Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The landscape of transcriptional and translational changes over 22 years of bacterial adaptation

View ORCID ProfileJohn S. Favate, Shun Liang, View ORCID ProfileSrujana S. Yadavalli, View ORCID ProfilePremal Shah
doi: https://doi.org/10.1101/2021.01.12.426406
John S. Favate
1Department of Genetics, Rutgers University, Piscataway NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for John S. Favate
  • For correspondence: premal.shah@rutgers.edu john.favate@rutgers.edu
Shun Liang
1Department of Genetics, Rutgers University, Piscataway NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Srujana S. Yadavalli
1Department of Genetics, Rutgers University, Piscataway NJ, USA
3Waksman Institute, Rutgers University, Piscataway NJ USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Srujana S. Yadavalli
Premal Shah
1Department of Genetics, Rutgers University, Piscataway NJ, USA
2Human Genetics Institute of New Jersey, Rutgers University, Piscataway NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Premal Shah
  • For correspondence: premal.shah@rutgers.edu john.favate@rutgers.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Organisms can adapt to an environment by taking multiple mutational paths. This redundancy at the genetic level, where many mutations have similar phenotypic and fitness effects, can make untangling the molecular mechanisms of complex adaptations difficult. Here we use the E. coli long-term evolution experiment (LTEE) as a model to address this challenge. To bridge the gap between disparate genomic changes and parallel fitness gains, we characterize the landscape of transcriptional and translational changes across 11 replicate populations evolving in parallel for 50,000 generations. By quantifying absolute changes in mRNA abundances, we show that not only do all evolved lines have more mRNAs but that this increase in mRNA abundance scales with cell size. We also find that despite few shared mutations at the genetic level, clones from replicate populations in the LTEE are remarkably similar to each other in their gene expression patterns at both the transcriptional and translational levels. Furthermore, we show that the bulk of the expression changes are due to changes at the transcriptional level with very few translational changes. Finally, we show how mutations in transcriptional regulators lead to consistent and parallel changes in the expression levels of downstream genes, thereby linking genomic changes to parallel fitness gains in the LTEE. These results deepen our understanding of the molecular mechanisms underlying complex adaptations and provide insights into the repeatability of evolution.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164308

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted January 13, 2021.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The landscape of transcriptional and translational changes over 22 years of bacterial adaptation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The landscape of transcriptional and translational changes over 22 years of bacterial adaptation
John S. Favate, Shun Liang, Srujana S. Yadavalli, Premal Shah
bioRxiv 2021.01.12.426406; doi: https://doi.org/10.1101/2021.01.12.426406
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The landscape of transcriptional and translational changes over 22 years of bacterial adaptation
John S. Favate, Shun Liang, Srujana S. Yadavalli, Premal Shah
bioRxiv 2021.01.12.426406; doi: https://doi.org/10.1101/2021.01.12.426406

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3518)
  • Biochemistry (7373)
  • Bioengineering (5355)
  • Bioinformatics (20349)
  • Biophysics (10058)
  • Cancer Biology (7788)
  • Cell Biology (11360)
  • Clinical Trials (138)
  • Developmental Biology (6456)
  • Ecology (9995)
  • Epidemiology (2065)
  • Evolutionary Biology (13369)
  • Genetics (9378)
  • Genomics (12624)
  • Immunology (7733)
  • Microbiology (19122)
  • Molecular Biology (7482)
  • Neuroscience (41191)
  • Paleontology (301)
  • Pathology (1236)
  • Pharmacology and Toxicology (2145)
  • Physiology (3188)
  • Plant Biology (6885)
  • Scientific Communication and Education (1277)
  • Synthetic Biology (1901)
  • Systems Biology (5332)
  • Zoology (1091)