Search bioRxiv⌕ Search

Biology subjects

Larsson, D. G. J.

Publications and source records attributed to Larsson, D. G. J..

4 recordsLinked to original sources

Identification of Novel FosX Family Determinants from Diverse Environmental Samples

ObjectivesThis study aimed to identify novel fosfomycin resistance genes across diverse environmental samples, ranging in levels of anthropogenic pollution. We focused on fosfomycin resistance, and given its increasing clinical importance, explored the prevalence of these genes within different environmental contexts. MethodsMetagenomic DNA was extracted from wastewater and sediment samples collected from sites in India, Sweden, and Antarctica. Class 1 integron gene cassette libraries were prepared, and resistant clones were selected on fosfomycin-supplemented media. Long-read sequencing was performed, followed by bioinformatics analysis to identify novel fosfomycin resistance genes. The genes were cloned and functionally characterized in E. coli, and the impact of phosphonoformate on the enzymes was assessed. ResultsFour novel fosfomycin resistance genes were identified. Phylogenetic analysis placed these genes within the FosX family, a group of metalloenzymes that hydrolyse fosfomycin without thiol conjugation. The genes were subsequently renamed fosE2, fosI2, fosI3, and fosP. Functional assays confirmed that these genes conferred resistance to fosfomycin in E. coli, with with MIC ranging from 32 g/ml to 256g/ml. Unlike FosA/B enzymes, these FosX-like proteins were resistant to phosphonoformate inhibitory action. A fosI3 homolog was identified in Pseudomonas aeruginosa, highlighting potential clinical relevance. ConclusionsThis study expands the understanding of fosfomycin resistance by identifying new FosX family members across diverse environments. The lack of phosphonoformate inhibition underscores the clinical importance of these poorly studied enzymes, which warrant further investigation, particularly in pathogenic contexts.

microbiology↗

The transfer of antibiotic resistance genes between evolutionary distant bacteria

Infections from antibiotic-resistant bacteria threaten human health globally. Resistance is often caused by mobile antibiotic resistance genes (ARGs) shared horizontally between bacterial genomes. Many ARGs originate from environmental and commensal bacteria and are transferred between divergent bacterial hosts before they reach pathogens. This process remains, however, poorly understood, which complicates the development of countermeasures that reduce the spread of ARGs. In this study, we aimed to systematically analyze the ARGs transferred between the most evolutionary distant bacteria, here defined based on their phylum. We implemented an algorithm that identified inter-phyla transfers (IPTs) by combining ARG-specific phylogenetic trees with the taxonomy of the bacterial hosts. From the analysis of almost 1 million resistance genes identified in >400,000 bacterial genomes, we identified 661 IPTs, which included transfers between all major bacterial phyla. The frequency of IPTs varies substantially between ARG classes and was highest for the aminoglycoside resistance gene AAC(3) while the levels for beta-lactamases were, generally, lower. ARGs involved in IPTs also differed between phyla where, for example, tetracycline resistance genes were commonly transferred between Firmicutes and Proteobacteria, but rarely between Actinobacteria and Proteobacteria. The results, furthermore, show that conjugative systems are seldom shared between bacterial phyla, suggesting that other mechanisms drive the dissemination of ARGs between divergent hosts. We also show that bacterial genomes involved in IPTs of ARGs are either over- or under-represented in specific environments. These IPTs were also found to be more recent compared to transfers associated with bacteria isolated from water, soil, and sediment. While macrolide and tetracycline resistance genes involved in ITPs almost always were +95% identical between phyla, corresponding {beta}-lactamases showed a median identity of < 60%. We conclude that inter-phyla transfer is recurrent and our results offer new insights into how resistance genes are disseminated between evolutionary distant bacteria.

microbiology↗

Genetic compatibility and ecological connectivity drive the dissemination of antibiotic resistance genes

The dissemination of mobile antibiotic resistance genes (ARGs) via horizontal gene transfer is a significant threat to public health globally. The flow of ARGs into and between pathogens, however, remains poorly understood, limiting our ability to develop strategies for managing the antibiotic resistance crisis. Therefore, we aimed to identify genetic and ecological factors that are fundamental for successful horizontal ARG transfer. From the analysis of [~]1 million bacterial genomes and >20,000 metagenomes, we developed random forest models that could reliably predict horizontal ARG transfer between bacteria. Our results suggest that genetic incompatibility, measured as nucleotide composition dissimilarity, negatively influences the likelihood of transfer of ARGs between evolutionarily divergent bacteria. Conversely, environmental co-occurrence increased the likelihood, especially in humans and wastewater, in which several environment-specific dissemination patterns were observed. This study provides new ways to predict the spread of ARGs and provides new insights into the mechanisms governing this evolutionary process.

microbiology↗

Fecal pollution explains antibiotic resistance gene abundances in anthropogenically impacted environments

Discharge of treated sewage leads to release of antibiotic resistant bacteria, resistance genes and antibiotic residues to the environment. Such pollution can directly contribute to increased morbidity caused by the transmission of resistant fecal pathogens. Residual antibiotics in wastewaters have been speculated to select for resistant bacteria and thereby promote the evolution and emergence of new resistance factors. Increased abundance of antibiotic resistance genes in sewage and sewage-impacted environments may, however, simply be a result of fecal contamination with resistant bacteria rather than caused by an on-site selection pressure. In this study we have disentangled these two alternative scenarios by relating the relative resistance gene abundance to the accompanying extent of fecal pollution in publicly available metagenomic data. This was possible by analyzing the abundance of a newly discovered phage which is exceptionally abundant in, and specific to, human feces. The presence of resistance genes could largely be explained by fecal pollution, with no clear signs of selection in the environment, the only exception being environments polluted by very high levels of antibiotics from manufacturing where selection is evident. Our results demonstrate the necessity to take in to account the fecal pollution levels to avoid making erroneous assumptions regarding environmental selection of antibiotic resistance. The presence or absence of selection pressure has major implications for what the risk scenarios are (transmission versus evolution) and for what mitigations (reducing pathogenic bacteria or selective agents) should be prioritized to reduce health risks related to antibiotic resistance in the environment.

microbiology↗