Brady Siobhan M, Provart Nicholas J
Section of Plant Biology and Genome Center, University of California, Davis, California 95616, USA.
Plant Cell. 2009 Apr;21(4):1034-51. doi: 10.1105/tpc.109.066050. Epub 2009 Apr 28.
The approaching end of the 21st century's first decade marks an exciting time for plant biology. Several National Science Foundation Arabidopsis 2010 Projects will conclude, and whether or not the stated goal of the National Science Foundation 2010 Program-to determine the function of 25,000 Arabidopsis genes by 2010-is reached, these projects and others in a similar vein, such as those performed by the AtGenExpress Consortium and various plant genome sequencing initiatives, have generated important and unprecedented large-scale data sets. While providing significant biological insights for the individual laboratories that generated them, these data sets, in conjunction with the appropriate tools, are also permitting plant biologists worldwide to gain new insights into their own biological systems of interest, often at a mouse click through a Web browser. This review provides an overview of several such genomic, epigenomic, transcriptomic, proteomic, and metabolomic data sets and describes Web-based tools for querying them in the context of hypothesis generation for plant biology. We provide five biological examples of how such tools and data sets have been used to provide biological insight.
21世纪第一个十年即将结束，这对植物生物学来说是一个令人兴奋的时期。美国国家科学基金会的几个拟南芥2010项目即将结束，无论美国国家科学基金会2010计划的既定目标——到2010年确定25000个拟南芥基因的功能——是否能够实现，这些项目以及其他类似项目，比如由AtGenExpress联盟和各种植物基因组测序计划所开展的项目，都已经产生了重要且前所未有的大规模数据集。这些数据集不仅为产生它们的各个实验室提供了重要的生物学见解，而且结合适当的工具，也使全球的植物生物学家能够常常通过网络浏览器点击鼠标，就对自己感兴趣的生物系统获得新的见解。本综述概述了若干此类基因组、表观基因组、转录组、蛋白质组和代谢组数据集，并介绍了在植物生物学假设生成背景下查询这些数据集的基于网络的工具。我们提供了五个生物学实例，说明此类工具和数据集是如何被用于提供生物学见解的。
