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Boreal and subarctic freshwaters harbour a diversity of jumbophages.

Bacteriophages (phages) are major drivers of microbial evolution and ecology, yet their diversity and functional roles remain poorly characterized in many natural environments, such as in freshwater systems. In boreal and subarctic freshwater habitats, where bacteria are typically slow-growing and nutrient-limited, phages are predicted to have a critical role in host regulation and horizontal gene exchange. However, only a few isolates have been obtained from such environments, leaving the genetic and functional diversity of these phages largely unexplored. Here, we present a collection of 40 bacteriophages isolated from boreal lakes and rivers using a set of diverse freshwater bacterial hosts. Despite using conventional isolation methods, eight of the isolates possess genomes larger than 200 kilobases and are classified as jumbophages. All jumbophages exhibited myovirus morphology and comparatively slow infection dynamics. These jumbophages include the first known representatives infecting members of Janthinobacterium and Herbaspirillum. Comparative genomic and phylogenetic analyses show that nearly all genomes are distinct from previously described phages, indicating substantial novelty. Diverse auxiliary metabolic and anti-defence systems were identified, including putative NAD+ salvage and acyl carrier protein modules, along with predicted Anti-Thoeris and Anti-CBASS elements. The Pseudomonas-infecting jumbophage Ahti encoded homologues of all 21 core genes that define the nucleus-forming family Chimalliviridae. Additionally, Ahti displayed compartmentalization of DNA during infection, establishing it as the first freshwater nucleus-forming phage. These findings expand our understanding of the ecological, genomic, and functional diversity of phages in boreal environments and highlight the role of freshwater ecosystems as significant reservoirs of novel viral lineages.

anti-defence systems

Control of peptide chain initiation in uninfected and virus infected cells by membrane mediated events.

Initiation of protein synthesis in tissue culture cells is rapidly inhibited or blocked by addition of either DMSO, ethanol, TPCK, cytochalasin B, or sucrose to the growth medium. In contrast, these agents do not interfere with the initiation of protein synthesis in cell-free extracts to a comparable extent. These results support the hypothesis that protein synthesis in tissue culture cells can be influenced by membrane mediated events. Translation of viral mRNA in RNA virus infected cells is resistant to a number of these inhibitors of peptide chain initiation and proceeds under conditions where translation of host mRNA is almost completely suppressed. It appears that viral mRNA possesses a greater ability than host mRNA to form mRNA-ribosome initiation complexes when the overall rate of peptide chain initiation is reduced. This observation has led to a number of predictions concerning the strategy of virus directed suppression of host mRNA translation. Under optimal growth conditions protein synthesis appears to be regulated mainly, but not exclusively, by the amount of the mRNA available for translation. However, when cellular growth and/or the overall rate of peptide chain initiation is restricted, control of protein synthesis at the translational level becomes decisive with the translation of each mRNA species proceeding with its own characteristic efficiency most probably as a result of inherent differential affinities of individual mRNA species for ribosomes.

Cell Line

Transcriptome changes in circulating immune cells of critical COVID-19 patients predict a specific metabolic and epigenetic imprint.

BACKGROUND: The progression to critical COVID-19 arises predominantly from a dysregulated host immune response although the underlying regulatory mechanisms still remain partially elusive. This limits a prompt prediction of the disease progression, reduces the therapeutic options and restrains our understanding of “long COVID”. METHODS: Here, we analyzed the transcriptome of peripheral blood mononuclear cells (PBMCs) collected from COVID-19 patients experiencing different degrees of the disease (mild and critical), and control patients enrolled in the clinical trial COntAGIouS as well as independent bulk RNA-seq, single-cell RNA-seq and proteomic datasets. RESULTS: In critical COVID-19 patients, the integrative analysis of transcriptomic data revealed an altered regulatory network involving microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and coding genes that control mRNA translation-related genes, epigenetics, and metabolism. In parallel, we observed an upregulation of tRNA aminoacylation genes in critical COVID-19 patients by the analysis of either bulk or single-cell RNA-seq data from publicly available independent cohorts. Additionally, we found increased expression of coding genes enriched for the cognate amino acids (glycine, alanine, isoleucine and tyrosine), all related to protein localization, post-translational modifications, and cell metabolism in our cohort. Similar alterations in amino acid frequency were found in an independent proteomic dataset. CONCLUSIONS: Collectively, our findings indicate a broad perturbation of the gene expression landscape that characterizes the aberrant host immune response in critical COVID-19 patients and is potentially coordinated by miRNA and tRNA metabolism alterations. TRIAL REGISTRATION: COntAGIouS, NCT04327570. Registered 26 March 2020, https://clinicaltrials.gov/ct2/show/NCT04327570 .

