bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.10.21.683785

Dynamic ecological interactions of two quarantine-concern Ralstonia strains in river water and plants

Abstract

Plant pathogenic Ralstonia belonging to the IIB-1 ("race 3 biovar 2") and I-33 (rose) subgroups are emerging quarantine and biosecurity threats. Both strains have been introduced to Europe, where they persist in weedy plants and surface water and cause occasional costly disease outbreaks. We combined in planta, in vitro, and environmental water microcosm experiments to determine if these two concerning strains are likely to co-exist in environments where they have become established or if one might be expected to displace the other. Using a representative strain from each subgroup we investigated the dynamics and fitness of these two Ralstonia pathogens across ecologically relevant environments. Interactions between the strains were context dependent: the presence of a competing strain had little impact on bacterial survival in river water microcosms, but the I-33 strain had a fitness advantage in wilt susceptible tomato plants. We found no evidence of direct growth inhibition by either strain in vitro. The IIB-1 strain persisted longer than I-33 in cool temperature river water microcosms. Warmer temperatures extended the culturability of both strains, which may be important as climate change warms surface water globally. Additionally, Ralstonia strains persisting in 20{degrees}C water microcosms for 6 months were still able to cause disease in tomato plants. Together, our results provide useful insight into the dynamics of these two strains in environments where they are currently established, which may inform management practices moving forward.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

O'Banion, B. S., Criscuolo, J. A., Li, H., Alderdice, A., Allen, C.. 2025-10-21. Dynamic ecological interactions of two quarantine-concern Ralstonia strains in river water and plants. https://doi.org/10.1101/2025.10.21.683785

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

Beta-lactam enhancement against methicillin-resistant Staphylococcus aureus by cell wall blockade is autolysis-dependent: a butyrolactone derivative as case in point

Methicillin-resistant Staphylococcus aureus (MRSA) is non-susceptible to beta-lactams. Blockade of cell wall biosynthesis is a potential target for beta-lactam enhancement but requires further investigation. A butyrolactone derivative enhanced beta-lactams against MRSA strains by reducing the availability of D-Ala-D-Ala. Unlike D-cycloserine, it did not inhibit D-Ala-D-Ala ligase (Ddl). Nor did it show an additive or synergistic effect when combined with cycloserine, indicating a unique mechanism for blocking cell wall precursor production that does not involve the traditional Lipid II pathway. Notably, beta-lactam potentiation by our chemical or D-cycloserine was highly dependent on the intrinsic autolytic ability of the tested MRSA strains. Strains that resisted lysis upon Triton X-100 exposure showed a minimal increase in beta-lactam susceptibility, whereas highly autolytic strains showed significant changes in their beta-lactam MICs. We have thus identified autolytic ability as the Achilles Heel in the strategy of targeting cell wall biosynthesis for beta-lactam potentiation.

microbiology↗

Rapid and largely reversible shifts in the canine fecal metabolome during dietary change

Diet can rapidly change the fecal metabolome, but less is known about recovery after the original diet is restored. We used untargeted UPLC-MS metabolomics to analyze 72 fecal samples from nine Pumi dogs during an owner-managed switch from dry food to raw food and back to dry food. Diet phase accounted for a large proportion of variation in both ionization modes. More than 13,000 LC-MS features changed at the first sampling point after the switch to raw food, with a similarly large response after return to dry food. Among features significant in both comparisons, more than 99% changed in opposite directions. At the final sampling point, no positive-mode (ESI+) features and only 13 negative-mode (ESI-) features differed from the second dry-food baseline under the same threshold. BARF-associated patterns persisted in analyses excluding individual dogs and in pedigree-adjusted candidate models, although individual feature effects depended on normalization. Putative metabolites from several biochemical classes differed in their response and recovery. The fecal metabolome therefore changed rapidly and returned largely toward baseline, with differences among dogs.

microbiology↗