Biology subjects

Declerck, S.

Publications and source records attributed to Declerck, S..

8 recordsLinked to original sources

bioRxiv2026

A new automated pipeline for whole genome shotgun sequencing analysis and hazard characterization of microbial pesticides

Microbial pesticides are increasingly important for sustainable crop protection, yet hazard analysis and risk assessment remain challenging and require specific characterization of properties relevant to both safety and biological activity. Whole-genome sequencing (WGS) can support the identification of microorganisms at high resolution and characterize potential hazards associated with infectivity, pathogenicity, antimicrobial resistance, and toxic metabolite production. However, the routine use of WGS in this context requires accessible, reproducible, and interpretable workflows. Here, we present a publicly available web-based workflow for WGS-supported hazard analysis of microbial biocontrol agents. The workflow accepts assembled genomes as well as short-read, long-read and hybrid sequencing data, and performs genome quality assessment, taxonomic assignment, genome annotation, AMR detection, mobile-element screening, pathogenicity prediction and secondary-metabolite analysis, and compiles the results into an HTML report. For bacterial agents, we implement a transparent rule-based risk-classification module integrating taxonomic identity, PathogenFinder2 predictions, CARD/RGI resistance evidence, WHO priority taxa, and medically important antimicrobial categories. Secondary-metabolite assessment combines antiSMASH with local BLAST searches and EFSA-aligned identity/coverage thresholds to support product-level interpretation of biosynthetic gene clusters. Comparison with the currently used MOpS workflow developed by EFSA demonstrates the added benefits of the proposed workflow for a guided hazard analysis of microbial pesticides. The workflow is intended as a community-accessible pre-assessment tool that complements regulatory platforms by improving transparency, reproducibility, and early identification of potential hazards in microbial biocontrol candidates, envisioned to make WGS an integral part of the risk assessment of microbial pesticides. Key pointsO_LIThe RATION-GUI provides a public, reproducible workflow for whole-genome sequencing- supported hazard characterization of bacterial and fungal microbial pesticides. C_LIO_LIThe workflow integrates genome quality, taxonomy, annotation, antimicrobial resistance, pathogenicity-related evidence, mobile elements, and secondary-metabolite potential. C_LIO_LIDomain-specific outputs are translated into structured hazard indicators, evidence summaries, and recommended follow-up actions without replacing expert regulatory judgment. C_LIO_LICase studies demonstrate how the workflow improves transparency, traceability, and interpretation of genomic evidence for microbial pesticide risk assessment. C_LI

bioinformatics↗

bioRxiv2026

Intricate asymbiotic hyphal interactions of Rhizophagus irregularis revealed with single-plane observations in a new microfluidic device

Arbuscular mycorrhizal fungi (AMF) are essential symbionts to most land plants. There is great interest in using AMF inoculation treatments to enhance restoration or agricultural efforts. However, little is known about AMF asymbiotic interactions that could shape soil ecosystems and inoculation outcomes. Studying these early traits is challenging given the obligate nature of AMF. Microfluidic devices enable high-resolution, single-plane, time-resolved observation of AMF hyphal traits in controlled, plant-less environments. The AMF-AnastomosisChip, introduced in this work, additionally separates spores and hyphae into lanes for detailed observations prior to entering a shared interaction zone. Using this device with Rhizophagus irregularis, we phenotyped key hyphal traits from germination to anastomosis. We compared the effect of a fatty acid (FA) treatment to other environmental factors in shaping AMF growth and fusion (anastomosis). Among our results, we confirm known effects of the FA treatment in increasing hyphal branching and longevity but interestingly show that multiple hyphae in a lane can negate FA effects. We also newly reveal that anastomosis occurs for 100% of interactions among hyphae from different lanes, but only for 50% of in-lane interactions, potentially linked to spore origin. Our findings validate the AMF-AnastomosisChip as a versatile platform for increasing discovery in trait-based microbial ecology, including for asymbiotic AMF interactions with environmental factors. This work sets the foundation for future studies with the AMF-AnastomosisChip on the effects of nutrient content, plant-derived molecules, or microbial community members on the AMF traits characterized in this study.

microbiology↗

bioRxiv2025

Additive effects of environmental and demographic variation shape the repeatability of evolution across replicated experiments

