Journal article
Authors list: Zhao, Y; Schetelig, MF; Handler, AM
Publication year: 2020
Pages: 3095-
Journal: Nature Communications
Volume number: 11
Issue number: 1
ISSN: 2041-1723
Open access status: Gold
DOI Link: https://doi.org/10.1038/s41467-020-16807-3
Publisher: Nature Research
Abstract:
Genetically modified conditional lethal strains have been created to improve the control of insect pest populations damaging to human health and agriculture. However, understanding the potential for the genetic breakdown of lethality systems by rare spontaneous mutations, or selection for inherent suppressors, is critical since field release studies are in progress. This knowledge gap was addressed in a Drosophila tetracycline-suppressible embryonic lethality system by analyzing the frequency and structure of primary-site spontaneous mutations and second-site suppressors resulting in heritable survivors from 1.2 million zygotes. Here we report that F-1 survivors due to primary-site deletions and indels occur at a 5.8 x 10(-6) frequency, while survival due to second-site maternal-effect suppressors occur at a similar to 10(-5) frequency. Survivors due to inherent lethal effector suppressors could result in a resistant field population, and we suggest that this risk may be mitigated by the use of dual redundant, albeit functionally unrelated, lethality systems. Insect population control using conditional lethal systems could break down due to spontaneous mutations that render the system ineffective. Here the authors analyse the structure and frequency of such mutations in Drosophila and suggest the use of dual lethality systems to mitigate their survival.
Citation Styles
Harvard Citation style: Zhao, Y., Schetelig, M. and Handler, A. (2020) Genetic breakdown of a Tet-off conditional lethality system for insect population control, Nature Communications, 11(1), p. 3095. https://doi.org/10.1038/s41467-020-16807-3
APA Citation style: Zhao, Y., Schetelig, M., & Handler, A. (2020). Genetic breakdown of a Tet-off conditional lethality system for insect population control. Nature Communications. 11(1), 3095. https://doi.org/10.1038/s41467-020-16807-3