A5008328585- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Photosynthetic Processes and Mechanisms
- Bioinformatics and Genomic Networks
- Genetic Mapping and Diversity in Plants and Animals
- Light effects on plants
- Plant tissue culture and regeneration
- 3D Printing in Biomedical Research
- Plant Gene Expression Analysis
- Gene Regulatory Network Analysis
- Plant Reproductive Biology
- Plant-Microbe Interactions and Immunity
- Gene expression and cancer classification
- Advanced Proteomics Techniques and Applications
- Plant Virus Research Studies
- Plant Disease Management Techniques
- Plant Physiology and Cultivation Studies
- Advances in Cucurbitaceae Research
- Postharvest Quality and Shelf Life Management
- Genomics and Chromatin Dynamics
- Lipid metabolism and biosynthesis
- Leaf Properties and Growth Measurement
- Food Chemistry and Fat Analysis
- Explainable Artificial Intelligence (XAI)
KU Leuven
2025
North Carolina State University
2018-2024
Ablynx (Belgium)
2023
VIB-UGent Center for Plant Systems Biology
2016-2018
Ghent University
2015-2018
Vlaams Instituut voor Biotechnologie
2015
Centre d'Enseignement et de Recherches des Industries Alimentaires et Chimiques
1987
Leaf growth is a tightly regulated and complex process, which responds in dynamic manner to changing environmental conditions, but the mechanisms that reduce under adverse conditions are rather poorly understood. We previously identified inhibitory pathway regulating leaf upon exposure low concentration of mannitol characterized ETHYLENE RESPONSE FACTOR (ERF)/APETALA2 transcription factor ERF6 as central activator both inhibition induction stress tolerance genes. Here, we describe role...
Abstract Drought stress is a major problem for agriculture worldwide, causing significant yield losses. Plants have developed highly flexible mechanisms to deal with drought, including organ‐ and developmental stage‐specific responses. In young leaves, growth repressed as an active mechanism save water energy, increasing the chances of survival but decreasing yield. Despite its importance, molecular basis this inhibition largely unknown. Here, we present novel approach explore early...
Plants have established different mechanisms to cope with environmental fluctuations and accordingly fine-tune their growth development through the regulation of complex molecular networks. It is largely unknown how network architectures change what key regulators in stress responses plant are. Here, we investigated a complex, highly interconnected 20 Arabidopsis transcription factors (TFs) at basis leaf inhibition upon mild osmotic stress. We tracked dynamic behavior stress-responsive TFs...
In plants, many signalling molecules, such as phytohormones, miRNAs, transcription factors, and small peptides, drive growth development. However, very few peptides have been shown to be necessary for lateral root Here, we describe the role of peptide RALFL34 during early events in development, demonstrate its specific importance orchestrating formative cell divisions pericycle. Our results further suggest that this acts on transcriptional cascade leading a new upstream GATA23, an important...
Repeated applications of phosphorus (P) fertilizers result in the buildup P soil (commonly known as legacy P), a large fraction which is not immediately available for plant use. Long-term and accumulations an inefficient use dwindling supplies can nutrient runoff, often leading to eutrophication water bodies. Although problematic some regards, it conversely may serve source crop could potentially decrease dependence on external fertilizer inputs. This paper reviews (1) current knowledge...
SUMMARY The architecture of the rice inflorescence is an important determinant crop yield. length and number branches are among key factors determining spikelets, thus grains, that a plant will develop. In particular, timing identity transition from indeterminate branch meristem to determinate spikelet governs complexity inflorescence. this context, ALOG gene TAWAWA1 ( TAW1 ) has been shown delay development in Oryza sativa (rice). Recently, by combining precise laser microdissection...
Leaf growth is a complex, quantitative trait, controlled by plethora of regulatory mechanisms. Diverse environmental stimuli inhibit leaf to cope with the perceived stress. In plant research, mannitol often used impose osmotic stress and study underlying growth-repressing growing tissue plants briefly exposed mannitol-induced stress, highly interconnected gene network induced. However, early signalling associated protein phosphorylation events that probably precede part these transcriptional...
Stem cells divide and differentiate to form all of the specialized cell types in a multicellular organism. In Arabidopsis root, stem are maintained an undifferentiated state by less mitotically active population called quiescent center (QC). Determining how QC regulates surrounding initials, or what makes fundamentally different from actively dividing is important for understanding divisions maintained. Here we gained insight into differences between cortex endodermis initials (CEI) studying...
