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dc.contributor.authorGiannakis, Konstantinos
dc.contributor.authorChustecki, Joanna M.
dc.contributor.authorJohnston, Iain George
dc.date.accessioned2024-03-22T13:12:02Z
dc.date.available2024-03-22T13:12:02Z
dc.date.created2023-01-03T09:18:48Z
dc.date.issued2022
dc.identifier.issn2632-8828
dc.identifier.urihttps://hdl.handle.net/11250/3123867
dc.description.abstractMitochondria in plant cells usually contain less than a full copy of the mitochondrial DNA (mtDNA) genome. Here, we asked whether mitochondrial dynamics may allow individual mitochondria to ‘collect’ a full set of mtDNA-encoded gene products over time, by facilitating exchange between individuals akin to trade on a social network. We characterise the collective dynamics of mitochondria in Arabidopsis hypocotyl cells using a recent approach combining single-cell time-lapse microscopy, video analysis and network science. We use a quantitative model to predict the capacity for sharing genetic information and gene products through the networks of encounters between mitochondria. We find that biological encounter networks support the emergence of gene product sets over time more readily than a range of other possible network structures. Using results from combinatorics, we identify the network statistics that determine this propensity, and discuss how features of mitochondrial dynamics observed in biology facilitate the collection of mtDNA-encoded gene products.en_US
dc.language.isoengen_US
dc.publisherCambridge University Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleExchange on dynamic encounter networks allows plant mitochondria to collect complete sets of mitochondrial DNA products despite their incomplete genomesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumbere18en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1017/qpb.2022.15
dc.identifier.cristin2099315
dc.source.journalQuantitative Plant Biologyen_US
dc.identifier.citationQuantitative Plant Biology. 2023, 3, e18.en_US
dc.source.volume3en_US


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