Nemabiome metabarcoding shows a high prevalence of Haemonchus contortus and predominance of Camelostrongylus mentulatus in alpaca herds in the northern UK.

Gastrointestinal nematodes (GINs) are a common threat faced by pastoral livestock. Since their major introduction to the UK in the early 1990s, South American camelids have been cograzed with sheep, horses, and other livestock, allowing exposure to a range of GIN species. However, there have been no molecular-based studies to investigate the GIN populations present in these camelids. In the current study, we sampled nine alpaca herds from northern England and southern Scotland and used high-throughput metabarcoded sequencing to describe their GIN species composition. A total of 71 amplicon sequence variants (ASVs) were identified representing eight known GIN species. Haemonchus contortus was the most prevalent species found in almost all herds in significant proportions. The identification of H. contortus in other livestock species is unusual in the northern UK, implying that alpacas may be suitable hosts and potential reservoirs for infection in other hosts. In addition, the camelid-adapted GIN species Camelostrongylus mentulatus was identified predominantly in herds with higher faecal egg counts. These findings highlight the value of applying advanced molecular methods, such as nemabiome metabarcoding to describe the dynamics of gastrointestinal nematode infections in novel situations. The results provide a strong base for further studies involving cograzing animals to confirm the potential role of alpacas in transmitting GIN species between hosts.

Faecal egg counts and nemabiome metabarcoding highlight the genomic complexity of equine cyathostomin communities and provide insight into their dynamics in a Scottish native pony herd.

Understanding the composition of gastrointestinal nematode communities may help to mitigate or exploit parasite adaptations within their host. We have used nemabiome deep amplicon sequencing of internal transcribed spacer-2 (ITS-2) ribosomal DNA to describe the temporal and host species composition of gastrointestinal nematode communities following sampling of six Scottish ponies across 57 months. In the absence of parasite control, each horse showed seasonal trends of increases and decreases in faecal egg counts, consistent with the epidemiology of equine strongylid parasites, however, the composition of parasites within individuals changed over time. Sixteen presumptive strongylid species were identified in each of the horses, 13 of which were distributed in a complex clade together with small numbers of amplicon sequences which could not be classified beyond the Cyathostominae subfamily level. Egg shedding of seven trichostrongylid species, which had previously been identified in co-grazed Soay sheep, was identified during the early spring. Faecal egg counts and the percentage of amplicon sequences assigned to each gastrointestinal nematode species were combined to describe their relative abundance across both host and time. Significant differences in species diversity between horses and between months were observed, being greatest from March to May and least from October to December. The magnitude of the individual horse effect varied between months and, conversely, the magnitude of the seasonal effect varied between individual horses. The most abundant gastrointestinal nematode in each of the horses was Cylicostephanus longibursatus (46.6% overall), while the abundance of the other strongylid species varied between horses and relative to each other. Patent C. longibursatus infections over the winter months might represent a genetic adaptation towards longer adult worm survival, or a lower rate of developmental arrest in the autumn. This study provides insight into highly complex phylogenetic relationships between closely related cyathostomin species; and describes the dynamics of egg shedding and pasture contamination of co-infecting equine gastrointestinal nematode communities. The results could be applied to determine how climatic and management factors affect the equilibrium between hosts and their parasites, and to inform the development of sustainable gastrointestinal nematode control strategies for different host species.

Genetic characterisation of the Theileria annulata cytochrome b locus and its impact on buparvaquone resistance in bovine.

