ReviewTrends in genetics : TIG2017
Arresting Evolution.
Review in Trends in genetics : TIG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- Mutation-biased adaptation is consequential even in large bacterial populations.Nature communications · 2026Article
- Cryptic phenotypic variation emerges rapidly during the adaptive evolution of a carbapenemase.Nature ecology & evolution · 2026Article
- Idiosyncratic evolvability among single-point ribosomal mutants towards multi-aminoglycoside resistance.PLoS genetics · 2025Article
- Evolution-strengthened knowledge graph enables predicting the targetability and druggability of genes.PNAS nexus · 2023Article
- Overlapping genes in natural and engineered genomes.Nature reviews. Genetics · 2022Review
- Engineering gene overlaps to sustain genetic constructs in vivo.PLoS computational biology · 2021Article
- Suppressing evolution in genetically engineered systems through repeated supplementation.Evolutionary applications · 2021Article
- The future of self-selecting and stable fermentations.Journal of industrial microbiology & biotechnology · 2020Review
- Controlling evolutionary dynamics to optimize microbial bioremediation.Evolutionary applications · 2020Article
- Chromatin Structure and Drug Resistance inJournal of fungi (Basel, Switzerland) · 2020Review
- Advances in Molecular Tools and In Vivo Models for the Study of Human Fungal Pathogenesis.Microorganisms · 2020Review
- Evolution and containment of transmissible recombinant vector vaccines.Evolutionary applications · 2019Article
- The Synthetic Microbiology Caucus: from abstract ideas to turning microbes into cellular machines and back.Microbial biotechnology · 2019Article
- CRISPR-interference-based modulation of mobile genetic elements in bacteria.Synthetic biology (Oxford, England) · 2019Article
- Development of a multi-locus CRISPR gene drive system in budding yeast.Scientific reports · 2018Article
- Directed evolution of Escherichia coli with lower-than-natural plasmid mutation rates.Nucleic acids research · 2018Article
- Innovation in an E. coli evolution experiment is contingent on maintaining adaptive potential until competition subsides.PLoS genetics · 2018Article
- Synthetic addiction extends the productive life time of engineeredProceedings of the National Academy of Sciences of the United States of America · 2018Article
- Biochemical mechanisms determine the functional compatibility of heterologous genes.Nature communications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Evolution in the form of selective breeding has long been harnessed as a useful tool by humans. However, rapid evolution can also be a danger to our health and a stumbling block for biotechnology. Unwanted evolution can underlie the emergence of drug and pesticide resistance, cancer, and weeds. It makes live vaccines and engineered cells inherently unreliable and unpredictable, and therefore potentially unsafe. Yet, there are strategies that have been and can possibly be used to stop or slow many types of evolution. We review and classify existing population genetics-inspired methods for arresting evolution. Then, we discuss how genome editing techniques enable a radically new set of approaches to limit evolution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.