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Mobilome-driven antimicrobial resistance in a one health context: evidence and lessons from Africa.

Antimicrobial resistance (AMR) is one of the most urgent global health threats and is increasingly recognized as a One Health challenge driven by interactions among human, animal, and environmental reservoirs. Central to the emergence and dissemination of AMR across these interfaces are mobile genetic elements (MGEs), which form an interconnected mobilome capable of transferring resistance genes across bacterial taxa and ecological niches. These elements facilitate the accumulation and spread of multidrug resistance determinants and are shaped by co-selective pressures operating at the animal-environment-human interface. Despite their critical role, genomic surveillance of MGEs remains limited, particularly in high-burden regions such as Africa. This narrative review synthesizes evidence from published genomic surveillance studies, primarily whole-genome sequencing-based analyses, to examine the distribution and dynamics of AMR genes and MGEs across One Health interfaces. We highlight animal-environmental systems as major hotspots for mobilome-driven resistance dissemination and also evaluate key advances, methodological approaches, and persistent surveillance challenges and gaps specific across Africa. By integrating findings from diverse genomic studies, and highlighting key lessons and implementation gaps from One Health studies across Africa, this review underscores the need for coordinated One Health surveillance strategies to better capture mobilome dynamics and inform sustainable AMR control efforts.

Africa↗

Metagenomic insights into ecological risk of antibiotic resistome and mobilome in riverine plastisphere under impact of urbanization.

Microplastics (MPs) are of increasing concern due to their role as reservoirs for antibiotic resistance genes (ARGs) and pathogens. To date, few studies have explored the influence of anthropogenic activities on ARGs and mobile genetic elements (MGEs) within various riverine MPs, in comparison to their natural counterparts. Here an in-situ incubation was conducted along heavily anthropogenically-impacted Houxi River to characterize the geographical pattern of antibiotic resistome, mobilome and pathogens inhabiting MPs- and leaf-biofilms. The metagenomics result showed a clear urbanization-driven profile in the distribution of ARGs, MGEs and pathogens, with their abundances sharply increasing 4.77 to 19.90 times from sparsely to densely populated regions. The significant correlation between human fecal marker crAssphage and ARG (R2 = 0.67, P=0.003) indicated the influence of anthropogenic activity on ARG proliferation in plastisphere and natural leaf surfaces. And mantel tests and random forest analysis revealed the impact of 17 socio-environmental factors, e.g., population density, antibiotic concentrations, and pore volume of materials, on the dissemination of ARGs. Partial least squares-path modeling further unveiled that intensifying human activities not only directly boosted ARGs abundance but also exerted a comparable indirect impact on ARGs propagation. Furthermore, the polyvinylchloride plastisphere created a pathogen-friendly habitat, harboring higher abundances of ARGs and MGEs, while polylactic acid are not likely to serve as vectors for pathogens in river, with a lower resistome risk score than that in leaf-biofilms. This study highlights the diverse ecological risks associated with the dissemination of ARGs and pathogens in varied MPs, offering insights for the policymaking of usage and control of plastics within urbanization.

Urbanization↗

Farming reshapes the gut resistome, virulome, and mobilome of Cervidae.

The rapid expansion of cervid farming raises concerns about antimicrobial resistance (AMR) dissemination, yet its impact on the Cervidae gut microbiome remains poorly characterized. We integrated 89 newly sequenced fecal metagenomes with 599 publicly available datasets, comprising 285 metagenomes from farmed cervids and 370 from wild cervids, to construct a catalog of 15,494 non-redundant metagenome-assembled genomes (MAGs) representing 2,401 species. Our analysis demonstrates that farming profoundly reshapes the gut microbiome's functional composition. Specifically, farmed cervids exhibited significantly higher relative abundance, diversity, and heterogeneity of antimicrobial resistance genes (ARGs) compared to wild counterparts. We observed a robust synergistic relationship between ARGs, virulence factor genes, and mobile genetic element (MGE)-associated genes, identifying 70 ARG-MGE combinations as evidence of potential horizontal gene transfer. Plasmid profiling further suggested that a subset of ARGs may be associated with conjugative plasmids, with plasmid-associated ARGs being significantly more abundant in farmed than in wild cervids. Virome analyses indicated that bacteriophages, particularly Siphoviridae, may serve as mobile reservoirs for ARGs. Notably, Cervidae shared 268 ARG types with humans, including 23 high-risk genes associated with resistance to clinically important antibiotics (e.g. tetX1, vanRD, and bla-CTX-M-178), with Escherichia coli as a key cross-host carrier. These findings highlight that human-impacted cervid gut microbiomes are significant environmental reservoirs of clinically relevant AMR, underscoring the necessity for enhanced antibiotic stewardship and resistance surveillance in managed wildlife within a One Health framework.

