Data in Brief

Background: Shotgun metagenomic pipelines routinely discard host-derived reads, which can exceed 90% of reads in low-biomass clinical samples. Whether these reads support mitochondrial heteroplasmy detection, and at what allele fraction, has not been established. Methods: Shotgun metagenomic data from 47 upper respiratory tract swabs from healthy adults in Nagpur, India, were analysed. Human Reads were recruited against the rCRS and realigned competitively to GRCh38 to remove nuclear mitochondrial segments (NUMTs). Kraken2 was used as a microbial control. Heteroplasmy was called against a pooled, substitution-specific beta-binomial error model and a leave-one-out panel of normals. The detection limit was evaluated from the substitution spectrum against gnomAD v3.1. Results: Complete mitochondrial genomes were recovered from all samples (mean depth 433X, range 9-3,029X). Competitive realignment relocated 3.22% of recruited reads to nuclear loci; microbial cross-mapping removed 0.045%. Error rates varied 12.8-fold across substitution classes, with T>A being the highest. The 134 calls had a Ti/Tv of 0.43, compared with 3.51 in gnomAD, and T>A accounted for 42.5% of calls. T>A allele fractions never exceeded 4.72%, whereas transitions reached 90.81%. At a 5% threshold, T>A calls disappeared, and Ti/Tv rose to 2.20 before plateauing; 16 calls exceeded this limit. Macrohaplogroups were assigned in 46 of 47 samples (M 22, R 23, N 1). Conclusions: Metagenomic host reads support complete mitochondrial recovery, haplogroup typing, and heteroplasmy detection for allele fractions > 5%. Below this, a T>A-dominated error process persists after NUMT removal that background-fitted models do not capture.

Electroencephalography (EEG) preprocessing determines signal quality and interpretation, particularly for transcranial magnetic stimulation combined with EEG (TMS-EEG), where recordings are affected by large and complex stimulation-related artifacts. Several preprocessing approaches have been developed, but substantial variability remains in how pipelines are implemented, documented, and evaluated across recordings, limiting reproducibility and comparability across studies. We developed NESTApp, a MATLAB-based graphical interface built on EEGLAB, to provide an accessible and reproducible framework for implementing and evaluating TMS-EEG preprocessing pipelines. Rather than prescribing a specific pipeline, NESTApp allows users to construct and consistently apply customisable workflows incorporating established EEGLAB and TMS-EEG processing tools, while automatically documenting processing decisions and parameters. Integrated quality-control procedures track data removal and flag recordings based on user-defined criteria, facilitating systematic evaluation across participants. The application also supports group-level visualisation and export of processed TMS-EEG measures for subsequent analyses. Applied to 29 recordings from 16 participants, NESTApp processed 27 and identified those requiring further inspection. By integrating pipeline implementation, documentation, quality control, and group-level evaluation within a single interface, NESTApp provides a transparent framework for TMS-EEG preprocessing that may improve reproducibility, facilitate consistent processing across cohorts, and lower technical barriers to the implementation of established preprocessing approaches.

Background: Hepatitis E virus (HEV) is highly endemic in several African countries with high mortality rate among pregnant women. The prevalence of HEV in Niger among pregnant women is unknown. We hereby aim to report the prevalence and risk factors of HEV among pregnant women in Niamey, Niger. Methods: Blood samples were collected from pregnant women attending antenatal consultation in three selected Health centers in Niamey. Data were collected for socio demographic characteristics using a structured questionnaire. Samples were tested using ELISA and qRT-PCR for anti- HEV IgM and RNA detection respectively. HEV associated risk factors were determined using multivariate logistic regression models. Results: A total of 491 pregnant women were enrolled with mean age of 26.5 years. The prevalence of anti-HEV IgM antibodies was 17.1%, while HEV RNA was detected in 3.46% of participants, indicating recent and active HEV infection. Anti-HEV IgM seropositivity was more frequent among women aged 26-30 years and those in the third trimester of pregnancy. Gravidity was significantly associated with HEV RNA positivity (p = 0.032). In multivariable analysis, the use of well water was independently associated with HEV infection (aOR = 75.70; 95% CI: 1.23-4643.20; p = 0.039). Conclusion: In view of the high seroprevalence of HEV among pregnant women, preventive measures including hygiene sensitization should be prioritized. Further studies should be conducted to assess the real impact of HEV infection on maternal and fetal health.

