International Journal for Parasitology: Drugs and Drug Resistance

Short-chain dehydrogenases/reductases (SDRs) constitute a large enzyme superfamily involved in endogenous metabolism and xenobiotic biotransformation. In the parasitic nematode Haemonchus contortus, SDRs may catalyze the carbonyl reduction of a benzimidazole anthelmintic flubendazole (FLU), whose increased reduction is associated with FLU resistance. This study thus investigated the constitutive expression of SDRs and their inducibility by FLU in drug-susceptible and benzimidazole-resistant strains of H. contortus. The expression of 23 sdr genes was analyzed by quantitative PCR, while targeted proteomic assays enabled the quantification of 15 SDR proteins. In adult nematodes, pronounced sex-dependent differences were detected at both transcript and protein levels. Resistance-associated alterations were less pronounced and were observed predominantly in males, with SDR9, SDR12, SDR15, and SDR20 displaying increased protein abundances in the resistant strain. Exposure to FLU induced only minimal transcriptional responses in juvenile stages, whereas adult nematodes exhibited marked sex- and strain-specific responses in the expression of SDRs. The strongest transcriptional effects were detected in resistant males, while significant protein-level changes following FLU treatment were observed exclusively in adults of the drug-susceptible strain. Notably, SDR9 and SDR20 combined resistance-associated expression patterns with responsiveness to FLU exposure. Taking together, the first targeted proteomic characterization of SDRs in H. contortus revealed several SDR isozymes with constitutive overexpression in resistant nematodes and/or inducibility by FLU, suggesting a potential role in adaptation to anthelmintic exposure.

Drug repositioning has emerged as an attractive strategy to accelerate the development of new antimalarial therapies, particularly by evaluating compounds already used against pathologies co-endemic with malaria. This approach offers the advantage of leveraging existing pharmacokinetic, toxicological, and safety data, thereby potentially shortening the drug development pipeline. However, transposing a compound from its original therapeutic indication to an antimalarial use is far from straightforward: differences in target biology, parasite stage specificity, pharmacodynamic requirements, and host-parasite interactions can result in a loss of efficacy despite promising in vitro or structural rationale. Rigorous in vivo validation therefore remains indispensable before any repositioning hypothesis can be considered translationally relevant. In this context, we evaluated the blood-stage antimalarial activity of triclabendazole, an antihelminthic drug used against co-endemic fascioliasis, together with its metabolite triclabendazole sulfoxide, and sutezolide, an oxazolidinone antibiotic, in a murine model of Plasmodium berghei ANKA infection following oral administration. None of the three compounds demonstrated significant antimalarial activity under these experimental conditions, contradicting a previously published repositioning hypothesis. Beyond these specific findings, our study is deliberately framed within the 3Rs principles (Replacement, Reduction, Refinement) governing animal experimentation. We argue that publishing negative in vivo results is not only scientifically legitimate but ethically necessary: sharing such data allows research teams working on similar preclinical models to build on existing knowledge, avoid unnecessary experimental duplication, and ultimately reduce the number of animal procedures performed across the field. We advocate for wider dissemination of negative outcomes in antimalarial drug repositioning research as a concrete contribution to more responsible and efficient use of animal models in preclinical pharmacology. Graphical Abstract

Mass drug administration (MDA) using Praziquantel is central to efforts to eliminate Schistosomiasis. However, regions which respond poorly to MDA ("persistent hotspots") have been reported in many regions of Africa, including in Western Kenya. One possible explanation for persistent hotspots is that these areas contain PZQ resistant schistosome parasites. Recent studies have shown that Sm.TRPMPZQ gene is the molecular target for PZQ in schistosome parasites and that mutations in this gene can result in PZQ resistance. This study characterized mutations within Sm.TRPMPZQ in 23,420 miracidia collected from both hotspot and non-hotspot villages in Siaya County, western Kenya. We collected triplicate pools of 780.67 (SD {+/-} 183.47) miracidia from 135 people in five hotspot villages, where S. mansoni prevalence remains high despite over 5 annual treatments, and from 62 people from 5 non-hotspots villages where annual treatment resulted in reduction in prevalence. We extracted DNA from each miracidia pool, amplified 15 amplicons covering 1,695bp of the Sm.TRPMPZQtransmembrane domain and sequenced these to high read depth (21,110x) using a Miseq at KEMRI-CGHR. We identified five high confidence (frequency [≥] 0.01) Sm.TRPMPZQ variants. These included four synonymous changes and a non-synonymous variant (p.L1476I). p.L1476I is found at similar frequency in non-hotspot (0.040 {+/-} 0.006) and hotspot villages (0.044 {+/-} 0.0050) (Mann Whitney U=18, p= 0.31) and does not impact PZQ-response in Ca2+ reporter assays. Our studies show that resistance variants in Sm.TRPMPZQ are rare or non-existent in the locations studied and do not explain the existence of hotspots in this region.