The repeatability of evolution is fundamentally important for understanding the origin and diversification of life as well as for developing evolutionary forecasting tools. Repeatability is limited by stochasticity, here defined as changes that are independent of genotypic fitness effects. Over short timescales, the two main sources of stochasticity of evolutionary change are environmental stochasticity and demographic (life-history) stochasticity. Quantifying the relative importance of these two sources of stochasticity in driving fitness outcomes is crucially important for predicting evolutionary responses. To gain insights in the effects of stochasticity, five institutes replicated an evolutionary experiment exposing Caenorhabditis elegans to novel rearing conditions. Replication across the institutes led to variation in selective environments, e.g. through divergent microbiomes among institutes. Replication within institutes was done across demographic treatments that influence the potential for population-size dependent fluctuations in allele frequencies (drift) and genetic hitchhiking (draft). We found high among-institute variation in fitness outcomes, which was partially explained by variation in microbiota. Whereas lab-specific effects explained most of the variance in mean fitness, the repeatability of fitness outcomes depended more on demographic heterogeneity. Specifically, population bottlenecks resulted in high among-replicate variation in fitness. When combined, environmental and demographic stochasticity additively reduced repeatability, underlining their additive importance in developing evolutionary forecasting tools. These results further highlight the importance of statistically integrating heterogeneity in experimental evolution to identify factors constraining outcome repeatability and study replicability.

evolutionary biology↗

bioRxiv2023

Deciphering the biology and chemistry of the mutualistic partnership between Bacillus velezensis and the arbuscular mycorrhizal fungus Rhizophagus irregularis

Arbuscular mycorrhizal (AM) fungi (e.g. Rhizophagus irregularis) recruit specific bacterial species in their hyphosphere. However, the chemical interplay and the mutual benefit of this intricate partnership have not yet been investigated especially as it involves bacteria known as strong producers of antifungal compounds such as Bacillus velezensis. Here, we show that the soil dwelling B. velezensis migrates along the hyphal network of the AM fungus R. irregularis, forming biofilms and inducing metabolic fluxes that contributes to host plant root colonization by the bacterium. During hyphosphere colonization, R. irregularis modulates the biosynthesis of specific lipopeptides and antimicrobial compounds in B. velezensis as a mechanism toward-off mycoparasitic fungi and bacteria to ensure stable coexistence. These mutual benefits are extended into a tripartite context via the provision of enhanced protection to the host plant through the induction of systemic resistance.

microbiology↗

bioRxiv2023

AMF-SporeChip provides new insights into arbuscular mycorrhizal fungal pre-symbiotic hyphal growth dynamics at the cellular level.

O_LIArbuscular mycorrhizal fungi (AMF) form symbiotic associations with the majority of land plants and deliver a wide range of soil-based ecosystem services. Due to their conspicuous belowground lifestyle in a dark environment surrounded by soil particles, much is still to be learned about the influence of environmental (i.e., physical) cues on spore germination, hyphal morphogenesis and hyphopodium formation in AMF. C_LIO_LITo fill existing gaps in AMF knowledge, we developed a new microfluidic platform - termed the AMF-SporeChip - to immobilise Rhizophagus and Gigaspora spores and confront pre-symbiotic hyphae with physical obstacles. In combination with timelapse microscopy, the fungi could be examined at the cellular level and in real-time. C_LIO_LIThe AMF-SporeChip allowed us to acquire movies with unprecedented visual clarity and therefore identify various exploration strategies of AMF pre-symbiotic hyphae. We witnessed anastomosis formation involving directed hyphal growth in a "stop-and-go" manner, yielding visual evidence of pre-anastomosis signalling and decision-making. Remarkably, we also revealed a so-far undescribed reversible cytoplasmic retraction as part of a highly dynamic space navigation. C_LIO_LIOur findings demonstrated how AMF employ an intricate mechanism of space searching, involving reversible cytoplasmic retraction, branching and directional changes. In turn, the AMF-SporeChip is expected to open many future frontiers for AMF research. C_LI

microbiology↗

bioRxiv2022

CRitical Assessment of genomic COntamination detection at several Taxonomic ranks (CRACOT)