ABSTRACT Background: Poliomyelitis remains a major public health concern where population immunity is incomplete and circulating vaccine-derived poliovirus (cVDPV) persists. Although Nigeria interrupted wild poliovirus (WPV) transmission in 2020, cVDPV cases continue to pose challenges, particularly in parts of northern Nigeria. Modern control strategies require a synergy of routine immunization, supplementary campaigns, disease surveillance, and community trust. Methods: This multicentre descriptive cross-sectional study evaluated community knowledge and attitudes towards polio immunization across 37 Local Government Areas (LGAs) in 20 states and the Federal Capital Territory (FCT). A multistage sampling strategy was utilized to select 1,850 adult respondents (50 per LGA) spanning rural, semi-urban, and urban settlements. Results: Overall, 40.4% (n = 747) of respondents demonstrated good knowledge, while 58.4% (n = 1,080) displayed positive attitudes towards polio immunization. A striking disparity was observed across residence classifications: respondents in urban/semi-urban LGAs exhibited significantly higher levels of good knowledge (51.7%, 569/1,100) compared to those in rural LGAs (23.7%, 178/750; {chi} = 144.00, df = 1, p < 0.001). Main sources of information were Questionnaire responses (53.6%) and community and Traditional leaders(17.2%). Conclusion & Recommendations: Substantial knowledge deficits persist in rural northern Nigerian communities despite generally favorable attitudes. Interventions must prioritize localized risk communication, involvement of traditional/religious leaders, strengthening routine primary healthcare integration, and targeting zero-dose children in hard-to-reach areas. Keywords: Poliomyelitis, Oral Polio Vaccine, Vaccine Hesitancy, Northern Nigeria, Community Health, Routine Immunization.

BACKGROUND: Pesticides are extensively used in agriculture, raising concerns about their potential impact on human health through dietary and environmental exposure. OBJECTIVES: This study evaluated the in vitro cytotoxicity of ten commonly used pesticides and their mixtures (lambda-cyhalothrin, cypermethrin, deltamethrin, tebuconazole, glyphosate, acetamiprid, cyprodinil, piperonyl butoxide, fluopyram, and imazalil) on human intestinal Caco-2 cells. METHODS: Cytotoxicity was assessed using the MTT assay, as a measure of metabolic activity, and the trypan blue exclusion test, as an indicator of cell membrane integrity. FINDINGS: Results showed that high concentrations (100 mg/L) of all pesticides significantly reduced cell viability and vitality. Notably, glyphosate and tebuconazole exhibited significant toxicity even at lower concentrations, respectively 0.1 mg/L and 10 mg/L. Combination treatments (Top 3 and Top 8 pesticide mixtures) retained the cytotoxic effects observed for individual compounds, showing additive (non-synergistic) effects. CONCLUSIONS: Overall, these findings indicate that certain pesticides-based herbicides can exert cytotoxic effects on intestinal cells even at relatively low concentrations and highlight the importance of using the component-based approach in mixture risk assessment for humans. This study was performed as part of the EU SPRINT (Sustainable Plant Protection Transition: A Global Health Approach) project.

