Abstract

Plants require light for carbon fixation in photosynthesis and activate a suite of signal-transducing photoreceptors that regulate plant development, ranging from seed germination to flowering and fruiting. Light perception by these photoreceptors triggers massive alterations of gene expression patterns and alternative splicing (AS) of many genes in plants. RNA sequencing (RNA-seq) is a powerful tool to study the full-length transcriptomes and AS of many model organisms, including the moss Physcomitrium patens. RNA-Seq has been applied successfully in transcriptome profiling of plants' developmental processes and responses to various environmental perturbations. Studies using this method provide valuable insights into the genetic networks of plants. Here we describe the use of a high-throughput Illumina sequencing system together with bioinformatics analysis software for transcriptome and AS analysis of Physcomitrium patens in response to red light (RL).

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