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PubMed2026

What health are we talking about? Biodiversity as the missing link between One Health and Planetary Health.

Health has become a central term in global sustainability policy, yet it is often used without sufficient conceptual precision. Public health, global health, One Health, EcoHealth, GeoHealth, and Planetary Health each emphasize different dimensions of the relationship between humans, animals, and the environment. In policy contexts, however, these distinctions are frequently blurred. We argue that biodiversity is often treated as an environmental co-benefit rather than as a foundational determinant of health. This weakens the implementation of One Health approaches because biodiversity underpins disease regulation, immune system development, food and water security, ecosystem functioning, resilience, and climate adaptation. At the same time, biodiversity provides a critical link between One Health and broader Planetary Health challenges, including global environmental change and the transgression of planetary boundaries. Future health and sustainability policies should move beyond generic references to health and explicitly recognize biodiversity as part of preventive health systems.

Biodiversity↗

PubMed2026

Community-tailored One Health educational intervention to enhance knowledge and practices for zoonotic disease prevention in rural Thailand: A protocol for a prospective cluster randomised controlled Trial in Chanthaburi, Thailand (Saan Suk trial).

BACKGROUND: Zoonotic infectious disease risk arises at human-animal-environment interfaces where pathogen spillover can occur. Rural communities living in biodiverse settings may experience frequent contact with wildlife and shared environments through livelihoods, food practices, and economic activities. Reducing spillover risk and strengthening pandemic prevention requires both structural and individual-level change. Community-based interventions that promote awareness, risk perception, self-efficacy, pro-environmental behaviour, and safe coexistence with wildlife may support prevention by shifting behavioural determinants of zoonotic disease risk. The Saan Suk intervention was co-developed with rural communities in Thailand using a Human-Centred Design approach and is grounded in the Health Belief Model and One Health principles. The intervention is intended to be feasible, acceptable, and deliverable through Thailand's established Village Health Volunteer (VHV) system. METHODS: This protocol describes a parallel-arm, cluster-randomised controlled superiority trial that will be conducted during July - October 2026, in Chanthaburi Province, Thailand. 24 villages will be equally randomised to the Saan Suk intervention or the current practice (control). In intervention villages, trained VHVs will deliver, once a week over four weeks, a multimodal One Health educational intervention designed to improve knowledge of zoonotic spillover, promote protective behaviours, reduce risky wildlife-related contacts, and support respectful coexistence with wildlife. Trained outcome assessment teams will conduct structured interviews with 42 adult participants per village, yielding a total sample size of 1,008 participants. The sample size was calculated for the primary outcome, accounting for clustering, with 90% power to detect a medium effect size (6 points on the 0-100 knowledge scale) at a significance level of 0.05, accounting for a design effect with an ICC of 0.028. The primary outcome is knowledge of zoonotic spillover, transmission pathways, risk factors, protective and risky behaviours, and safe coexistence with wildlife. Secondary outcomes include attitudes, self-efficacy, preventive and risky behaviours, and reported contacts with major local reservoir hosts. A structured questionnaire was developed, expert-reviewed, and piloted for the outcome assessment. Outcomes will be analysed using mixed-effects regression models with random effects for village and adjustment for relevant pre-specified confounders. Primary analyses will follow the intention-to-treat principle. DISCUSSION: This trial will evaluate whether a co-designed, VHV-delivered One Health educational programme can improve knowledge of zoonotic disease prevention and behavioural determinants in rural communities living in close contact with wildlife and shared ecosystems. If effective and feasible, Saan Suk could inform integration into routine VHV training and community-based zoonotic disease and pandemic prevention strategies. TRIAL REGISTRATION: The Saan Suk trial is registered with the German Clinical Trials Register (DRKS). Registration ID: DRKS00038582; date of registration: 11 May 2026.