Female

Exploring phage-host interactions in Burkholderia cepacia complex bacterium to reveal host factors and phage resistance genes using CRISPRi functional genomics and transcriptomics.

Complex interactions of bacteriophages with their bacterial hosts determine phage host range and infectivity. While phage defense systems and host factors have been identified in model bacteria, they remain challenging to predict in non-model bacteria. In this paper, we integrate functional genomics and transcriptomics to investigate phage-host interactions, revealing active phage resistance and host factor genes in Burkholderia cenocepacia K56-2. Burkholderia cepacia complex species are commonly found in soil and are opportunistic pathogens in immunocompromised patients. We studied infection of B. cenocepacia K56-2 with Bcep176, a temperate phage isolated from Burkholderia multivorans. A genome-wide dCas9 knockdown library targeting B. cenocepacia K56-2 was constructed, and a pooled infection experiment identified 63 novel genes or operons coding for candidate host factors or phage resistance genes. The activities of a subset of candidate host factor and resistance genes were validated via single-gene knockdowns. Transcriptomics of B. cenocepacia K56-2 during Bcep176 infection revealed that expression of genes coding for host factor and resistance candidates identified in this screen was significantly altered during infection by 4 h post-infection. Identifying which bacterial genes are involved in phage infection is important to understand the ecological niches of B. cenocepacia and its phages, and for designing phage therapies.IMPORTANCEBurkholderia cepacia complex bacteria are opportunistic pathogens inherently resistant to antibiotics, and phage therapy is a promising alternative treatment for chronically infected patients. Burkholderia bacteria are also ubiquitous in soil microbiomes. To develop improved phage therapies for pathogenic Burkholderia bacteria, or engineer phages for applications, such as microbiome editing, it's essential to know the bacterial host factors required by the phage to kill bacteria, as well as how the bacteria prevent phage infection. This work identified 65 genes involved in phage-host interactions in Burkholderia cenocepacia K56-2 and tracked their expression during infection. These findings establish a knowledge base to select and engineer phages infecting or transducing Burkholderia bacteria.

Bacteriophages

Magnitude of the host nutritional responses to infection.

This review describes the scope, complexity, and magnitude of host nutritional responses throughout the course of an infectious process. These responses include prominent changes in nitrogen and protein metabolism, altered rates of carbohydrate and lipid production and utilization, and changes in mineral, electrolyte, trace element, and vitamin metabolism. It is postulated that these responses develop in a relatively predictable sequence which is influenced by the adequacy of host antimicrobial defense mechanisms, the severity and duration of illness, and specific localization of an infectious process within the body. In addition to hormonal regulatory effects, the metabolic and nutritional responses of the host are also influenced by biologically active substances released when host cells participate in phagocytic activity and local inflammatory responses.

Carbohydrate Metabolism

Genetic analysis of host range mutant viruses suggests an uncoating defect in simian virus 40-resistant monkey cells.

Host range mutations that permit simian virus 40 (SV40) to grow with increased efficiency on SV40-resistant monkey cells have been positioned within the viral B/C gene by a mapping method that relies on the coupling of specific DNA fragments. Pairs of restriction endonucleases that each cleave SV40 DNA at only one site were used to generate pairs of specific DNA fragments. Corresponding pairs of fragments were purified from host range mutant and wild-type DNA and joined in known combinations to determine the location of the host range mutations. The map position of the host range mutations was confirmed by using the same technique to generate and couple genetically marked viral DNA fragments to produce the predicted double mutants. Three different double mutants were constructed that carry both host range and temperature-sensitive A mutations. The mutations in three independently isolated host range mutant viruses are located at very close, perhaps identical, sites, because no wild type viruses were produced from the cell-mediated repair of pairwise heteroduplexes between them. The location of these host range mutations suggests that their phenotype results from mutational alteration of the major capsid protein, the product of the B/C gene. In addition it was demonstrated that monkey cells can efficiently join appropriate pairs of restriction endonuclease fragments intracellularly to produce infectious genomes. That reaction has been partially characterized. The general utility of fragment coupling (in vitro and in vivo) and heteroduplex repair for constructing and analyzing multiple mutants of SV40 is discussed.

