bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.06.11.731541

Full-assembly screening reveals mobile antibiotic-resistance cargo missed by chromosome-only genomes

Abstract

BackgroundProbiotic bacteria occupy the same gut niches as enteric pathogens, prompting concern that probiotic strains might carry or contribute mobile antibiotic-resistance genes (ARGs). Genome-based screening is routinely used to assess this risk, but many screens use chromosome-level assemblies that may omit plasmid-borne, high-mobility cargo. We quantified this effect and compared the mobile context resistomes of probiotic-associated and pathogen reference genomes. MethodsWe screened 50 bacterial reference genomes (25 probiotic-associated, 25 pathogen/comparator) using a reproducible workflow with the CARD nucleotide catalog, PlasmidFinder replicons, and ISfinder insertion sequences. Each ARG was assigned a fourtier in silico mobile-context risk category from plasmid co-localization and insertion-sequence (IS) flanking. The identical strain panel was screened in matched full-assembly and chromosome-only modes. Acquired calls were curated against intrinsic/efflux/biocide determinants and cross-checked with AMRFinderPlus, ResFinder, and targeted BLAST, with MOB-suite as a plasmid/mobility overlay. ResultsFull-assembly screening detected 373 ARG loci versus 338 in chromosome-only mode on the same strains, increasing High-risk calls from 4 to 15 and recovering 32 plasmid replicons (chromosome-only: 0). All 15 High-risk mobile-context loci occurred in pathogen/comparator genomes and none in probiotic-associated genomes; no ARG was shared across groups at [&ge;]95% nucleotide identity (0/175 edges). Per-strain ARG burden was higher in pathogen genomes (mean 12.32 versus 0.52 loci; Mann-Whitney U = 606.5, P< 0.001). Most priority High-risk loci were corroborated by one or more external tools, with discordant calls retained explicitly as flagged records. ConclusionsChromosome-only screening materially undercounts mobile ARG cargo. In this reference-genome panel, high-risk mobile-context loci were concentrated in pathogen/comparator genomes -- an in silico reference-genome-level safety signal rather than evidence about commercial products or genetic transfer. Data SummaryNo new sequencing data were generated; all genomes are publicly available reference assemblies from NCBI RefSeq. O_LIGenome accessions for all 50 genomes are in Supplementary Table S1. C_LIO_LISource code (screening, validation, and figure scripts, including make_figures.py) is available at https://github.com/abdullahak07/1dprob. C_LIO_LIProcessed result tables are summarised in Supplementary Tables S2-S10. C_LIO_LIExternal validation outputs (AMRFinderPlus, ResFinder, BLAST, MOB-suite) are provided as supplementary data. C_LIO_LITool/database versions and detection thresholds are in Supplementary Table S9. The authors confirm that all supporting data, code, and protocols are available within the article, the cited repositories, or the supplementary material. C_LI O_TBL View this table: org.highwire.dtl.DTLVardef@b0f2beorg.highwire.dtl.DTLVardef@110c676org.highwire.dtl.DTLVardef@5578ceorg.highwire.dtl.DTLVardef@16e448forg.highwire.dtl.DTLVardef@573000_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOSupplementary Table S9:C_FLOATNO O_TABLECAPTIONtool/database versions and detection thresholds used in the SCALE50 analysis. Database snapshots and external validation outputs should be archived with the supplementary data to ensure reproducibility. C_TABLECAPTION C_TBL Impact StatementGenome-based screening is widely used to judge whether a bacterial strain carries transferable antibiotic-resistance genes, including in the safety assessment of probiotic-associated species. We show that the assembly level chosen for such screening materially affects the result: on an identical panel of 50 reference genomes, chromosome-only analysis recovered fewer than a third of the high-risk, mobile-context resistance loci detected when plasmid replicons were included. Applying full-assembly screening with transparent, multi-tool external validation, high-risk mobile-context resistance genes were concentrated in pathogen/comparator genomes and absent from the probiotic-associated genomes in this panel, with no cross-group sharing at high identity. These observations argue for full-assembly inputs and explicit mobile-context interpretation in genome-based resistance screening and provide a cautious, reference-genome-level safety signal; they are not claims about commercial products and do not demonstrate genetic transfer.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Saniya, S., Khan, A. A.. 2026-06-11. Full-assembly screening reveals mobile antibiotic-resistance cargo missed by chromosome-only genomes. https://doi.org/10.64898/2026.06.11.731541