Ivermectin is an important broad-spectrum anthelmintic used to treat nematode parasites including gastro-intestinal infections of humans and animals. The mode of action for Ivermectin is understood to involve activation of inhibitory glutamate-gated chloride channels (GluCls). Ivermectin has also been reported to inhibit the release of extracellular vesicles (EVs). We found that EVs are released from the whole intestine of the gastro-intestinal parasite, Ascaris suum. Proteomic analysis identified 1,574 proteins within these intestinal EVs, including 96 nematode proteins with putative immune-associated functions based on homology to proteins involved in host immune processes and 130 proteins with predicted digestive functions. Comparative analysis following ivermectin exposure revealed 38 differentially abundant proteins that included the putative immune-related proteins: transthyretin-like proteins, a small heat-shock antigen, a phospholipase A2, and the NF-{kappa}B subunit p105. Thus, ivermectin modulated the potential immune-related cargo of intestinal EVs. The ivermectin inhibition of intestinal EV release was concentration-dependent with an IC50 of 64 nM. We also identified the expression of GluCl subunit receptor genes in the Ascaris intestine. The potent inhibitory effect of ivermectin on the release of these EVs from the nematode intestine and the expression of GluCl channel subunits sheds further light on the site and mechanisms of action of this important anthelmintic.

BackgroundResistance of the arbovirus vector Aedes albopictus to pyrethroid insecticides is an emerging threat to vector control programs in Europe. Three knock-down resistance (Kdr) mutations affecting the voltage-gated sodium channels targeted by pyrethroids are known to confer resistance: V1016G, I1532T and F1534C. As these Kdr mutations are actively circulating in Europe, their monitoring is crucial for resistance surveillance programs. However, current Kdr genotyping methods are labor-intensive and costly, limiting their applicability for large-scale high-throughput surveillance. MethodologyNovel digital droplet PCR (ddPCR) TaqMan assays were developed, allowing the quantification of these Kdr mutations from pooled mosquito samples from field populations. The specificity of these assays was validated by using mosquitoes of known genotypes together with synthetic DNA constructs carrying haplotype combinations previously unseen in the field. The assays accuracy was assessed by comparing Kdr frequencies measured from pooled mosquitoes to those derived from individual genotypes. These assays were then used in a pilot surveillance study in mainland France, integrating deltamethrin bioassays, pooled Kdr mutation tracking and vector control interventions data. FindingsThe developed ddPCR assays demonstrated high accuracy and specificity, with matching Kdr mutation frequencies between pooled samples and individual genotyping. The pilot surveillance study confirmed the low prevalence of Kdr V1016G and I1532T mutations in most French populations, though some populations exhibited a moderate decrease in susceptibility to deltamethrin. Deltamethrin spraying intensity was weakly correlated with Kdr I1532T mutation frequency while no correlation was observed with deltamethrin susceptibility, suggesting that insecticide selective pressure from curative vector control activities is at most a minor driver of resistance. ConclusionThese novel ddPCR assays provide a simple, cost-effective and high-throughput method for quantifying the frequency of Kdr mutations in Ae. albopictus populations. Their implementation in routine country-wide surveillance programs will enhance the detection of emerging resistance, and inform vector control strategies, preventing arboviral disease transmission. Author summaryAedes albopictus, the Asian tiger mosquito, is an emerging global threat due to its ability to transmit the dengue, chikungunya and Zika viruses among others. Recurrent use of insecticides to prevent infections selects resistant mosquitoes. Kdr (knock-down resistance) mutations confer resistance to pyrethroid insecticides, like deltamethrin. In order to track the arrival of these mutations in a population, individual PCR tests are routinely used, which is very inefficient and costly. The digital droplet PCR tests presented in this study can instead be performed on pools of mosquitoes from the field, greatly increasing the output while reducing the costs. This makes them ideal for use in the surveillance of these mutations in field populations. We first confirmed that the tests are as efficient in pools as they are on single mosquitoes, then we applied these tests in a pilot study on French field mosquitoes to demonstrate their applicability for use in surveillance. Finally, we explored the link between deltamethrin sprayings, bioassay mortality and Kdr mutations frequency, which is non-existent. This means the current management of mosquito populations via insecticide use is sensible. We believe these tests have a place in streamlining the future surveillance programs of these mutations in the field.

