Abstract

RNA degradation is an important process that influences the ultimate concentration of individual proteins inside cells. While the main enzymes that facilitate this process have been identified, global maps of RNA turnover are available for only a few species. Even in these cases, there are few sequence elements that are known to enhance or destabilize a native transcript; even fewer confer the same effect when added to a heterologous transcript. To address this knowledge gap, we assayed genome-wide RNA degradation in the cyanobacterium Synechococcus sp. strain PCC 7002 by collecting total RNA samples after stopping nascent transcription with rifampin. We quantified the abundance of each position in the transcriptome as a function of time using RNA-sequencing data and later analyzed the global mRNA decay map using machine learning principles. Half-lives, calculated on a per-ORF (open reading frame) basis, were extremely short, with a median half-life of only 0.97 min. Despite extremely rapid turnover of most mRNA, transcripts encoding proteins involved in photosynthesis were both highly expressed and highly stable. Upon inspection of these stable transcripts, we identified an enriched motif in the 3' untranslated region (UTR) that had similarity to Rho-independent terminators. We built statistical models for half-life prediction and used them to systematically identify sequence motifs in both 5' and 3' UTRs that correlate with stabilized transcripts. We found that transcripts linked to a terminator containing a poly(U) tract had a longer half-life than both those without a poly(U) tract and those without a terminator.IMPORTANCE RNA degradation is an important process that affects the final concentration of individual mRNAs, affecting protein expression and cellular physiology. Studies of how RNA is degraded increase our knowledge of this fundamental process as well as enable the creation of genetic tools to manipulate RNA stability. By studying global transcript turnover, we searched for sequence elements that correlated with transcript (in)stability and used these sequences to guide tool design. This study probes global RNA turnover in a cyanobacterium, Synechococcus sp. strain PCC 7002, that both has a unique array of RNases that facilitate RNA degradation and is an industrially relevant strain that could be used to convert CO2 and sunlight into useful products.

Highlights

  • RNA degradation is an important process that influences the ultimate concentration of individual proteins inside cells

  • We found that transcripts linked to an L-shaped terminator containing a U-tract in the 3= untranslated region (UTR) had a significantly longer half-life (P ϭ 4.8 ϫ 10Ϫ13 [L versus I] and P Ͻ 2.0 ϫ 10Ϫ16 [L versus none]) than transcripts that contained an I-shaped terminator in the 3= UTR or no obvious Rho-independent terminator (Fig. 4D)

  • RNA turnover in PCC 7002 is extremely rapid with a median half-life of coding regions of 0.97 min (ϳ58 s), faster than any other report of bacterial mRNA decay

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Summary

Introduction

RNA degradation is an important process that influences the ultimate concentration of individual proteins inside cells. We calculated global RNA half-lives on a per-ORF (open reading frame) basis and examined how transcript half-life was related to cellular function and what sequence features correlated with enhanced transcript stability. From this analysis, we observed that transcripts encoding proteins involved in photosynthesis were disproportionately stable, perhaps contributing to their large steady-state abundance. Using machine learning and motif identification algorithms, we identified a conserved sequence motif similar to Rho-independent terminators in the 3= untranslated region (UTR) of these stable transcripts These findings may guide the design of future heterologous transcripts and facilitate the development of global RNA turnover models

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