Cell Transformation, Viral

EscaPRRS-ORF5: a structure-aware evolutionary framework for prioritizing immune escape-prone variants in porcine reproductive and respiratory syndrome virus.

MOTIVATION: Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is a rapidly evolving RNA virus causing significant economic losses, posing a formidable challenge to vaccine efficacy due to its high mutational variability and immune escape. As the viral mutants evolve, their ability to sustain in population is driven by a range of host biology factors such as receptor binding, fusion, and uncoating. Existing tools that predict viral fitness and escape propensities rely heavily on extensive, up-to-date sequence data and lack integration of biochemical host interactions, limiting mechanistic understanding of the mutational landscape. We introduce Esca, a sequence-only toolchain framework that identifies immune escape-prone residues by exhaustively scanning each residue position for all amino acid substitutions using a Bayesian Variational Autoencoder (VAE) trained on protein language model embeddings. We demonstrate Esca on the GP5(ORF5) glycoprotein of PRRSV (EscaPRRS-ORF5) by training on ESM-2 embeddings of 32 146 GP5 sequences (2015-2022) spanning 140 sub-lineages. RESULTS: Despite being trained only on GP5 sequence data, EscaPRRS-ORF5 recovered 85.7% of the surface-exposed receptor binding interfaces as escape-prone regions. We use a mutation-sensitive fitness scoring scheme that goes beyond Hamming distances, to predict antibody escape tendencies, supporting surveillance of (re) emerging PRRSV variants. We do not claim that ORF5 alone captures PRRSV evolution or serves as a surveillance endpoint; rather, Esca offers a scalable path toward whole-genome, structure-aware surveillance. AVAILABILITY AND IMPLEMENTATION: EscaPRRS-ORF5 is freely available at https://doi.org/10.6084/m9.figshare.32661033 with an interactive Colab notebook at https://colab.research.google.com/drive/1TEgzAhPwvNAZ01VXeJbIFibfri2jnDA5? usp=sharing.

Porcine respiratory and reproductive syndrome viru

Bone marrow transplantation.

Improvements in the results of bone marrow transplantation for the treatment of SCID may be expected by employing purified stem-cell concentrates for patients who do not have a compatible sibling available. Refinements in the purification technique and its monitoring are required, however. For the same category of patients it seems worthwhile to continue attempts at restoration with liver cells from fetuses less than 12 weeks of age. In addition, full protection against infections should be provided for patients expected to develop GVHD, and, therefore, such patients should only be treated in centers where reverse isolation and bacteriologic decontamination can be performed. In view of the rarity of the disease, transplanters should agree on a limited number of graft protocols. For the treatment of bone marrow aplasia, attempts to identify the factors that can serve to predict the occurrence of GVHD in compatible host-donor sibling pairs should be continued. Only when the patients who will develop GVHD can be recognized in advance will it be feasible to fully exploit available GVHD reductive measures. In particular the role of the intestinal microflora should be investigated in this respect. Experimental evidence is presented, suggesting an aggravating influence of microflora on GVHD lesions, which are primarily induced by histocompatibility reactions. For such studies with incompatible siblings, the dog is the best available animal model. For the selective isolation of hemopoietic stem cells for transplantation purposes (as one means of reducing GVHD), methods for rapid identification of stem cells and immune competent cells, respectively, have to be developed. In leukemia, more research is necessary on the factors that play a role in the late complications of bone marrow transplantation. The toxicity of aggressive regimens employed in the eradication of the leukemia should be further analyzed. The collection of autologous normal hemopoietic stem cells from leukemic patients as introduced by Dicke et al. warrants further exploration to see whether these cells may replace the allogeneic transplantation procedure, thus avoiding all the complications generally encountered in GVHD. For all three diseases, it is extremely important to develop a method for the selection of compatible donors among unrelated individuals, because this will at least double the number of candidates for therapeutic bone marrow transplantation. Current progress in histocompatibility typing in the rhesus monkey and the dog makes these species excellent models for such investigations.

Animals

Host-pathogen interactions in scrapie.

There are many strains of the agent which causes scrapie and these can be used singly or given as mixed infections to investigate the ways in which agent and host control mechanisms interact during the pathogenesis of the disease. Two genes in mice are described; one only affects the kinetics of the disease when extraneural injections are used, the other acts irrespective of the route of injection and it is suggested that it determines the structure of a multimeric agent-replication site, the number of such subcellular sites in the body being strictly limited.--Different agent strain/host genotype combinations give such a wide range of results that conventional quantitative analysis can yield little of predictive genetical value unless the major biological variables in host and agent can be specified.