Zoonoses↗

PubMed2025

Transmission of extended spectrum β-lactamase-producing Escherichia coli and antimicrobial resistance gene flow across One Health compartments in eastern Africa: a whole-genome sequence analysis from a prospective cohort study.

BACKGROUND: The One Health paradigm considers interdependence of human, animal, and environmental health. However, there is little evidence from high-income countries to support the importance of a One Health approach to addressing spread of antimicrobial resistance (AMR). Given AMR is a global threat, understanding how the close interactions of humans with animals and the environment in low-income settings affect the spread of AMR is important. We aimed to investigate diversity and transmission of extended spectrum β-lactamase (ESBL)-producing Escherichia coli across household-linked One Health compartments using genomic data. METHODS: We sequenced whole genomes of ESBL-producing E coli isolates from humans, animals, and the environment from a prospective, longitudinal cohort study conducted in Malawi (April 29, 2019, to Dec 3, 2020) and Uganda (July 16, 2020, to Aug 6, 2021). In the cohort study, 259 households were enrolled at baseline in Malawi and 92 in Uganda from a mix of urban, peri-urban, and rural areas. Households were followed up at months 1, 3, and 6 in Malawi and at months 1, 2, and 4 in Uganda. Samples collected at each visit included human and animal stool, environmental samples from hand-contact areas, food, and water, and broader environmental samples such as river water. Samples were cultured in buffered peptone water and then ESBL chromogenic agar to isolate ESBL-producing E coli. ESBL-producing E coli isolates underwent whole-genome sequencing. We performed phylogenetic analyses, and in-silico multi-locus sequence typing, characterised AMR determinants and linked genotypes with sample location, ecological source, and other covariates. We performed fine-scale single nucleotide polymorphism (SNP) and network analysis to infer strain and plasmid transmission across ecological compartments. The primary outcome was colonisation with ESBL-producing E coli. Secondary outcomes were genomic clusters and ESBL genomic determinants within and between One Health compartments. FINDINGS: We found high diversity of ESBL-producing E coli, with 170 sequence types and 166 genomic clusters identified from 2344 genomes, including 1814 genomes from Malawi (907 human, 221 animal, and 686 environmental) and 530 genomes from Uganda (380 human, 147 animal, and three environmental). Sequence type (ST)131 dominated in Malawi (209 [11·5%] of 1814 genomes), and ST10 dominated in Uganda (45 [8·5%] of 530 genomes). Common ESBL genes blaCTX-M-15 (1604 [68·4%] of 2344 genomes) and blaCTX-M-27 (336 [14·3%] of 2344 genomes) were carried on a complex network of 55 and 30 different plasmids. This diversity of plasmids presented multiple pathways for dissemination and revealed high force of selection. Phylogenetic analyses revealed common intermixing of isolates between humans, animals, and the environment. SNP transmission analysis revealed ecologically overlapping clusters, suggesting ESBL-producing E coli co-circulation both within and between compartments with frequent spillover events. Applying a five-SNP threshold, we inferred 463 human-environment transmission events, 146 human-animal events, and 142 animal-environment events. INTERPRETATION: Our work suggests that a One Health approach is crucial to addressing AMR in eastern Africa. Improving water, sanitation, and hygiene systems will create a safer environment, reduce spillovers of AMR bacteria between compartments, and eventually reduce AMR reservoirs in the environment and in animals. FUNDING: Medical Research Council, National Institute for Health and Care Research, and Wellcome Trust.

Humans↗

PubMed2026

A review on fungal pathogens in the One Health framework: connecting plant, animal, and human health.