Control of tropical theileriosis, caused by the apicomplexan Theileria annulata, depends on the use of a single drug, buparvaquone, the efficacy of which is compromised by the emergence of resistance. The present study was undertaken to improve understanding of the role of mutations conferring buparvaquone resistance in T. annulata, and the effects of selection pressures on their emergence and spread. First, we investigated genetic characteristics of the cytochrome b locus associated with buparvaquone resistance in 10 susceptible and 7 resistant T. annulata isolates. The 129G (GGC) mutation was found in the Q01 binding pocket and 253S (TCT) and 262S (TCA) mutations were identified within the Q02 binding pocket. Next, we examined field isolates and identified cytochrome b mutations 129G (GGC), 253S (TCT) and 262S (TCA) in 21/75 buffalo-derived and 19/119 cattle-derived T. annulata isolates, providing evidence of positive selection pressure. Both hard and soft selective sweeps were identified, with striking differences between isolates. For example, 19 buffalo-derived and 7 cattle-derived isolates contained 129G (GGC) and 253S (TCT) resistance haplotypes at a high frequency, implying the emergence of resistance by a single mutation. Two buffalo-derived and 12 cattle-derived isolates contained equally high frequencies of 129G (GGC), 253S (TCT), 129G (GGC)/253S (TCT) and 262S (TCA) resistance haplotypes, implying the emergence of resistance by pre-existing or recurrent mutations. Phylogenetic analysis further revealed that 9 and 21 unique haplotypes in buffalo and cattle-derived isolates were present in a single lineage, suggesting a single origin. We propose that animal migration between farms is an important factor in the spread of buparvaquone resistance in endemic regions of Pakistan. The overall outcomes will be useful in understanding how drug resistance emerges and spreads, and this information will help design strategies to optimise the use and lifespan of the single most drug use to control tropical theileriosis.

Current methods for the detection of Plasmodium parasite species infecting humans.

Malaria is the world's fatal parasitic disease. The ability to quickly and accurately identify malaria infection in challenging environments is crucial to allow efficient administration of the best treatment regime for human patients. If those techniques are accessible and efficient, global detection of Plasmodium species will become more sensitive, allowing faster and more precise action to be taken for disease control strategies. Recent advances in technology have enhanced our ability to diagnose different species of Plasmodium parasites with greater sensitivity and specificity. This literature review provides a summary and discussion of the current methods for the diagnosis and identification of Plasmodium spp. in human blood samples. So far not a single method is precise, but advanced technologies give consistent identification of a Plasmodium infection in endemic regions. By using the power of the recent methods, we can provide a broader understanding of the multiplicity of infection and or transmission dynamics of Plasmodium spp. This will result in improved disease control strategies, better-informed policy, and effective treatment for malaria-positive patients.

A novel metabarcoded deep amplicon sequencing tool for disease surveillance and determining the species composition of Trypanosoma in cattle and other farm animals.

The World Health Organization (WHO) and the Food and Agriculture Organization (FAO) have developed strategies to control trypanosomiasis in humans and livestock in endemic areas. These require a better understanding of the distribution of different Trypanosoma species and improved predictions of where they might appear in the future, based on accurate diagnosis and robust surveillance systems. Here, we describe a metabarcoding deep amplicon sequencing method to identify and determine the Trypanosoma species in co-infecting communities. First, four morphological verified Trypanosoma species (T. brucei, T. congolense, T. vivax and T. theileri) were used to prepare test DNA pools derived from different numbers of parasites to evaluate the method's detection threshold for each of the four species and to assess the accuracy of their proportional quantification. Having demonstrated the accurate determination of species composition in Trypanosoma communities, the method was applied to determine its detection threshold using blood samples collected from cattle with confirmed Trypanosoma infections based on a PCR assay. Each sample showed a different Trypanosoma species composition based on the proportion of MiSeq reads. Finally, we applied the assay to field samples to develop new insight into the species composition of Trypanosoma communities in cattle, camels, buffalo, horses, sheep, and goat in endemically infected regions of Pakistan. We confirmed that Trypanosoma evansi is the major species in Pakistan and for the first time showed the presence of Trypanosoma theileri. The metabarcoding deep amplicon sequencing method and bioinformatics pathway have several potential applications in animal and human research, including evaluation of drug treatment responses, understanding of the emergence and spread of drug resistance, and description of species interactions during co-infections and determination of host and geographic distribution of trypanosomiasis in humans and livestock.

