Biology subjects

Vandepoele, K.

Publications and source records attributed to Vandepoele, K..

At least 19 recordsLinked to original sources

bioRxiv2026

A single-cell transcriptome atlas of the barley root apical meristem uncovers conserved and divergent roles of HvWOX5

Single-cell approaches have transformed plant developmental biology; however, cell-type-resolved resources for cereals remain limited. Here, we present a single-cell transcriptome atlas of the barley root apical meristem (RAM), which resolves 24 transcriptionally distinct cell populations. We assigned major root cell identities by integrating marker gene validation using Hybridization Chain Reaction (HCR) RNA fluorescence in situ hybridization and spatial transcriptomics with cross-species comparisons of published root atlases. Pseudotime analysis reconstructed developmental trajectories from the quiescent center to differentiating tissues, supporting the spatial and developmental organization of the atlas. We further demonstrated the utility of this resource by identifying HvWOX5 expression in the quiescent center and metaxylem and showing that HvWOX5 loss-of-function mutants displayed reduced root and meristem lengths, altered stem cell niche homeostasis, and disrupted metaxylem organization. Taken together, this atlas provides a framework for dissecting barley root development and identifies HvWOX5 as a key regulator of RAM organization and metaxylem patterning.

Plant Biology↗

bioRxiv2026

A Myb-dominated gene regulatory network universally controls sexual cell fate transitions in diatoms

Diatoms are the foundation of aquatic food webs and contribute about 40% of the total marine primary productivity. Yet, the regulation of their complex size-dependent life cycles remains obscure. Here, we leveraged single-cell transcriptomics and transgenic reporter lines to uncover the molecular mechanisms behind partner recognition, nuclear fusion, and the remarkable 15-fold size expansion of auxospores. Gene regulatory network inference revealed that the irreversible commitment to differentiate into gametes is controlled by Myb transcription factors, whose specific activity in the global ocean underscores their significance for ploidy transitions across diatom clades. These findings reinforce microalgae as powerful models to study cell fate transitions and provide a mechanistic framework for the life cycle dynamics that underpin the functioning of aquatic systems worldwide. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=67 SRC="FIGDIR/small/714157v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@162f523org.highwire.dtl.DTLVardef@1cbe836org.highwire.dtl.DTLVardef@1fa6c9eorg.highwire.dtl.DTLVardef@1f12217_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2026

Decoding stage-specific symbiotic programs in the Rhizophagus irregularis-tomato interaction using single-nucleus transcriptomics

Arbuscular mycorrhizal fungi (AMF) establish a dynamic and asynchronous symbiosis with a wide range of land plants, involving distinct stages of root colonization and associated cellular responses that co-occur within the same root. Whilst decades of research have significantly advanced our understanding of the plants symbiotic gene repertoire, this spatial and temporal complexity has hindered a detailed dissection of the molecular mechanisms underlying fungal accommodation. Here, we present the first single-nucleus RNA-sequencing (snRNA-seq) dataset of Solanum lycopersicum roots colonized by Rhizophagus irregularis. Unsupervised subclustering of an AM-specific cell population resolves AM-responsive root epidermal cells as well as a developmental gradient of cortical cells across distinct stages of arbuscule formation, unveiling stage-specific transcriptional signatures during AMF colonization. Moreover, using Motif-Informed Network Inference based on single-cell EXpression data (MINI-EX), we put forward candidate transcription factors orchestrating these stage-specific transcriptional programs. Together, our data support novel hypotheses on how diverse plant developmental and physiological processes - including localized cell cycle reactivation and the integration of multiple nutritional cues - are coordinated to facilitate the establishment of a functional symbiosis. As such, this high-resolution dataset serves as a valuable resource for candidate gene prioritization and future reverse genetic studies.

