University of Alberta, Department of Biological Sciences, Edmonton, Canada.
Plant Cell Environ. 2010 Apr;33(4):648-54. doi: 10.1111/j.1365-3040.2009.02092.x. Epub 2009 Nov 25.
More than 100 different studies of plant transcriptomic responses to salinity or drought-related stress have now been published. Most of these use microarrays or related high-throughput profiling technologies. This compels us to ask three questions in review: (1) what has transcriptomics contributed to our understanding of stress physiology; (2) what limits the ability of transcriptomics to contribute to increases in stress tolerance; and (3) given these limits, what are the most appropriate uses of transcriptomics? We conclude that although microarrays are now a mature technology that accurately describes the transcriptome, the consistently low correlation between transcript abundance and other measures of gene expression imposes an inherent limitation that cannot be ignored. Further limitations on the relevance of transcriptomics arise in some cases from experimental practices related to the treatment regimen and the selection of tissue or germplasm. Nevertheless, there is good evidence to support the continued use of transcriptomics, especially emerging techniques such as RNA-Seq, as a screening tool for candidate gene discovery. Microarrays can also be valuable in analysing the transcriptome per se (e.g. when describing the phenotype of a transcription factor mutant or discovering non-coding RNA species), and when integrated with other types of data including metabolomic analyses.
目前已经发表了超过 100 项关于植物转录组对应激(如盐度或干旱)反应的研究。这些研究大多使用微阵列或相关的高通量分析技术。这使我们在综述中提出了三个问题:(1)转录组学对我们理解应激生理学有何贡献;(2)转录组学在提高应激耐受性方面的能力受到哪些限制;(3)鉴于这些限制,转录组学最适当的用途是什么?我们的结论是,尽管微阵列现在是一种成熟的技术,可以准确描述转录组,但转录丰度与其他基因表达衡量标准之间始终存在低相关性,这一固有限制不容忽视。在某些情况下,与处理方案和组织或种质选择相关的实验实践进一步限制了转录组学的相关性。然而,有充分的证据支持继续使用转录组学,尤其是新兴技术,如 RNA-Seq,作为候选基因发现的筛选工具。微阵列本身也可以用于分析转录组(例如,在描述转录因子突变体的表型或发现非编码 RNA 种类时),并且在与包括代谢组学分析在内的其他类型的数据集成时也很有价值。