High-throughput sequencing of Fasciola spp. shows co-infection and intermediate forms in Balochistan, but only Fasciola gigantica in the Punjab province of Pakistan.

Fasciola gigantica and Fasciola hepatica are digenetic trematodes causing fasciolosis in ruminants. The host and geographical distribution of both Fasciola species are influenced by environmental and climatic conditions favouring survival and development of free-living stages and intermediate hosts, and livestock management practices. The aim of the present study was to describe the host distribution of the two Fasciola species in buffalo, cattle, goats, and sheep in the Balochistan and Punjab provinces of Pakistan. 359 flukes were collected from a total of 32 livers from the four livestock species. Deep amplicon sequencing of the internal transcribed spacer region 2 of ribosomal DNA (rDNA ITS-2) and mitochondrial nicotinamide adenine dinucleotide dehydrogenase 1 (mtDNA ND-1) loci confirmed co-infection of F. hepatica and F. gigantica in Balochistan and single species F. gigantica infection in Punjab. In Balochistan, co-infections and hybrids of both Fasciola species were identified in cattle, with more F. hepatica detected than F. gigantica. However, F. hepatica was the only species identified in goats, and F. gigantica was the only species identified in buffalo. In Punjab, all flukes were confirmed as F. gigantica in each of the four livestock species. Overall, the results indicate differences in the host and geographical distribution of F. gigantica and F. hepatica, and provide useful knowledge for the development of control strategies for livestock and humans.

Solid-state nanopore analysis of human genomic DNA shows unaltered global 5-hydroxymethylcytosine content associated with early-stage breast cancer.

5-Hydroxymethylcytosine (5hmC), the first oxidized form of the well-known epigenetic modification 5-methylcytosine, is an independent regulator of gene expression and therefore a potential marker for disease. Here, we report on methods developed for a selective solid-state nanopore assay that enable direct analysis of global 5hmC content in human tissue. We first describe protocols for preparing genomic DNA derived from both healthy breast tissue and stage 1 breast tumor tissue and then use our approach to probe the net abundance of the modified base in each cohort. Then, we employ empirical data to adjust for the impact of nanopore diameter on the quantification. Correcting for variations in nanopore diameter among the devices used for analysis reveals no detectable difference in global 5hmC content between healthy and tumor tissue. These results suggest that 5hmC changes may not be associated with early-stage breast cancer and instead are a downstream consequence of the disease.

Direct Detection of Conserved Viral Sequences and Other Nucleic Acid Motifs with Solid-State Nanopores.

The rapid and reliable recognition of nucleic acid sequences is essential to a broad range of fields including genotyping, gene expression analysis, and pathogen screening. For viral detection in particular, the capability is critical for optimal therapeutic response and preventing disease transmission. Here, we report an approach for detecting identifying sequence motifs within genome-scale single-strand DNA and RNA based on solid-state nanopores. By designing DNA oligonucleotide probes with complementarity to target sequences within a target genome, we establish a protocol to yield affinity-tagged duplex molecules the same length as the probe only if the target is present. The product can subsequently be bound to a protein chaperone and analyzed quantitatively with a selective solid-state nanopore assay. We first use a model DNA genome (M13mp18) to validate the approach, showing the successful isolation and detection of multiple target sequences simultaneously. We then demonstrate the protocol for the detection of RNA viruses by identifying and targeting a highly conserved sequence within human immunodeficiency virus (HIV-1B).

Molecular characterization and phylogenetic analyses of Fasciola gigantica of buffaloes and goats in Punjab, Pakistan.