BackgroundThe ecological dynamics between Trypanosoma parasites and their wild mammalian hosts, such as bats and armadillos, are complex. Recent 18S rRNA metabarcoding studies have reported extraordinary levels of hidden parasite diversity and frequent multi-lineage coinfections within individual wild hosts. However, the boundary between genuine biological coinfection and methodological artifact remains difficult to establish. Based on Gauses principle of competitive exclusion, the mammalian bloodstream represents a highly constrained niche where stable coexistence of identical ecological competitors is theoretically rare. We hypothesize that previously reported hyper-diverse Trypanosoma coinfections are largely bioinformatic artifacts, and that true intra-host dynamics instead favor single-lineage dominance. MethodsTo test this hypothesis, we sequenced samples from 27 wild armadillos (Dasypus novemcinctus) and 26 bats from Ecuador. The 18S rRNA gene was amplified via nested PCR and sequenced using an Oxford Nanopore Technologies MinION platform. We developed a progressively stringent bioinformatics pipeline to evaluate coinfection hypotheses. Raw reads were processed through three alignment scenarios: Lenient, Moderate, and Conservative. These scenarios modulate sequence identity, mapping quality (MAPQ), and coverage thresholds to effectively isolate true biological signals from alignment ambiguity. ResultsUnder lenient alignment parameters, the resulting profiles mirrored previous literature, exhibiting massive apparent intra-host multi-lineage diversity. However, as bioinformatic stringency increased to conservative thresholds ([≥] 98% sequence identity, [≥] 99% coverage, and MAPQ [≥] 30), artifactual pseudo-coinfections collapsed. The highly restricted dataset demonstrated overwhelming single-lineage dominance, validating only three active mixed infections out of the retained samples. Furthermore, our rigorous pipeline isolated rare but genuine biological signals, including the detection of Trypanosoma cruzi marinkellei--historically considered a bat-restricted subgenus--within the terrestrial armadillo cohort. We also confirmed the presence of T. cruzi DTU III (TcIII) in Ecuadorian armadillos, representing a significant biogeographical record for the region. ConclusionsOnce methodological noise is computationally stripped away, active multi-strain Trypanosoma coinfections in the host bloodstream are revealed to be ecologically anomalous. Our findings strongly support the principle of competitive exclusion, suggesting established lineages actively suppress competitors. While Oxford Nanopore sequencing offers necessary resolution for wildlife parasitology, fine-tuning algorithmic parameters is critical to accurately represent host-parasite networks and prevent the artificial inflation of intra-host diversity metrics. Author summaryPrevious studies using DNA metabarcoding have reported that wild mammals, such as bats, frequently harbor complex communities of multiple Trypanosoma parasite lineages simultaneously. However, ecological principles suggest that identical competitors struggle to coexist stably within a constrained environment like the host bloodstream. To investigate whether these reported high coinfection rates reflect true biology or methodological artifacts, we sequenced the 18S rRNA gene of Trypanosoma from 26 bats and 27 armadillos in Ecuador. We processed the sequencing data through computational pipelines with progressively stricter filtering parameters. We observed that under lenient filtering, animals appeared to have highly diverse, mixed infections. Conversely, when strict parameters were applied to remove potential analytical noise, the artificial complexity collapsed, revealing that the vast majority of hosts were dominated by a single parasite lineage. We confirmed only three active mixed infections in our highly restricted dataset. Our findings indicate that active multi-strain Trypanosoma coinfections are rare, aligning with the principle of competitive exclusion. These results highlight the necessity of applying rigorous bioinformatic filters to accurately evaluate host-parasite interactions and avoid overestimating diversity metrics.

Tick-borne pathogen (TBP) surveillance strategies that rely exclusively on targeted methods like PCR (PCR) or immunoblots do not benefit from strain-level sequence variation. Bacterial 16S rRNA metabarcoding offers more agnostic detection but is constrained in I. scapularis by the dominance of a maternally inherited endosymbiont, Rickettsia buchneri. Here we report the design and evaluation of three R. buchneri-specific blocking primers to suppress endosymbiont amplification during full-length 16S rRNA library preparation. Of these, primer 18F-Rb-C3 reduced R. buchneri relative abundance approximately 32-fold. We applied 18F-Rb-C3 with V4-16S metabarcode sequencing on 67 ticks collected from farm animals in Eastern Ontario and compared Borrelia species detection against qPCR. The V4-16S rRNA metabarcoding identified Borrelia species in 21 samples, whereas qPCR detected Borrelia in 24 samples and 11 samples were detected by both methods. Additionally, metabarcoding detected Anaplasma phagocytophilum in 12 samples, including seven samples coinfected with Borrelia, in the same assay. Variation relevant to strain surveillance was also detected by sequencing, though V4-16S was not sufficient to resolve closely related Borrelia genospecies or A. phagocytophilum variants. These findings demonstrate that blocking primer 18F-Rb-C3 enhances sensitivity of amplicon sequencing to the level of qPCR while also detecting other pathogens and sequence variants in a single assay.

