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The worldwide endosymbiosis between arthropods and Wolbachia bacteria is an archetype for reproductive parasitism. This parasitic strategy rapidly increases the proportion of symbiont-transmitting mothers, and the most common form, cytoplasmic incompatibility (CI), impacts insect evolution and arboviral control strategies. During CI, sperms from symbiotic males kill embryos of aposymbiotic females via two nuclear-targeting proteins, CifA and CifB, that alter sperm chromatin organization in Drosophila melanogaster. Here we hypothesize that Cif proteins metabolize nucleic acids of developing sperm to initiate genome integrity changes. Using in vitro and in situ transgenic, mutant, enzymatic, and cytochemical assays, we show that CifA is a previously-unrecognized DNase and RNase, and CifB is a DNase. Notably, in vitro nuclease activity translates to in situ spermatid DNA damage at the canoe stage of spermiogenesis. Evolution-guided mutations ablate Cif enzymatic activity. Nucleic acid metabolism by Cif enzymes expands a fundamental understanding of the mechanism of symbiont-mediated reproductive parasitism. 

Significance Microbes have a strong impact on the biology of their host, with those living in the gut being essential to immunity, development, and metabolism. A functional gut, however, has been lost several times during animal evolution. Here, using sister sea urchin species, we report that the loss of a functional gut corresponds with a reduced microbial diversity and abundance. Gut loss also coincides with associating with an endosymbiont that complements host nutrition and potentially impacts host reproduction. Therefore, transitions in developmental life histories in animals can accompany shifts in the microbial community. 

ABSTRACT Phage Cr39582 was induced by mitomycin C from Pseudoalteromonas sp. strain Cr6751, isolated from a marine invertebrate gut. Pseudoalteromonas phage Cr39582 has 85% pairwise nucleotide identity with phage PM2 but lacks sequence homology in the spike protein. This report supports previous bioinformatic identification of corticoviral sequences within aquatic bacterial genomes.