Malbert Bastien, Rigaill Guillem, Brunaud Veronique, Lurin Claire, Delannoy Etienne
Institute of Plant Sciences Paris Saclay IPS2, CNRS, INRA, Université Paris-Sud, Université Evry, Université Paris-Saclay, Gif sur Yvette, France.
Institute of Plant Sciences Paris-Saclay IPS2, Paris Diderot, Sorbonne Paris-Cité, Gif sur Yvette, France.
Methods Mol Biol. 2018;1829:279-294. doi: 10.1007/978-1-4939-8654-5_19.
Sequencing of total RNA enables the study of the whole plant transcriptome resulting from the simultaneous expression of the three genomes of plant cells (located in the nucleus, mitochondrion and chloroplast). While commonly used for the quantification of the nuclear gene expression, this method remains complex and challenging when applied to organellar genomes and/or when used to quantify posttranscriptional RNA maturations. Here we propose a complete bioinformatical and statistical pipeline to fully characterize the differences in the chloroplast transcriptome between two conditions. Experimental design as well as bioinformatics and statistical analyses are described in order to quantify both gene expression and RNA posttranscriptional maturations, i.e., RNA splicing, editing, and processing, and identify statistically significant differences.
对总RNA进行测序能够研究植物细胞三个基因组(位于细胞核、线粒体和叶绿体中)同时表达所产生的整个植物转录组。虽然该方法通常用于定量核基因表达,但当应用于细胞器基因组和/或用于定量转录后RNA成熟时,仍然复杂且具有挑战性。在这里,我们提出了一个完整的生物信息学和统计流程,以全面表征两种条件下叶绿体转录组的差异。文中描述了实验设计以及生物信息学和统计分析,以便对基因表达和RNA转录后成熟(即RNA剪接、编辑和加工)进行定量,并识别具有统计学意义上的显著差异。