Evidence map›Paper›PMID 41629321›Full record

ArticleNature communications2026

Engineering plasmids with synthetic origins of replication.

Baiyang Liu, Zhi Ren Darren Seet, Xiao Peng, Matthew R Bennett, Matthew R Lakin, James Chappell

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Baiyang LiuGraduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, 77005, TX, USA.
Zhi Ren Darren SeetGraduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, 77005, TX, USA.ORCID http://orcid.org/0009-0008-0104-4597
Xiao PengGraduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, 77005, TX, USA.ORCID http://orcid.org/0000-0001-5111-1673
Matthew R BennettDepartment of Biosciences, Rice University, Houston, 77005, TX, USA.
Matthew R LakinDepartment of Computer Science, University of New Mexico, Albuquerque, 87131, NM, USA.ORCID http://orcid.org/0000-0002-8516-4789
James ChappellDepartment of Biosciences, Rice University, Houston, 77005, TX, USA. jc125@rice.edu.ORCID http://orcid.org/0000-0001-7367-1524

Funding

Dynamics and pattern formation in differentiating cellular populationsR01GM144959 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R. · 2021 to 2024
$1.2M
National Science Foundation (NSF) 2124308National Science Foundation (NSF) 2237512NIGMS NIH HHS R01 GM144959U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM144959Welch Foundation A24-0270-001
6 · The paper itself

Abstract

Plasmids remain by far the most common medium for delivering engineered DNA to microorganisms. However, the reliance on natural plasmid replication mechanisms limits their tunability, compatibility, and modularity. Here we refactored the natural pMB1 origin and created plasmids with customizable copy numbers by tuning refactored components. We then created compatible origins that use synthetic RNA regulators to implement independent copy control. We further demonstrated that the synthetic origin of replication (SynORI) can be engineered modularly to respond to various signals, allowing for multiplexed copy-based reporting of environmental signals. Lastly, a library of 6 compatible SynORI plasmids was created and co-maintained in E. coli for a week. This work establishes the feasibility of creating plasmids with SynORI that can serve as a biotechnology for synthetic biology.

Indexed as

DNA ReplicationGenetic EngineeringPlasmidsReplication OriginEscherichia coliSynthetic Biology

Identifiers

PMID41629321
PMCPMC12966454

What OpenQuestion holds

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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.