Urban Pathogen Genomic Surveillance

UPGRADE – Urban Pathogen Genomic Surveillance Network

A dynamic Romanian-Moldovan research collaboration for rapid pathogen identification and real-time genomic surveillance in complex urban environments. Monitoring antimicrobial resistance genes and pathogens in university campuses through Oxford Nanopore sequencing and advanced bioinformatics, strengthening regional public health surveillance.

  • Oxford Nanopore GridION sequencing
  • One Health approach
  • Real-time AMR surveillance
  • Modular bioinformatics framework

From on-site sampling to interactive dashboards in a single modular framework.

End-to-end workflow: sampling → sequencing → analytics
UPGRADE workflow: urban sampling, sample processing, Nanopore sequencing, raw data, bioinformatics analysis, pathogen and ARG identification, platform reporting

Project Overview

UPGRADE addresses the urgent global challenge of antimicrobial resistance (AMR), with projections estimating over 39 million deaths by 2050. This Romanian-Moldovan collaboration establishes comprehensive genomic surveillance in university campuses—dynamic, densely populated environments where human, animal, and environmental factors converge. University campuses with over 10,000 daily interactions serve as representative urban microcosms for studying pathogen transmission and ARG circulation.

39M+AMR deaths projected by 2050
10,000+Daily campus interactions
100+Environmental samples

Campus surveillance

Over 100 environmental samples collected from high-traffic university locations: restaurants, cafes, study rooms, laboratories, and outdoor spaces. Comprehensive metadata including seasonal variations, temperature, humidity, and demographic data.

Nanopore sequencing

Oxford Nanopore GridION platform with R9.4.1 flow cells for 72-hour deep sequencing. Optimized DNA extraction protocols using Quick-DNA HMW MagBead Kit and automated library preparation for complex environmental metagenomics.

Romanian-Moldovan collaboration

Romania leads sample generation and sequencing infrastructure. Moldova specializes in bioinformatics framework development and data analysis. Joint dissemination through publications, conferences, and the UP-GEN platform.

UPGRADE Workflow

A comprehensive 24-month project structured into 5 work packages: from systematic campus sampling and metadata collection through Oxford Nanopore sequencing, to modular bioinformatics analysis and community platform deployment. Weekly samples collected across four seasons from university restaurants, cafes, laboratories, and public spaces.

UPGRADE workflow: (A) urban sampling and metadata collection, sample processing, Nanopore sequencing; (B) raw data, bioinformatics analysis, pathogens and ARGs identification, platform reporting (UP-GEN)
A

Sampling & Laboratory Processing

  • Weekly triplicate sampling from 4 location types per ISO 5667-10:2020
  • Environmental metadata: temperature, humidity, seasonality, demographics
  • DNA extraction with Quick-DNA HMW MagBead Kit and AMPure XP cleanup
  • Quality verification: Nanodrop 2000, Qubit 4, Tapestation 4200
  • Library prep with ONT SQK-LSK109 kit for GridION sequencing
B

Bioinformatics & Platform

  • Quality control with NanoPlot and Filtlong
  • Assembly with Flye, polishing with Racon and Medaka
  • ARG annotation using Abricate against CARD database
  • Taxonomic classification with Sourmash and Kraken2
  • Functional profiling with Prokka and Bayesian modeling
  • UP-GEN platform deployment with interactive visualization

Work Packages & Components

Five integrated work packages spanning project coordination, sample collection, bioinformatics framework development, platform deployment, and knowledge dissemination.

WP1

Project Management

24-month coordination led by USV with TUM participation. Monthly meetings, risk management, resource allocation, and progress monitoring ensuring seamless Romanian-Moldovan collaboration.

WP2

Sample Collection

100+ environmental samples from Suceava University campus. Systematic weekly collection, comprehensive metadata, streamlined DNA extraction and GridION sequencing protocols.

WP3

Bioinformatics Framework

Modular analysis pipeline for long-read metagenomics. Tool benchmarking (Flye, Kraken2, MetaPhlAn, DeepARG), functional profiling, environmental metadata integration, and automated reporting.