BackgroundMalaria caused by Plasmodium knowlesi and lymphatic filariasis caused by Brugia malayi are mosquito-borne infections with non-human primates as reservoirs. P. knowlesi has emerged as a significant cause of human malaria in Southeast Asia over the past two decades. Belitung district, Indonesia, was until recently assumed to have eliminated B. malayi until infections were detected in humans and long-tailed macaques. To investigate whether the local reservoir of B. malayi is also a reservoir for malaria we screened macaques from 4 areas in Belitung for malaria parasites. Methods and findingsBlood samples from 163 long-tailed macaques (Macaca fascicularis) that had been tested for B. malayi were examined by quantitative PCR assays specific for Plasmodium spp., P. knowlesi, P. inui, P. coatneyi and P. cynomolgi. A total of 130 macaques (79.8%) tested positive in the pan-Plasmodium qPCR assay. Plasmodium inui was most prevalent (41.7%), followed by P. knowlesi (38.7%), P. coatneyi (24.5%) and P. cynomolgi (13.5%). Multiple species infections, with 2-3 Plasmodium species were detected in 37% of macaques. Notably, 20 (91%) of 22 B. malayi-positive macaques were co-infected with at least one Plasmodium species. We sequenced the complete mitochondrion from 9 samples diagnosed by qPCR as mono-infections. Phylogenetic analysis confirmed 7 as P. knowlesi, and the other two as P. inui and P. coatneyi. Phylogenetic and pairwise analysis revealed that P. knowlesi isolates from Belitung were closely related to each other and to P. knowlesi from humans and monkeys from Thailand, Malaysia and Indonesia. ConclusionsMolecular evidence shows high prevalence of zoonotic malaria parasites in macaques from Belitung, emphasizing the risk of human transmission. Increased surveillance, improved diagnostics, and targeted interventions are needed to prevent zoonotic spillover of P. knowlesi as it has been observed for B. malayi in Belitung. Author summaryWe examined macaques for Plasmodium parasites in Belitung Island, Indonesia, a region classified as free of locally transmitted human malaria. Plasmodium knowlesi is a monkey parasite that commonly infects humans and has emerged as a concern in Southwest Asia over the last 20 years. In Belitung, macaques are infected with Brugia malayi, a filarial nematode, that causes lymphatic filariasis in humans. Blood samples from 163 macaques were screened for Plasmodium DNA and 80% carried malaria parasites. Plasmodium inui was most common, followed by P. knowlesi, P. coatneyi, and P. cynomolgi. Many macaques were infected with multiple parasites simultaneously, but no host was infected with all four Plasmodium species. Ninety one percent of B. malayi-positive macaques were co-infected with malaria parasites, including P. knowlesi, indicating multi-parasite infections that could potentially spread to humans. Analysis of the mitochondrial genome of 7 P. knowlesi isolates from Belitung showed that they were most similar to each other and both human and monkey samples from Malaysia, Thailand and Indonesia. The study highlights the need for enhanced malaria monitoring and prevention, given the complex epidemiology of co-infecting parasites and risk to humans and animals.

Prolonged use of the few insecticide classes available for long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) has driven widespread physiological resistance of malaria vector mosquitoes to this limited arsenal of active ingredients. However, recent innovations like next-generation LLINs (NG-LLINs) containing two complementary insecticides and new insecticide classes for IRS offer new opportunities for pre-emptive resistance management by deploying more diversified actives as mixtures, combinations, rotations or mosaics. Here a deterministic model of mosquito foraging behaviour was formulated to predict the probabilities of deterrence, mortality or successful feeding across repeated feeding attempts in scenarios with different combinations of NG-LLINs and/or IRS micro-mosaics with varying levels of insecticide diversification between neighbouring houses. Final fates were classified based on whether or not the mosquito eventually died or successfully fed, and whether the latter occurred indoors or outdoors after exposure to zero, one or several IRS insecticides. The primary outcome was the probability that a single F mosquito carrying a novel resistance trait to a new IRS insecticide successfully feeds, survives and reproduces, thereby establishing those traits within the population. The secondary outcome was the selection coefficient governing the spread of such novel resistance traits from the F generation onwards. For highly anthropophagic and endophagic vectors like Anopheles funestus, combining NG-LLINs with IRS micro-mosaics using two insecticides may reduce emergence rates for novel resistance traits against IRS insecticides by approximately 2 to 2.5-fold, mainly through direct killing by NG-LLINs, although exposure to both IRS actives when forced to visit multiple houses also contributes to a lesser extent. However, such resistance management benefits are fundamentally constrained by outdoor feeding behaviours that limit or completely prevent indoor insecticide exposure. Increasing IRS micro-mosaic insecticide diversity beyond two actives is unlikely to further dampen resistance emergence rates because few mosquitoes survive long enough without feeding to encounter several IRS treatments. Once a resistance trait becomes established in the vector population, selection coefficients remain consistently high enough to force the spread of those traits, regardless of intervention combination. For more exophagic, zoophagic vectors like An. arabiensis, NG-LLINs plus IRS micro-mosaics are not expected to provide any meaningful resistance management benefit because frequent outdoor feeding, often on animals, allows them to largely avoid insecticide exposure altogether. Exclusively indoor-focused vector control strategies may not satisfactorily slow insecticide resistance emergence and spread, so new outdoor protection measures that close these coverage gaps with complementary insecticides will be needed.