Pesticide use is ubiquitous. While pesticide resistance in target species such as insects is a well-known phenomenon, it is less known how pesticide exposures affect the genetics of non-target species. Here, we demonstrate the research value of integrating existing datasets to study the relationship between chemicals and biodiversity from the genetics perspective by analyzing spatial pesticide concentration data and genetic data from Europe that were not initially generated for toxicological purposes. Specifically, we found associations between environmental pesticide concentrations and genetic variation (i.e., single nucleotide polymorphisms, SNPs) in a non-target species, the wild boar. Gene Ontology (GO) terms and biological signaling pathways related to nervous system function were overrepresented for the impacted genes, especially for insecticides and fungicides. Further, we found that external studies characterizing the molecular mechanisms of these pesticides revealed the same pesticide - GO relationships as those observed in our analysis. Our results show that pesticide-induced genetic changes may not be constrained to target species but may also have an impact on the long-term viability of other wildlife populations. We therefore encourage further research into this area and collaboration across disciplines to develop more comprehensive designated datasets for such analyses. This finding also urges the consideration and inclusion of chemical exposure into conservation protection strategies and greater consideration of genetic impacts from chemicals in environmental risk assessment.

Aquaporin-10 (AQP10) is an aquaglyceroporin that transports small, uncharged molecules, such as water and glycerol. In some species, such as mice and cattle, the AQP10 gene (Aqp10) is pseudogenized. In rodents, pseudogenization of Aqp10 is limited to the Myomorpha suborder, while Aqp10 remains intact in other rodent lineages. The order Cetartiodactyla encompasses diverse species, including Suina, Tylopoda, Ruminantia, and Whippomorpha. The distribution of intact Aqp10 across the entire Cetartiodactyla and analyses estimating the timing of Aqp10 pseudogenization have not been sufficiently investigated. In this study, we identified species within Cetartiodactyla that retain intact Aqp10 and analyzed the detailed patterns of pseudogenization to elucidate the specifics of pseudogenization within this order. We collected Aqp10 loci by BLAST and synteny analyses of publicly available genome databases of 51 cetartiodactyl species from 17 families. Dot plot and alignment analyses revealed that seudogenization of Aqp10 occurred in 42 Cetartiodactyla species, including the Camelidae, warthog (Suidae), Antilocapridae, okapi (Giraffidae), Cervidae, Bovidae, Hippopotamidae, and Cetacea. In contrast, nine species retained an intact Aqp10: pig and babirusa (Suidae), peccary (Tayassuidae), mouse deeres (Tragulidae), giraffes (Giraffidae), and musk deers (Moschidae). The timing of pseudogenization was estimated by comparing patterns of exon deletions, frameshifts, and nonsense mutations in Aqp10 pseudogenes. RT-PCR analysis of cattle and sheep tissues revealed that these species express Aqp3 and Aqp7 in their intestines, but not Aqp10. Collectively, these findings indicate that Aqp10 pseudogenization occurred independently in multiple cetartiodactyl lineages and provide new insights into the evolutionary history of Aqp10 loss within this order.

Background: Current Lynch syndrome (LS) prediction models do not account for detailed family structure and tumour mismatch repair (MMR) status. We developed LynchRisk, a Bayesian model that estimates individualized LS probability from pedigree, cancer history and tumour MMR test results. Methods: LynchRisk combines Mendelian inheritance, age- and sex-specific cancer hazards, affected and unaffected relatives, and detailed MMR status. Parameters were derived from the literature. Results: In two simulated cases of probands with LS-associated cancers, family structure and MMR status markedly changed LS probability estimates, with implications for germline testing decisions. LynchRisk also identified situations in which a negative germline result might be considered sufficient to rule out LS or, conversely, prompt further investigations such as somatic MMR or long-read sequencing. Discussion: LynchRisk gives individualized LS probability by combining clinical, family, and tumour data at different stages of the diagnostic process. Further work will focus on recalibrating cancer hazard functions, validating model performance through simulations, and developing an R package for use by interested research groups.