Fasciola gigantica is considered to be a major pathogen causing fasciolosis in the Indian subcontinent, resulting in production losses of millions of dollars in the livestock industry. Understading the dispersal origin and the patterns of spread of F. gigantica is important. A total of 53 Fasciola flukes collected from buffaloes and goats in Punjab, Pakistan between 2017 and 2018 were identified as F. gigantica based on the multiplex PCR for the phosphoenolpyruvate carboxykinase (pepck) and the PCR-restriction fragment length polymorphism (RFLP) for DNA polymerase delta (pold). A significant genetic difference between F. gigantica from buffaloes and goats was indicated by the genetic analyses of mitochondrial markers, NADH dehydrogenase subunit 1 (nad1) and cytochrome C oxidase subunit 1 (cox1). Phylogenetic analysis of the seventeen nad1 haplotypes of F. gigantica from Pakistan with those in neighbouring countries of the Indian subcontinent revealed that all the haplotypes identified in Pakistan were clustered in haplogroup A. fasciola gigantica with the eight haplotypes might be expanded in Pakistan from Indian origin, along with the migration of the domestic animals, since they were related to Indian haplotypes. In contrast, the remaining nine haplotypes were not shared with any neighbouring countries, suggesting independent origin, probably from neighbouring Middle East countries. However, cautious interpretation is required due to the very limited samples size of this study. Our study provides a proof of concept for a method that could be used to investigate the epidemiology of F. gigantica.

Modular affinity-labeling of the cytosine demethylation base elements in DNA.

5-methylcytosine is the most studied DNA epigenetic modification, having been linked to diverse biological processes and disease states. The elucidation of cytosine demethylation has drawn added attention the three additional intermediate modifications involved in that pathway-5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine-each of which may have distinct biological roles. Here, we extend a modular method for labeling base modifications in DNA to recognize all four bases involved in demethylation. We demonstrate both differential insertion of a single affinity tag (biotin) at the precise position of target elements and subsequent repair of the nicked phosphate backbone that remains following the procedure. The approach enables affinity isolation and downstream analyses without inducing widespread damage to the DNA.

Genetic diversity and multiplicity of infection in Fasciola gigantica isolates of Pakistani livestock.

Fasciola spp. are responsible for over 3 billion US dollars of production loss annually in livestock and cause widespread zoonotic disease. Nevertheless, understating of the emergence and spread of the trematode species is poor. The multiplicity of F. gigantica infection and its spread is potentially influenced by multiple factors, including the abundance of suitable intermediate hosts, climatic conditions favouring the completion of the parasite's lifecycle, and translocation of infected animals, or free-living parasite stages between regions. Here we describe the development of a 'tremabiome' metabarcoding sequencing method to explore the numbers of F. gigantica genotypes per infection and patterns of parasite spread, based on genetic characteristics of the mitochondrial NADH dehydrogenase 1 (mt-ND-1) locus. We collected F. gigantica from three abattoirs in the Punjab and Balochistan provinces of Pakistan, and our results show a high level of genetic diversity in 20 F. gigantica populations derived from small and large ruminants consigned to slaughter in both provinces. This implies that F. gigantica can reproduce in its definitive hosts through meiosis involving cross- and self-breeding, as described in the closely related species, Fasciola hepatica. The genetic diversity between the 20 populations derived from different locations also illustrates the impact of animal movements on gene flow. Our results demonstrate the predominance of single haplotypes, consistent with a single introduction of F. gigantica infection in 85% of the hosts from which the parasite populations were derived. This is consistent with clonal reproduction in the intermediate snail hosts.

Label-free analysis of physiological hyaluronan size distribution with a solid-state nanopore sensor.

Hyaluronan (or hyaluronic acid, HA) is a ubiquitous molecule that plays critical roles in numerous physiological functions in vivo, including tissue hydration, inflammation, and joint lubrication. Both the abundance and size distribution of HA in biological fluids are recognized as robust indicators of various pathologies and disease progressions. However, such analyses remain challenging because conventional methods are not sufficiently sensitive, have limited dynamic range, and/or are only semi-quantitative. Here we demonstrate label-free detection and molecular weight discrimination of HA with a solid-state nanopore sensor. We first employ synthetic HA polymers to validate the measurement approach and then use the platform to determine the size distribution of as little as 10 ng of HA extracted directly from synovial fluid in an equine model of osteoarthritis. Our results establish a quantitative method for assessment of a significant molecular biomarker that bridges a gap in the current state of the art.