BackgroundGenome contamination is a well-known issue in (meta)genomics. Although it has received a lot of attention, with an increasing number of detection tools made available over the years, no comparison between these tools exists in the literature. ResultsHere, we report the benchmarking of six of the most popular tools using a simulated framework. Our simulations were conducted on six different taxonomic ranks, from phylum to species. The analysis of the estimated contamination levels indicates that the precision of the tools is not good, often due to large overdetection but also underdetection, especially at the genus and species ranks. Furthermore, our results show that only redundant contamination is accurately estimated. ConclusionOur results indicate that using a combination of tools, including Kraken2, is necessary to estimate the contamination level accurately. We also provide a freely available contamination simulation framework, CRACOT, which may be useful for estimating the accuracy of future algorithms.

bioinformatics↗

bioRxiv2022

The GEN-ERA toolbox: unified and reproducible workflows for research in microbial genomics .

BackgroundMicrobial culture collections play a key role in taxonomy by studying the diversity of their accessions and providing well characterized strains to the scientific community for fundamental and applied research. These microbial resource centers thus need to implement new standards in species delineation, including whole-genome sequencing and phylogenomics. In this context, the genomic needs of the Belgian Coordinated Collections of Microorganisms (BCCM) were studied, resulting in the GEN-ERA toolbox. The latter is a unified cluster of bioinformatic workflows dedicated to both bacteria and small eukaryotes (i.e. yeasts). FindingsThis public toolbox allows researchers without a specific training in bioinformatics to perform robust phylogenetic analyses. Hence, it facilitates all steps from genome downloading and quality assessment, including genomic contamination estimation, to tree reconstruction. It also offers workflows for average nucleotide identity comparisons and metabolic modeling. Technical detailsNextflow workflows are launched by a single command and are available on the GEN-ERA GitHub repository (https://github.com/Lcornet/GENERA). All the workflows are based on Singularity containers to increase reproducibility. TestingThe toolbox was developed for a diversity of microorganisms, including bacteria and fungi. It was further tested on an empirical dataset of 18 (meta)genomes of early-branching Cyanobacteria, providing the most up-to-date phylogenomic analysis of the Gloeobacterales order, the first group to diverge in the evolutionary tree of Cyanobacteria. ConclusionThe GEN-ERA toolbox can be used to infer completely reproducible comparative genomic and metabolic analyses on prokaryotes and small eukaryotes. Although designed for routine bioinformatics of culture collections, it can also be useful for other applications, as shown by our case study on Gloeobacterales.

bioinformatics↗

bioRxiv2018

Transcriptome analysis of mycorrhizal and non-mycorrhizal soybean plantlets upon infection with Fusarium virguliforme, one causal agent of sudden death syndrome

Soilborne pathogens represent a threat to agriculture causing important yield losses. The \"Sudden Death Syndrome\" (SDS), a severe disease in soybean is caused by a complex of Fusarium species. This pathosystem has been widely investigated and several strategies were proposed to manage SDS. Although a decrease in symptoms and in the level of root tissue infection particularly by F. virguliforme was observed in presence of arbuscular mycorrhizal fungi (AMF), biological control based on AMF has received less attention. Here we report the results, under strict in vitro culture experimental conditions, a transcriptional analysis in mycorrhizal versus non-mycorrhizal soybean plantlets upon infection by F. virguliforme. An important transcriptional reprogramming was detected following infection by the pathogen. Results revealed 1768 and 967 differentially expressed genes in the AMF-colonized (+AMF+Fv) and non-colonized (-AMF+Fv) plants, respectively. Major transcriptional changes, corresponded to defence response related genes belonging to secondary metabolism, stress and signalling categories. The +AMF+Fv treatment showed the largest number of upregulated genes related to defence, as those encoding for disease resistance proteins, WRKY transcription factors, auxins, receptors kinases, and proteases. Only few genes had primed expression in +AMF+Fv treatment, as those coding for a thaumatin-like protein (TLP) and a pleiotropic drug resistance (PDR) protein. Moreover, +AMF+Fv showed a significant number of downregulated genes related to cell wall modification and peroxidases than - AMF+Fv treatment. This detailed insight increases our knowledge on the transcriptional changes and the potential metabolic pathways involved in the enhanced resistance/tolerance of mycorrhizal plants upon infection with F. virguliforme.

plant biology↗