Analysis of bacterial transcriptome and epitranscriptome using nanopore direct RNA sequencing

Author:

Tan Lu1ORCID,Guo Zhihao1ORCID,Shao Yanwen1ORCID,Ye Lianwei1,Wang Miaomiao1,Deng Xin23ORCID,Chen Sheng4,Li Runsheng513ORCID

Affiliation:

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

2. Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong , Hong Kong, China

3. Tung Biomedical Sciences Centre, City University of Hong Kong , Hong Kong, China

4. State Key Lab of Chemical Biology and Drug Discovery and Department of Food Science and Nutrition, The Hong Kong Polytechnic University , Hong Kong , China

5. Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute , Shenzhen, 518057, China

Abstract

Abstract Bacterial gene expression is a complex process involving extensive regulatory mechanisms. Along with growing interests in this field, Nanopore Direct RNA Sequencing (DRS) provides a promising platform for rapid and comprehensive characterization of bacterial RNA biology. However, the DRS of bacterial RNA is currently deficient in the yield of mRNA-mapping reads and has yet to be exploited for transcriptome-wide RNA modification mapping. Here, we showed that pre-processing of bacterial total RNA (size selection followed by ribosomal RNA depletion and polyadenylation) guaranteed high throughputs of sequencing data and considerably increased the amount of mRNA reads. This way, complex transcriptome architectures were reconstructed for Escherichia coli and Staphylococcus aureus and extended the boundaries of 225 known E. coli operons and 89 defined S. aureus operons. Utilizing unmodified in vitro-transcribed (IVT) RNA libraries as a negative control, several Nanopore-based computational tools globally detected putative modification sites in the E. coli and S. aureus transcriptomes. Combined with Next-Generation Sequencing-based N6-methyladenosine (m6A) detection methods, 75 high-confidence m6A candidates were identified in the E. coli protein-coding transcripts, while none were detected in S. aureus. Altogether, we demonstrated the potential of Nanopore DRS in systematic and convenient transcriptome and epitranscriptome analysis.

Funder

Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project

Hong Kong Research

Hong Kong Health and Medical Research Fund

Publisher

Oxford University Press (OUP)

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