A Wolbachia nuclease and its binding partner provide a distinct mechanism for cytoplasmic incompatibility.
Hongli ChenJudith A RonauJohn F BeckmannMark HochstrasserPublished in: Proceedings of the National Academy of Sciences of the United States of America (2019)
Wolbachia are endosymbiotic bacteria that infect nearly half of all arthropod species. This pandemic is due in part to their ability to increase their transmission through the female germline, most commonly by a mechanism called cytoplasmic incompatibility (CI). The Wolbachia cid operon, encoding 2 proteins, CidA and CidB, the latter a deubiquitylating enzyme (DUB), recapitulates CI in transgenic Drosophila melanogaster However, some CI-inducing Wolbachia strains lack a DUB-encoding cid operon; it was therefore proposed that the related cin operon codes for an alternative CI system. Here we show that the Wolbachia cin operon encodes a nuclease, CinB, and a second protein, CinA, that tightly binds CinB. Recombinant CinB has nuclease activity against both single-stranded and double-stranded DNA but not RNA under the conditions tested. Expression of the cin operon in transgenic male flies induces male sterility and embryonic defects typical of CI. Importantly, transgenic CinA can rescue defects in egg-hatch rates when expressed in females. Expression of CinA also rescues CinB-induced growth defects in yeast. CinB has 2 PD-(D/E)xK nuclease domains, and both are required for nuclease activity and for toxicity in yeast and flies. Our data suggest a distinct mechanism for CI involving a nuclease toxin and highlight the central role of toxin-antidote operons in Wolbachia-induced cytoplasmic incompatibility.
Keyphrases
- aedes aegypti
- dna binding
- drosophila melanogaster
- dengue virus
- binding protein
- escherichia coli
- zika virus
- poor prognosis
- high glucose
- transcription factor
- diabetic rats
- coronavirus disease
- nucleic acid
- oxidative stress
- drug induced
- sars cov
- saccharomyces cerevisiae
- cell free
- electronic health record
- dna repair
- endothelial cells
- protein protein
- human immunodeficiency virus
- big data
- hiv infected
- small molecule
- cell wall
- data analysis
- deep learning
- amino acid