Engineering species-like barriers to sexual reproduction
Maciej Maselko,
Stephen C. Heinsch,
Jeremy M. Chacón,
William R. Harcombe and
Michael J. Smanski ()
Additional contact information
Maciej Maselko: University of Minnesota – Twin Cities
Stephen C. Heinsch: University of Minnesota – Twin Cities
Jeremy M. Chacón: University of Minnesota – Twin Cities
William R. Harcombe: University of Minnesota – Twin Cities
Michael J. Smanski: University of Minnesota – Twin Cities
Nature Communications, 2017, vol. 8, issue 1, 1-7
Abstract:
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.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-017-01007-3 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01007-3
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-017-01007-3
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().