Evidence map›Paper›PMID 33664781›Full record

ArticleEvolutionary applications2021

Suppressing evolution in genetically engineered systems through repeated supplementation.

Nathan C Layman, Beth M Tuschhoff, Andrew J Basinski, Christopher H Remien, James J Bull, Scott L Nuismer

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 1 institution in 1 country.

Nathan C LaymanDepartment of Biological Sciences University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0003-2238-6584
Beth M TuschhoffDepartment of Mathematics University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0003-2567-6755
Andrew J BasinskiDepartment of Mathematics University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0002-1008-1719
Christopher H RemienDepartment of Mathematics University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0003-1179-9041
James J BullDepartment of Biological Sciences University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0002-9798-8275
Scott L NuismerDepartment of Biological Sciences University of Idaho Moscow ID USA.ORCID https://orcid.org/0000-0001-9817-0056
University of Idaho · US

Funding

COLLABORATIVE RESEARCH: A MATHEMATICAL THEORY OF TRANSMISSIBLE VACCINES R01GM122079 · NIGMS · UNIVERSITY OF IDAHO · PI SCOTT L NUISMER · 2016 to 2026
$2.2M
NIGMS NIH HHS R01 GM122079
6 · The paper itself

Abstract

Genetically engineered organisms are prone to evolve in response to the engineering. This evolution is often undesirable and can negatively affect the purpose of the engineering. Methods that maintain the stability of engineered genomes are therefore critical to the successful design and use of genetically engineered organisms. One potential method to limit unwanted evolution is by taking advantage of the ability of gene flow to counter local adaption, a process of supplementation. Here, we investigate the feasibility of supplementation as a mechanism to offset the evolutionary degradation of a transgene in three model systems: a bioreactor, a gene drive, and a transmissible vaccine. In each model, continual introduction from a stock is used to balance mutation and selection against the transgene. Each system has its unique features. The bioreactor system is especially tractable and has a simple answer: The level of supplementation required to maintain the transgene at a frequency

Indexed as

bioreactorgene drivegene flowgenetic engineeringswampingtransmissible vaccine

Identifiers

PMID33664781
PMCPMC7896713
OpenAlexW3083311377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.