Animals↗

Mobile elements in pituitary neuroendocrine tumors: integrative evidence and future directions.

Mobile genetic elements (MGEs), including LINE-1 retrotransposons, Alu and SVA elements, and human endogenous retroviruses (HERVs), constitute nearly half of the human genome and are increasingly understood to influence multiple dimensions of cancer evolution. Yet, pituitary neuroendocrine tumors (PitNETs) remain almost absent from mobilome research, despite exhibiting genomic and epigenetic contexts permissive to retroelement activation. In this review, we synthesize current evidence linking MGEs to PitNET biology and delineate unresolved but testable mechanisms. Structural genomic studies demonstrate that Alu-mediated non-allelic homologous recombination contributes to germline mutagenesis in MEN1 and AIP, reinforcing the notion that repetitive DNA architecture shapes PitNET predisposition. Transcriptomic analyses reveal global derepression of transposable elements and LINE-1 hypomethylation in subsets of tumors, while mechanistic connections to chromatin instability emerge from recurrent ATRX/DAXX deficiency and TP53 inactivation, both established repressors of retroelements. Furthermore, the retrocopy-derived long non-coding RNA RPSAP52 exemplifies how mobilome-origin transcripts can be co-opted as oncogenic regulators in PitNETs, acting through HMGA2-dependent proliferative networks. Preliminary data also suggest endogenous retroviral activation, with consistent upregulation of HERV envelope genes across distinct tumor subtypes. Nevertheless, no study has yet systematically mapped somatic mobile-element insertions (MEIs), quantified LINE-1 protein activity, or profiled HERV expression at locus resolution in PitNETs. Mobilome biology represents a tractable and conceptually rich frontier with diagnostic, prognostic, and therapeutic potential in pituitary tumorigenesis.

Humans↗

Long-read sequencing reveals putatively mobilizable resistance genes and multi-drug resistance plasmids underestimated by short-read metagenomics.

While shotgun metagenomics is often used to profile antibiotic resistome in gut microbial communities, few studies have investigated if the choice of sequencing platform and assembly strategy affect what mobile genetic elements and antimicrobial resistance genes are recovered. In this study, we compared three platforms (Illumina, Oxford Nanopore, and PacBio HiFi) and seven assembly strategies on gut metagenomes from cattle, pig, and human as case studies. Long-read assemblies recovered 5- to 7-fold more plasmid sequence than Illumina in cattle and pig (mean 17.0 Mb vs. 3.1 Mb), while Illumina performed comparably in the less diverse human gut where high per-species coverage enabled effective short-read plasmid assembly. Long reads also detected more resistance genes on plasmid contigs. Hybrid assembly results depended on the algorithm: scaffolding-based OPERA-MS preserved long-read contiguity and recovered more plasmid-borne resistance genes, while the short-read-centric metaSPAdes hybrid mode produced fragmented assemblies. After collapsing haplotype redundancy, PacBio HiFi identified 2 and 49 unique multi-drug resistance plasmid lineages in cattle and pig, respectively. On the other hand, only 2 and 4 were identified from Illumina. Long reads also placed far more ARGs in a putative mobilization context (50-73%) compared to 14-21% for short reads. Platform and assembly strategy are thus key variables in mobilome and resistome characterization and should be accounted for in antimicrobial resistance surveillance.

Animals↗

Mobile genetic elements: the agents of open source evolution.

