Evidence map›Paper›PMID 36993177›Full record

ArticlebioRxiv : the preprint server for biology2023

Growth-dependent gene expression variation influences the strength of codon usage biases.

Mackenzie M Johnson, Adam J Hockenberry, Matthew J McGuffie, Luiz Carlos Vieira, Claus O Wilke

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Mackenzie M JohnsonDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America.
Adam J HockenberryDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America.
Matthew J McGuffieDepartment of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, United States of America.
Luiz Carlos VieiraDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America.
Claus O WilkeDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, United States of America.
The University of Texas at Austin · US

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
The Role of Fluctuating Environmental Conditions in the Evolution of Bacterial Growth ControlF32GM130113 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI HOCKENBERRY, ADAM JOHN · 2019 to 2020
$123k
NIGMS NIH HHS F32 GM130113NIGMS NIH HHS R01 GM088344
6 · The paper itself

Abstract

The most highly expressed genes in microbial genomes tend to use a limited set of synonymous codons, often referred to as "preferred codons." The existence of preferred codons is commonly attributed to selection pressures on various aspects of protein translation including accuracy and/or speed. However, gene expression is condition-dependent and even within single-celled organisms transcript and protein abundances can vary depending on a variety of environmental and other factors. Here, we show that growth rate-dependent expression variation is an important constraint that significantly influences the evolution of gene sequences. Using large-scale transcriptomic and proteomic data sets in Escherichia coli and Saccharomyces cerevisiae, we confirm that codon usage biases are strongly associated with gene expression but highlight that this relationship is most pronounced when gene expression measurements are taken during rapid growth conditions. Specifically, genes whose relative expression increases during periods of rapid growth have stronger codon usage biases than comparably expressed genes whose expression decreases during rapid growth conditions. These findings highlight that gene expression measured in any particular condition tells only part of the story regarding the forces shaping the evolution of microbial gene sequences. More generally, our results imply that microbial physiology during rapid growth is critical for explaining long-term translational constraints.

Identifiers

PMID36993177
PMCPMC10055066
OpenAlexW4324347070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.