Obligate endosymbionts relying on transovarial transmission must coordinate with host reproduction, yet the regulatory mechanisms remain poorly understood. Here we show that the vitellogenesis pathway of the tick Ixodes scapularis regulates the transcriptional state of its endosymbiont Rickettsia buchneri (Rb), separately from its abundance. In males, Rb DNA remained detectable, but bacterial transcription was strongly reduced across all examined genes, with markedly lower RNA/DNA ratios. In females, Rb was restricted to ovarian tissues (developing oocytes and interstitial cells), with no detection in salivary glands or midgut by TEM, FISH, or PCR. After blood feeding, Rb density within size-matched early-stage oocytes was significantly reduced. We further characterized two gene families mediating vitellogenesis: vitellogenin synthesis genes (Vgs, n = 20) and vitellogenin receptor genes (Vgr, n = 15). Vgs proteins showed conserved domain organization, whereas Vgr paralogs showed greater structural diversification. RNAi silencing of Vgs20 or Vgr12 altered Rb transcriptional profiles in both tick cells and ticks, although changes in bacterial load were not consistent between the two systems. Antibiotic depletion of Rb increased expression of both host genes. Together, these findings show that tick vitellogenesis pathways contribute to Rb regulation during reproduction and identify the I. scapularis-Rb system as a useful model for studying host control of obligate endosymbionts. IMPORTANCEMaternally inherited bacterial symbionts are commonly characterized by bacterial abundance. This study shows that bacterial abundance alone does not necessarily reflect symbiont functional state. In the blacklegged tick, the inherited symbiont Rickettsia buchneri persists in males but exhibits little transcriptional activity. In females, the host reproductive pathway determines whether the symbiont is active: silencing one component of this pathway changed bacterial gene expression without changing bacterial abundance. Hosts therefore regulate not only the abundance of inherited symbionts, but also their functional state. The same bacterial abundance can correspond to very different functional states. Understanding inherited symbioses therefore requires considering bacterial function alongside bacterial abundance.

The majority of eukaryotes encode some intron-containing pre-tRNAs. Splicing of these pre-tRNAs requires a dedicated tRNA splicing machinery. The fungal and trypanosome tRNA ligase, Trl1, and the human RNA ligase, RTCB, catalyze an essential step in tRNA splicing. However, Trl1 and RTCB are nonhomologous and biochemically and structurally distinct from each other. Therefore, Trl1 could serve as a broad-spectrum antifungal and anti-trypanosomal target. While the functions and requirements of the three catalytic Trl1 domains have been extensively characterized in the model yeast Saccharomyces cerevisiae, the roles of Trl1 orthologs in pathogenic fungi remain unexplored. Here, we validate Trl1 as one of the few promising novel drug targets for the development of antifungal therapeutics. Functional analyses of the three Trl1 domains show that only the "sealing" domain is essential for growth and viability in Candida albicans and Aspergillus fumigatus. In contrast, the two "healing" domains are dispensable in these pathogenic fungi, suggesting the presence of redundant healing enzymes, unlike in S. cerevisiae. These findings indicate that only the sealing domain is a good drug target. Our analysis also shows that the Mucor enzyme, which only contains the sealing domain, is essential. Using a Caenorhabditis elegans infection model of C. albicans, we further demonstrated that inhibiting Trl1 expression protects worms during an established infection. In contrast to these fungal pathogens, we show that all three domains of Trl1 are essential in Trypanosoma brucei. Our findings show that the essentiality of the Trl1 sealing is conserved in important human pathogens and provides an impetus for future drug development. SIGNIFICANCEFungal infections are an important cause of human disease and death and difficult to treat and there is an urgent need to develop additional drugs. Based on studies in yeast, one promising target for antifungal drug development is the tRNA splicing pathway. Human tRNA ligase is fundamentally distinct from the fungal one. To investigate the possibility of developing tRNA ligase-targeting drugs, we investigated the function of the catalytic domains of fungal tRNA ligase in different fungal pathogens. Surprisingly, only the first domain is essential in these pathogens and yeast is not a good model fungus. In contrast, all three domains of Trypanosome tRNA ligase are essential. These findings provide an impetus for future drug development.