plant biology↗

bioRxiv2025

Conserved transcriptional reprogramming in nematode infected root cells

Plant-parasitic nematodes are responsible for important annual losses in crop productivity worldwide1,2. Although the formation of feeding organs within the roots is essential for successful sedentary parasitism3, the molecular mechanisms underlying their development are poorly understood. This is partly because these organs originate from a limited number of root cells4-7, making difficult to capture the transcriptional reprogramming that occurs during the early stages of the infection. Here, we first developed a comparative host-pathogen framework to study the nematode infection process in Arabidopsis and rice. Using a cross-species single-cell transcriptomics approach, we identified a unique molecular signature in infected root cells and show that the cellular reprogramming during these early stages is highly conserved across both host-pathogen interactions. This transcriptional cell reprogramming is associated with stemness acquisition related to de novo organogenesis process. By cell-type specific gene regulatory network analysis, we identified AtATHB2/OsHOX28 as an evolutionary conserved and key regulator of the nematode infection process. Loss-of-function of this regulator in both species results in nematode resistance without affecting root growth. This discovery opens up new avenues for the development of sustainable nematode control strategies that could be translated across crop species.

plant biology↗

bioRxiv2025

Gene regulatory network analysis of somatic embryogenesis identifies morphogenic genes that increase maize transformation frequency

Somatic embryogenesis allows a somatic plant cell to develop into an embryo, and potentially into a fertile plant. Transcription factors such as BABY BOOM can induce somatic embryogenesis when ectopically expressed and are widely used for aiding regeneration in tissue culture for transformation and gene editing of crops. Nevertheless, regeneration remains a bottleneck and alternative morphogenic genes are highly desired. Here, we co-expressed BABY BOOM and WUSCHEL2 in zygotic maize (Zea mays L.) embryos and studied gene regulatory networks in induced somatic embryos at the single-cell level. By inferring cell-type-specific regulons, we prioritized candidate regulators and confirmed functionality of four transcription factors, bHLH48, EREB152, GRF4, and HB77, for enhanced maize transformation frequency, leading to fertile, transgenic plants. Interestingly, the basic helix-loop-helix and homeodomain-leucine zipper families had previously not been associated with induced somatic embryogenesis. Our work will contribute to more efficient transformation, much needed to deliver on the promise of gene editing for agriculture.

plant biology↗

bioRxiv2025

Unraveling the cis-regulatory code controlling abscisic acid-dependent gene expression in Arabidopsis using deep learning

Abscisic acid (ABA) is a key regulator of abiotic stress responses in plants. Understanding the regulation of ABA-dependent gene expression is key to uncovering how plants adapt to environmental stress and how their resilience can be improved. We explored gene expression regulation by ABA in Arabidopsis thaliana through the training of an interpretable deep learning model predicting ABA responsiveness in the root from proximal promoter sequences. Implementing state-of-the-art augmentation strategies to boost performance, our convolutional neural network-based model was able to confidently predict ABA responsiveness. We demonstrate that it learned actual motifs in the promoter sequences and confirm that ABRE-binding factor (ABF) binding sites play a key role in regulating ABA-dependent gene expression. However, also other motifs contributing to ABA-mediated gene expression regulation were identified. Our model outperforms a model trained to predict ABF binding, indicating it successfully learned the cis-regulatory code beyond the canonical ABF binding sites. Furthermore, the importance of motif clustering for regulating gene expression levels in response to ABA was unveiled by our model. Lastly, we identified genomic regions-beyond the proximal promoter-both with and without ABF binding sites, predicted by our model to drive ABA responsiveness. These genomic regions were used to generate reporter lines for experimental validation and were shown to drive the response to ABA in planta. This confirms that our model successfully inferred the regulatory code controlling ABA-dependent gene expression.

plant biology↗

bioRxiv2024

Modulating activity of the APC/C regulator SlSAMBA improves the sugar and antioxidant content of tomato fruits

