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Kampouris, I. D.

Publications and source records attributed to Kampouris, I. D..

4 recordsLinked to original sources

Genome-resolved metagenomics reveals the potential for selection for antibiotic resistance due to metal pollution in soil microbial communities near a copper-nickel mine site in Botswana

Waste mismanagement and metal pollution are high in countries in the global south and often create challenging, extreme conditions for soil microbial communities, which might lead to selection for antibiotic resistance. However, soils from polluted sites in Sub-Saharan areas are rarely sampled. Thus, it remains unclear whether the potential for dissemination of antibiotic resistance exists in these areas. In the present study, we performed genome-resolved metagenomics on samples across a gradient around an area impacted by a copper-nickel mine in Botswana to identify the potential for co-selection for antibiotic resistance due to mine pollution. Specifically, we sampled over a gradient across a mine area in Botswana and performed genome-resolved metagenomics. In general, pollution increased with proximity to the mine, while prokaryotic diversity increased with increasing distance from the mine, and we could identify a few taxa that significantly correlated with the metal concentrations. Moreover, our assembled contigs indicate a potential for co-selection due to the dual function of these genes as both antibiotic resistance genes (ARGs) and metal resistance genes (MRGs), as they act as multidrug efflux pumps. In contrast, some ARGs co-occurred in the same region as MRGs, indicating the potential for co-selection due to co-localization. However, we could not detect any co-localization of ARGs/MRGs with horizontal gene transfer (HGT) markers at the contig level. We binned the contigs to MAGs, and we found several MAGs of high quality and completeness, belonging to taxa such as Actinobacteriota, Chloroflexota, Acidobacteriota, and Dormibacterota, that possess ARGs, MRGs, and HGT-markers. Moreover, we found ARGs, MRGs, and HGT-markers in eight MAGs, after binning, indicating no direct association of HGT-markers with ARG and MRG occurrence. In summary, our metagenomic analysis indicates that pollution in mines can lead to co-selection of AMR, specifically ARGs with a broad spectrum of substrates (e.g., efflux pumps) that can act as MRGs, in an under-sampled location such as Sub-Saharan countries. IMPORTANCEThis study indicates the potential role of metal pollution from mismanaged mining activities in facilitating the selection for antibiotic resistance in soil microbial communities in a Sub-Saharan area located in Botswana. In combination with the lower amount of health regulations and hygiene standards, the dissemination of antibiotic resistance poses risks to human health through the environment in many Sub-Saharan countries. By performing genome-resolved metagenomics and identifying antibiotic resistance genes (ARGs) as metal resistance genes (MRGs) across diverse assembled genomes or co-localization, this work highlights the potential for antimicrobial resistance dissemination due to mine activities. Thus, these findings underscore the urgent need to understand the potential side effects of mine pollution on the spread of antimicrobial-resistant bacteria (ARB) and associated ARGs in Sub-Saharan countries.

microbiology↗

Environmental reservoir of resistance genes for the last resort antibiotic Cefiderocol.

Antibiotic resistance poses a global public health threat. Cefiderocol, a recently introduced siderophore cephalosporin, employs a "Trojan Horse" mechanism by exploiting bacterial iron uptake systems for cell entry. Yet, resistant clinical isolates are already observed in clinics and resistance mechanisms are difficult to characterize. Here, we applied functional metagenomics to identify cefiderocol resistance genes. Functional metagenomic DNA libraries from diverse environmental samples collected across several countries were expressed in a cefiderocol-sensitive Escherichia coli host. This yielded four resistant clones with DNA originating from wastewater or freshwater DNA libraries. The identified antibiotic resistance genes (ARGs) causing an increase in cefiderocol minimum inhibitory concentrations encoded for beta-lactamases (VEB-3, OXA-372 homolog and YbxI homolog) and a partial penicillin binding protein homolog. Three of four shared closest homologs in pathogenic bacteria. One ARG was associated with a mobile genetic element and was broadly distributed across all wastewater samples from every country surveyed. This study underscores the critical importance of environmental surveillance for ARGs, particularly for novel agents like cefiderocol with limited understanding of resistance mechanisms.