The growing burden of fungal diseases on human, animal, plant, and environmental health is a serious global problem that requires a "One Health" approach beyond disciplinary silos. Fungal diseases are often neglected, yet their prevalence and importance are increasing at an alarming rate. Complex interactions among different host organisms, coupled with human activities, anthropogenic environmental impacts, climate change, globalization, and antifungal drug use, particularly in agriculture, are significant contributing factors. The emergence and spread of resistance to existing antifungal agents is one of the most important consequences, leading to poor treatment outcomes in both clinical and agricultural settings. Azole fungicides used in crops have been associated with the selection of resistant strains in some fungi common in the environment and associated with human disease, such as Aspergillus flavus and Fusarium spp., which have a unique enzyme paralogue cyp51C, and efflux pumps that flush out the azoles, thereby leading directly to treatment failure. The article explains how fungal pathogens can affect each of the three pillars of One Health. In plant health, fungal infections affect food security and economic outcomes, while the use of fungicides for treatment can lead to cross-resistance with clinical medications. In animal health, fungal diseases affect livestock well-being and productivity, and animals act as reservoirs for the zoonotic transmission of resistant strains to humans. In human health, the impact on immunocompromised populations is high, as invasive fungal infections result in significant morbidity and mortality. Limited availability of antifungal drugs, diagnostic challenges, and limited surveillance. To combat these multifaceted, interconnected challenges, a collaborative, multisectoral approach is imperative. Looking ahead, future initiatives should emphasize genomic and eco-epidemiological research to elucidate the drivers of emergence, anticipate outbreaks, and identify emerging threats. In conclusion, addressing the global burden of fungal diseases necessitates a holistic One Health approach that aligns surveillance, research, policy, and public health interventions to preserve the efficacy of existing treatments and protect the health of all interconnected domains.

Humans↗

PubMed2026

Comprehensive in silico genomics analysis of global trends and host-specific emergence of aminoglycoside resistance in Staphylococcus aureus: a One-Health perspective.

BACKGROUND: Aminoglycosides remain clinically valuable against Staphylococcus aureus. Aminoglycoside resistance in S. aureus represents a critical One Health concern and is primarily driven by aminoglycoside-modifying enzymes (AMEs), which are frequently plasmid-encoded. Although regional studies have provided valuable insights, the global epidemiology of aminoglycoside resistance determinants remains poorly characterized because comprehensive data integrating human, animal, and environmental reservoirs are still lacking. This study addresses this gap by analyzing over 110,000 S. aureus genomes (2000-2025) to map the global resistome, quantify temporal and host-specific trends, and assess the association between genetic determinants and phenotypic resistance. METHODS: We performed a retrospective One Health meta-analysis of 110,309 S. aureus genomes collected between 2000 and 2025 from 128 countries. Genomes were quality-filtered and aminoglycoside resistance determinants were identified using NCBI AMRFinderPlus (v4.0.23). Multilocus sequence typing and host-source harmonization (Human, Animal, Environment, Unknown) enabled clonal and reservoir stratification. Temporal trends in gene prevalence and resistance burden were modeled with robust regression. Geographic and host-associated structuring of key genes was assessed via χ2 and enrichment tests. Machine-learning models (elastic-net, random forests, XGBoost) were benchmarked for minimum inhibitory concentration (MIC) prediction via nested cross-validation, with performance evaluated by mean absolute error, RMSE, and SHAP-based feature importance. All analyses were conducted in R and Python using publicly available, de-identified genomic data. RESULTS: Aminoglycoside resistance-associated genes were dominated by modifying enzyme determinants, with ant(6)-Ia, ant(9)-Ia, aph(3')-IIIa, sat4, aadD1, and aac(6')-Ie/aph(2'')-Ia occurring in 14-22% of isolates worldwide. Temporal analysis revealed significant declines in several major determinants, most notably ant(9)-Ia (-2.22 percentage points per year, p < 0.001), whereas apmA exhibited a non-significant decreasing trend in animal isolates. Host structuring was marked: human clinical isolates concentrated common determinants, while animal and environmental isolates harbored rare alleles (apmA, spw, str, spd). Geographic mapping confirmed near-universal distribution of common genes but focal restriction of rare ones. Publicly available phenotypic data indicated strong activity of amikacin, whereas gentamicin showed a distinct resistant subpopulation that closely corresponded with AME gene carriage. Genotype-phenotype analyses demonstrated strong concordance, with gene-rich complements predicting resistant MIC strata and absence of determinants predicting susceptibility. Analysis across different gene classes revealed frequent co-occurrence of aminoglycoside resistance genes with determinants from other classes, such as mecA, blaZ, and MLS_B, embedding them within multidrug-resistant (MDR) genomic contexts. CONCLUSION: Over 25 years, the prevalence of aminoglycoside resistance-associated genes in S. aureus has declined for several common determinants, while rare veterinary-linked alleles are emerging in animal isolates. Strong genotype-phenotype concordance supports genomic prediction for gentamicin and amikacin, where MIC data are available, although phenotypic confirmation remains essential. The frequent co-occurrence of aminoglycoside resistance genes with other antimicrobial resistance determinants indicates their integration within co-occurrence patterns of MDR genes, defined here as clusters of co-occurring resistance genes often carried on shared mobile genetic elements. These patterns highlight the need for integrated One Health surveillance combining clinical, veterinary, and environmental monitoring with plasmid-context resolution to anticipate emerging threats.