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

KEEP EXPLORING

Related preprints

Matrix-controlled emergence of biofilm architecture shapes antimicrobial survival

Biofilms are structured microbial communities whose extracellular matrix is widely regarded as a basis of their protection against antimicrobial compounds. Yet how matrix production by individual bacteria gives rise to collective architecture and antimicrobial protection remains poorly understood. Here, we systematically varied expression of the master biofilm regulator csgD in Salmonella enterica and found that increasing matrix production reorganizes biofilms from dense, isotropic packings into sparse, nematically aligned communities by altering cell-cell interactions. By combining experimentally measured biofilm architectures with reaction-diffusion modeling, we show that these structural changes produce distinct patterns of antimicrobial killing, ranging from preferential killing near the liquid-biofilm interface to more uniform killing throughout the community. Consequently, increasing matrix production unexpectedly reduces antimicrobial survival by shifting the biofilm into different transport regimes, while strain-specific physiological differences further modulate antimicrobial depletion. Rather than acting as a passive barrier, EPS therefore shapes antimicrobial susceptibility by reorganizing biofilm architecture and its transport properties. EPS thus provides a physical link between molecular regulation, collective architecture and antimicrobial survival, providing a quantitative framework for understanding how cellular matrix production generates emergent biofilm function.

microbiology↗

Mapping virulence-associated protein interaction networks reveals regulators of thermotolerance in Cryptococcus neoformans

Protein-protein interactions (PPIs) influence critical biological processes in pathogenic microorganisms, such as the human fungal pathogen, Cryptococcus neoformans. Fungal thermotolerance and stress response pathways are key virulence determinants that directly impact pathogen adaptation and survival and the infection process. To establish a comprehensive baseline of PPIs in C. neoformans and explore these interactions to infer functional roles for uncharacterized proteins, we applied size exclusion chromatography coupled with mass spectrometry to the secreted and cellular proteomes of the fungi. As a result, 216 and 1699 unique proteins were identified across 24 secretome and proteome fractions, respectively. The predicted secretome networks included expected proteins associated with vesicles and virulence, indicating a role in extracellular defense. Whereas the cryptococcal proteome highlighted interactions among proteins with defined roles in fungal virulence for protein stability and thermotolerance, including two previously uncharacterized proteins, CNAG_00287 and CNAG_05199, putatively involved in complex formation with heat-shock proteins (HSP). Based on sequence and structure homology, we propose that CNAG_00287 is a tetratricopeptide repeat-containing co-chaperone that modulates Hsp 70 activity and CNAG_05199 functions as a Hsp70. We validated the thermotolerance role of CNAG_00287 in heat-related stress, as its absence significantly impaired fungal growth in nutrient-limited media at 37 {degrees}C. Together, this work resolves virulence-associated PPIs within C. neoformans and reveals new molecular regulators of thermotolerance that underpin fungal pathogenicity.

microbiology↗

Environmental filtering and host identity collectively shape root-associated microbiomes of Ericaceae and ectomycorrhizal plants in fumarole fields

Background Symbiosis with microbes is a key strategy that has enabled plants to colonize extreme environments. Since the benefits conferred by root-associated microbes depend on both environmental conditions and host-microbe combinations, plant adaptation to harsh environments is closely linked to the assembly of root microbial communities. Understanding how environmental and host filtering jointly shape these communities is therefore fundamental to elucidating the mechanisms underlying plant adaptation to extreme environments. Results In this study, we investigated the differentiation of root-associated prokaryotic and fungal communities and individual operational taxonomic units (OTUs) across two contrasting habitats surrounding fumaroles, solfatara-field and forest-edge habitats, and six dominant Ericaceae and ectomycorrhizal plant taxa. Prokaryotic and fungal OTUs rarely exhibited strong preferences for both habitat and host identity. Instead, many of prokaryotic and fungal OTUs specialized to one of these niches, collectively generating root microbial communities differentiated by both factors. Nonetheless, striking specializations in habitat and host niches were observed in the fungal family Hyaloscyphaceae (Helotiales). To gain insight into the evolutionary basis of microbial specialization, we examined phylogenetic signals in preference phenotypes. The resulting weak phylogenetic signals in these preference phenotypes further suggest that this fungal clade has undergone substantial ecological divergence. Conclusion Overall, our findings indicate that root-associated microbial communities in extreme environments are assembled through the accumulation of microbial taxa specialized to either habitat or host, and that strong ecological specialization in fungi can arise with little phylogenetic constraint.

microbiology↗