Antimicrobial resistance is a global One Health threat connecting antimicrobial use in human health, animal husbandry, and companion animal health with concern for persistence in environmental reservoirs. Complicating this threat is the gap that exists in our understanding of the intersection of antimicrobial resistance among humans and our companion and food production animals. This study applies a visual and statistical approach to further understand antimicrobial resistance characteristics and relatedness of Escherichia coli found in humans, dogs and cattle. The primary study collection included third-generation cephem resistant (3GCR) E. coli isolates recovered from human, dog, and cattle gastrointestinal specimens and secondarily human and dog isolates recovered from infection sources, primarily urinary tract infections. We previously reported on the transferable gene targets encoding for 3GCR in colonizing isolates and here further identified the familial-like clonal group of each resistant isolate using a novel clonotype diagnostic (septatyping). Together, this approach identified distinct genetic signatures among these 3GCR isolates, many of which are peculiar to their respective host species. We found that the overlap measured by the correlation in abundance of shared clonotypes of resistant E. coli among hosts revealed statistically greater similarity between dogs and humans than between cattle and humans. Yet, the reservoir of AMR genes was highest in cattle and secondarily dogs. While these findings demonstrate that clonotypes of 3GCR E. coli in humans, dogs and cattle display significant host specificity, transient colonization from a host enriched with resistant strains may still pose considerable risk of horizontal transfer of resistance genes between hosts living in proximity to each other.

Abstract Background: Cyprus has transitioned into a high-alert zone for mosquito-borne viruses. This necessitates a proactive assessment of its future physicians. Following the 2022 re-establishment of Aedes aegypti in Larnaca and Aedes albopictus in Limassol, Cyprus, the island is now biologically primed for local outbreaks of dengue, Zika, and chikungunya, alongside Culex-borne West Nile virus. The study assessed medical students' knowledge and risk perception. Methods: A cross-sectional online survey administered the validated MosquitoWise Health Belief Model instrument to undergraduate-entry and graduate-entry students at a university in Cyprus in mid-2026. Results: Of 1023 students, 119 responded (11.6%), with pre-clinical students overrepresented (p<0.001). Mean knowledge was 5.43/9, stronger on mosquito biology (72.5%) than virus knowledge (54.2%). Median severity was 6.00/7 against susceptibility 4.25/7. Knowledge differed by study stage (p<0.001), correlated with severity (rs = 0.399) but not susceptibility. Conclusions: The study establishes a critical baseline for pre-clinical medical students in Cyprus. Overall, participants performed better on mosquito biology when compared to mosquito-borne viruses and how they spread. Our findings highlight the value of integrating theoretical microbiology with clinical practice in medical education to enhance physicians' preparedness for the changing landscape of newly emerging infections in Cyprus and across Europe as a whole. Key Words: Arboviruses, Cross-Sectional Studies, Cyprus, Health Belief Model, Medical Students, Risk Perception.

The molecular epidemiology of Acinetobacter, which is almost exclusively culture-dependent, has centered mainly on clinical isolates of A. baumannii. Yet, this overlooks sources not amenable to microbial culture and many non-A. baumannii species. Here, by analysing metagenomic projects from public transport systems worldwide, we show that metagenome-assembled genomes (MAGs) are highly relevant for assessing the unrecognized diversity of Acinetobacter. We recovered 839 Acinetobacter MAGs, with 269 being high-quality MAGs. The high-quality MAGs were across more than 20 well-defined Acinetobacter species; however, five species (A. nosocomilalis, A. ursingii, A. radioresistens, A. schindleri, and A. variabilis) had the most MAGs. Pangenome and phylogenetic diversity analyses of 685 genomes plus the 269 high-quality MAGs from those 5 species showed that MAGs are an important source of both lineage and gene diversity. Also, FST analyses and genome phylogenies show that for some species there is no genetic differentiation between MAGs and clinical isolates, implying transmission between hospitals and public transport settings. In addition to finding the antibiotic resistance genes (ARGs) in MAGs, we implemented an ad hoc strategy (leveraging the use of genomes) to recover considerably more ARGs. PCoA and PERMANOVA analyses show that, whereas in A. nosocomialis and A. ursingii, the ARG profiles of MAGs and clinical genomes are different, in A. radioresistens and A. schindleri, the ARG profiles are not different. Finally, some clinically important ARGs, such as sul1 and sul2, aadA, and blaOXA23, were found in all or some of the 5 species. Our study shows how combining MAGs and regular genomes is a powerful strategy for better appraising the genomic diversity (including the resistome) of Acinetobacter. On a broader level, our study showcases the importance of MAGs for genomic surveillance of man-made environments with clear public health implications.