Aminoglycosides↗

PubMed2026

From fragmentation to coordination: strengthening One Health research to support H5N1 preparedness in Cambodia.

OBJECTIVES: Highly pathogenic avian influenza A (H5N1) remains a major zoonotic threat, characterized by persistent transmission in Cambodia since its re-emergence in 2023. Despite strengthened surveillance and the establishment of the Inter-Ministerial Coordination Committee on One Health, limited integration of research across sectors constrains preparedness and response. This viewpoint examines how research supports the One Health system in Cambodia. METHODS: This viewpoint draws on insights obtained from the first national multistakeholder workshop on H5N1, held in March 2026. RESULTS: Fragmentation across epidemiological, clinical, behavioral, environmental, and genomic domains limits the generation of actionable evidence and delays its translation into policy. CONCLUSION: We propose the establishment of a multisectoral technical working group on H5N1 research embedded within the Inter-Ministerial Coordination Committee on One Health to align research priorities, strengthen data integration, and improve evidence-to-policy translation. This approach could enhance national preparedness while simultaneously positioning Cambodia as a model for coordinated One Health research in the Western Pacific region and beyond.

Avian influenza A (H5N1)↗

PubMed2026

From spillover to systems: evidence gaps in One Health preparedness for emerging infectious diseases in Latin America and the Caribbean.

Latin America and the Caribbean are a global hotspot for emerging and re-emerging infectious diseases, yet regional One Health preparedness remains uneven and incompletely operationalized. This narrative Mini Review synthesizes evidence published mainly between 2015 and 2026 on One Health preparedness for emerging infectious diseases in the region, emphasizing how environmental disruption and climate change shape zoonotic and vector-borne spillover risk. Available regional surveys suggest broad professional familiarity with the One Health concept but limited operational implementation, with environmental health frequently identified as the least-integrated domain. We argue that spillover risk-and the failure to detect and contain spillover once it occurs-should be understood as a system-level outcome shaped by ecological disruption, socioeconomic vulnerability, surveillance capacity, and governance, rather than as an isolated biological event: deforestation, agricultural and extractive expansion-including illegal mining and logging-unplanned urbanization, and climate variability generate new human-animal-vector interfaces, while fragmented governance, uneven and poorly decentralized laboratory capacity, and limited reservoir and environmental surveillance leave these interfaces unmonitored. Environmental and climatic drivers are robustly linked to spillover, although the pathways are disease-specific rather than universal, and socioeconomic vulnerability concentrates the resulting burden in Indigenous, rural, and marginalized populations. We identify priority gaps in integrated surveillance, decentralized diagnostics, genomic capacity, reservoir ecology, governance, financing, and equity, and propose an agenda for anticipatory, climate-informed, and context-sensitive preparedness.

