Evidence map›Paper›PMID 36798398›Full record

ArticlebioRxiv : the preprint server for biology2024

Signal Integration and Adaptive Sensory Diversity Tuning in Escherichia coli Chemotaxis.

Jeremy P Moore, Keita Kamino, Rafaela Kottou, Thomas S Shimizu, Thierry Emonet

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 4 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 3 institutions in 3 countries.

Keita Kamino
Rafaela Kottou
Thomas S Shimizu
Yale University · USAcademia Sinica · TWInstitute for Atomic and Molecular Physics · NL

Funding

The contribution of phenotypic variability to chemotactic performanceR01GM106189 · NIGMS · YALE UNIVERSITY · PI EMONET, THIERRY · 2013 to 2022
$2.6M
Spontaneous Organization of Phenotypes during Collective MigrationR01GM138533 · NIGMS · YALE UNIVERSITY · PI EMONET, THIERRY · 2020 to 2023
$1.3M
NIGMS NIH HHS R01 GM106189NIGMS NIH HHS R01 GM138533
6 · The paper itself

Abstract

In uncertain environments, phenotypic diversity can be advantageous for survival. However, as the environmental uncertainty decreases, the relative advantage of having diverse phenotypes decreases. Here, we show how populations of E. coli integrate multiple chemical signals to adjust sensory diversity in response to changes in the prevalence of each ligand in the environment. Measuring kinase activity in single cells, we quantified the sensitivity distribution to various chemoattractants in different mixtures of background stimuli. We found that when ligands bind uncompetitively, the population tunes sensory diversity to each signal independently, decreasing diversity when the signal ambient concentration increases. However, amongst competitive ligands the population can only decrease sensory diversity one ligand at a time. Mathematical modeling suggests that sensory diversity tuning benefits E. coli populations by modulating how many cells are committed to tracking each signal proportionally as their prevalence changes.

Identifiers

PMID36798398
PMCPMC9934624
OpenAlexW4319724853

What OpenQuestion holds

Textmetadata
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.