Morganella morganii is an opportunistic pathogen with intrinsic and acquired antimicrobial resistance, but its genomic epidemiology remains poorly characterized in Bangladesh. We sequenced and compared genomes of 47 stool-derived M. morganii isolates from hospital (n = 29) and community (n = 18) participants in urban Dhaka. Susceptibility testing showed frequent resistance to imipenem (70.2%) and cefuroxime (97.9%), while all isolates were resistant to colistin. Resistance to meropenem (6.4%) and ertapenem (2.1%) was uncommon. Based on acquired non-susceptibility across tested antimicrobial categories, 18/47 (38.3%) isolates were multidrug-resistant, including 15/29 (51.7%) hospital-derived and 3/18 (16.7%) community-derived isolates. Genomic analysis identified 17 {beta}-lactamase alleles including Morganella-associated chromosomal {beta}-lactamases and acquired resistance determinants, with blaOXA-1, blaDHA-21, blaCTX-M-15, and blaTEM-1 predominating. However, no recognized acquired carbapenemase genes were detected. Among 44 non-{beta}-lactam resistance genes, tetB was most frequent. Phylogenomic and average nucleotide identity analyses classified 31 isolates as M. morganii subsp. morganii and 16 as the subsp. intermedius lineage. Considerable population diversity was observed, with 33 distinct sequence types among the 47 isolates and no clear clustering by hospital or community origin. The subsp. intermedius isolates showed greater genomic heterogeneity than subsp. morganii, with a minimum within-group average nucleotide identity of 94.2%. Single nucleotide variant (SNV) analysis identified several closely related isolate groups, including an ST1 pair differing by 10 SNVs and collected three days apart within the same hospital, although direct transmission could not be established. Virulence-associated gene profiles differed between subspecies, with hemolysin- and toxin-associated genes predominantly detected among subsp. morganii isolates and largely absent from subsp. intermedius. Overall, these findings reveal substantial genomic diversity, a considerable burden of multidrug resistance, and subspecies-associated differences in virulence gene content among M. morganii circulating in Dhaka, while the frequent imipenem-non-susceptible but carbapenemase-negative phenotype highlights the need to investigate alternative carbapenem resistance mechanisms.

In Germany, insecticide use is recommended during mosquito-borne disease outbreaks, yet nationwide data on insecticide resistance in key vector species are scarce. This is particularly relevant for Culex pipiens s.l., a vector of West Nile virus. Here, we provide the first broad-scale assessment of molecular insecticide resistance (kdr and ace-1 mutations) in Cx. pipiens f. pipiens across Germany. We associated insecticide resistances with environmental conditions, potential links with mitochondrial variation of the cytochrome c oxidase I (COI) gene as well as phenotypic resistance (CDC bottle assay with permethrin) of the Frankfurt population with elevated kdr frequencies. Kdr resistance alleles were detected in German Cx. pipiens f. pipiens reaching frequencies of up to 50% in the metropolitan areas of Berlin and Frankfurt am Main. Annual precipitation was negatively associated with kdr allele frequency. Interestingly, ace-1 resistance mutations were only present in the metropolitan area of Frankfurt am Main and in Muggensturm (Rhine valley, southwestern Germany). COI haplotype analyses revealed low genetic variability within German Cx. pipiens f. pipiens populations with no association to the insecticide resistance genotype. Phenotypic assays of the Frankfurt population showed early signs of permethrin resistance, but unmatched genotypic and phenotypic resistance state. This study provides the first broad-scale assessment of molecular insecticide resistance in Cx. pipiens f. pipiens across Germany, establishing a baseline for resistance surveillance and vector control. Further research is needed to identify factors shaping phenotypic resistance, as molecular markers alone may not reliably predict resistance. Since sampling was restricted to urban green spaces, broader sampling across environmental gradients is needed to identify additional environmental effectors.