Background Visceral leishmaniasis (VL), caused by Leishmania donovani (LD), is increasingly associated with the insect-restricted trypanosomatid Leptomonas seymouri (LS), which harbours the RNA virus Leptomonas seymouri narna-like virus 1 (Lepsey NLV1). Our recent study demonstrated that LS co-infection with LD enhances survival of murine (RAW 264.7) and mammalian (THP-1) macrophages and augments LD and LS persistence compared to LD or LS mono-infection in vitro. However, the in vivo fate of LS and its viral endosymbiont during chronic VL remains poorly understood. This study investigated the long-term dynamics of parasite persistence, tissue dissemination and viral maintenance during experimental mono- and co-infection. Methods and Findings BALB/c mice were infected with LD, Lepsey NLV1-positive LS, virus-positive AG83 isolate, or LD: LS co-infections (2:1, 5:1 and 10:1) and monitored for up to seven months. Parasite burden, species composition and viral load were quantified using ITS1 qPCR, densitometry, nested RT-PCR and qRT-PCR, supported by microscopy and immunofluorescence assay. LS established productive visceral infection independently, with parasite burdens exceeding the infecting inoculum, indicating active in vivo replication. Co-infection, particularly at a 10:1 LD: LS ratio, promoted the greatest long-term parasite persistence in visceral organs. Temporal analysis revealed early predominance of LS followed by progressive recovery of LD during chronic infection. Lepsey NLV1 was detected in visceral organs and blood for at least up to five months. Morphological analyses demonstrated intracellular LS amastigote-like forms in murine macrophages and transformation of splenic parasites into promastigotes, confirming parasite viability within mammalian tissues. Conclusions These findings demonstrate sustained visceral persistence of Lepsey NLV1-positive LS in mice and identify dynamic host-parasite-virus interactions that reshape infection during chronic co-infection. This work challenges the conventional view of VL as a strictly mono-parasitic disease and highlights a previously underappreciated tripartite interaction with potential implications of LS and its virus endosymbiont for VL pathogenesis.

Background On the Zanzibar islands, Tanzania, mass drug administration (MDA) with praziquantel against Schistosoma haematobium infections has been implemented regularly since the early 2000s. Elimination of schistosomiasis as a public health problem has been achieved in most areas, with the goal of interruption of transmission. The RESIST project investigates the extent to which MDA-driven selection for praziquantel resistance is occurring and contributing to persistent transmission hotspots. Methodology As part of RESIST, the efficacy of praziquantel treatment was assessed in two schools on Pemba between October 2024 and March 2025. Longitudinal parasitological surveys were conducted before and two weeks after school-based MDA with praziquantel (40 mg/kg). Up to six urine samples per study participant were collected on different days pre- and post-MDA and examined for S. haematobium eggs by urine filtration microscopy. In a per-protocol analysis, drug efficacy was categorised as adequate, inconclusive, or reduced, based on hypothesis testing. A generalized linear mixed model was used to assess the association between pre-MDA infection intensity and drug efficacy at the individual level. Principal findings Pre-MDA, S. haematobium prevalence was 14.3% (62/434) in School 1 and 37.8% (233/617) in School 2. Post-MDA prevalence was 0.5% (2/434) and 9.6% (59/617), respectively. Egg reduction rates were 99.8% (90% confidence interval (CI): 99.2-100%) in School 1 and 94.8% (90% CI: 88.6-98.6%) in School 2, which were classified as adequate and inconclusive, respectively. In School 2, drug efficacy at the individual level was negatively associated with pre-MDA infection intensity. Conclusion/significance The efficacy of praziquantel on Pemba remains higher than the 90% threshold for optimal drug efficacy set by the World Health Organization. While the inconclusive efficacy results for School 2 can at least partially be explained by the variation in the participants pre-MDA infection intensities, further investigations are warranted to account for the disparity in praziquantel efficacy on Pemba. Trial registration: ISRCTN, ISRCTN59331501. Registered 24 October 2024, https://www.isrctn.com/ISRCTN59331501.

Antimicrobial resistance (AMR) continues to pose a major public health threat across Africa, yet available surveillance data remain highly fragmented across private, public, and academic sources. This study analysed continent-wide AMR surveillance patterns by integrating datasets from multiple independent repositories and visualising them through interactive Geographic Information System (GIS) dashboards. The objective was to generate an integrated evidence base that highlights resistance patterns, surveillance disparities, reporting gaps, and opportunities for improved AMR monitoring across Africa. Data were compiled from major private AMR surveillance programmes including Pfizers ATLAS, GSKs SOAR, Johnson & Johnsons DREAM, Venatorxs GEARS, and Shionogis SIDERO-WT covering the period 2004-2022. Public datasets from the WHO Global Antimicrobial Resistance and Use Surveillance System (GLASS) and the Fleming Funds Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) were incorporated for 2016-2020, together with published AMR studies conducted between 2010 and 2024. Datasets were harmonised to align key variables including bacterial species, isolate identifiers, antibiotics tested, surveillance source, geographical location, and categorical AMR outcomes while preserving the original structure of the contributing datasets. Interactive dashboards were developed using R Shiny to support spatial visualisation and dynamic analytical exploration of resistance patterns, temporal trends, species distribution, and country-level surveillance coverage. Descriptive analyses including means, standard deviations, medians, interquartile ranges (IQR), frequency distributions, Gini coefficients, Shannon entropy, Herfindahl-Hirschman Index (HHI), and Lorenz curves were used to assess inequality and concentration in country-level AMR reporting across surveillance systems. The integrated analyses revealed substantial heterogeneity and concentration in AMR surveillance reporting across Africa, reflecting major differences in surveillance intensity, laboratory infrastructure, reporting systems, and diagnostic capacity across countries. Private datasets demonstrated broader antibiotic panels and longer temporal coverage, whereas public datasets exhibited substantial gaps in country participation and pathogen-antibiotic representation. Published AMR studies additionally highlighted important surveillance information absent from formal surveillance databases. By integrating multiple streams of AMR evidence, this study demonstrates the value of interactive GIS dashboards as exploratory and updateable surveillance-support tools for improving visibility of fragmented AMR datasets, identifying surveillance disparities, supporting geographically informed interpretation of resistance trends, and strengthening future AMR surveillance harmonisation efforts across Africa.