Grafting has been adopted for a wide range of crops to enhance productivity and resilience; example, grafting Solanaceous couples disease-resistant rootstocks with scions that produce high-quality fruit. However, incompatibility severely limits the application graft remains poorly understood. In grafts, immediate results in rapid death, but delayed can take months or even years manifest, creating significant economic burden perennial crop production. To gain insight into genetic mechanisms...
The acquisition of quantitative information on plant development across a range temporal and spatial scales is essential to understand the mechanisms growth. Recent years have shown emergence imaging methodologies that enable capture analysis growth, from dynamics molecules within cells measurement morphometricand physiological traits in field-grown plants. In some instances, these methods can be parallelized multiple samples increase throughput. When high throughput combined with...
Abstract Common rust, caused by Puccinia sorghi , is a widespread and destructive disease of maize. The Rp1‐D gene confers resistance to the P. IN2 isolate, mediating hypersensitive cell death response (HR). To identify differentially expressed genes (DEGs) metabolites associated with compatible (susceptible) interaction ‐mediated in maize, we performed transcriptomics targeted metabolome analyses IN2‐infected leaves from near‐isogenic lines H95 H95:Rp1‐D, which differed for presence . We...
3D bioprinting is an additive manufacturing technology with promise towards facilitating tissue engineering and single-cell investigations of cellular development microenvironment responses. still a new in the field plant biology so its optimization cells widely needed. Here, we present study which parameters, such as needle gauge, extrusion pressure, scaffold type, were all tested bioprinted Tobacco BY-2 to evaluate how cell viability responsive each parameter. As result, this revealed...
Stem cells give rise to the entirety of within an organ. Maintaining stem cell identity and coordinately regulating divisions is crucial for proper development. In plants, mobile proteins, such as WUSCHEL-RELATED HOMEOBOX 5 (WOX5) SHORTROOT (SHR), regulate in root niche. However, how these proteins function establish systemic behaviour not well understood. We propose a non-cell autonomous role WOX5 cortex endodermis initial (CEI) identify regulator, ANGUSTIFOLIA (AN3)/GRF-INTERACTING FACTOR...
Summary Predicting gene regulatory networks (GRNs) from expression profiles is a common approach for identifying important biological regulators. Despite the increased use of inference methods, existing computational approaches often do not integrate RNA‐sequencing data analysis, are automated or restricted to users with bioinformatics backgrounds. To address these limitations, we developed tuxnet , user‐friendly platform that can process raw any organism an reference genome using modified...
Abstract Molecular biology aims to understand cellular responses and regulatory dynamics in complex biological systems. However, these studies remain challenging non-model species due poor functional annotation of proteins. To overcome this limitation, we develop a multi-layer neural network that determines protein functionality directly from the sequence. We annotate kinases phosphatases Glycine max . use annotations our network, Bayesian inference principles, high resolution...
Capturing cell-to-cell signals in a three-dimensional (3D) environment is key to studying cellular functions. A major challenge the current culturing methods lack of accurately capturing multicellular 3D environments. In this study, we established framework for bioprinting plant cells study cell viability, division, and identity. We long-term viability bioprinted Arabidopsis soybean cells. To analyze generated large image datasets, developed high-throughput analysis pipeline. Furthermore,...
ABSTRACT Elevated temperatures resulting from climate change adversely affect natural and crop ecosystems, necessitating the development of heat-tolerant crops. We established a framework to precisely identify wheat protein-phosphorylated sites associated with varying temperature sensitivities. identified specific kinases primarily temperature, but our results also suggest striking overlap between cold heat signaling. furthermore demonstrated that phosphorylation state set proteins creates...
Two hemibiotrophic pathogens, Colletotrichum acutatum (Ca) and C . gloeosporioides (Cg), cause anthracnose fruit rot crown in strawberry ( Fragaria × ananassa Duchesne), respectively. Both Ca Cg can initially infect through a brief biotrophic phase, which is associated with the production of intracellular primary hyphae that host cells without causing cell death establishing infection (HBI) or quiescent (latent infections) leaf tissues. The HBI nurseries subsequent distribution asymptomatic...
Gene expression is induced by transcription factors (TFs) through their activation domains (ADs). However, ADs are unconserved, intrinsically disordered sequences without a secondary structure, making it challenging to recognize and predict these regions limiting our ability identify TFs. Here, we address this challenge leveraging neural network approach systematically ADs. As input for network, used computed properties amino acid (AA) side chain rather than relying on the raw sequence....