Department of Plant Biology, Cornell University Ithaca, NY, USA.
Front Plant Sci. 2013 Apr 1;4:66. doi: 10.3389/fpls.2013.00066. eCollection 2013.
Next generation DNA sequencing technologies are driving increasingly rapid, affordable and high resolution analyses of plant transcriptomes through sequencing of their associated cDNA (complementary DNA) populations; an analytical platform commonly referred to as RNA-sequencing (RNA-seq). Since entering the arena of whole genome profiling technologies only a few years ago, RNA-seq has proven itself to be a powerful tool with a remarkably diverse range of applications, from detailed studies of biological processes at the cell type-specific level, to providing insights into fundamental questions in plant biology on an evolutionary time scale. Applications include generating genomic data for heretofore unsequenced species, thus expanding the boundaries of what had been considered "model organisms," elucidating structural and regulatory gene networks, revealing how plants respond to developmental cues and their environment, allowing a better understanding of the relationships between genes and their products, and uniting the "omics" fields of transcriptomics, proteomics, and metabolomics into a now common systems biology paradigm. We provide an overview of the breadth of such studies and summarize the range of RNA-seq protocols that have been developed to address questions spanning cell type-specific-based transcriptomics, transcript secondary structure and gene mapping.
下一代 DNA 测序技术通过对相关 cDNA(互补 DNA)群体进行测序,推动了对植物转录组的越来越快速、经济实惠且高分辨率的分析;这是一种通常被称为 RNA 测序(RNA-seq)的分析平台。自从几年前进入全基因组分析技术领域以来,RNA-seq 已经证明了自己是一种强大的工具,具有非常多样化的应用,从细胞类型特异性水平的详细生物过程研究,到在进化时间尺度上为植物生物学中的基本问题提供见解。应用包括为迄今未测序的物种生成基因组数据,从而扩展了以前被认为是“模式生物”的范围,阐明结构和调控基因网络,揭示植物如何响应发育线索和环境,从而更好地理解基因与其产物之间的关系,并将转录组学、蛋白质组学和代谢组学的“组学”领域统一到现在常见的系统生物学范例中。我们概述了此类研究的广泛范围,并总结了已经开发的一系列 RNA-seq 方案,以解决从基于细胞类型的转录组学、转录二级结构和基因映射的问题。