bioRxivGenomicsPreprint
A comparative transcriptional landscape of two castor cultivars obtained by single-molecule sequencing comparative analysis
Wei ZhouiD, Yaxing ZhouiD, Guoli ZhuiD, Yun WangiD, Zhibiao He, Zhensheng ShiiD
Abstract
Background and ObjectivesCastor (Ricinus communis L.) is an important non-edible oilseed crop. Lm type female strains and normal amphiprotic strains are important castor cultivars, and are mainly different in inflorescence structures and leaf shapes. To better understand the mechanisums underling these differences at the molecular level, we performed comparative transcriptional analysis. Materials and MethodsFull-length transcriptome sequencing and short-read RNA sequencing were employed. ResultsA total of 76,068 and 44,223 non-redundant transcripts were obtained from high-quality transcripts of Lm type female strains and normal amphiprotic strains, respectively. In Lm female strain and normal amphiprotic strains 51,613 and 20,152 alternative splicing events were found, respectively. There were 13,239 transcription factors identified from the full-length transcriptomes. Comparative analysis showed great different gene expression of common and unique transcription factors between the two cultivars. Meanwhile, functional analysis of isoform was conducted. Full-length sequences were used as a reference genome, and short-read RNA sequencing analysis was performed to conduct differential gene analysis. Furthermore, the function of DEGs were performed to annotation analysis. ConclusionsThe results revealed considerable difference and expression diversity between two cultivars, well beyond what was reported in previous studies, likely reflecting the differences in architecture between these two cultivars. HighlightUsing the full-length transcriptome sequencing technology, we performed comparative analysis of transcription factors of two castor cultivars, analyzed alternative splicing events, and identified their lncRNAs.
- organism: plant (other)
- assay: long-read sequencing
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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