Sepsis is a substantial contributor to neonatal mortality in Africa, with Klebsiella pneumoniae as the leading causative pathogen. Incorporating molecular tools such as whole genome sequencing (WGS) into routine surveillance of important bacterial pathogens, including those causing neonatal sepsis, can support targeted deployment of infection prevention and control measures and treatment interventions. This study aimed to understand the current practices and capacity for culture, identification and genomic analysis of bacterial pathogens in Africa, with a particular focus on K. pneumoniae, to support standardised genomic surveillance. A cross-sectional online survey was distributed to various clinician and scientist networks across Africa. All respondents completed a demographics section, while sections on laboratory test capacity, blood culture practices, WGS, and bioinformatics analysis were completed based on experience in these aspects. Responses were received from 52 institutions in 25 African countries. Among 51 institutions completing the laboratory test capacity section, 61% reported performing blood cultures, with the majority using manual commercial biochemical systems for species identification (71%) and manual disk diffusion for antibiotic susceptibility testing (82%). Participating institutions reported near-universal access to a -80{degrees}C freezer, centrifuge and thermocycler, but shaking incubators were less commonly available (67%). More than half of respondents (54%) indicated that they perform the entire WGS workflow (including DNA extraction, library preparation and WGS) internally, with most performing DNA extraction internally (88%) using column-based kits (70%). Outsourcing was progressively more common at later workflow stages. Infrastructure challenges that limit bioinformatics analysis capabilities were reported by all 23 respondents who completed this question, including limited access to high-performance computing and data storage space. This survey found sufficient capacity to support genomic surveillance of neonatal sepsis pathogens across participating African institutions. However, investments in blood culture, supply chains, sequencing, bioinformatics, and data dissemination capacity are needed to realise its full potential. These findings will support the development of standardised genomic surveillance protocols tailored to the diverse capacities of African laboratories.

Anticipating and managing the impact of herbivorous pests requires evidence-based knowledge about the interactions between pests and their natural enemies. Knowledge of species' ecologies and biological interactions are typically disseminated in unstructured text across hundreds of thousands of scientific articles spanning a rapidly growing scientific literature, but manually screening this literature is time-consuming and impractical at scale. Taxonomic and geographic coverage thus remains sparse, and structured data on interactions between individual species are lacking, particularly for invertebrates. Large language models (LLMs) have recently emerged as a novel and powerful text-mining tool for knowledge extraction and evidence synthesis in a wide range of scientific disciplines, including ecology and conservation. In this study, we use an open-weight, pre-trained LLM to analyse abstracts of a corpus of published material on biological pest control to obtain a global Database of Pest Herbivores and their Natural Enemies (DAPHNE). This method resulted in the extraction of 175,404 species interactions from 112,830 published pest control studies, containing16,755 unique animal taxa resolved at the species level. Interactions include herbivory (granivory, frugivory and gall-formation), predation, parasitism and hyperparasitism, and comprise a range of additional information, such as species' taxonomy, pest status, pest importance, natural enemy importance, provision of biocontrol, associated plants and industries, invasiveness and the vectoring of pathogens and diseases. Validation of the results shows that most data columns were extracted with high recall and precision (>90%) and comparison of DAPHNE with other sources shows a high degree of agreement, but also highlights that the dataset contains information that may have been missed by other sources. In addition to the identification of important crop pests and their natural enemies, DAPHNE may be used for a variety of use-cases, including the identification of invasive species and pathogen vectors, trophic network analysis and literature search and discovery.

Dissolved organic matter (DOM) is a central component of biogeochemical cycling, but molecular observations generated by ultrahigh-resolution mass spectrometry remain fragmented across studies, limiting quantitative comparisons among ecosystems. Here, we compile and harmonize a global dataset of DOM molecular traits comprising 3,999 samples from 337 studies published between 2005 and 2026. The dataset includes eight intensity-weighted molecular traits: hydrogen-to-carbon (H/C), oxygen-to-carbon (O/C), nitrogen-to-carbon (N/C), and sulfur-to-carbon (S/C) ratios; molecular mass; double-bond equivalents (DBE); modified aromaticity index (AImod); and nominal oxidation state of carbon (NOSC). Samples span aquatic, terrestrial, atmospheric, plant-associated, petroleum-related, and other environments, and are linked, where available, to geographic, physicochemical, nutrient, and climatic metadata. Molecular data were harmonized using common definitions and restricted to negative-mode electrospray-ionization FT-ICR MS to improve cross-study comparability. This resource enables cross-system comparisons of DOM molecular traits and supports analyses of environmental gradients, geographic coverage, and global DOM chemogeography.

