Abstract

Recent findings regarding nicotinamide adenine dinucleotide (NAD+)-capped RNAs (NAD-RNAs) indicate that prokaryotes and eukaryotes employ noncanonical RNA capping to regulate gene expression. Two methods for transcriptome-wide analysis of NAD-RNAs, NAD captureSeq and NAD tagSeq, are based on copper-catalyzed azide-alkyne cycloaddition (CuAAC) click chemistry to label NAD-RNAs. However, copper ions can fragment/degrade RNA, interfering with the analyses. Here we report development of NAD tagSeq II, which uses copper-free, strain-promoted azide-alkyne cycloaddition (SPAAC) for labeling NAD-RNAs, followed by identification of tagged RNA by single-molecule direct RNA sequencing. We used this method to compare NAD-RNA and total transcript profiles of Escherichia coli cells in the exponential and stationary phases. We identified hundreds of NAD-RNA species in E. coli and revealed genome-wide alterations of NAD-RNA profiles in the different growth phases. Although no or few NAD-RNAs were detected from some of the most highly expressed genes, the transcripts of some genes were found to be primarily NAD-RNAs. Our study suggests that NAD-RNAs play roles in linking nutrient cues with gene regulation in E. coli.

Highlights

  • Recent findings regarding nicotinamide adenine dinucleotide (NAD+)-capped RNAs (NAD-RNAs) indicate that prokaryotes and eukaryotes employ noncanonical RNA capping to regulate gene expression

  • We developed the NAD tagSeq II method for transcriptome-wide NAD-RNA analysis based on copper-free, strain-promoted azide-alkyne cycloaddition (SPAAC) click chemistry

  • The NAD captureSeq and NAD tagSeq methods used for genome-wide analysis of NAD-RNAs rely on CuAAC click chemistry for bioconjugation [7, 14]

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Summary

Results

Tagging could lead to the low level labeling of m7G-RNA, the m7GpppA-RNA was subjected to ADPRC-catalyzed reaction in the presence of 4-pentyn-1-ol followed by conjugation with biotin-PEG3-azide through CuAAC. We replaced CuAAC in the NAD tagSeq method with SPAAC-based tagging for transcriptome-wide analysis of cellular NAD-RNAs in E. coli. A total of 611 of 1.22 million sequencing reads (0.05%) from CuAAC tagging and 4,760 of 0.97 million reads (0.49%) from SPAAC tagging were identified as NAD-RNA reads, respectively (Datasets S1 and S2). Among the ADPRC+ samples, 3,988 of the 1,430,562 reads (0.28%) from the exponential phase cells and 11,795 of the 1,982,114 reads (0.6%) from the stationary phase cells were identified as NAD-RNA reads (Fig. 4A and Dataset S2). The highest ratios of NAD-RNAs/total transcripts were produced from three sib genes, with 71% (sibD), A4

D GO enrichment-exponential phase
Discussion
Materials and Methods
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