Accurately determining the mating status of the agricultural fruit fly pest Ceratitis capitata, commonly known as Medfly, is essential for timely and effective eradication efforts. To overcome the limitations of subjective DAPI-based staining assessments of females captured in Jackson dry traps and Multilure liquid traps, we developed a multi-tier molecular diagnostic method that unequivocally detects mating status using DNA probes targeting the male-specific Y114 locus on the Y-chromosome of the species. Our protocol integrates morphological evaluation with increasingly sensitive molecular assays through the following steps: 1) A preliminary quality assessment of the specimens physical condition, DNA preservation, and mating status using conventional PCR followed by agarose electrophoresis (cPCR); 2) Quantification and real-time detection of sperm presence via quantitative PCR (qPCR); and 3) Detection of trace sperm amounts through droplet digital PCR (ddPCR). This PCR-based framework is designed for samples collected in the field, enabling accurate analysis of specimens exposed to adverse environmental conditions and varying levels of preservation after 2- and 3-weeks weathering times in traps. It allows quantitative determination of mating status even when sperm concentrations are extremely low, such as during transient copulation, and achieves detection limits down to approximately 14 spermatozoa in a mated female. By accounting for variable specimen quality and the performance characteristics of each molecular platform, this tiered approach ensures highly sensitive and unequivocal detection of mated females. The methodology can be used to assist eradication efforts across the C. capitata geographic range through the timely detection of mated females, halting their expansion and establishment into novel regions reducing control and eradication costs.

Rising global temperatures are reshaping species interactions and the ecological conditions governing vector-borne disease transmission. Although previous studies show that West Nile virus (WNV) infection alters mosquito longevity, fecundity, blood-feeding behavior, and the thermal performance of these traits, trait-based R models largely rely on data from uninfected mosquitoes, implicitly assuming homogeneous vector populations. This overlooks infection-induced trait variation that may influence transmission dynamics. Here, we examined how temperature, infection status, and viral strain interact to shape transmission potential for WNV in Culex pipiens. Life-history traits of WNV-exposed and unexposed mosquitoes were measured across constant temperatures ranging from 10{degrees}C to 33{degrees}C, as well as under a fluctuating temperature regime of 25{degrees}C {+/-} 5{degrees}C. These data were used to generate thermal performance curves and estimate temperature-dependent relative R across treatments. Infection altered the thermal performance of mosquito life-history traits, vector competence, and overall transmission potential. We also found evidence for a bimodal effect of temperature on vector competence, potentially driven by tradeoffs between viral replication and mosquito immune responses. Incorporating infection-sensitive traits into relative R calculations reduced estimated transmission intensity across much of the thermal range without shifting thermal optima or limits, suggesting that current models may overestimate transmission.

BackgroundOutbreaks of fluconazole-resistant Candida parapsilosis have recently emerged worldwide. In Spain, this phenomenon has been reported since 2020, mainly involving isolates from different clones harbouring the Y132F mutation at Erg11. MethodsWe analysed the expansion of fluconazole resistant C. parapsilosis strains within the national antifungal resistance surveillance program. Genetic clustering and relationships were assessed using microsatellite typing and whole genome sequencing. FindingsWe identified the expansion of three distinct clones carrying the Y132F mutation. Additionally, there was an increase in strains harbouring the G458S mutation, most of which belonged to a clonal complex, although other less prevalent clones were also detected. G458S isolates showed higher resistance to azoles than Y132F strains, particularly to voriconazole and isavuconazole. This increased resistance was associated with mutations in the Tac1 transcriptional regulator and duplication of a chromosomal region containing Tac1 and Erg11. One G458S isolate without mutation at Tac1 exhibited lower MIC values. Furthermore, two isolates carried the K143R mutation, and a distinct group of resistant strains without detectable ERG11 mutations was also identified. Resistant cases were detected across 31 hospitals in 12 autonomous regions. InterpretationOur findings indicate a concerning nationwide expansion of antifungal-resistant C. parapsilosis in Spain, involving multiple resistance mechanisms and clonal lineages, with implications for antifungal treatment and infection control strategies.

