Martínez-Gómez Pedro, Crisosto Carlos H, Bonghi Claudio, Rubio Manuel
Department of Plant Breeding, CEBAS-CSIC, PO Box 164, 30100 Espinardo, Murcia, Spain.
Genetica. 2011 Jun;139(6):755-69. doi: 10.1007/s10709-011-9580-2. Epub 2011 May 17.
The recent sequencing of the complete genome of the peach offers new opportunities for further transcriptomic studies in Prunus species in the called post-genomics era. First works on transcriptome analysis in Prunus species started in the early 2000s with the development of ESTs (expressed sequence tags) and the analysis of several candidate genes. Later, new strategies of massive analysis (high throughput) of transcriptomes have been applied, producing larger amounts of data in terms of expression of a large number of genes in a single experiment. One of these systems is massive transcriptome analysis using cDNA biochips (microarrays) to analyze thousands of genes by hybridization of mRNA labelled with fluorescence. However, the recent emergence of a massive sequencing methodology ("deep-sequencing") of the transcriptome (RNA-Seq), based on lowering the costs of DNA (in this cases complementary, cDNA) sequencing, could be more suitable than the application of microarrays. Recent papers have described the tremendous power of this technology, both in terms of profiling coverage and quantitative accuracy in transcriptomic studies. Now this technology is being applied to plant species, including Prunus. In this work, we analyze the potential in using this RNA-Seq technology in the study of Prunus transcriptomes and the development of genomic tools. In addition, the strengths and limitations of RNA-Seq relative to microarray profiling have been discussed.
桃树全基因组的最新测序为李属物种在所谓的后基因组时代进行进一步的转录组学研究提供了新机遇。李属物种转录组分析的首批工作始于21世纪初,当时开展了EST(表达序列标签)开发以及几个候选基因的分析。后来,转录组大规模分析(高通量)的新策略得到应用,在单个实验中就大量基因的表达而言产生了更多数据。其中一个系统是使用cDNA生物芯片(微阵列)进行大规模转录组分析,通过与荧光标记的mRNA杂交来分析数千个基因。然而,基于降低DNA(在此情况下为互补的cDNA)测序成本的转录组大规模测序方法(“深度测序”,即RNA-Seq)的出现,可能比微阵列应用更合适。近期的论文描述了这项技术在转录组学研究中的强大功能,无论是在分析覆盖范围还是定量准确性方面。现在这项技术正在应用于包括李属在内的植物物种。在本研究中,我们分析了使用这种RNA-Seq技术研究李属转录组和开发基因组工具的潜力。此外,还讨论了RNA-Seq相对于微阵列分析的优势和局限性。