Alleles

iMTSS: an integrated framework for biology- and patient-driven prognosis in myelofibrosis undergoing transplantation.

BACKGROUND: Allogeneic hematopoietic cell transplantation is the only curative treatment for myelofibrosis, but failure occurs by two mechanistically distinct routes: relapse of the neoplasm, which reflects its underlying genetics, and non-relapse mortality, which reflects whether the patient and graft tolerate the procedure. Established prognostic systems either lack molecular granularity or were derived in the non-transplant setting, and all collapse these two routes into a single survival estimate. None can indicate why an individual patient is at risk, or which class of intervention might reduce that risk. OBJECTIVE: To determine why an individual patient is at risk and to develop and validate an integrated framework that quantifies biology- and patient-driven prognosis. STUDY DESIGN: We analyzed 1,550 adults undergoing first allogeneic transplantation for primary or secondary myelofibrosis across international centers, the largest genomically annotated transplant cohort in this disease. The cohort was split into development (n=930) and validation (n=620) sets. Overall survival was modeled by Cox regression; relapse and non-relapse mortality were modeled as competing events by Fine-Gray subdistribution-hazard regression at 2 years. Discrimination was assessed by the concordance index with bootstrap confidence intervals. The molecular contribution was quantified by variance decomposition of, and robustness to the analytic choices was examined by resampling. RESULTS: A genetically defined disease-intrinsic axis, including TP53 allelic state, RAS pathway mutations, ASXL1 and driver genotype, blasts and blood counts, predicted 2 year relapse incidence (validation concordance 0.69, 95% CI 0.63 to 0.74), whereas a non-overlapping host and structural axis, including portal vein thrombosis, donor type, patients' performance status, and age predicted 2-year non-relapse mortality (0.63, 95% CI 0.59 to 0.68). The two scores shared only 3.4% of their variance, indicating that a patient's disease genetics carried almost no information about non-relapse mortality. Variance decomposition showed that TP53 allelic state alone accounted for 30% of the relapse score. Recombined, the framework discriminated overall survival (concordance 0.640, 95% CI 0.616 to 0.662) better than every established prognostic system. For proof of concept, 3 risk groups separated in the validation cohort, with 5 year survival of 72%, 58%, and 39% (P<0.001), and the models were well calibrated. CONCLUSIONS: Relapse and non-relapse mortality after transplantation for myelofibrosis are governed by distinct dimensions. Estimating both outcomes independently with genetic and clinical information, in addition to overall survival, establishes an individualized basis for transplant decision-making. The calculator is openly available (https://imtss-calculator.com).

mortality

Evolutionary constraints and regulatory plasticity shape host specialization in the Magnaporthe oryzae species complex.

Rice blast caused by Magnaporthe oryzae threatens global rice production, and wheat blast emergence highlights the pathogen's capacity for host shifts. Although numerous studies have described M. oryzae genome organization and infection mechanisms, critical questions remain regarding the evolutionary drivers of stable host specialization. Importantly, the blast pathogen comprises a species complex of genetically differentiated, host-adapted lineages rather than single homogeneous species. To address this knowledge gap, we integrate evidence from evolutionary genomics, transcriptomics, and metabolomics to develop the "Constrained Plasticity" framework. We argue that host adaptation arises from three interacting layers: genomic scaffolding (including epigenetic and noncoding RNA regulation), regulatory networks (enabling transcriptional plasticity), and metabolic compatibility (determining physiological success). This systems-level perspective explains the long-term stability of host-adapted lineages and the rare breakdowns resulting in host shifts, such as wheat blast. This framework generates testable predictions for pathogen emergence and provides a roadmap for developing lineage-aware resistance strategies.

Oryza

A functional atlas of transposon-encoded products and their integration into host networks.

