Biology subjects

Van Bel, M.

Publications and source records attributed to Van Bel, M..

7 recordsLinked to original sources

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↗

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

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↗

bioRxiv2020

TRAPID 2.0: a web application for taxonomic and functional analysis of de novo transcriptomes

Advances in high-throughput sequencing have resulted in a massive increase of RNA-Seq transcriptome data. However, the promise of rapid gene expression profiling in a specific tissue, condition, unicellular organism, or microbial community comes with new computational challenges. Owing to the limited availability of well-resolved reference genomes, de novo assembled (meta)transcriptomes have emerged as popular tools for investigating the gene repertoire of previously uncharacterized organisms. Yet, despite their potential, these datasets often contain fragmented or contaminant sequences, and their analysis remains difficult. To alleviate some of these challenges, we developed TRAPID 2.0, a web application for the fast and efficient processing of assembled transcriptome data. The initial processing phase performs a global characterization of the input data, providing each transcript with several layers of annotation, comprising structural, functional, and taxonomic information. The exploratory phase enables downstream analyses from the web application. Available analyses include the assessment of gene space completeness, the functional analysis and comparison of transcript subsets, and the study of transcripts in an evolutionary context. A comparison with similar tools highlights TRAPIDs unique features. Finally, analyses performed within TRAPID 2.0 are complemented by interactive data visualizations, facilitating the extraction of new biological insights, as demonstrated with diatom community metatranscriptomes.

bioinformatics↗

bioRxiv2019

The Arabidopsis condensin CAP-D subunits arrange interphase chromatin

Condensins are best known for their role in shaping chromosomes. However, other functions as organizing interphase chromatin and transcriptional control have been reported in yeasts and animals. Yeasts encode one condensin complex, while higher eukaryotes have two of them (condensin I and II). Both, condensin I and II, are conserved in Arabidopsis thaliana, but so far little is known about their function. Here we show that the A. thaliana CAP-D2 (condensin I) and CAP-D3 (condensin II) subunits are highly expressed in mitotically active tissues. In silico and pull-down experiments indicate that both CAP-D proteins interact with the other condensin I and II subunits. Our data suggest that the expression, localization and composition of the condensin complexes in A. thaliana are similar as in other higher eukaryotes. Previous experiments showed that the lack of A. thaliana CAP-D3 leads to centromere association during interphase. To study the function of CAP-D3 in chromatin organization more in detail we compared the nuclear distribution of rDNA, of centromeric chromocenters and of different epigenetic marks, as well as the nuclear size between wild-type and cap-d3 mutants. In these mutants an association of heterochromatic sequences occurs, but nuclear size and the general methylation and acetylation patterns remain unchanged. In addition, transcriptome analyses revealed a moderate influence of CAP-D3 on general transcription, but a stronger one on transcription of stress-related genes. We propose a model for the CAP-D3 function during interphase, where CAP-D3 localizes in euchromatin loops to stiff them, and consequently separates centromeric regions and 45S rDNA repeats.

cell biology↗

bioRxiv2019

Neoproterozoic origin and multiple transitions to macroscopic growth in green seaweeds

The Neoproterozoic Era records the transition from a largely bacterial to a predominantly eukaryotic phototrophic world, creating the foundation for the complex benthic ecosystems that have sustained Metazoa from the Ediacaran Period onward. This study focusses on the evolutionary origins of green seaweeds, which play an important ecological role in the benthos of modern sunlit oceans and likely played a crucial part in the evolution of early animals by structuring benthic habitats and providing novel niches. By applying a phylogenomic approach, we resolve deep relationships of the core Chlorophyta (Ulvophyceae or green seaweeds, and freshwater or terrestrial Chlorophyceae and Trebouxiophyceae) and unveil a rapid radiation of Chlorophyceae and the principal lineages of the Ulvophyceae late in the Neoproterozoic Era. Our time-calibrated tree points to an origin and early diversification of green seaweeds in the late Tonian and Cryogenian periods, an interval marked by two global glaciations, with strong consequent changes in the amount of available marine benthic habitat. We hypothesize that the unicellular and simple multicellular ancestors of green seaweeds survived these extreme climate events in isolated refugia, and diversified following recolonization of benthic environments that became increasingly available as sea ice retreated. An increased supply of nutrients and biotic interactions such as grazing pressure has likely triggered the independent evolution of macroscopic growth via different strategies, including both true multicellularity, and multiple types of giant celled forms.\n\nSignificance StatementGreen seaweeds are important primary producers along coastlines worldwide, and likely played a key role in the evolution of animals. To understand their origin and diversification, we resolve key relationships among extant green algae using a phylotranscriptomic approach. We calibrate our tree using available fossil data, to reconstruct important evolutionary events such as transitions to benthic environments, and evolution of macroscopic growth. We estimate green seaweeds to have originated in the late Tonian/Cryogenian Period, followed by a marked Ordovician diversification of macroscopic forms. This ancient proliferation of green seaweeds likely modified shallow marine ecosystems, which set off an evolutionary arms race between ever larger seaweeds and grazers.

evolutionary biology↗

bioRxiv2017

PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization

MotivationComparative and evolutionary studies utilise phylogenetic trees to analyse and visualise biological data. Recently, several web-based tools for the display, manipulation, and annotation of phylogenetic trees, such as iTOL and Evolview, have released updates to be compatible with the latest web technologies. While those web tools operate an open server access model with a multitude of registered users, a feature-rich open source solution using current web technologies is not available.\n\nResultsHere, we present an extension of the widely used PhyloXML standard with several new options to accommodate functional genomics or annotation datasets for advanced visualization. Furthermore, PhyD3 has been developed as a lightweight tool using the JavaScript library D3.js to achieve a state-of-the-art phylogenetic tree visualisation in the web browser, with support for advanced annotations. The current implementation is open source, easily adaptable and easy to implement in third parties web sites.\n\nAvailabilityMore information about PhyD3 itself, installation procedures, and implementation links are available at http://phyd3.bits.vib.be and at http://github.com/vibbits/phyd3/.\n\nContactbits@vib.be

bioinformatics↗