The Anaphase-Promoting Complex/Cyclosome (APC/C) is an E3 ubiquitin ligase that plays a crucial role in ubiquitin-dependent proteolysis of key cell cycle regulators, which is completed by 26S proteasome. Previously, SAMBA, a plant-specific regulator of the APC/C, was identified in Arabidopsis as a critical factor controlling organ size through the regulation of cell proliferation. Here, by assessing its role in the crop tomato (Solanum lycopersicum), we confirm that SAMBA is a conserved APC/C regulator in plants. Two slsamba genome-edited lines were characterized showing delayed growth, reduced plant size and altered fruit morphology, which were linked to changes in cell division and expansion. Notably, untargeted metabolomics revealed altered flavonoid profiles, along with elevated Brix values in the fruits, indicating a sweeter taste. Accordingly, transcriptomics uncovered a change in temporal gene expression gradients during early fruit development, correlating with the alterations in sugar metabolism and revealing changes in cell wall biosynthesis genes. This study provides the first evidence of SAMBAs role in regulating fruit development, metabolic content, and, ultimately, quality. These important findings offer potential applications for improving the nutritional quality and overall performance of tomato.

plant biology↗

bioRxiv2024

Olduvai domain expression downregulates mitochondrial pathways: implications for human brain evolution and neoteny

Olduvai (formerly DUF1220) protein domains, encoded by the NBPF gene family, have undergone the greatest human lineage-specific copy-number expansion of any coding sequence in the genome and strongly correlate with brain size and neuron number across primates. Here we show that Olduvai domains act in a dosage-dependent manner to suppress mitochondrial metabolism. Transcriptomic, proteomic, and live-cell imaging analyses of cells overexpressing NBPF1 (which encodes seven Olduvai domains) reveal pronounced downregulation of mitochondrial pathways, including electron transport chain components and NADH dehydrogenase activity, as well as reduced mitochondrial abundance. By limiting energy availability, this suppression delays cellular maturation and developmental timing. We propose that the resulting prolongation of neurogenesis increases neuron production, providing a mechanistic link between Olduvai copy number expansion and the evolutionary enlargement of the human brain. This dosage-sensitive mitochondrial regulation may also contribute to broader neotenic features of human development, offering a unifying molecular mechanism for brain expansion and the neotenic traits that distinguish humans from other primates.

genomics↗

bioRxiv2024

DiatOmicBase, a gene-centered platform to mine functional omics data across diatom genomes

Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, thanks to the availability of genomic and genetic resources, diatom species such as Phaeodactylum tricornutum have emerged as valuable experimental model systems for exploring topics ranging from evolution to cell biology, (eco)physiology and biotechnology. Since the first genome sequencing in 2008, numerous genome-enabled datasets have been generated, based on RNA-Seq and proteomics, epigenomes, and ecotype variant analysis. Unfortunately, these resources, generated by various laboratories, are often in disparate formats and challenging to access and analyze. Here we present DiatOmicBase, a genome portal gathering comprehensive omics resources from P. tricornutum and two other diatoms to facilitate the exploration of dispersed public datasets and the design of new experiments based on the prior-art. DiatOmicBase provides gene annotations, transcriptomic profiles and a genome browser with ecotype variants, histone and methylation marks, transposable elements, non-coding RNAs, and read densities from RNA-Seq experiments. We developed a semi-automatically updated transcriptomic module to explore both publicly available RNA-Seq experiments and users private datasets. Using gene-level expression data, users can perform exploratory data analysis, differential expression, pathway analysis, biclustering, and co-expression network analysis. Users can create heatmaps to visualize precomputed comparisons for selected gene subsets. Automatic access to other bioinformatic resources and tools for diatom comparative and functional genomics is also provided. Focusing on the resources currently centralized for P. tricornutum, we showcase several examples of how DiatOmicBase strengthens molecular research on diatoms, making these organisms accessible to a broad research community. Significance statementIn recent years, diatoms have become the subject of increasing interest because of their ecological importance and their biotechnological potential for natural products such as pigments and polyunsaturated fatty acids. Here, we present an interactive web-based server that integrates public diatom omics data (genomics, transcriptomics, epigenomics, proteomics, sequence variants) to connect individual diatom genes to broader-scale functional processes.

genomics↗

bioRxiv2024

A map of integrated cis-regulatory elements enhances gene regulatory analysis in maize

