Evidence map›Paper›PMID 38890490›Full record

ArticleNature microbiology2024

Engineering plasmid copy number heterogeneity for dynamic microbial adaptation.

Shalni Kumar, Andrew Lezia, Jeff Hasty

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Shalni Kumar *Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA. s8kumar@ucsd.edu.ORCID http://orcid.org/0000-0002-6903-2559
Andrew Lezia *Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Jeff HastyDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.

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
National Science Foundation (NSF) DGE-2038238NIBIB NIH HHS R01 EB030134NIGMS NIH HHS T32 GM127235U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB030134U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 5T32GM127235
6 · The paper itself

Abstract

Natural microbial populations exploit phenotypic heterogeneity for survival and adaptation. However, in engineering biology, limiting the sources of variability is a major focus. Here we show that intentionally coupling distinct plasmids via shared replication mechanisms enables bacterial populations to adapt to their environment. We demonstrate that plasmid coupling of carbon-metabolizing operons facilitates copy number tuning of an essential but burdensome construct through the action of a stably maintained, non-essential plasmid. For specific cost-benefit situations, incompatible two-plasmid systems can stably persist longer than compatible ones. We also show using microfluidics that plasmid coupling of synthetic constructs generates population-state memory of previous environmental adaptation without additional regulatory control. This work should help to improve the design of synthetic populations by enabling adaptive engineered strains to function under changing growth conditions without strict fine-tuning of the genetic circuitry.

Indexed as

Adaptation, PhysiologicalEscherichia coliPlasmidsDNA Copy Number VariationsDNA ReplicationGenetic EngineeringOperon

Identifiers

PMID38890490
PMCPMC11623956

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Registered trials

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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.