Herbarium collections represent an important but frequently underutilized source of information for documenting medicinal plant diversity and preserving ethnomedicinal knowledge. We assessed the medicinal plant diversity represented in herbarium records from the Gombe State University Herbarium (GSUH), Nigeria, and evaluated patterns in taxonomic composition, therapeutic applications, and plant parts reported for medicinal use. We also tested the hypothesis that the plant parts used medicinally are not randomly distributed across therapeutic or ailment categories, but that particular plant parts are disproportionately associated with specific therapeutic applications. The resulting dataset comprised 1,576 specimen records, including 768 recorded as medicinal plant species across 94 families and 1,426 medicinal-use records (Table S1). Fabaceae was the most species-rich family (15.8%), followed by Asteraceae (9.3%), Malvaceae (4.8%), Lamiaceae (4.4%), Rubiaceae (3.2%), and Apocynaceae (3.2%). The most frequently represented therapeutic themes were infections and sexually transmitted diseases (50.7%), gastrointestinal disorders (41.9%), pain, inflammation, and rheumatism (41.9%), fever and malaria (40.2%), and skin diseases and wounds (40.0%). Individual species had a mean of 2.98 therapeutic themes, with medicinal breadth ranging from 1 to 7 themes. A species-aware permutation test confirmed that the observed plant-part and therapeutic-theme association was significantly stronger than expected under random association (9,999 permutations, P < 0.0001). These findings demonstrate the value of herbarium collections as taxonomically anchored resources for recovering information on medicinal plant diversity. Integrating herbarium records with published ethnomedicinal knowledge provides a reproducible framework for linking plant diversity, taxonomy and traditional medicinal applications and highlights the potential of underutilised African herbaria for ethnopharmacological research.

Megadiverse countries concentrate most of the World's biodiversity. These countries encompass different levels of research infrastructure, and nearly all of them have been historically committed to the Convention of Biological Diversity, often setting precedents and leading new approaches. Here, we ask whether the assessment of genetic diversity indicators provide novel insights for biodiversity management and conservation in one of those countries, Mexico. We evaluated the first national application of the Kunming-Montreal Global Biodiversity Framework (GBF), genetic diversity indicators in Mexico. The data covered 97 taxa across diverse ecosystem types and taxonomic groups, including crop wild relatives, to assess the capacity of genetic diversity indicators to provide novel insights, as well as their relevance for strengthening national conservation strategies. We calculated two indicators: the proportion of populations with an effective population size greater than 500 (Ne 500) and the proportion of populations maintained (PM). Data were sufficient to estimate the Ne 500 indicator for 47 taxa and the PM for 28 taxa, with mean indicator values of 0.217 and 0.936, respectively. Species' geographic range was positively associated with Ne 500, whereas national endemicity had no significant effect. Comparisons with the IUCN Red List and Mexico's national extinction-risk legislation revealed that genetic vulnerability occurs even among taxa not currently recognized as threatened. Our findings highlight a gap in legal recognition of genetic diversity protection that could be strengthened by incorporating population-level assessments focused on maintaining adaptive potential in the long-term. Additionally, the indicators allowed to highlight conservation concerns within crop wild relatives, though fully realizing their potential requires integrating the entire wild-to-domesticated complex. The Mexican experience highlights that the main challenge for scaling the monitoring of genetic diversity is not only generating new data, but integrating existing information into systems that strengthen collaboration and communication among researchers, local communities, and government institutions.