microbiology↗

The global groundwater resistome: core ARGs and their dynamics - an in silico re-analysis of publicly available groundwater metagenomes

Despite the importance of groundwater as a drinking water resource, currently, no comprehensive picture regarding the global levels of antibiotic resistance genes (ARGs) in groundwater environments exists. Moreover, the biotic and abiotic factors that shape the groundwater resistome on the global scale remain to be explored. Herein, we attempted to fill this knowledge gap through in silico re-analysis of publicly available global groundwater metagenomes. First, nine ARGs encoding resistance to aminoglycosides (aadA, aph(3), and ant(3)), sulfonamides (sul1 and sul2), {beta}-lactams (blaOXA and blaTEM), tetracyclines (tet(C)) and macrolides (msr(E)) were identified to constitute the core groundwater resistome with high detection and abundance levels. Second, the global drivers of groundwater resistome composition were identified by applying a structural equation model with mixed effects to disentangle the individual contributions of each abiotic and biotic factor. Most notably, global effects of the origin of groundwater samples on the resistome were detected with samples from high-income countries (HICs) constantly displaying lower ARG and mobile genetic element (MGE) abundances than those from low-and-middle-income countries (LMICs). While these effects were consistent across antibiotic classes, biotic factors such as interactions of the groundwater microbiome with fungal or bacterial natural producers of antibiotics, or the co-occurrence of ARGs on mobile genetic elements (MGEs) played significant roles in shaping abundance patterns of resistance towards individual antibiotic classes. Only few ARGs correlated to individual bacterial genera, with microbial community composition in general weakly associated with resistome composition. In conclusion, we provide a first global picture of the resistome of low-anthropogenic impacted groundwater environments and the underlying anthropogenic and biotic drivers shaping it, which can be used as a baseline in future surveillance of antibiotic resistance.

microbiology↗

Treated wastewater irrigation promotes the spread of antibiotic resistance into subsoil pore-water.

In the present study, we investigated the impact of treated wastewater (TWW) irrigation on the prevalence of antibiotic resistance genes (ARGs) in subsoil pore-water, a so-far under-appreciated matrix. We hypothesized that TWW irrigation increases ARG prevalence in subsoil pore-water. This hypothesis was tested using a multiphase approach, which consisted of sampling percolated subsoil pore-water from lysimeter-wells of a real-scale TWW-irrigated field, operated for commercial farming practices, and controlled, laboratory mesocosms irrigated with freshwater or TWW. We monitored the abundance of six selected ARGs (sul1, blaOXA-58, tetM, qnrS, blaCTX-M-32 and blaTEM), the intI1 gene associated with mobile genetic elements and an indicator for anthropogenic pollution and bacterial abundance (16S rRNA gene) by qPCR. The bacterial load of subsoil pore water was independent of both, irrigation intensity in the field study and irrigation water type in the mesocosms. Among the tested genes in the field study, sul1 and intI1 exhibited constantly higher relative abundances. Their abundance was further positively correlated with increasing irrigation intensity. Controlled mesocosm experiments verified the observed field study results: the relative abundance of several genes, including sul1 and intI1, increased significantly when irrigating with TWW compared to freshwater irrigation. Overall, TWW irrigation promoted the spread of ARGs and intI1 in the subsoil pore-water, while the bacterial load was maintained. The combined results from the real-scale agricultural field and the controlled lab mesocosms indicate that the dissemination of ARGs in various subsurface environments needs to be taken into account during TWW irrigation scenarios. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/222497v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@19b130corg.highwire.dtl.DTLVardef@1ffb733org.highwire.dtl.DTLVardef@1548ff0org.highwire.dtl.DTLVardef@b60361_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LITWW irrigation intensity and sul1 & intI1 abundance correlate in a real-scale field C_LIO_LIARGs & intI1 increase in subsoil pore-water during TWW irrigation in mesocosms C_LIO_LINo increase of ARGs & intI1 in freshwater irrigated mesocosms C_LIO_LITWW irrigation does not affect the bacterial load of subsoil pore-water C_LI

microbiology↗