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Dupouy, G.

Publications and source records attributed to Dupouy, G..

4 recordsLinked to original sources

Cytoplasmic genomes change allelic expression bias in plant seeds independently of parental imprinting: evidence for cytonuclear regulatory epistasis in Arabidopsis thaliana

Cytoplasmic genomes play critical roles in plant cells, yet their potential contribution to regulation of the nuclear genome remains largely unexplored. Here, we examine how cytoplasmic genotype affects allelic dominance at nuclear loci by identifying allele-specific expression in hybrid plant lines in which cytoplasmic genomes have been swapped between accessions. After developing a bias-free ASE analysis pipeline based on dual pseudo-genome alignment, we determined ASE across 48 RNA-seq datasets of the model plant, Arabidopsis thaliana and distinguished between allelic bias under the control of the genotype and or the cytoplasm. Of 7,997 nuclear genes for which informative SNPs could be mapped, 2,702 displayed allelic imbalances, the great majority controlled by the nuclear background. However cytoplasmic interactions with nuclear genotype were found to regulate ASE at 24 genes. We also tested interactions with genomic imprinting, a specific form of ASE in which parental inheritance determines expression state, within seed transcriptomes: while we detected both novel and previously-reported imprinted genes, only three genes (VFB1, ANNAT3, ENODL2) exhibited both parent-of-origin bias and cytoplasm-responsiveness. This indicates that these two parental inheritance mechanisms are largely independent, with implications for maternal-cytoplasmic coadaptation theories. Interestingly, genes subject to cytoplasmic ASE were enriched in the ascorbate and aldarate metabolism pathway, with the highest ASE biases found in GAE4 and UGD3. We conclude that cytoplasmic variation can selectively alter expression of nuclear-encoded alleles and that this may represent a novel source of control of cellular energy balance and metabolic signalling pathways.

genetics↗

The INO80-EEN complex prevents genomic rearrangements at protein coding genes regions

Plants are continuously exposed to a myriad of DNA-damaging agents, including environmental cues such as sunlight. At the cellular level, plants respond to DNA damage by activating DNA damage response (DDR) pathways, in which chromatin remodelers play an important role. Among them, the evolutionary conserved INO80 complex (INO80c) has been shown in Arabidopsis to play a key role in DDR, notably by positively regulating Homologous Recombination (HR). Arabidopsis EIN6 ENHANCER (EEN) is the homolog of Yeast INO EIGHTY SUBUNIT 6 and interacts with the N-terminal region of INO80 in the INO80c. Using plant phenotyping, cellular and molecular biology, and third-generation sequencing technology we investigated how INO80 and EEN regulate plant development and genome integrity. We uncovered new roles for INO80 and EEN in plant growth and for INO80 in fine tuning endoreduplication. In addition, linear genome analysis revealed an important and unexpected function for the INO80-EEN complex in preventing Protein Coding Genes (PCGs) from structural rearrangements in somatic tissue and upon exposure to UV-B. Therefore, our results shed new light on the previously overlooked roles of INO80 and EEN in protecting genome integrity at PCGs.

plant biology↗

Root hair growth phases are coordinated by cytoskeleton, nucleus dynamics and cell mechanics in Arabidopsis

Polar cell growth is a fundamental process across organisms, yet its coordination with nuclear movement and cytoskeleton dynamics remains underexplored. Focusing on Arabidopsis thaliana root hairs, we investigate these processes using high-resolution live imaging within microfluidics-based experiments. By incorporating data on cytoskeletal dynamics, nuclear positioning, and tip growth into a mathematical model, we analyse how their interactions shape the different growth phases that we reveal for the first time in this study. Chemical treatments and mutant analyses further support our model, revealing that timely cytoskeletal changes drive transitions between these growth phases, and correlate with shifts in nuclear movement and morphology. This regulation suggests a microtubule-actin crosstalk in the root hair subapical region. Additionally, we present novel findings on vacuole movement and cell stiffness, further refining our understanding of tip growth dynamics. Collectively, our work provides a comprehensive framework for understanding how transitions between growth phases are orchestrated in plant tip-growing cells.

cell biology↗

Machine learning segmentation tool trained on synthetic data for tracking cytoskeleton polymerisation and depolymerisation

The cytoskeleton is important in controlling the growth and morphology of plant cells, so tracking its morphological changes is essential. Here, we develop a new machine learning based segmentation tool for microtubules (MTs), which can distinguish between polymerised and depolymerised fibres. To circumvent the low abundance of data, we trained on synthetic images of microtubules from a computational micro-tubule model, pre-processed to reproduce microscope effects and partial depolymerisation. We used this tool to investigate how the MT network in an Arabidopsis thaliana root hair cell repolymerises after depolymerisation under Oryzalin (OZ) drug treatments. Specifically, we show the network initially repolymerises from the shank region. This work demonstrates the viability of using synthetic data to train machine learning systems handling cytoskeletal image data.

plant biology↗