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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Transcriptome profiling analysis of tea plant (Camellia sinensis) using Oxford Nanopore long-read RNA-Seq technology
Fen Wang1, Zhi Chen1, Huimin Pei1
1The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Abstract:
Transcriptome profiles have been widely captured using short-read sequencing technology, but there are still limitations partially due to the read length. Here, we generated long reads using Oxford Nanopore PromethION™ technology and short reads using the Illumina sequencing platform to study the transcriptome of root, stem, and leaf of Camellia sinensis cv. Fudingdabai. We mapped the Nanopore reads to the Shuchazao of C. sinensis genome sequence, and the mapping rates ranged from 82.63% to 90.59% (average 86.44%); this is lower than that of the Illumina reads which was 87.83% to 91.14% (average 90.12%). Gene expression level was quantified using the Nanopore and Illumina data and we observed a good agreement. The same tea leaf flavor synthesis pathways were highlighted using both sequencing technologies when analyzing the differentially expressed genes between leaf and root. Alternative splicing was then analyzed, and the intron-retention was observed as the most common alternative splicing. Moreover Nanopore long reads could correct transcript isoform annotation for differential expression investigation purposes. Nanopore sequencing techniques can provide a novel reference basis for molecular analysis of tea plants.
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