Latin America↗

PubMed2026

MERS-CoV in the Middle East and Africa: from surveillance gaps in humans and dromedary camels to One Health frameworks for spillover, prevention, research and response preparedness.

Middle East respiratory syndrome coronavirus (MERS-CoV) remains a low-incidence but high-consequence zoonotic coronavirus threat. Since its identification in Saudi Arabia in 2012, more than 2600 laboratory-confirmed cases have been reported from 27 countries, most from the Arabian Peninsula; the reported case fatality ratio is high but probably overestimates infection fatality because mild and asymptomatic infections are under-detected. Dromedary camels across the Middle East, North Africa, East Africa, the Horn of Africa, and parts of the Sahel show extensive evidence of MERS-CoV infection or exposure, yet PCR-confirmed human disease has rarely been reported from Africa. This "Africa paradox" is one of the most important unresolved issues in MERS-CoV epidemiology. We propose a dromedary camel-centered One Health framework for the connected Middle East-Africa dromedary belt. The framework is organized around two linked barriers: an upstream barrier that detects and reduces zoonotic spillover at the camel-human interface, and a downstream healthcare barrier that prevents amplification after human infection occurs. Preparedness should include sentinel surveillance for severe acute respiratory infection and atypical pneumonia in camel-exposed populations, linked animal-human genomic surveillance, culturally respectful and occupationally practical risk reduction, rapid diagnostic pathways, healthcare infection prevention and control, mass-gathering and travel preparedness, and preapproved research platforms. A Middle East-Africa preparedness compact aligned with the International Health Regulations, One Health governance, and equitable pathogen access and benefit sharing could transform fragmented surveillance into a standing transregional system for early detection, prevention, and research-ready response.

Africa paradox↗

PubMed2026

Patterns of antimicrobial resistance genes in pathogens across One Health sectors in Ireland: an in silico approach.

As part of a rapid risk assessment, an in silico approach was used to detect antimicrobial resistance (AMR) in pathogenic isolates from humans, animals, and the environment. A total of 11,670 genomic data sets were retrieved from the NCBI Pathogen Detection system for Ireland, which represented 47 pathogenic species, including Salmonella enterica, Escherichia coli/Shigella spp., Staphylococcus aureus, Klebsiella pneumoniae, and Enterococcus faecium. Identifying the most critical pathogenic strains over time is essential, as these organisms significantly contribute to mortality, morbidity, and hospitalization. The analysis identified 799 antimicrobial resistance genes (ARGs), including their allelic diversity, 117 plasmid replicons, and 274 virulence factors. Several critical ARGs, particularly those conferring resistance to beta-lactams, aminoglycosides, quinolones, and colistin, were common across isolates originating from human, animal, and environmental sources, suggesting shared resistance profiles across One Health sectors. Klebsiella pneumoniae, E. coli/Shigella spp., S. enterica, and S. aureus were the dominant hosts of these ARGs and associated mobile genetic elements. Increasing resistance across major antibiotic classes aligned with trends reported across other European countries. This study provides a national-scale in silico comparison of AMR across pathogens and One Health sectors using publicly available genomic data. The findings help reinforce Ireland's AMR surveillance by showing which resistance genes are present and how they spread across critical pathogens in humans, animals, and the environment. These findings highlight the urgent need for improved antibiotic stewardship and integrated One Health surveillance to limit the emergence and spread of AMR.IMPORTANCEAntimicrobial resistance (AMR) is a growing threat to human, animal, and environmental health. This study used publicly available genomic data to identify antimicrobial resistance genes (ARGs) in key bacterial pathogens circulating in Ireland. By analyzing over 11,000 genomes from humans, animals, and the environment, we found that several dangerous resistance genes, including those against last-resort antibiotics, were widespread across different sources. The study highlights which bacteria and resistance genes are most critical and how they may spread between humans, animals, and the environment. These insights provide a national snapshot of AMR, supporting more effective monitoring and prevention strategies. By revealing patterns of resistance and modes of transmission, our findings underscore the importance of coordinated antibiotic stewardship and One Health approaches to slow the emergence and spread of resistant infections, protecting public health and ensuring antibiotics remain effective.