Cis-regulatory elements (CREs) are non-coding DNA sequences that modulate gene expression. Their identification is critical to study the transcriptional regulation of genes controlling key traits that govern plant growth and development. They are also crucial components for the delineation of gene regulatory networks, which represent regulatory interactions between transcription factors (TFs) and target genes. In maize, CREs have been profiled using different computational and experimental methods, but the extent to which these methods complement each other in identifying functional CREs is unclear. Here, we report the data-driven integration of different maize CRE profiling methods to optimize the capture of experimentally-confirmed TF binding sites, resulting in maps of integrated CREs (iCREs) showing increased levels of completeness and precision. We combined the iCREs with a wide diversity of gene expression data under drought conditions to perform motif enrichment and infer drought-specific GRNs. Mining these organ-specific GRNs revealed known and novel candidate regulators of maize drought response, and showed these networks significantly overlap with drought eQTL regulatory interactions. Furthermore, by studying the transposable elements (TEs) overlapping with iCREs, we identified few TE superfamilies displaying typical epigenetic features of regulatory DNA that are potentially involved in wiring specific TF-target gene regulatory interactions. Overall, our study showcases the integration of different omics data sources to generate a high-quality collection of CREs, together with their applicability to better characterize gene regulation in the complex maize genome.

bioinformatics↗

bioRxiv2024

Transit amplifying cells balance growth and differentiation in above-ground meristems

In both animals and plants, stem cell niches balance between cell-renewal and the generation of progeny cells that differentiate into specialized tissues. The multipotent and highly proliferative transit amplifying cells (TACs) integrate signals from stem cells and their differentiating progeny cells. Here we used spatial transcriptomics mapped to individual cells to illustrate the localization of TACs in maize meristems based on transcriptional gradients. Through genetic interactions and fluctuations in the transcriptional gradients we show that the multiplicative cell divisions are independently controlled from the TAC cell divisions. The dynamic nature of transcriptional variation in response to cell state or environment, together with the potential to improve yield by their modulation highlights the importance of finetuned modulation of networks rather than constitutive perturbations for crop improvement.

plant biology↗

bioRxiv2024

Molecular fingerprints of cell size sensing and mating type differentiation in pennate diatoms

O_LIA unique cell size sensing mechanism is at the heart of the life cycle of diatoms. During population growth, cell size decreases until a Sexual Size Threshold (SST) is reached, below which cells become sexually competent. In most pennate diatoms, the two mating types undergo biochemical and behavioral differentiation below the SST, although the molecular pathways underlying their size-dependent maturation remain unknown. C_LIO_LIHere, we developed a method to shorten the generation time of Cylindrotheca closterium through single-cell microsurgery, enabling the transcriptomic comparison of genetically identical large and undifferentiated cells with small, sexually competent cells for six different genotypes. C_LIO_LIWe identified 21 genes upregulated in small cells regardless of their mating type, revealing how cells undergo specific transcriptional reprogramming when passing the SST. Furthermore, we revealed a size-regulated gene cluster with three mating type-specific genes susceptible to sex-inducing pheromones. In addition, comparative transcriptomics confirmed the shared mating type specificity of Mating-type Related Minus 2 homologs in three pennate diatoms, suggesting them to be part of a conserved partner-recognition mechanism. C_LIO_LIThis study sheds light on how diatoms acquire sexual competence in a strictly size-dependent manner, revealing a complex machinery underlying size-dependent maturation, mating behavior, and heterothally in pennate diatoms. C_LI

plant biology↗

bioRxiv2023

MINI-EX version 2: cell-type-specific gene regulatory network inference using an integrative single-cell transcriptomics approach

Understanding and predicting cell-type-specific gene regulatory networks (GRNs) is essential for unraveling the complex interactions between transcription factors (TFs) that modulate the expression of target genes and control diverse biological processes in multicellular organisms. MINI-EX (Motif-Informed Network Inference based on single-cell EXpression data) is an integrative tool tailored for identifying cell-type-specific GRNs in plants. Leveraging single-cell transcriptomics data, MINI-EX constructs expression-based networks and integrates TF motif information to produce GRNs with increased accuracy. Furthermore, it assigns regulatory modules to distinct cell types and prioritizes candidate regulators by employing a strategy that encompasses network centrality measures, functional annotations, and expression specificity. Taken together, MINI-EX offers a powerful approach to identify cell-type-specific transcriptional cascades and enhance our understanding of TF functions in plant biology. Here, we discuss recent advancements in the tools latest version and explain how single-cell GRNs can be identified for non-model species lacking TF motif information. Additionally, we provide a comprehensive guide to use MINI-EX, covering the entire pipeline from preparing input files starting from a single-cell experiment, over configuring parameters, to interpreting output data.