Ticks are obligate hematophagous arthropods and feed exclusively on blood. As blood is nutrient-poor, ticks rely on bacterial endosymbionts to synthesise nutrients, yet the diversity and functional roles of these symbionts in Australian ticks remain largely uncharacterised. This is critical to address as these ticks are of high medical importance in Australia. In this study, shotgun metagenomic sequencing was performed on Bothriocroton concolor, Bothriocroton hydrosauri, Haemaphysalis longicornis and Ixodes holocyclus, enabling the recovery of six complete or partial metagenome-assembled genomes (MAGs). These comprised Coxiella-like endosymbionts (CLE), a facultative Rickettsia symbiont, and two Midichloria mitochondrii strains (Ixholo1 and Ixholo2). Functional annotation of these taxon-specific symbionts revealed the absence of virulence factors and the presence of B-vitamin and/or heme biosynthesis genes, indicative of nutritional mutualism, which is essential for tick hematophagy. The CLEs additionally harbour genes of the shikimate pathway, which modulate blood feeding in ticks by regulating serotonin biosynthesis. Furthermore, functional annotation and pangenomic analysis of Midichloria spp. found evidence that the genus may encompass multiple species, as well as the retention of genes potentially associated with an intramitochondrial lifestyle in M. mitochondrii Ixholo2. Tick microbiomes are dominated by non-pathogenic microorganisms, which are often overshadowed by pathogens. These include the endosymbionts, which can influence host biology and pathogen transmission, and are fundamental for the development of diagnostic tools and taxon-specific tick biocontrols.

1. Most species are neither discovered nor named, let alone included in analyses that require biological information such as trait measurements, images, ecological information and genome-scale data. Specimen-level DNA barcoding can help discover many of these species rapidly, but everything beyond discovery requires vouchers organized into putative species. Yet, existing barcoding workflows lack efficient techniques for voucher recovery, creating a post-barcoding bottleneck that limits the ability of converting barcoded specimens into biological knowledge. 2. Here we present a low-cost, open-source workflow consisting of two stages. The first safeguards barcoded specimens by separating them from DNA extracts and transferring them from microplates into ethanol-filled glass vials. The second converts the resulting voucher collection into a searchable physical resource by linking barcode-derived molecular Operational Taxonomic Unit (mOTU) assignments to vial positions and enabling specimens to be sorted into putative species either manually or automatically using a newly developed open-access robot (SORTER). 3. We evaluated the workflow using 2,024 insect specimens distributed across 21 96-well plates. For the first stage, DNA separation and specimen transfer required approximately 15 minutes per plate. For the second stage, MOTUmapper generated retrieval coordinates in a few seconds, after which the 2,024 vouchers belonging to the 452 putative species could be recovered manually in 5 days or with SORTER in 5 hours. Throughout both stages, specimen identities remained linked to barcode sequences, metadata and storage positions. 4. Vouchers are the Rosetta stones of biology because they connect different kinds of data to the same specimens. By safeguarding these vouchers and making them searchable, the workflow converts barcode projects from one-time molecular surveys into reusable resources for ecological and evolutionary research.

Parasitic infection is one of the common health problems of livestock in Bangladesh. Due to the country's climate, heavy monsoon rainfall, low biosecurity in farms, and high humidity, along with presence of suitable vector organisms, gastrointestinal parasitism remains widespread in cattle and other livestock. The standard method of diagnosis is microscopic examination of fecal samples, but this depends on manual observation, which is time-consuming and can lead to human error, mainly because many parasite eggs look similar to each other and samples often contain contaminants that can be mistaken for eggs or cysts. In this study, we tried to apply the YOLOv8 deep learning model for automated detection of parasitic eggs and cysts from microscopic images of livestock fecal samples. Images of clinical cases were collected, annotated, and used to train the model in Python, with batch size 16, auto optimizer, learning rate 0.01, momentum 0.937 and weight decay 0.0005. Training was done using Google Colab, and the model was evaluated using precision, recall, F1-score, mAP50, and mAP50-95. The model achieved a precision of 56%, recall of 24%, F1-score of 33.6%, mAP50 of 33%, and mAP50-95 of 22%. The relatively low recall and F1-score indicate that the model still has considerable limitations, largely due to insufficient species-specific training data and presence of image artifacts. Underrepresentation of some parasite species, such as Trichuris spp., in the dataset also caused class imbalance, which affected the model's ability to detect these species reliably. Despite these limitations, the study indicates that YOLOv8 architecture has some potential to be used for detection of parasitic eggs and cysts from microscopic images, and that further work with larger and more balanced datasets may improve performance and applicability in veterinary diagnostics. Keywords: YOLOv8, livestock parasites, deep learning, microscopic image analysis, veterinary diagnostics, Bangladesh