Viorel Munteanu

RNA viruses represent an integral component of human-associated environments and human health. However, the ecology of environmental RNA viruses remains largely unexplored. Here, we analyzed 2922 metatranscriptomic samples collected from urban and surrounding environments—including human-dense settings (e.g., transit hubs, hospitals, banks), alongside peri-urban settings — across 102 cities in 31 countries and constructed the Urban & Peri-urban RNA Virus Atlas (UPVAtlas), comprising 54,945 RNA viruses, 77% of which had not been previously observed. Phylogenetic reconstruction based on RNA-dependent RNA polymerases from UPVAtlas greatly expanded the evolutionary diversity of RNA viruses, leading to the identification of two potential candidate phyla, one candidate class, and several unclassified clades. Host association analyses further revealed the ecological complexity of environmental RNA viruses, with the diversity of vertebrate-related and ESKAPE pathogen-related viruses underscoring the importance of continued monitoring of urban environments for tracking RNA viral prevalence and dynamics, with direct relevance to future public health.

Cardiomyopathies comprise a heterogeneous group of myocardial disorders characterized by intrinsic structural and functional abnormalities that are not explained by secondary cardiovascular or systemic conditions. Although genetically determined cardiomyopathies have traditionally been interpreted within a Mendelian framework, this paradigm does not fully account for the marked variability in penetrance, expressivity, and clinical outcomes observed in affected individuals. Increasing evidence indicates that disease manifestation arises from a complex interplay between rare pathogenic variants, common genetic variation, epigenetic regulation, environmental factors, and stochastic molecular processes. This review focuses on hypertrophic and dilated cardiomyopathies, the most prevalent and extensively studied forms, and critically examines how epigenetic mechanisms, genetic modifiers, and molecular noise challenge classical pathophysiology concepts. We discuss how these factors contribute to phenotypic heterogeneity and influence disease severity, progression, and therapeutic response. Recognition of this multilayered genetic architecture has important clinical implications, supporting more refined risk stratification, improved genetic counseling, and the development of personalized and potentially variant-agnostic therapeutic strategies.

Metagenomic analysis of microbial communities relies significantly on the quality and completeness of reference genomes, which allow researchers to compare sequencing reads against reference genome collections to reveal essential community characteristics. However, the reliability of these analyses is often compromised by substantial discrepancies across existing reference resources, including differences in genome content, assembly fragmentation, taxonomic representation, and metadata completeness. While these inconsistencies are known to introduce bias, the extent of divergence between major databases remains largely unknown. Here, we present a comprehensive benchmark of discrepancies across multiple widely used microbial genome reference resources. We developed the Cross-DB Genomic Comparator (CDGC), which utilizes reference genome alignments to systematically capture discrepancies in genome assemblies across reference databases. Applying this framework, we found that 99% of viral genomes were identical across databases, indicating strong consistency in viral reference resources. In contrast, fungal genomes showed substantially greater variability: although 82% of assemblies exhibited at least 90% similarity, only 7% were identical across databases. More concerning, we identified a subset of 461 assemblies with less than 50% similarity, suggesting the presence of technical artifacts, incomplete assemblies, or damaged genome files that require closer examination. Collectively, these results demonstrate that systematic cross-database benchmarking provides a critical mechanism for refining the accuracy of individual reference databases and advancing efforts towards more unified and reliable universal reference genomes.

Disparities in formal bioinformatics training exacerbate the global skills gap, impeding the democratized application of advanced genomic technologies. To bridge this divide, we introduce a scalable, hybrid training framework designed to rapidly accelerate regional bioinformatics capacity. We exemplify this approach through the Eastern European Bioinformatics and Genomics (EEBG) workshop series — a cross-disciplinary initiative that pairs international faculty with local institutions to deliver modular, hands-on curricula. Functioning as a structured knowledge-transfer pipeline, the series has catalyzed a sustainable educational ecosystem, evidenced by the establishment of multiple independent summer schools across the region. The assessment of the 2025 EEBG workshop in Kraków, Poland, validates the model’s viability; participant metrics confirm high efficacy in skill acquisition (mean satisfaction: 4.4/5.0) and community building. Crucially, the hybrid delivery mode dismantled geographic barriers, serving as a vital mechanism for maintaining scientific continuity for researchers facing displacement and crisis. Synthesizing these outcomes, we define the core features of a replicable blueprint for scientific readiness in resource-constrained environments. We conclude by presenting a strategic roadmap — organized around infrastructure standardization, governance sustainability, and geographical expansion — for adapting this regional proof-of-concept into a global export-ready model, offering a critical path toward ensuring universal access to genomic innovation.

Wastewater-based genomic surveillance (WWGS) has proven effective for monitoring SARS-CoV-2 and other viruses within communities. It enables rapid detectio