ArticleNature communications2017
Engineering species-like barriers to sexual reproduction.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 48 citations in OpenAlex.
- Identifying Target Genes for Engineered Genetic Incompatibility in Fish.Marine biotechnology (New York, N.Y.) · 2026Article
- Towards engineering hybrid incompatibility in plants.Plant biotechnology journal · 2025Article
- Construction and iterative redesign of synXVI a 903 kb synthetic Saccharomyces cerevisiae chromosome.Nature communications · 2025Article
- Predicting thresholds for population replacement gene drives.BMC biology · 2024Article
- Manipulating the Destiny of Wild Populations Using CRISPR.Annual review of genetics · 2023Review
- Review
- Efficient gene activation in plants by the MoonTag programmable transcriptional activator.Nucleic acids research · 2023Article
- Efficient gene activation in plants by the MoonTag programmable transcriptional activator.bioRxiv : the preprint server for biology · 2023Article
- Advancing the protection of marine life through genomics.PLoS biology · 2022Article
- Genetically engineered insects with sex-selection and genetic incompatibility enable population suppression.eLife · 2022Article
- Modeling-informed Engineered Genetic Incompatibility strategies to overcome resistance in the invasiveFrontiers in insect science · 2022Article
- Insights into insecticide-resistance mechanisms in invasive species: Challenges and control strategies.Frontiers in physiology · 2022Review
- HUGE pipeline to measure temporal genetic variation inFrontiers in insect science · 2022Article
- Engineered reproductively isolated species drive reversible population replacement.Nature communications · 2021Article
- Invasive Insect Species: Global Challenges, Strategies & Opportunities.Frontiers in insect science · 2021Article
- Adequacy and sufficiency evaluation of existing EFSA guidelines for the molecular characterisation, environmental risk assessment and post-market environmental monitoring of genetically modified insects containing engineered gene drives.EFSA journal. European Food Safety Authority · 2020Article
- Engineering multiple species-like genetic incompatibilities in insects.Nature communications · 2020Article
- Modeling confinement and reversibility of threshold-dependent gene drive systems in spatially-explicit Aedes aegypti populations.BMC biology · 2020Article
- Gene drive and resilience through renewal with next generationProceedings of the National Academy of Sciences of the United States of America · 2020Article
- Transgene Biocontainment Strategies for Molecular Farming.Frontiers in plant science · 2020Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Controlling the exchange of genetic information between sexually reproducing populations has applications in agriculture, eradication of disease vectors, control of invasive species, and the safe study of emerging biotechnology applications. Here we introduce an approach to engineer a genetic barrier to sexual reproduction between otherwise compatible populations. Programmable transcription factors drive lethal gene expression in hybrid offspring following undesired mating events. As a proof of concept, we target the ACT1 promoter of the model organism Saccharomyces cerevisiae using a dCas9-based transcriptional activator. Lethal overexpression of actin results from mating this engineered strain with a strain containing the wild-type ACT1 promoter.Genetic isolation of a genetically modified organism represents a useful strategy for biocontainment. Here the authors use dCas9-VP64-driven gene expression to construct a 'species-like' barrier to reproduction between two otherwise compatible populations.
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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.