Transposable elements (TEs) are pervasive genomic components that propagate via self-encoded factors, yet the nature, regulation, and function of these factors remain largely unresolved. Here, we integrated extensive long- and short-read transcriptome data, regulatory network analyses, deep proteomics, and structural predictions to construct a comprehensive atlas of TE products in Arabidopsis. We show that TE expression is embedded within host regulatory circuits, with DNA methylation and transcription factors jointly shaping TE transcriptional activity. Proteomic analyses confirm the production of over a hundred of high-confidence TE-encoded proteins, and structure-guided analyses of the transcript-informed TE proteome predict previously uncharacterized structural folds, multimerization capacity, and host protein interaction potential. Structural alignments further uncover cryptic homologies between TE-encoded proteins and host factors, including cases of domestications and co-options. Together, our study reveals the functional integration of TEs into cellular pathways and underscores the role of TEs as active drivers of genome function and innovation.

Arabidopsis

Synthetic community Hi-C benchmarking provides a baseline for virus-host inferences.

Microbiomes influence diverse ecosystems, and viruses increasingly appear to impose key constraints. While viromics has expanded genomic catalogs, host identification for these viruses remains challenging due to the limitations in scaling cultivation-based approaches and the uncertain reliability and relative low resolution of in silico predictions - particularly for understudied viral taxa. Towards this, Hi-C proximity ligation uses sequenced, cross-linked virus and host genomic fragments to infer virus-host linkages and has now been applied in at least ten studies. However, its accuracy remains unknown. Here we assess Hi-C performance in recovering virus-host interactions using synthetic communities (SynComs) composed of four marine bacterial strains and nine phages with known interactions and then apply optimized bioinformatic protocols to natural soil samples. In SynComs, standard Hi-C sample preparations and analyses showed poor normalized contact score performance (26% specificity, 100% sensitivity, incorrect matches up to class level) that could be dramatically improved by Z-score filtering (Z &#x2265; 0.5, 99% specificity), though at reduced sensitivity (62% down from 100%). Detection limits were established as reproducibility was poor below minimal phage abundances of 105 PFU/mL. Applying optimized bioinformatic protocols to natural soil samples, we compared virus-host linkages inferred from proximity-ligated Hi-C sequencing with predictions generated by in silico homology-based and machine learning-based bioinformatic approaches. Prior to Z-score thresholding, agreement was relatively high at the phylum to family levels (72%), but not at the genus (43%) or species (15%) levels. Z-score thresholding reduced sensitivity (only 34% of predictions were retained), with only modest improvements in congruence with bioinformatic methods (48% or 18% at genus or species levels, respectively). Regardless, this led to 79 genus-level-congruent virus-host linkages and 293 new ones revealed by Hi-C alone - i.e., providing many new virus-host interactions to explore in already well-studied climate-critical soils. Overall, these findings provide empirical benchmarks and methodological guidelines to improve the accuracy and reliability of Hi-C for virus-host linkage studies in complex microbial communities.

Genomics

Benchmarking with synthetic communities provides a baseline for virus-host inferences from Hi-C proximity linking.

Microbiomes influence diverse ecosystems, and viruses increasingly appear to impose key constraints. While viromics has expanded genomic catalogs, host identification for these viruses remains challenging due to the limitations in scaling cultivation-based approaches and the uncertain reliability and relative low resolution of in silico predictions - particularly for understudied viral taxa. Towards this, Hi-C proximity ligation uses sequenced, cross-linked virus and host genomic fragments to infer virus-host linkages and has now been applied in at least 10 studies. However, its accuracy remains unknown. Here we assess Hi-C performance in recovering virus-host interactions using synthetic communities (SynComs) composed of four marine bacterial strains and nine phages with known interactions and then apply optimized bioinformatic protocols to natural soil samples. In SynComs, standard Hi-C sample preparations and analyses showed poor normalized contact score performance (26% specificity, 100% sensitivity, incorrect matches up to class level) that could be dramatically improved by Z-score filtering (Z&#x2009;&#x2265;&#x2009;0.5, 99% specificity), though at reduced sensitivity (62% down from 100%). Detection limits were established as reproducibility was poor below minimal phage abundances of 105 PFU/mL. Applying optimized bioinformatic protocols to natural soil samples, we compared virus-host linkages inferred from proximity-ligated Hi-C sequencing with predictions generated by in silico homology-based and machine learning-based bioinformatic approaches. Prior to Z-score thresholding, agreement was relatively high at the phylum to family levels (72%), but not at the genus (43%) or species (15%) levels. Z-score thresholding reduced sensitivity (only 34% of predictions were retained), with only modest improvements in congruence with bioinformatic methods (48% or 18% at genus or species levels, respectively). Regardless, this led to 79 genus-level-congruent virus-host linkages and 293 new ones revealed by Hi-C alone, i.e., providing many new virus-host interactions to explore in already well-studied climate-critical soils. Overall, these findings provide empirical benchmarks and methodological guidelines to improve the accuracy and reliability of Hi-C for virus-host linkage studies in complex microbial communities.

