Evidence map›Paper›PMID 38330913›Full record

ArticleACS synthetic biology2024

Phenotypic Patterning through Copy Number Adaptation to Environmental Gradients.

Paige Steppe, Camilo Rey-Bedón, Shalni Kumar, Emerald Forrest, Niklas Van Der Wagt, Arnav Tayal, Lev Tsimring, Jeff Hasty

Abstract read
In one paragraph

Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paige SteppeDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0002-3447-9393
Camilo Rey-BedónMolecular Biology Section, Division of Biological Sciences, University of California San Diego, La Jolla, California 92093, United States.
Shalni KumarDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.
Emerald ForrestSynthetic Biology Institute, University of California San Diego, La Jolla, California 92093, United States.
Niklas Van Der WagtSynthetic Biology Institute, University of California San Diego, La Jolla, California 92093, United States.
Arnav TayalDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.
Lev TsimringSynthetic Biology Institute, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0003-0709-3548
Jeff HastyDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.

Funding

Design and characterization of bacterial population dynamics in solid tumor modelsR01EB030134 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, TSIMRING, LEV S · 2021 to 2024
$2.5M
Training Program in Quantitative Integrative BiologyT32GM127235 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2018 to 2022
$1.3M
NIBIB NIH HHS R01 EB030134NIGMS NIH HHS T32 GM127235
6 · The paper itself

Abstract

We recently described a paradigm for engineering bacterial adaptation using plasmids coupled to the same origin of replication. In this study, we use plasmid coupling to generate spatially separated and phenotypically distinct populations in response to heterogeneous environments. Using a custom microfluidic device, we continuously tracked engineered populations along induced gradients, enabling an in-depth analysis of the spatiotemporal dynamics of plasmid coupling. Our observations reveal a pronounced phenotypic separation within 4 h exposure to an opposing gradient of AHL and arabinose. Additionally, by modulating the burden strength balance between coupled plasmids, we demonstrate the inherent limitations and tunability of this system. Intriguingly, phenotypic separation persists for an extended time, hinting at a biophysical spatial retention mechanism reminiscent of natural speciation processes. Complementing our experimental data, mathematical models provide invaluable insights into the underlying mechanisms and guide optimization of plasmid coupling for prospective applications of environmental copy number adaptation engineering across separated domains.

Indexed as

BacteriaDNA Copy Number VariationsModels, TheoreticalPlasmidsbacterial small ecologiesmicrofluidicsmicroscopyplasmid couplingspatial patterning

Identifiers

PMID38330913
PMCPMC11048735

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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.