plant biology↗

bioRxiv2023

MINI-AC: Inference of plant gene regulatory networks using bulk or single-cell accessible chromatin profiles

Gene regulatory networks (GRNs) represent the interactions between transcription factors (TF) and their target genes. GRNs control transcriptional programs involved in growth, development and stress responses, ultimately affecting diverse agricultural traits. While recent developments in accessible chromatin (AC) profiling technologies make it possible to identify context-specific regulatory DNA, learning the underlying GRNs remains a major challenge. We developed MINI-AC (Motif-Informed Network Inference based on Accessible Chromatin), a method that combines AC data from bulk or single-cell experiments with TF binding site information to learn GRNs in plants. We benchmarked MINI-AC using bulk AC datasets from different Arabidopsis thaliana tissues and showed that it outperforms other methods to identify correct TFs binding sites. In maize, a crop with a complex genome and abundant distal AC regions, MINI-AC successfully inferred leaf GRNs with experimentally confirmed, both proximal and distal, TF-target gene interactions. Furthermore, we showed that both AC regions and footprints are valid alternatives to infer AC-based GRNs with MINI-AC. Finally, we combined MINI-AC predictions from bulk and single-cell AC datasets to identify general and cell-type specific maize leaf regulators. Focusing on C4 metabolism, we identified diverse regulatory interactions in specialized cell types for this photosynthetic pathway. MINI-AC represents a powerful tool for inferring accurate AC-derived GRNs in plants and identifying known and novel candidate regulators, improving our understanding of gene regulation in plants.

bioinformatics↗

bioRxiv2023

Diatom adhesive trail proteins acquired by horizontal gene transfer from bacteria serve as primers for marine biofilm formation

O_LIBiofilm-forming benthic diatoms are key primary producers in coastal habitats, where they frequently dominate sunlit submerged and intertidal substrata. The development of a unique form of gliding motility in raphid diatoms was a key molecular adaptation that contributed to their evolutionary success. Gliding motility is hypothesized to be driven by an intracellular actin-myosin motor and requires the secretion of polysaccharide- and protein-based adhesive materials. To date, the structure-function correlation between diatom adhesives utilized for gliding and their relationship to the extracellular matrix that constitutes the diatom biofilm is unknown. C_LIO_LIProteomics analysis of the adhesive material from Craspedostauros australis revealed eight novel, diatom-specific proteins. Four of them constitute a new family of proteins, named Trailins, which contain an enigmatic domain termed Choice-of-Anchor-A (CAA). Immunostaining demonstrated that Trailins are only present in the adhesive trails required to generate traction on native substrata, but are absent from the extracellular matrix of biofilms. Phylogenetic analysis and Protein 3D structure prediction suggests that the CAA-domains in Trailins were obtained from bacteria by horizontal gene transfer, and exhibit a striking structural similarity to ice-binding proteins. C_LIO_LIOur work advances the understanding of the molecular basis for diatom underwater adhesion and biofilm formation providing evidence that there is a molecular switch between proteins required for initial surface colonization and those required for 3D biofilm matrix formation. C_LI

plant biology↗

bioRxiv2023

Distinctive and complementary roles of E2F transcription factors during plant replication stress response

