Exchange on dynamic encounter networks allows plant mitochondria to collect complete sets of mitochondrial DNA products despite their incomplete genomes.

Konstantinos Giannakis, Joanna M Chustecki, Iain G Johnston
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引用次数: 3

Abstract

Mitochondria 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.

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动态相遇网络上的交换允许植物线粒体收集完整的线粒体DNA产物,尽管它们的基因组不完整。
植物细胞中的线粒体通常包含不到一个完整的线粒体DNA (mtDNA)基因组拷贝。在这里,我们询问线粒体动力学是否允许单个线粒体随着时间的推移“收集”一整套mtdna编码的基因产物,通过促进个体之间的交换,类似于在社交网络上进行交易。我们利用一种结合单细胞延时显微镜、视频分析和网络科学的最新方法,描述了拟南芥下胚轴细胞中线粒体的集体动力学。我们使用定量模型来预测通过线粒体之间的遭遇网络共享遗传信息和基因产物的能力。我们发现,随着时间的推移,生物遭遇网络比一系列其他可能的网络结构更容易支持基因产物集的出现。利用组合学的结果,我们确定了决定这种倾向的网络统计,并讨论了在生物学中观察到的线粒体动力学特征如何促进mtdna编码基因产物的收集。
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