Biology subjects

Paragkamian, S.

Publications and source records attributed to Paragkamian, S..

5 recordsLinked to original sources

bioRxiv2026

Halophytic endophytes provide transferable immune functions for crop resilience

Halophytic microbiomes represent an untapped reservoir of stress-adapted microbial functions, yet whether these functions can be transferred across ecological boundaries to enhance crop immune resilience remains unknown. Here we show that Kushneria, a halophyte-associated genus with broad environmental resilience, confers robust disease protection in tomato and cucumber plants against fungal and oomycete pathogens despite lacking direct antagonistic activity. Comparative genomics across 26 genomes revealed extensive biosynthetic novelty and conserved catabolic clusters associated with rhizosphere competence, providing a genomic framework for persistence of Kushneria in saline environments. Multi-omics profiling associated protection with a distinct host immune regulatory response, characterized by strong induction of core NLR receptors, including a ZAR1 paralogue. This response was further linked to a previously uncharacterized long noncoding RNA, Solyc10r048010.1, connected to the induced NLR network. Our findings establish halophytic endophytes as field-validated and transferable modulators of crop immunity and identify a candidate regulatory RNA-NLR axis associated with Kushneria-induced disease resistance.

microbiology↗

bioRxiv2026

A Thousand Meters Deep: Vertical Profiling of the Subterranean Microbiome of Gourgouthakas Cave

IntroductionCaves represent unique, nutrient-limited windows into the deep biosphere, yet the microbiology of the deep terrestrial subsurface remains remarkably under-explored. In this work, we conducted a rare expedition into Gourgouthakas Cave (Crete, Greece), one of the worlds deepest vertical systems, which had remained untouched by humans for 19 years. MethodsWe performed a high-resolution vertical profiling of the caves microbes by sampling rock surfaces across nine different depths down to 1,100 meters. Through extensive cultivation on various media and at different temperatures, we established a biobank of 820 bacterial isolates. ResultsTaxonomic identification of a 374-isolate subset revealed a diverse community spanning 35 genera and 4 phyla, dominated by Pseudomonas, Aquipseudomonas, Bacillus, and Stenotrophomonas. Beyond characterizing this taxonomic diversity, we explored the biotechnological potential of these subterranean microbes against major agricultural threats. Screening 70 representative isolates against six key pathogens, including Ralstonia solanacearum, Verticillium dahliae, and Phytophthora nicotianae, uncovered a notable group of strains with potent antagonistic activity, particularly within the Pseudomonas and Brevibacillus groups. Genomic sequencing of cave-derived Actinobacteria (Streptomyces and Nocardiopsis isolates) further highlighted this potential, revealing 142 biosynthetic gene clusters (BGCs), over half of which showed little to no similarity to known clusters, suggesting a hidden reservoir of novel secondary metabolites. Pangenomic analysis of Streptomyces revealed 1,497 unique gene clusters. Finally, ex vivo trials showed that the Aquipseudomonas paracarnis (formerly Pseudomonas sp.) isolate SRL917 significantly reduced Botrytis cinerea infections on tomato leaves, even surpassing the performance of a commercial biocontrol agent. DiscussionCollectively, our results demonstrate that deep karstic systems are not merely geological wonders but vital hotspots for microbial innovation with tangible applications for sustainable agriculture.

microbiology↗

bioRxiv2026

Unravelling the genomic and functional arsenal of Bacilli endophytes from plants with different lifestyles

Endophytic microbiomes of crop wild relatives (CWRs) adapted to extreme environments, such as halophytes, are promising sources of plant-beneficial bacteria and secondary metabolites for sustainable food production. Here, we analyzed 25 Bacilli isolates obtained from CWRs, halophytes, and other plant species in Crete, Greece. Using a hybrid Illumina-PacBio sequencing approach, we generated high-quality genomes and performed comparative genomics, phylogenetic, and pangenome analyses, complemented by in vitro assays. We identified 312 biosynthetic gene clusters (BGCs), nearly 60% of which showed no similarity to known clusters, revealing extensive unexplored biosynthetic potential. These unique BGCs may constitute an adaptive feature enabling endophytic Bacilli to colonize and interact with host plants. The isolates spanned diverse genera (Bacillus, Paenibacillus, Peribacillus, Neobacillus, Cytobacillus, Rossellomorea), including three novel species. Phenotypic assays of our isolates demonstrated high salinity tolerance (up to 17.5% w/v NaCl) and strong antagonism against major bacterial and fungal phytopathogens. Genome mining further revealed a broad array of putatively plant-beneficial traits related to growth promotion, stress adaptation, host interaction and inhibition of pathogens. Together, these findings show that Bacilli endophytes from wild and halophytic plants possess exceptional phylogenetic novelty, functional diversity, and biosynthetic capacity, providing new genomic and ecological insights into Bacilli associated with plants inhabiting extreme environments.

microbiology↗

bioRxiv2022

Arena3Dweb: Interactive 3D visualization of multilayered networks supporting multiple directional information channels, clustering analysis and application integration

Arena3Dweb is an interactive web tool that visualizes multi-layered networks in 3D space. In this update, Arena3Dweb supports directed networks as well as up to nine different types of connections between pairs of nodes with the use of Bezier curves. It comes with different color schemes (light/gray/dark mode), custom channel coloring, four node clustering algorithms which one can run on-the-fly, visualization in VR mode and predefined layer layouts (zig-zag, star and cube). This update also includes enhanced navigation controls (mouse orbit controls, layer dragging and layer/node selection), while its newly developed API allows integration with external applications as well as saving and loading of sessions in JSON format. Finally, a dedicated Cytoscape app has been developed, through which users can automatically send their 2D networks from Cytoscape to Arena3Dweb for 3D multi-layer visualization. Arena3Dweb is accessible at http://arena3d.pavlopouloslab.info or http://arena3d.org

bioinformatics↗

bioRxiv2021

OnTheFly2.0: a text-mining web application for automated biomedical entity recognition, document annotation, network and functional enrichment analysis

Extracting and processing information from documents is of great importance as lots of experimental results and findings are stored in local files. Therefore, extracting and analysing biomedical terms from such files in an automated way is absolutely necessary. In this article, we present OnTheFly2.0, a web application for extracting biomedical entities from individual files such as plain texts, Office documents, PDF files or images. OnTheFly2.0 can generate informative summaries in popup windows containing knowledge related to the identified terms along with links to various databases. It uses the EXTRACT tagging service to perform Named Entity Recognition (NER) for genes/proteins, chemical compounds, organisms, tissues, environments, diseases, phenotypes and Gene Ontology terms. Multiple files can be analysed, whereas identified terms such as proteins or genes can be explored through functional enrichment analysis or be associated with diseases and PubMed entries. Finally, protein-protein and protein-chemical networks can be generated with the use of STRING and STITCH services. To demonstrate its capacity for knowledge discovery, we interrogated published meta-analyses of clinical biomarkers of severe COVID-19 and uncovered inflammatory and senescence pathways that impact disease pathogenesis. OnTheFly2.0 currently supports 197 species and is available at http://onthefly.pavlopouloslab.info.

bioinformatics↗