Horizontal genomics is a new field in prokaryotic biology that is focused on the analysis of DNA sequences in prokaryotic chromosomes that seem to have originated from other prokaryotes or eukaryotes. However, it is equally important to understand the agents that effect DNA movement: plasmids, bacteriophages and transposons. Although these agents occur in all prokaryotes, comprehensive genomics of the prokaryotic mobile gene pool or 'mobilome' lags behind other genomics initiatives owing to challenges that are distinct from cellular chromosomal analysis. Recent work shows promise of improved mobile genetic element (MGE) genomics and consequent opportunities to take advantage - and avoid the dangers - of these 'natural genetic engineers'. This review describes MGEs, their properties that are important in horizontal gene transfer, and current opportunities to advance MGE genomics.

Conjugation, Genetic↗

In-host adaptation of Staphylococcus aureus during recurrent prosthetic joint infections: a retrospective longitudinal study.

UNLABELLED: The aim of this study was to characterize the in vivo evolution of Staphylococcus aureus strains involved in recurrent prosthetic joint infections (PJIs) both phenotypically and genomically. We conducted a monocentric retrospective study in a 1,437-bed French teaching hospital between 2013 and 2021. All patients presenting a recurrent S. aureus-related PJI-defined as at least two strains isolated from distinct clinical samples more than 90 days apart-of the knee, hip, or shoulder were included. Clinical data were reviewed, and all isolates underwent phenotypic characterization, including antimicrobial susceptibility testing, growth rate determination, biofilm production assays, metabolic profiling (API 50 CH), and virulence evaluation using the Galleria mellonella infection model. Whole-genome sequencing (WGS) was performed for all strains, followed by analyses of core-genome multilocus sequence typing (cgMLST), resistome, virulome, and mobilome composition, and single-nucleotide polymorphisms (SNPs). Thirteen patients met inclusion criteria, yielding 55 S. aureus isolates. Eight patients experienced recurrent infections caused by genetically closely related strains throughout the clinical course (median: three strains per patient; range: 2-6), whereas five patients were infected by genetically distinct strains. At baseline, isolates were genetically diverse and susceptible to methicillin and rifampicin; two showed fluoroquinolone resistance due to grlA and/or gyrA mutations. In one patient (patient C), a recurrent isolate acquired an rpoB S486L mutation, conferring rifampicin resistance after rifampicin exposure. Due to the limited sample size, it is difficult to draw definitive conclusions from the phenotypic analyses. This study highlights the adaptive evolution of S. aureus during chronic PJIs and underscores the need for further research to better understand intra-host dynamics in long-standing infections. IMPORTANCE: This study conducted in a 1,437-bed French teaching hospital analyzed the genomic and phenotypic evolution of 55 Staphylococcus aureus strains recovered in recurrent PJIs from 13 patients. The first strains showed high genotypic diversity across 12 different sequence types. Among the 13 patients, only eight experienced a true recurrence with the same strain, while five were contaminated with a different strain of S. aureus, indicating a new infection. Moreover, this study underscores the complex within-host evolution of S. aureus and highlights the phenotypical and genotypical adaptation during chronic infection.

Staphylococcus aureus↗

Drug resistant Klebsiella pneumoniae from patients and hospital effluent: a correlation?

