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dc.contributor.authorJenkins, BH
dc.contributor.authorMaguire, F
dc.contributor.authorLeonard, G
dc.contributor.authorEaton, JD
dc.contributor.authorWest, S
dc.contributor.authorHousden, BE
dc.contributor.authorMilner, DS
dc.contributor.authorRichards, TA
dc.date.accessioned2021-09-17T12:36:27Z
dc.date.issued2021-09-14
dc.description.abstractEukaryote–eukaryote endosymbiosis was responsible for the spread of chloroplast (plastid) organelles. Stability is required for the metabolic and genetic integration that drives the establishment of new organelles, yet the mechanisms that act to stabilize emergent endosymbioses—between two fundamentally selfish biological organisms—are unclear. Theory suggests that enforcement mechanisms, which punish misbehavior, may act to stabilize such interactions by resolving conflict. However, how such mechanisms can emerge in a facultative endosymbiosis has yet to be explored. Here, we propose that endosymbiont–host RNA–RNA interactions, arising from digestion of the endosymbiont population, can result in a cost to host growth for breakdown of the endosymbiosis. Using the model facultative endosymbiosis between Paramecium bursaria and Chlorella spp., we demonstrate that this mechanism is dependent on the host RNA-interference (RNAi) system. We reveal through small RNA (sRNA) sequencing that endosymbiont-derived messenger RNA (mRNA) released upon endosymbiont digestion can be processed by the host RNAi system into 23-nt sRNA. We predict multiple regions of shared sequence identity between endosymbiont and host mRNA, and demonstrate through delivery of synthetic endosymbiont sRNA that exposure to these regions can knock down expression of complementary host genes, resulting in a cost to host growth. This process of host gene knockdown in response to endosymbiont-derived RNA processing by host RNAi factors, which we term “RNAi collisions,” represents a mechanism that can promote stability in a facultative eukaryote–eukaryote endosymbiosis. Specifically, by imposing a cost for breakdown of the endosymbiosis, endosymbiont–host RNA–RNA interactions may drive maintenance of the symbiosis across fluctuating ecological conditions.en_GB
dc.description.sponsorshipEuropean Molecular Biology Organizationen_GB
dc.description.sponsorshipRoyal Societyen_GB
dc.description.sponsorshipEuropean Research Council (ERC)en_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipLister Instituteen_GB
dc.description.sponsorshipDonald Hill Family Fellowshipen_GB
dc.identifier.citationVol. 118 (38), article e2108874118en_GB
dc.identifier.doi10.1073/pnas.2108874118
dc.identifier.grantnumberUF130382en_GB
dc.identifier.grantnumber819507en_GB
dc.identifier.grantnumberWT107791/Z/15/Zen_GB
dc.identifier.urihttp://hdl.handle.net/10871/127110
dc.language.isoenen_GB
dc.publisherNational Academy of Sciencesen_GB
dc.relation.urlhttps://doi.org/10.6084/m9.figshare.c.4978160.v3en_GB
dc.relation.urlhttps://github.com/guyleonard/parameciumen_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.4638888en_GB
dc.relation.urlhttps://github.com/fmaguire/eDiceren_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.4659378en_GB
dc.rights© 2021 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).en_GB
dc.subjectcoevolutionen_GB
dc.subjectsymbiosisen_GB
dc.subjectprotisten_GB
dc.subjectalgaeen_GB
dc.subjectcell–cell interactionen_GB
dc.titleEmergent RNA–RNA interactions can promote stability in a facultative phototrophic endosymbiosisen_GB
dc.typeArticleen_GB
dc.date.available2021-09-17T12:36:27Z
dc.identifier.issn0027-8424
dc.descriptionThis is the final version. Available on open access from the National Academy of Sciences via the DOI in this recorden_GB
dc.descriptionData Availability: The sequence data, code, and datasets have been deposited in NCBI Sequence Read Archive, GitHub, Figshare, and Zenodo. The raw reads generated during sRNA sequencing are available on the NCBI Sequence Read Archive (accession numbers SAMN14932981 and SAMN14932982). All other datasets are available on Figshare (https://doi.org/10.6084/m9.figshare.c.4978160.v3) under the relevant headings (77). Custom scripts for sRNA read processing (https://github.com/guyleonard/paramecium, https://doi.org/10.5281/zenodo.4638888) and eDicer comparative analysis (https://github.com/fmaguire/eDicer, https://doi.org/10.5281/zenodo.4659378) are available on GitHub and archived within the Zenodo repository.en_GB
dc.identifier.journalProceedings of the National Academy of Sciencesen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_GB
dcterms.dateAccepted2021-07-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-09-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-09-16T14:25:14Z
refterms.versionFCDAM
refterms.dateFOA2021-09-17T12:36:32Z
refterms.panelAen_GB


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© 2021 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Except where otherwise noted, this item's licence is described as © 2021 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).