Solid-State Nanopore Analysis of Diverse DNA Base Modifications Using a Modular Enzymatic Labeling Process.

Many regulated epigenetic elements and base lesions found in genomic DNA can both directly impact gene expression and play a role in disease processes. However, due to their noncanonical nature, they are challenging to assess with conventional technologies. Here, we present a new approach for the targeted detection of diverse modified bases in DNA. We first use enzymatic components of the DNA base excision repair pathway to install an individual affinity label at each location of a selected modified base with high yield. We then probe the resulting material with a solid-state nanopore assay capable of discriminating labeled DNA from unlabeled DNA. The technique features exceptional modularity via selection of targeting enzymes, which we establish through the detection of four DNA base elements: uracil, 8-oxoguanine, T:G mismatch, and the methyladenine analog 1,N6-ethenoadenine. Our results demonstrate the potential for a quantitative nanopore assessment of a broad range of base modifications.

Quantifying mammalian genomic DNA hydroxymethylcytosine content using solid-state nanopores.

5-hydroxymethylcytosine (5 hmC), the oxidized form of 5-methylcytosine (5 mC), is a base modification with emerging importance in biology and disease. However, like most epigenetic elements, it is transparent to many conventional genetic techniques and is thus challenging to probe. Here, we report a rapid solid-state nanopore assay that is capable of resolving 5 hmC with high specificity and sensitivity and demonstrate its utility in assessing global modification abundance in genomic DNA.

Sequence-Specific Recognition of MicroRNAs and Other Short Nucleic Acids with Solid-State Nanopores.

The detection and quantification of short nucleic acid sequences has many potential applications in studying biological processes, monitoring disease initiation and progression, and evaluating environmental systems, but is challenging by nature. We present here an assay based on the solid-state nanopore platform for the identification of specific sequences in solution. We demonstrate that hybridization of a target nucleic acid with a synthetic probe molecule enables discrimination between duplex and single-stranded molecules with high efficacy. Our approach requires limited preparation of samples and yields an unambiguous translocation event rate enhancement that can be used to determine the presence and abundance of a single sequence within a background of nontarget oligonucleotides.

Nanopore Analysis of Single-Stranded Binding Protein Interactions with DNA.

We study the binding of E. coli single-stranded binding protein (SSB) to single-stranded DNA (ssDNA) using a solid-state nanopore assay. We find that saturated nucleoprotein complexes can be distinguished easily from free SSB, ssDNA, or double-stranded DNA individually and demonstrate that the high affinity of SSB for ssDNA can be exploited to achieve high-fidelity differentiation from duplex molecules in a mixture. We then study nucleoprotein filament formation by systematically varying the amount of SSB relative to ssDNA. We observe a concomitant shift in the mean amplitude of electrical events that is consistent with weakly cooperative binding. Finally, we compare circular and linearized ssDNA saturated with SSB and use the results to infer structural details of the nucleoprotein complex.

Selective detection and quantification of modified DNA with solid-state nanopores.

We demonstrate a solid-state nanopore assay for the unambiguous discrimination and quantification of modified DNA. Individual streptavidin proteins are employed as high-affinity tags for DNA containing a single biotin moiety. We establish that the rate of translocation events corresponds directly to relative concentration of protein-DNA complexes and use the selectivity of our approach to quantify modified oligonucleotides from among a background of unmodified DNA in solution.

Interpreting the conductance blockades of DNA translocations through solid-state nanopores.

Solid-state nanopore electrical signatures can be convoluted and are thus challenging to interpret. In order to better understand the origin of these conductance changes, we investigate the translocation of DNA through small, thin pores over a range of voltage. We observe multiple, discrete populations of conductance blockades that vary with applied voltage. To describe our observations, we develop a simple model that is applicable to solid-state nanopores generally. These results represent an important step toward understanding the dynamics of the electrokinetic translocation process.