Transcriptomics

Dataset Information

0

The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions


ABSTRACT: 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.

ORGANISM(S): Escherichia coli K-12

PROVIDER: GSE227624 | GEO | 2023/08/07

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-04-28 | GSE59377 | GEO
2010-04-12 | E-GEOD-15500 | biostudies-arrayexpress
2022-01-01 | GSE182850 | GEO
2015-05-08 | E-GEOD-65338 | biostudies-arrayexpress
2022-02-21 | GSE180830 | GEO
2023-05-25 | GSE233058 | GEO
2024-09-23 | GSE271894 | GEO
2015-05-08 | GSE65338 | GEO
2021-03-11 | GSE159711 | GEO
2024-06-12 | GSE225123 | GEO