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Series GSE227624 Query DataSets for GSE227624
Status Public on Aug 07, 2023
Title The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions
Organism Escherichia coli K-12
Experiment type Expression profiling by high throughput sequencing
Summary Fit phenotypes are achieved through optimal transcriptomic allocation. Here, we performed a high-resolution, multi-scale study of the transcriptomic tradeoff between two key fitness phenotypes, stress response (fear) and growth (greed), in Escherichia coli. We introduced 12 RNA polymerase (RNAP) mutations commonly acquired during adaptive laboratory evolution (ALE) and found that single mutations could result in large shifts in this fear vs. greed tradeoff likely through destabilizing the rpoB-rpoC interface. RpoS and GAD regulons drive the fear response while ribosomal proteins and the ppGpp regulon underlie greed. Growth rate selection pressure during ALE results in endpoint strains that universally have RNAP mutations, with synergistic mutations reflective of particular conditions. A phylogenetic analysis found the tradeoff in numerous bacteria species and one archaea species. The results suggest that the tradeoff represents a general principle of transcriptome allocation in bacteria where small genetic changes can result in large phenotypic adaptations to growth conditions.
 
Overall design RNA-sequencing of RNAP single mutation strains using Qiagen RNA-protect bacteria reagant, Zymo Rsearch Quick-RNA MicroPrep Kit and Kapa Biosystems RNA HyperPrep
 
Contributor(s) Dalldorf C, Rychel K, Szubin R, Hefner Y, Patel A, Zielinski D, Palsson B
Citation(s) 37090546
Submission date Mar 17, 2023
Last update date Aug 07, 2023
Contact name Christopher Dalldorf
E-mail(s) cdalldor@eng.ucsd.edu
Organization name UCSD
Department Bioengineering
Lab SBRG, Palsson
Street address 9500 Gilman Dr
City La Jolla
State/province CA
ZIP/Postal code 92093
Country USA
 
Platforms (1)
GPL26856 Illumina NovaSeq 6000 (Escherichia coli K-12)
Samples (38)
GSM7104227 wt M9 R1
GSM7104228 wt M9 R2
GSM7104229 rpoB R200P M9 R1
Relations
BioProject PRJNA945925

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE227624_counts.csv.gz 257.2 Kb (ftp)(http) CSV
GSE227624_log_tpm.csv.gz 1.3 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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