Humans↗

PubMed2026

A One Health approach to Antimicrobial Resistance: Concepts, challenges, and advances in omics.

Antimicrobial resistance (AMR) is a global threat driven by the interplay between microbial evolution and human activity. Antimicrobial use in human and veterinary medicine, as well as in agriculture, accelerates the selection and dissemination of resistant bacteria and genes across interconnected human, animal, and environmental reservoirs. These dynamic exchanges render single-sector interventions ineffective. A One Health approach integrating human, animal, and environmental health is therefore essential to understand and mitigate the emergence and spread of AMR. This chapter focuses on bacterial antimicrobial resistance, addressing key concepts, major challenges, and emerging technologies within a One Health framework. Advances in next-generation sequencing and omics technologies have transformed our capacity to resolve AMR at unprecedented scale and resolution. These tools enable the tracking of resistance genes and high-risk clones across ecosystems, uncover transmission pathways, and identify key drivers of dissemination. Such insights support real-time epidemiological surveillance, outbreak detection, and targeted interventions. However, translating these advances into routine practice remains a major challenge, requiring harmonized methodologies, data integration, and cross-sector coordination. Addressing AMR demands sustained collaboration across disciplines and stakeholders, including clinicians, veterinarians, farmers, researchers, policymakers, industry, and the public. And framing AMR as a shared ecological and societal responsibility underscores the urgency of coordinated global action. We call for the urgent integration of One Health principles into surveillance, policy, and innovation to preserve antimicrobial effectiveness and safeguard future health.

Humans↗

PubMed2026

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↗

PubMed2026

Advancing One Health genomics in Africa: opportunities and challenges for outbreak and antimicrobial resistance control.

SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics and surveillance systems into the continent's One Health strategy, particularly given the existing limitations in preparedness and technological resources. This review brings together current evidence on the growth of sequencing infrastructure, the development of regional genomic hubs, and the establishment of governance frameworks, while identifying critical challenges in data integration, bioinformatics capacity, and sustainable financing. Special focus is placed on the lack of African-based genomic data, with our analysis showing that only 1.82% of the global total is available. Case studies illustrate the immense potential and importance of pathogen genomics, giving policymakers a tangible sense of its impact. These examples demonstrate how genomic technologies integrated with artificial intelligence (AI) are transforming outbreak response, AMR surveillance, and stewardship programs by enabling early detection of zoonotic threats, mapping transmission pathways, and guiding vaccine development. However, to fully realize this scientific intel, it is essential to embed One Health pathogen surveillance within strong policy and system frameworks to ensure the translation of technical progress into lasting institutional capacity and sustainable impact. Long-term implementation depends on coordinated investment and advocacy across four interdependent pillars: data architecture, governance and sovereignty, human capital, and technical capacity.

Humans↗

PubMed2026

Respiratory pandemic risk in the Anthropocene: A One Health framework and GISRS+ agenda.

