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Poster

Session: Session 2 Presenting Authors at Posters (Evens)

P-342 - Genome sequencing for metabolic modelling of Soft Rot Pectobacteriaceae

Thursday, July 17, 2025
13:30 - 15:15  
Location: Confex Hall 3
Plant microbiota functions and intermicrobial interactions

    Presenting Author(s)

  • RN

    Rune Haugland Navarsete

    Norwegian University of Life Sciences (NMBU)
    Ã…s, Akershus, Norway

    • Author(s)

  • MB

    May Bente Brurberg

    NIBIO - Norwegian Institute of Bioeconomy Research
    Ã…s, Akershus, Norway

  • OÃ

    Ove Øyås

    Oslo Centre for Biostatistics & Epidemiology (OCBE)
    Oslo, Oslo, Norway

  • MS

    Monica Skogen

    Senior Engineer
    NIBIO - Norwegian Institute for Bioeconomy Research
    Ã…s, Akershus, Norway

  • IA

    Inger-lise Akselsen

    NIBIO - Norwegian Institute of Bioeconomy Research
    Ã…s, Akershus, Norway

  • JP

    Juliana Perminow

    NIBIO - Norwegian Institute of Bioeconomy Research
    Ã…s, Akershus, Norway

  • JV

    Jon Olav Vik

    Norwegian University of Life Sciences (NMBU)
    Ã…s, Akershus, Norway

  • SR

    Simeon Lim Rossmann

    Norwegian University of Life Sciences (NMBU)
    Ã…s, Akershus, Norway

Soft Rot Pectobacteriaceae (SRP) are phytopathogenic bacteria that cause rot in a diverse range of plants, including potato tubers and stems. Co-infections of multiple SRP species in a single potato tuber may interact cooperatively, competitively, or antagonistically. However, the factors that determine these interactions are not well understood. We aim to use metabolic modelling of the pathogens’ enzymatic pathways deduced from whole genome sequencing (WGS) to reveal trophic interactions that explain and predict the outcomes of different co-infections in experimental data. Thus far, we sequenced the genomes from about 100 Norwegian isolates suspected to be SRPs using the Oxford Nanopore Rapid Barcoding kit and MinION sequencing device. To assess the quality of the resulting assemblies, we included a previously PacBio-sequenced isolate of Pectobacterium polaris. This yielded a de novo assembly of 4.8 Mbp and 47x coverage with zero mismatches and 114 insertions compared to the PacBio assembly; a theoretical accuracy of >99.99997%. This quality is sufficient for the intended metabolic modeling. Long-read sequencing has the potential to offer cheap and accurate de novo assemblies of plant-associated bacteria, even for samples not originally intended for long reads, as was our case. Metabolic modeling of SRP co-infections based on de novo WGS is a promising component of predicting co-infection outcomes.