New insights into Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs

Author:

Zhang Shoudong1ORCID,Li Runsheng23ORCID,Zhang Li1,Chen Shengjie1,Xie Min1,Yang Liu1,Xia Yiji24,Foyer Christine H5,Zhao Zhongying2ORCID,Lam Hon-Ming1ORCID

Affiliation:

1. School of Life Sciences and Center for Soybean Research of the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region

2. Department of Biology, Faculty of Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong Special Administrative Region

3. Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong

4. The State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region

5. School of Biosciences College of Life and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK

Abstract

Abstract Arabidopsis thaliana transcriptomes have been extensively studied and characterized under different conditions. However, most of the current ‘RNA-sequencing’ technologies produce a relatively short read length and demand a reverse-transcription step, preventing effective characterization of transcriptome complexity. Here, we performed Direct RNA Sequencing (DRS) using the latest Oxford Nanopore Technology (ONT) with exceptional read length. We demonstrate that the complexity of the A. thaliana transcriptomes has been substantially under-estimated. The ONT direct RNA sequencing identified novel transcript isoforms at both the vegetative (14-day old seedlings, stage 1.04) and reproductive stages (stage 6.00–6.10) of development. Using in-house software called TrackCluster, we determined alternative transcription initiation (ATI), alternative polyadenylation (APA), alternative splicing (AS), and fusion transcripts. More than 38 500 novel transcript isoforms were identified, including six categories of fusion-transcripts that may result from differential RNA processing mechanisms. Aided by the Tombo algorithm, we found an enrichment of m5C modifications in the mobile mRNAs, consistent with a recent finding that m5C modification in mRNAs is crucial for their long-distance movement. In summary, ONT DRS offers an advantage in the identification and functional characterization of novel RNA isoforms and RNA base modifications, significantly improving annotation of the A. thaliana genome.

Funder

Hong Kong Research Grants Council Area of Excellence Scheme

Lo Kwee-Seong Biomedical Research

Hong Kong Research Grant Council General Research Funds

HKBU

Interdisciplinary Research Clusters Matching Scheme

CUHK

Publisher

Oxford University Press (OUP)

Subject

Genetics

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