Recent epidemics and pandemics caused by respiratory viruses, alongside the animal panzootic spread of highly pathogenic avian influenza A(H5Nx), have become a structural feature of the Anthropocene, yet responses remain largely reactive. This review integrates findings from WHO's Global Influenza Surveillance and Response System (GISRS) and related surveillance data (2000-2024), epidemiological studies of influenza A virus, SARS-CoV, MERS-CoV, SARS-CoV-2, and H5Nx, and One Health literature. We examine major groups of respiratory viruses and identify mismatches between risk and surveillance by focusing on spillover potential from animal hosts, human-to-human transmission and its controllability, and Anthropocene characteristics that increase epidemic risk. The analysis indicated that SARS-related coronaviruses and influenza A viruses, particularly H5Nx, are among the leading candidates based on currently available evidence because they have large reservoirs in animal hosts and spillover to humans is highly probable. The previous presymptomatic spread of SARS-CoV-2 and recent mammalian adaptation in H5N1 clade 2.3.4.4b highlight limitations of the traditional symptom-based and pathogen-specific surveillance system. Spillover events tend to occur in tropical and subtropical regions in low- and middle-income countries, but most genomic surveillance is in high-income countries. We propose interventions that address the upstream, midstream, downstream processes of epidemics. Upstream interventions are primary prevention measures related to land use, livestock, wildlife, and urban environments; midstream interventions are GISRS+-based pathogen-agnostic genomic and metagenomic early warning systems triggered by One Health; and downstream interventions include vaccines, antivirals, non-pharmaceutical interventions, and engineering with equity-centred global governance and sustainable financing.

Anthropocene↗

PubMed2025

A One Health perspective: Genomic insights into temporal trends of antimicrobial resistance and zoonotic transmission risks in Escherichia coli from human and swine.

Antimicrobial resistance (AMR) poses a significant challenge within the One Health framework. By integrating genomic data from 824 E. coli isolates obtained from 22 swine farms in southwestern China with 8432 publicly available genomes from human and swine sources, this study provides comprehensive insights into the temporal trends and divergence of AMR in human and swine E. coli populations, the risk of AMR transmission from swine to human, and the evolutionary mechanisms underlying the human adaptation of ST2 strains. The results revealed an overall increase in AMR until approximately 2016, followed by a subsequent decline. However, resistance to tetracyclines, quinolones, and phenicols continues to exhibit an upward trend, highlighting the urgency of enhancing regulatory measures targeting these drugs. Horizontal gene transfer play pivotal roles in shaping distinct AMR profiles in human and swine strains. ST2 E. coli was identified as a major carrier of AMR in both human and swine, and also served as the primary reservoir of blaNDM-5 within the human-associated lineage. During evolution, ST2 E. coli underwent significant genetic changes, including the enrichment of blaNDM-5 and remodeling of virulence factors, facilitating its transition from a generalist lineage colonizing both human and swine to a human-adapted lineage.

Humans↗

PubMed2026

Genomic and One Health insights into Vibrio parahaemolyticus from environmental, seafood and clinical sources.

Vibrio parahaemolyticus is a leading cause of seafood-borne gastroenteritis worldwide, with climate warming facilitating its spread to high-latitude areas. In this study, we analyzed 212 genomes of environmental and seafood-associated isolates collected from seven cities in Zhejiang Province, China (2019-2024), alongside 228 clinical genomes from public databases. The 212 isolates were assigned to 172 sequence types (STs), with ST490 being the most frequent (5/212, 2.36%). Forty-four serotypes were identified, dominated by OL3:KUT (12.68%). High ST and serotype diversity were observed across different sample types and sources, with median pairwise single nucleotide polymorphisms (SNPs) ranging from 57,431 to 58,378, indicating comparable genetic diversity across groups. All isolates carried tlh and T3SS1 but lacked tdh and T3SS2. Resistance rates against ampicillin and cefazolin were 54.72% (116/212) and 44.34% (94/212), respectively, with multidrug resistance (MDR) detected in nine isolates, predominantly from seafood (7/9). A total of 63 distinct antimicrobial resistance genes (ARGs) spanning seven classes were identified. Isolates from aquaculture farms and wet markets exhibited greater resistance category diversity and higher ARG carriage than those from coastal or riverine sites. In contrast, the 228 clinical isolates harbored only 25 ARGs across two classes, with a significantly lower proportion of isolates carrying multiple ARG classes (0.44% vs. 6.13%, P < 0.001). Human isolates formed tighter phylogenetic clusters, although a minority were closely related to environmental/foodborne strains. Overall, our findings demonstrate the genetic diversity and resistance potential of V. parahaemolyticus across environmental, seafood, and clinical sources, highlighting the importance of the One Health approach to comprehensive public health risk assessment.

