Evidence map›Paper›PMID 38568420›Full record

ArticleACS synthetic biology2024

Programming Dynamic Division of Labor Using Horizontal Gene Transfer.

Grayson S Hamrick, Rohan Maddamsetti, Hye-In Son, Maggie L Wilson, Harris M Davis, Lingchong You

Open access · greenAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Grayson S HamrickDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-3149-538X
Rohan MaddamsettiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Hye-In SonDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Maggie L WilsonDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Harris M DavisCenter for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Duke University · US

Funding

University Training Program in Biomolecular and Tissue EngineeringT32GM144291 · NIGMS · DUKE UNIVERSITY · PI Charles A. Gersbach, Tatiana Segura · 2022 to 2026
$2.6M
Targeted control of self-transmissible plasmids by using engineered interfering plasmidsR01EB031869 · NIBIB · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2021 to 2024
$1.5M
NIBIB NIH HHS R01 EB031869NIGMS NIH HHS T32 GM144291
6 · The paper itself

Abstract

The metabolic engineering of microbes has broad applications, including biomanufacturing, bioprocessing, and environmental remediation. The introduction of a complex, multistep pathway often imposes a substantial metabolic burden on the host cell, restraining the accumulation of productive biomass and limiting pathway efficiency. One strategy to alleviate metabolic burden is the division of labor (DOL) in which different subpopulations carry out different parts of the pathway and work together to convert a substrate into a final product. However, the maintenance of different engineered subpopulations is challenging due to competition and convoluted interstrain population dynamics. Through modeling, we show that dynamic division of labor (DDOL), which we define as the DOL between indiscrete populations capable of dynamic and reversible interchange, can overcome these limitations and enable the robust maintenance of burdensome, multistep pathways. We propose that DDOL can be mediated by horizontal gene transfer (HGT) and use plasmid genomics to uncover evidence that DDOL is a strategy utilized by natural microbial communities. Our work suggests that bioengineers can harness HGT to stabilize synthetic metabolic pathways in microbial communities, enabling the development of robust engineered systems for deployment in a variety of contexts.

Indexed as

Microbial ConsortiaMicrobiotaGene Transfer, HorizontalGenomicsMetabolic Engineeringbiomanufacturingdivision of laborhorizontal gene transfermetabolic engineeringmicrobial consortianatural product biosynthesis

Identifiers

PMID38568420
PMCPMC12519958
OpenAlexW4393870574

What OpenQuestion holds

Textmetadata
LicenceTDM
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.