Survival of living organisms is fully dependent on their maintenance of genome integrity, being permanently threatened by replication stress in proliferating cells. Although the plant DNA damage response (DDR) regulator SOG1 has been demonstrated to cope with replicative defects, accumulating evidence points to other pathways functioning independently of SOG1. Here, we have studied the role of the Arabidopsis E2FA and EF2B transcription factors, two well-characterized regulators of DNA replication, in the response to replication stress. Through a combination of reverse genetics and chromatin-immunoprecipitation approaches, we show that E2FA and E2FB share many target genes with SOG1, providing evidence for their involvement in the DDR. Analysis of double and triple mutant combinations revealed that E2FB, rather than E2FA, plays the most prominent role in sustaining growth in the presence of replicative defects, either operating antagonistically or synergistically with SOG1. Reversely, SOG1 aids in overcoming the replication defects of E2FA/E2FB-deficient plants. Our data reveal a complex transcriptional network controlling the replication stress response, in which both E2Fs and SOG1 act as key regulatory factors. ONE-SENTENCE SUMMARYThe Arabidopsis E2FA and EF2B transcription factors differently contribute to the plants response to DNA replication defects in a cooperative way with the DNA damage response regulator SOG1.

genetics↗

bioRxiv2022

Regulatory and evolutionary annotation identifies KAN1, MYB44 and PIF4 as regulators of Arabidopsis lincRNAs expressed in root

Thousands of long intergenic noncoding RNAs (lincRNAs) have been identified in plant genomes. While some lincRNAs have been characterized as important regulators in different biological processes, little is known about the transcriptional regulation for most plant lincRNAs. Through the integration of eight annotation resources, we defined 6,599 high-confidence lincRNA loci in Arabidopsis thaliana. For lincRNAs belonging to different evolutionary age categories, we identified major differences in sequence and chromatin features, as well as in the level of conservation and purifying selection acting during evolution. Spatiotemporal gene expression profiles combined with transcription factor (TF) chromatin immunoprecipitation data were used to construct a TF- lincRNA regulatory network containing 2,659 lincRNAs and 15,686 interactions. We found that properties characterizing lincRNA expression, conservation and regulation differ between plants and animals. Experimental validation confirmed the role of three TFs, KAN1, MYB44, and PIF4, as key regulators controlling root- specific lincRNA expression, demonstrating the predictive power of our network. Furthermore, we identified 58 lincRNAs, regulated by these TFs, showing strong root cell-type specific expression or chromatin accessibility, which are linked with GWAS genetic associations related to root system development and growth. The multi-level genome-wide characterization covering chromatin state information, promoter conservation, and ChIP-based TF binding, for all detectable lincRNAs across 769 expression samples, permits to rapidly define the biological context and relevance of lincRNAs in Arabidopsis regulatory networks. One-line sentenceA multi-level Arabidopsis gene regulatory network identifies novel regulators controlling root-specific lincRNA expression, offering a promising strategy to identify lincRNAs involved in plant biology.

plant biology↗

bioRxiv2022

MINI-EX: Integrative inference of single-cell gene regulatory networks in plants

Multicellular organisms, such as plants, are characterized by highly specialized and tightly regulated cell populations, establishing specific morphological structures and executing distinct functions. Gene regulatory networks (GRNs) describe condition-specific interactions of transcription factor (TF) regulating the expression of target genes, underpinning these specific functions. As efficient and validated methods to identify cell-type specific GRNs from single-cell data in plants are lacking, limiting our understanding of the organization of specific cell-types in both model species and crops, we developed MINI-EX (Motif-Informed Network Inference based on single-cell Expression data), an integrative approach to infer cell-type specific networks in plants. MINI-EX uses single-cell transcriptomic data to define expression-based networks and integrates TF motif information to filter the inferred regulons, resulting in networks with increased accuracy. Next, regulons are assigned to different cell-types, leveraging cell-specific expression, and candidate regulators are prioritized using network centrality measures, functional annotations, and expression specificity. This embedded prioritization strategy offers a unique and efficient means to unravel signaling cascades in specific cell-types controlling a biological process of interest. We demonstrate MINI-EXs stability towards input data sets with low number of cells and its robustness towards missing data, and we show it infers state-of-the-art networks with a better performance compared to related single-cell network tools. MINI-EX successfully identifies key regulators controlling root development in Arabidopsis and rice, Arabidopsis leaf development, and governing ear development in maize, enhancing our understanding of cell-type specific regulation and unraveling the role of different regulators controlling the development of specific cell-types in plants.

bioinformatics↗