Vibrio parahaemolyticus↗

PubMed2025

Developing and Benchmarking One Health Genomic Surveillance Tools for Influenza A Virus in Wastewater.

Influenza A viruses (IAV) remain a persistent One Health threat, and whole-genome sequencing from wastewater offers a promising surveillance tool. However, IAV is at low abundance in wastewater, making it difficult to sequence. We benchmarked four targeted enrichment methods suited for whole-genome sequencing including custom and off-the-shelf amplicon and probe-based methods. Our custom HA tiled-amplicon panel was sensitive, fast, and cost-effective, making it suitable for monitoring low-abundance seasonal variants of known subtypes. However, its reliance on conserved and intact primer-binding sites limited primer design to fewer subtypes. A previously published universal amplicon method targeted all IAV subtypes, but it performed poorly in wastewater due to its reliance on intact genome segments. Probe-capture methods were resilient to RNA degradation and mismatches, potentially enabling broader surveillance and detection of emerging strains. However, probes were costly, labor-intensive, and less sensitive than tiled-amplicon. When testing compatibility of sequencing methods with upstream virus concentration and extraction methods, ultrafiltration-based virus concentration outperformed large-volume direct extraction with all four sequencing methods. This set of benchmarking comparisons and custom panels provides needed information for the translation of IAV genomic sequencing into a routine component of wastewater surveillance.

Journal Article↗

PubMed2026

Addressing the dual-use of antifungals and fungal antimicrobial resistance (fAMR) through a One Health approach.

Fungal antimicrobial resistance (fAMR) is accelerating, driven in part by the dual-use of antifungal modes of action in agriculture and medicine, threatening therapy. Addressing this challenge requires a unified One Health response that balances agricultural productivity, economic stability, and human and animal health. By focusing on the United Kingdom's policy approach, we argue that current efforts are constrained by fragmented governance, surveillance and regulation. To resolve this, we propose three policy recommendations: 1. a cross-government fAMR body, 2. mandatory environmental and clinical surveillance, and 3. for fungicide approvals to look beyond crop pathogens and integrate risk assessments for potential hotspots of resistance selection in human fungal pathogens. These measures will safeguard current and future antifungals while providing much-needed regulatory clarity and will be translatable to other national and regional contexts.

Journal Article↗

PubMed2026

"One Health"-based epidemiological investigation reveals the emergence of carbapenem-resistant Morganella spp. across diverse ecological niches.

OBJECTIVES: To investigate the prevalence, genomic relatedness, and resistance characteristics of carbapenemase-gene-positive Morganella spp. (CRM) across human, animal, fly, and aquatic sources. METHODS: A total of 163 Morganella isolates were collected from humans (n=124), animals (n=5), flies (n=21), aquatic environment (n=13) across 13 provinces or municipalities during 2018-2024. A subset of 71 representative isolates was subjected to antimicrobial susceptibility testing (AST), whole-genome sequencing and conjugation experiments. RESULTS: Among 163 isolates, 18 were carbapenemase-gene-positive: 15 carried blaNDM-1 alone, two carried blaKPC-2 alone, and one carried both genes. They were recovered from humans, flies, and hospital sewage. Five isolates carried blaPER-4; four carbapenemase-negative carriers were resistant to both ceftazidime/avibactam and aztreonam/avibactam. The aac(3)-IV gene was associated with high apramycin MICs and was most frequent in animal- and fly-derived isolates. Phylogenetic analysis showed diverse lineages, with limited low-SNP links between human and urban-river isolates. blaNDM-1 was transferred successfully from 11 of 16 donor isolates. CONCLUSION: CRM occur across multiple One Health niches. The findings highlight environmental and non-human reservoirs as potential contributors to their dissemination and identify blaPER-4 and aac(3)-IV as resistance-associated genes requiring further study.

Animal↗