bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2025.07.29.667465

Achromobacter xylosoxidans isolates exhibit genome diversity, variable virulence, high levels of antibiotic resistance and potential intrahost evolution.

Lam, H. N.·Acharya, P.·Yanira Munoz Ramirez, Z.·Kumke, J.
View original source ↗Export metadata ↓

Abstract

2. AbstractAchromobacter xylosoxidans is an emerging pathogen characterized by high levels of antibiotic resistance and increasing infection rates worldwide. This motile, opportunistic pathogen is widely distributed in the environment and can cause various infections, including pneumonia, bacteremia, endocarditis, meningitis, and others. In this study, we analyzed the population structure, antibiotic resistance profiles, and virulence factors of over 200 publicly available genomes. Core genome analysis revealed that A. xylosoxidans is highly adaptable, possessing a relatively small core genome. Antibiotic susceptibility testing of isolates from the United States revealed high resistance to multiple antibiotics. Our data show that imipenem/relebactam (IMR) is as effective against A. xylosoxidans as imipenem (IMI) alone, indicating that relebactam does not inhibit {beta}-lactamase activity in Achromobacter. The species features multiple secretion systems, including the Type III secretion system (T3SS) of the YscN family, which is similar to those found in Bordetella pertussis and Pseudomonas aeruginosa. Isolates collected from the same patients showed changes in cytotoxicity, flagella motility, biofilm and antibiotic resistance suggesting its dynamic adaptation to host environment. Intra-host evolved isolates, NIH-010, NIH-016 and NIH-018 demonstrated the loss of flagellar motility and variable cytotoxicity while exhibiting increased antibiotic resistance and enhanced biofilm formation. Sequence analysis suggests that NIH-016-3 has tyrosine to histidine mutation at position 330 near the FlhF Guanosine triphosphate (GTP)-binding domain that may affect flagellar assembly. Interestingly, virulence assays showed significant variation in the ability of different A. xylosoxidans isolates to induce cell death in in vitro models, suggesting its dynamic adaptation to host environment. 3. ImportanceThis study provides a comprehensive examination of Achromobacter xylosoxidans, an emerging pathogen of global concern due to its high antibiotic resistance and increasing clinical relevance. By analyzing over 200 genomes, we offer critical insights into the population structure, resistance mechanisms, and virulence factors of this species. The identification of a small core genome underscores its potential for genomic plasticity. The existence of multiple secretion systems highlights the great capacity of A. xylosoxidans as a pathogen. Variations in virulence among A. xylosoxidans isolates indicate the complexity of this pathogen underscoring the need for further studies on its virulence mechanisms. Evolution within the host includes the loss of motility-associated systems and enhanced antibiotic resistance and biofilm formation. This work showed that A. xylosoxidans are resistant to relebactam when combined with imipenem a combination effective in other bacteria. These findings emphasize the urgent need for targeted therapeutic strategies to combat this opportunistic pathogen.

Source connections

Explore related subjects

microbiologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lam, H. N., Acharya, P., Yanira Munoz Ramirez, Z., Kumke, J.. 2025-07-29. Achromobacter xylosoxidans isolates exhibit genome diversity, variable virulence, high levels of antibiotic resistance and potential intrahost evolution.. https://doi.org/10.1101/2025.07.29.667465

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

KEEP EXPLORING

Related preprints

bioRxiv2026

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↗
bioRxiv2026

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↗
bioRxiv2026

Taxonomic and functional concordance between full-length ONT 16S and ONT shotgun metagenomics in the canine gut microbiome

Background: Full-length Oxford Nanopore Technologies (ONT) 16S rRNA sequencing provides a scalable view of microbial community composition and can support phylogeny-based functional prediction, but it is not equivalent to shotgun metagenomics. We asked which biological conclusions are preserved when the same canine fecal specimens are profiled by full-length ONT 16S and ONT whole-genome shotgun (WGS) sequencing, and how their agreement depends on analytical scale, reference representation and classifier. Methods: Ninety-seven fecal specimens from 51 dogs were profiled with both assays from the same DNA extract. Functional profiles predicted from NanoASV/NanoPredict with PICRUSt2 were compared with WGS-supported KEGG Ortholog (KO) profiles generated by Kadath. Taxonomy was benchmarked in a source-genome-matched RefSeq universe and in a host-specific DogMAG universe using minitax and Kraken2. Agreement was evaluated at whole-profile, feature-abundance, detection, between-sample structure and biological-inference scales. Age-associated transfer was assessed with dog-aware continuous mixed models, grouped signed-score analyses and paired/dog-blocked PERMANOVA. Results: Functional whole-profile concordance was high: median within-sample CLR Spearman correlations ranged from 0.781 to 0.860 across developmental strata, while between-sample functional structure remained significant by Mantel (rho=0.543) and Procrustes (r=0.693; both p=0.001). Feature-wise transfer was substantially weaker (median KO-wise CLR Spearman=0.318). Continuous age-associated KO slopes showed substantial cross-assay concordance (Spearman=0.727; signed-score Spearman=0.753; direction agreement=77.9%), although 1,290/5,258 eligible KOs retained significant assay-by-age interactions. Taxonomically, exact genus/species abundance agreement was much lower than agreement in between-sample ecological structure. Host-specific DogMAG improved species-level median Spearman from 0.261 to 0.656 for minitax SpeciesEstimate and from 0.181 to 0.512 for Kraken2. The classifier effect was independent of reference choice: under both RefSeq and DogMAG, minitax yielded stronger 16S-WGS concordance than Kraken2, with all eight prespecified RefSeq paired genus/species endpoints and all 10 DogMAG primary paired endpoints significant after BH correction. The same ordering extended to developmental inference, with DogMAG genus/species age-slope concordance of 0.795/0.799 for SpeciesEstimate versus 0.693/0.702 for Kraken2. Taxonomic Aitchison PERMANOVA detected age-associated structure in every assay/reference/classifier/rank combination, whereas age-by-assay interactions were consistently significant but small (R2 approximately 1.1 to 2.2%). Stricter NanoASV identity thresholds removed substantial 16S abundance without improving species-level agreement. Conclusions: The extent of cross-assay agreement depends on the level of analysis. Full-length ONT 16S preserves broad functional organization, ecological structure and much of the direction of age-associated change, but exact fine-rank composition, individual-feature abundance and effect magnitude remain assay dependent. Host-specific reference representation substantially narrows the taxonomic gap, and classifier choice exerts an additional independent effect: within the same matched reference set, minitax consistently yields stronger 16S-WGS concordance than Kraken2 across abundance, detection, ecological-distance and developmental-inference endpoints. Full-length ONT 16S is therefore well suited to broad ecological screening and hypothesis generation, whereas WGS remains preferable when conclusions depend on quantitative fine-rank composition, directly supported gene content or precise feature-level effect estimates.

microbiology↗