Literature DB >> 33464822

Systematic Quantification of Sequence and Structural Determinants Controlling mRNA stability in Bacterial Operons.

Daniel P Cetnar, Howard M Salis.   

Abstract

mRNA degradation is a central process that affects all gene expression levels, and yet, the determinants that control mRNA decay rates remain poorly characterized. Here, we applied a synthetic biology, learn-by-design approach to elucidate the sequence and structural determinants that control mRNA stability in bacterial operons. We designed, constructed, and characterized 82 operons in Escherichia coli, systematically varying RNase binding site characteristics, translation initiation rates, and transcriptional terminator efficiencies in the 5' untranslated region (UTR), intergenic, and 3' UTR regions, followed by measuring their mRNA levels using reverse transcription quantitative polymerase chain reaction (RT-qPCR) assays during exponential growth. We show that introducing long single-stranded RNA into 5' UTRs reduced mRNA levels by up to 9.4-fold and that lowering translation rates reduced mRNA levels by up to 11.8-fold. We also found that RNase binding sites in intergenic regions had much lower effects on mRNA levels. Surprisingly, changing the transcriptional termination efficiency or introducing long single-stranded RNA into 3' UTRs had no effect on upstream mRNA levels. From these measurements, we developed and validated biophysical models of ribosome protection and RNase activity with excellent quantitative agreement. We also formulated design rules to rationally control a mRNA's stability, facilitating the automated design of engineered genetic systems with desired functionalities.

Entities:  

Year:  2021        PMID: 33464822     DOI: 10.1021/acssynbio.0c00471

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  11 in total

Review 1.  Membrane fatty acid desaturase: biosynthesis, mechanism, and architecture.

Authors:  Nur Farah Anis Abd Halim; Mohd Shukuri Mohamad Ali; Adam Thean Chor Leow; Raja Noor Zaliha Raja Abd Rahman
Journal:  Appl Microbiol Biotechnol       Date:  2022-09-05       Impact factor: 5.560

2.  Generating dynamic gene expression patterns without the need for regulatory circuits.

Authors:  Sahil B Shah; Alexis M Hill; Claus O Wilke; Adam J Hockenberry
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

3.  Sequence and thermodynamic characteristics of terminators revealed by FlowSeq and the discrimination of terminators strength.

Authors:  Weiji Zhai; Yanting Duan; Xiaomei Zhang; Guoqiang Xu; Hui Li; Jinsong Shi; Zhenghong Xu; Xiaojuan Zhang
Journal:  Synth Syst Biotechnol       Date:  2022-06-20

4.  Predictable control of RNA lifetime using engineered degradation-tuning RNAs.

Authors:  Qi Zhang; Duo Ma; Fuqing Wu; Kylie Standage-Beier; Xingwen Chen; Kaiyue Wu; Alexander A Green; Xiao Wang
Journal:  Nat Chem Biol       Date:  2021-06-21       Impact factor: 15.040

Review 5.  Strategies to Enhance Periplasmic Recombinant Protein Production Yields in Escherichia coli.

Authors:  Alexandros Karyolaimos; Jan-Willem de Gier
Journal:  Front Bioeng Biotechnol       Date:  2021-12-14

6.  Synthetic Biology Tool Development Advances Predictable Gene Expression in the Metabolically Versatile Soil Bacterium Rhodopseudomonas palustris.

Authors:  Cheryl M Immethun; Mark Kathol; Taity Changa; Rajib Saha
Journal:  Front Bioeng Biotechnol       Date:  2022-03-16

7.  Development of a novel platform for recombinant protein production in Corynebacterium glutamicum on ethanol.

Authors:  Xinyu Yu; Xiuxia Liu; Xiong Gao; Xunxun Luo; Yankun Yang; Ye Li; Chunli Liu; Chong Zhang; Zhonghu Bai
Journal:  Synth Syst Biotechnol       Date:  2022-03-22

8.  CRISPR-RNAa: targeted activation of translation using dCas13 fusions to translation initiation factors.

Authors:  Peter B Otoupal; Brady F Cress; Jennifer A Doudna; Joseph S Schoeniger
Journal:  Nucleic Acids Res       Date:  2022-08-11       Impact factor: 19.160

9.  Surveying the Genetic Design Space for Transcription Factor-Based Metabolite Biosensors: Synthetic Gamma-Aminobutyric Acid and Propionate Biosensors in E. coli Nissle 1917.

Authors:  Matthew Lebovich; Lauren B Andrews
Journal:  Front Bioeng Biotechnol       Date:  2022-08-25

10.  Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing.

Authors:  Matthew J Tarnowski; Thomas E Gorochowski
Journal:  Nat Commun       Date:  2022-01-21       Impact factor: 14.919

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