WP4

UP-GEN Platform

Community-oriented cloud platform for pathogen surveillance. Interactive GUI with geospatial visualization, temporal analysis, microbial profiling tools, and curated urban surveillance datasets.

WP5

Dissemination

Scientific publications in Q1/Q2 journals, presentations at RoBioinfo, ECCO2026, ESCMID conferences. Exploration of Horizon Europe and JPIAMR funding opportunities.

Infrastructure

Research Infrastructure

USV: Molecular Biology Lab, GridION/MinION sequencers, Ion GeneStudio 5, Cloud & Big Data Center. TUM: CIRCLE high-performance computing. Both registered on EERTIS platform.

Research Team

A complementary Romanian-Moldovan collaboration bringing together expertise in microbiology, molecular biology, bioinformatics, and software engineering.

  • RF
    Roxana Filip Project Director, USV

    Professor HABIL, expert in bacterial resistance mechanisms

  • IR
    Inna Rastimesina Co-Director, TUM

    Environmental microbiology and biotransformation

  • MD
    Mihai Dimian Senior Researcher, USV

    160+ publications, Rector of USV

  • LA
    Liliana Anchidin-Norocel

    Metagenomics expertise

  • DC
    Dumitru Ciorbă

    Computational biology and bioinformatics

  • VM
    Viorel Munteanu

    Bioinformatics research

  • EC
    Eugeniu Catlabuga

    Software engineering & platform development

Project Timeline & Deliverables

24-month project with structured milestones and deliverables across five work packages. Building on previous RoGenoFil and MetBio-WGSP experience for accelerated implementation.

01 Month 1–12
  • Kick-off meeting
  • Protocol standardization
  • 100 environmental samples with metadata
  • Laboratory protocol documentation
  • Initial sequencing data and pathogen/ARG profiles
02 Month 6–18
  • Framework design and module prototypes
  • Tool benchmarking reports
  • Platform architecture and GUI development
  • UP-GEN deployment with core analytical tools
03 Month 12–24
  • Final bioinformatics framework and user guide
  • 2 high-impact publications
  • 3 conference presentations
  • Technical support documentation
  • Annual progress reports

Cognitive and Socio-Economic Impact

Scientific, cognitive and socio-economic contributions generated through environmental genomic surveillance and advanced bioinformatics.

Scientific impact

The activities carried out generate a direct scientific impact through the development of a complete and reproducible methodological framework for environmental genomic surveillance. This includes the standardization of sampling and processing protocols, the generation of a coherent set of urban samples with associated metadata, and the implementation of an integrated bioinformatics workflow for their analysis.

The integration of these components within the UP-GEN platform enables a scalable analytical infrastructure that ensures parameter traceability, supports the integration of geospatial data, and allows robust detection of microbial taxonomy and antimicrobial resistance determinants.

RO–MD

These results strengthen the regional research capacity (RO–MD) to perform high-resolution metagenomic analyses aligned with international standards.

Cognitive perspective

The work advances the understanding of urban microbiome dynamics and the mechanisms underlying the spread of antimicrobial resistance.

Socio-economic perspective

It provides a scientific basis for evidence-based public health policies, supports urban health monitoring, and contributes to the management and mitigation of biological risks in complex environments.

Dissemination of Results

Conferences

  • Smart Diaspora 2025
  • November 4–7, 2025
  • Cluj-Napoca, Romania

Romanian Scientific Diaspora Conference, where the presentation entitled “Building Bioinformatics Capacity in Moldova” was delivered in the session “Perspectives in AI-Driven Computational Biology.”

Conference website

Publications

  • Genome Biology
  • Vol. 27, 1 (2026)

Munteanu, V., Saldana, M.A., Dreifuss, D. et al. SARS-CoV-2 wastewater genomic surveillance: approaches, challenges, and opportunities. Genome Biol 27, 1 (2026).

Read the article (DOI)