Background: Childhood lead exposure is a major global health concern. The 2025 Bangladesh Multiple Indicator Cluster Survey (MICS7) measured blood lead in a nationally representative sample of children aged 12-59 months for the first time. Preliminary reports suggested elevated blood lead was more common in wealthier urban households, contrary to the usual assumption. Methods: We analysed 10,622 children with a valid blood lead result (10,458 with complete covariate data for regression models). Elevated blood lead was defined as >=5 ug/dL. Prevalences are survey-weighted with design-based confidence intervals. Associations were estimated with survey-weighted logistic regression using stratified-cluster (Taylor-linearised) variance, and checked with a stratified bootstrap of primary sampling units and Benjamini-Hochberg false-discovery-rate control. Sensitivity analyses varied the outcome definition, the sample, and the weighting. Results: Survey-weighted prevalence of elevated blood lead was 38.5% (95% confidence interval [CI] 37.2-39.9%). Prevalence rose monotonically from 30.2% in the poorest to 51.9% in the richest wealth quintile. In the fully adjusted model, each wealth quintile was associated with 23% higher odds (adjusted odds ratio [AOR] 1.23, 95% CI 1.16-1.30), each level of maternal education with 20% lower odds (AOR 0.80, 95% CI 0.76-0.84), and urban residence with 37% higher odds (AOR 1.37, 95% CI 1.18-1.59). Household crowding was associated with higher odds (AOR 1.17 per person per room, 95% CI 1.10-1.24). The wealth-education interaction had AOR 0.95 (95% CI 0.92-0.98). In an exploratory contrast, weighted prevalence was 76.2% among children in the richest quintile with mothers having at most primary education versus 19.5% among those in the poorest quintile with mothers having higher secondary or tertiary education (prevalence ratio 3.9, 95% CI 2.6-6.0). Adjusted odds relative to Barishal ranged from 0.39 in Rajshahi to 3.29 in Dhaka. Conclusions: In this cross-sectional survey, elevated blood lead was more prevalent among wealthier and urban households and among children of less educated mothers, with large geographic variation. Lead prevention and source-identification efforts should therefore not be restricted to poor communities; prevalence remained high even in the poorest quintile. Interpretation is limited by substantial missing blood lead results and coding uncertainty.

The emergence of a dominant poultry-associated strain of Campylobacter jejuni in New Zealand coincided with a multi-year epidemic of human campylobacteriosis. This was characterised by an increase in cases to 2006, when one of the highest national case-rates in the world was recorded, followed by a rapid decline attributed to interventions in the poultry industry. The strain belonged to an internationally rare multilocus sequence type, ST474 - a member of Clonal Complex (CC) 48 - that was highly prevalent in both poultry and human cases in New Zealand but was also identified in other samples. ST474 isolates from humans, animal reservoirs and environmental water samples were collected between 2005 and 2019 and whole genome sequenced (N=443). Isolates from a 2018/9 case-control study of campylobacteriosis in New Zealand were included for genomic comparisons with other sequence types and CCs. This presented an opportunity to examine the genomic epidemiology of a single, relatively recently emerged lineage of C. jejuni, and improve our understanding of drivers of emergence and persistence in a relatively isolated ecosystem. Six subpopulations (clades) of ST474 were identified and these varied in terms of their host association, persistence, patterns of homologous recombination, and complement of mobile genetic elements, including plasmids and chromosomally integrated elements. Clade E was associated with a single poultry supplier in the initial epidemic phase and accounted for 34.5% of human cases. Clade F emerged from a declining Clade E after the peak in human cases and was also associated with poultry. The emergence of Clade F was accompanied by the loss of integrated element CJIE5 and the acquisition of multiple blocks of recombination, likely from diverse ancestral C. jejuni lineages, and the loss of the methionine biosynthesis operon metAB. In contrast, Clades A-D were detected at low frequencies in human cases over the 14-year period of surveillance and were associated with multiple hosts. This longitudinal study sheds light on the evolutionary processes that result in strain emergence and differentiation, highlighting the role of horizontal gene transfer in the evolution and adaptation of this pathogen to new niches, and the subsequent impact on public health.