends in Plant Science

期 第205期

发表时间 20190901

关键词 visualization;  eigengene;  network trait;  time course;  hypothesis;  causality; 

摘要 Biology relies on the central thesis that the genes in an organism encode molecular mechanisms that combine with stimuli and raw materials from the environment to create a final phenotypic expression representative of the genomic programming. While conceptually simple, the genotype-to-phenotype linkage in a eukaryotic organism relies on the interactions of thousands of genes and an environment with a potentially unknowable level of complexity. Modern biology has moved to the use of networks in systems biology to try to simplify this complexity to decode how an organism’s genome works. Previously, biological networks were basic ways to organize, simplify, and analyze data. However, recent advances are allowing networks to move beyond description and become phenotypes or hypotheses in their own right. This review discusses these efforts, like mapping responses across biological scales, including relationships among cellular entities, and the direct use of networks as traits or hypotheses.

服务人员 孙小满

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