Benchmarking

Decoding the distribution, structure-function-redox potential relationship and recent advances in fungal laccases: a systematic approach.

Laccases, categorized as multicopper oxidases, are recognized for their multifaceted roles in ecosystems and their utility in diverse industrial applications. Laccases from higher fungi, specifically Ascomycota and Basidiomycota, have garnered significant research interest due to their elevated redox potentials and their capacity to degrade lignin in decaying wood, alongside other industrial uses. Here, we have conducted a comprehensive and systematic analysis on fungal laccases using Web of Science, Scopus, PubMed, and ScienceDirect. The genomic distribution, phylogenetic affiliation, and structural organization of laccase-encoding genes in higher fungal species were investigated, as were the catalytic mechanisms of the corresponding enzymes. Additionally, the study explores the correlation between structural domains and redox potential, as well as the impact of post-translational modifications like glycosylation on enzyme activity. Furthermore, the recent advancements in laccase engineering, employing strategies such as rational design, directed evolution, and heterologous expression are discussed. The review also explores the scope of "artificial intelligence and machine learning" in deducing the structure-function relationships, optimizing codon usage, predicting signal peptides, enhancing enzymatic performance, and developing host-specific genetic engineering techniques is also discussed for tailoring fungal laccases to meet the demands of industrial biocatalysis for improved activity and stability.

Laccase

An evaluation of some theories of the mechanism of aging.

Two theories of aging are considered in this review. Although there exists substantial experimental evidence in support of the somatic mutation and error catastrophe hypotheses, several experiments have been published which are extremely difficult to reconcile with these models, at least in their simplest forms. These include the observation that biochemical and morphological degenerative changes observed in fibroblasts aged in vitro do not resemble alterations observed in cells obtained from aged donors, and the fact that tissues transplanted serially through different hosts do not decline in vigor in the manner predicted by the somatic mutation theory. Although biochemical and mutational alterations appear to accumulate in fibroblasts aged in vitro (in support of the error catastrophe model), there are substantial problems with the interpretation of such experiments, and some observations (such as the lack of increase in translational error in hemoglboin synthesis as a function of age) seem to argue directly against the error catastrophe theory. Some alternative theoretical and experimental possibilities are discussed, including the concept of programmed aging as the cause of senescence.

Age Factors

[General aspects of cytostatic therapy of hemoblastoses].

In haemoblastoses the chemotherapy is able to achieve remissions and prolongations of the survival time. The combined or polychemotherapy, respectively, is here comparatively more effective than the monotherapy. In haemoblastoses the concept of the maximal destruction of tumours (induction therapy) could be realised by means of consolidation and maintenance therapy. The prediction of the therapy effects by inclusion of different host parameters (morphology, immune state, age, sensibility test) may only approximately be done. In the induction and maintenance of the remission the supportive therapeutic measures play an essential role. By the development of selective cytostatic drugs and further utilisation of the results of molecular-biological experiments further ameliorations of the therapeutic situation are to be awaited.

Alkylating Agents

Prevalence of schistosome infections within molluscan populations: observed patterns and theoretical predictions.

The paper draws together a large and scattered body of empirical evidence concerning the prevalence of snail infection with schistosome parasites in field situations, the duration of the latent period of infection in snails (and its dependence on temperature), and the mortality rates of infected and uninfected snails in field and laboratory conditions. A review and synthesis of quantitative data on the population biology of schistosome infections within the molluscan host is attempted and observed patterns of infection are compared with predictions of a schistosomiasis model developed by May (1977) which incorporates differential snail mortality (between infected and uninfected snails) and latent periods of infection. It is suggested that the low levels of prevalence within snail populations in endemic areas of schistosomiasis are closely associated with high rates of infected snail mortality and the duration of the latent period of infection within the mollusc. In certain instances, the expected life-span of an infected snail may be less than the duration of the latent period of infection. Such patterns generate very low levels of parasite prevalence. A new age prevalence model for schistosome infections within snail populations is developed and its predictions compared with observed patterns. The implications of this study of observed and predicted patterns of snail infection within molluscan populations are discussed in relation to the overall transmission dynamics of schistosomiasis.

Animals