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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

2022Quantitative Plant Biology24 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Mitochondrial DNAMitochondrionGenomeBiologyGeneComputational biologyHypocotylSet (abstract data type)GeneticsComputer scienceBotanyProgramming languageMitochondrial Function and PathologyPhotosynthetic Processes and MechanismsBioinformatics and Genomic Networks