Zhang et al. 2022 (PRJNA754447)

General Details

Title Global and gene-specific translational regulation in Escherichia coli across different conditions
Organism
Number of Samples 36
Release Date 2021/08/13 00:00
Sequencing Types
Protocol Details

Study Links

Repository Details

SRA SRP332494
ENA SRP332494
GEO GSE182100
BioProject PRJNA754447

Publication

Title
Authors Zhang D,Li SH,King CG,Wingreen NS,Gitai Z,Li Z
Journal PLoS computational biology
Publication Date 2022 Oct
Abstract How well mRNA transcript levels represent protein abundances has been a controversial issue. Particularly across different environments, correlations between mRNA and protein exhibit remarkable variability from gene to gene. Translational regulation is likely to be one of the key factors contributing to mismatches between mRNA level and protein abundance in bacteria. Here, we quantified genome-wide transcriptome and relative translation efficiency (RTE) under 12 different conditions in Escherichia coli. By quantifying the mRNA-RTE correlation both across genes and across conditions, we uncovered a diversity of gene-specific translational regulations, cooperating with transcriptional regulations, in response to carbon (C), nitrogen (N), and phosphate (P) limitations. Intriguingly, we found that many genes regulating translation are themselves subject to translational regulation, suggesting possible feedbacks. Furthermore, a random forest model suggests that codon usage partially predicts a gene's cross-condition variability in translation efficiency; such cross-condition variability tends to be an inherent quality of a gene, independent of the specific nutrient limitations. These findings broaden the understanding of translational regulation under different environments and provide novel strategies for the control of translation in synthetic biology. In addition, our data offers a resource for future multi-omics studies.
PMC PMC9624429
PMID 36264977
DOI
Run Accession Study Accession Scientific Name Cell Line Library Type Treatment GWIPS-viz Trips-Viz Reads BAM BigWig (F) BigWig (R)
SRR15446776 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446777 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446778 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446779 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446780 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446781 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446782 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446783 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446784 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446785 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446786 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446787 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446788 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446789 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446790 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446791 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446792 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446793 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446794 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446795 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446796 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446797 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446798 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446799 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446800 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446801 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446802 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446803 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446804 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446805 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446806 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446807 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446808 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446809 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446810 PRJNA754447 Escherichia coli Ribo-Seq
SRR15446811 PRJNA754447 Escherichia coli Ribo-Seq
Run Accession Study Accession Scientific Name Cell Line Library Type Treatment GWIPS-viz Trips-Viz Reads BAM BigWig (F) BigWig (R)

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