BACKGROUND: The application of wastewater-based epidemiology has gained traction as a cost effective tool in antimicrobial resistance (AMR) surveillance with studies showing a correlation between the presence of resistant bacteria from hospital sewage and patients. This study compared Klebsiella pneumoniae from patients and hospital effluent in terms of antibiotic resistance patterns, antibiotic resistance genes (ARGs), mobile genetic elements (MGEs) and phylogenomic relationships. RESULTS: Pooled effluent samples were collected from the final effluent point of a regional hospital and K. pneumoniae isolates were identified on selective media. Clinical isolates were also collected from the same hospital. Antimicrobial susceptibility testing (AST) was performed using the VITEK® 2 system. DNA was extracted prior to whole genome sequencing (WGS). The resistome, mobilome, and phylogenetic lineages of sequenced isolates were assessed using bioinformatics analysis. A total of 10 randomly selected presumptive and 10 clinical K. pneumoniae constituted the sample and were subjected to AST. Total resistance was observed in the clinical samples to cefuroxime, cefotaxime, piperacillin/tazobactam, gentamicin, tobramycin and trimethoprim/sulfamethoxazole. The effluent isolates exhibited total susceptibility to most antibiotics but showed resistance to amoxicillin/clavulanic acid and piperacillin/tazobactam (100%), and tigecycline (10%). The effluent isolates did not exhibit a diverse resistome, while the clinical isolates harboured genes conferring resistance to aminoglycoside (aph(6)-Id, aph(3'')-Ib, aac(6')-Ib-cr, aadA16), ß-lactam (blaSVH group, blaOXA group, blaTEM group), and fluoroquinolone (oqxA, oqxB) antibiotics. Only class 1 integrons were identified. Phylogenetic analysis revealed that effluent isolates from this study were not closely related to the clinical isolates. CONCLUSION: This study showed no correlation between the resistance profiles of the clinical and effluent isolates. The relationship between AMR in hospital effluent and clinical resistance may depend on the antimicrobial agents and bacterial species studied.

Klebsiella pneumoniae↗

Experimental evolution of a pathogen confronted with innate immune memory increases variation in virulence.

Understanding the drivers and mechanisms of virulence evolution is still a major goal of evolutionary biologists and epidemiologists. Theory predicts that the way virulence evolves depends on the balance between the benefits and costs it provides to pathogen fitness. Additionally, host responses to infections, such as resistance or tolerance, play a critical role in shaping virulence evolution. But, while the evolution of pathogens has been traditionally studied under the selection pressure of host adaptive immunity, less is known about their evolution when confronted to simpler and less effective forms of immunity such as immune priming. In this study, we used a well-established insect model for immune priming - red flour beetles and their bacterial pathogen Bacillus thuringiensis tenebrionis - to test how this form of innate immune memory drives the pathogen evolution. Through controlled experimental evolution of the pathogen in primed versus non-primed hosts, we found no change in average virulence after eight selection cycles in primed host. Nonetheless, we observed a notable rise in the variability of virulence, defined as the ability to kill hosts, among independent pathogen lines that evolved in primed hosts, and the bacteria were unable to develop resistance to host priming. Whole genome sequencing revealed increased activity in the bacterial mobilome (prophages and plasmids). Expression of the Cry toxin - a well-known virulence factor - was linked to evolved differences in copy number variation of the cry-carrying plasmid, though this did not correlate directly with virulence. These findings highlight that innate immune memory can drive variability in pathogen traits, which may favor adaptation to variable environments. This underscores the need to consider pathogen evolution in response to innate immune memory when applying these mechanisms in medicine, aquaculture, pest control, and insect mass production.

Animals↗

The Arms Race Between Actinobacillus pleuropneumoniae and Its Genetic Environment: A Comprehensive Analysis of Its Defensome and Mobile Genetic Elements.

Actinobacillus pleuropneumoniae is the causative agent of pleuropneumonia in swine, a highly contagious and economically significant disease. The genetic variability of A. pleuropneumoniae complicates disease control efforts, as it enables rapid adaptation to various stressors, including antimicrobial treatments. To better understand the molecular mechanisms underlying this adaptability, we investigated the role of the bacterial defensome and its relationship with mobile genetic elements (MGEs), such as prophages, plasmids, and integrative conjugative elements (ICEs). Using bioinformatic tools, we identified a diverse and rich defensome in A. pleuropneumoniae, with an average of 16 different defense systems per strain. We found that CRISPR-Cas systems, along with other defense mechanisms, are actively involved in restricting the entry of foreign genetic material, playing a crucial role in bacterial adaptation. Additionally, we characterized several novel prophages and examined their distribution across different strains, revealing their potential contribution to the bacterium's evolutionary success. Our findings underscore the complex interplay between the bacterium's defense systems and MGEs, shedding light on how A. pleuropneumoniae maintains genetic diversity while also safeguarding itself against external threats. These insights provide a better understanding of the genetic factors that influence the pathogen's adaptability and highlight potential avenues for more effective disease control strategies.

Actinobacillus pleuropneumoniae↗