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Chustecki, J. M.

Publications and source records attributed to Chustecki, J. M..

4 recordsLinked to original sources

Reshaping Organellar Translation and tRNA Metabolism: The Consequences of Photosynthesis Loss and Massive Horizontal Gene Transfer

The transition to holoparasitism in plants precipitates the loss of photosynthesis, fundamentally altering the selective landscape acting on organellar genomes. These changes raise questions about the mechanisms by which the essential, coevolved machinery of translation responds to extreme genomic erosion and metabolic dependency. Integrating comparative genomics, tRNA sequencing, and subcellular localization assays, we elucidate the extensive rewiring of organellar translation systems and the tRNA-dependent tetrapyrrole biosynthesis pathway in the holoparasitic angiosperm family Balanophoraceae, which exhibits extreme reduction of tRNA content in plastid and mitochondrial genomes. We identified a rare evolutionary event: the putative intracellular transfer of the plastid initiator tRNA (tRNA-iMet) to the nucleus, which compensates for its loss from the plastid genome. We also demonstrate that the unusual UAG-to-Trp reassignment in the Balanophora plastid genetic code is driven by the loss of release factor pRF1 and the recruitment of a mutated nuclear tRNA-Trp. Furthermore, we reveal that the retention of organellar nuclear-encoded aminoacyl-tRNA synthetases is dictated by the presence/absence of cognate organellar tRNAs, which appear to be functional regardless of their foreign (horizontal transfer from the host plant) or native origins. Finally, we uncover a striking evolutionary asymmetry in nuclear-encoded ribosomal proteins: while plastid subunits exhibit elevated substitution rates consistent with relaxed selection and compensatory coevolution, mitochondrial subunits display high sequence conservation, likely maintaining compatibility with the extensive horizontal gene transfer observed in this lineage. Collectively, these findings represent some of the most extreme changes ever identified in the anciently conserved machinery of plant organellar translation.

evolutionary biology↗

Running on empty: Mitochondria without mtDNA exhibit differential motility and connectivity

Plant mitochondria are in continuous motion. While providing ATP to other cellular processes, they also constantly consume ATP to move rapidly within the cell. This movement is in part related to taking up, converting and delivering metabolites and energy to and from different parts of the cell. Plant mitochondria have varying amounts of DNA even within a single cell, from none to the full mitochondrial genome. Because mitochondrial dynamics are altered in an Arabidopsis mutant with disrupted DNA maintenance, we hypothesised that exchanging DNA templates for repair is one of the functions of their movement and interactions. Here, we image mitochondrial DNA by two distinct methods while tracking mitochondrial position to investigate differences in the behaviour of mitochondria with and without DNA in Arabidopsis thaliana. In addition to staining mitochondrial DNA with SYBR Green, we have developed and implemented a fluorescent mitochondrial DNA binding protein that will also enable future understanding of mitochondrial dynamics, genome maintenance and replication. We demonstrate that mitochondria without mtDNA have altered physical behaviour and have a lower immediate connectivity to the rest of the population, further supporting a link between the physical and genetic dynamics of these complex organelles.

cell biology↗

Universal features shaping organelle gene retention

Mitochondria and plastids power complex life, and retain their own organelle DNA (oDNA) genomes, with highly reduced gene contents compared to their endosymbiont ancestors. Why some protein-coding genes are retained in oDNA and some lost remains a debated question. Here we harness over 15k oDNA sequences and over 300 whole genome sequences with tools from structural biology, bioinformatics, machine learning, and Bayesian model selection to reveal the properties of genes, and associated underlying mechanisms, that shape oDNA evolution. Striking symmetry exists between the two organelle types: gene retention patterns in both are predicted by the hydrophobicity of a protein product and its energetic centrality within its protein complex, with additional influences of nucleic acid and amino acid biochemistry. Remarkably, retention principles from one organelle type successfully and quantitatively predict retention in the other, supporting this universality; these principles also distinguish gene profiles in independent endosymbiotic relationships. The identification of these features shaping organelle gene retention both provides quantitative support for several existing evolutionary hypotheses, and suggests new biochemical and biophysical mechanisms influencing organelle genome evolution.

evolutionary biology↗

Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells

Mitochondria in plant cells form strikingly dynamic populations of largely individual organelles. Each mitochondrion contains on average 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 copy of the mtDNA genome over time, by facilitating exchange between individuals. Akin to trade on a social network, exchange of mtDNA fragments across organelles may lead to the emergence of full effective genomes in individuals over time. We characterise the collective dynamics of mitochondria in Arabidopsis thaliana hypocotyl cells using a recent approach combining single-cell timelapse microscopy, video analysis, and network science. We then use a quantitative model to predict the capacity for the sharing and accumulation of genetic information through the networks of encounters between mitochondria. We find that biological encounter networks are strikingly well predisposed to support the collection of full genomes over time, outperforming a range of other networks generated from theory and simulation. Using results from the coupon collectors problem, we show that the upper tail of the degree distribution is a key determinant of an encounter networks performance at this task and discuss how features of mitochondrial dynamics observed in biology facilitate the emergence of full effective genomes.

plant biology↗