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Kozel, K.

Publications and source records attributed to Kozel, K..

3 recordsLinked to original sources

Limited genetic structure and high gene flow in Fasciola hepatica populations infecting ruminants in different geographic areas in the UK

The liver fluke, Fasciola hepatica, is a major parasitic threat to ruminant health and productivity worldwide, with important implications for food security, animal welfare, and zoonotic risk. This study developed and validated a multiplex deep amplicon sequencing assay targeting the mitochondrial NADH dehydrogenase 1 (mt-ND1) and cytochrome c oxidase subunit 1 (mt-COX1) loci for high-throughput genotyping of F. hepatica. DNA was extracted from eggs sedimented from sheep and cattle faeces (n = 78) received from farms and from adult worm pools (n = 12) isolated at abattoirs from diverse regions across the UK. Following high-throughput sequencing, bioinformatics analysis was performed to demultiplex Illumina sequence reads and extract amplicon sequence variants (ASVs). A total of 11 ASVs were identified at each locus (mt-ND1: 264-279 bp; mt-COX1: 312-319 bp), with two or three predominant ASVs per locus, along with rare variants. Network and PCA analyses revealed two distinct clusters at the mt-ND1 locus: one primarily associated with sheep and another shared between sheep and cattle. In contrast, mt-COX1 sequence reads formed a single dominant cluster. Population analyses revealed extensive ASV sharing across regions, indicating high gene flow, likely facilitated by livestock movement and parasite adaptation.

evolutionary biology↗

Scalable Assembly of Ascaris Mitogenomes from Whole-Genome Data Reveals a Novel Clade

The genus Ascaris is an important group of giant parasitic roundworms, infecting over 700 million people globally, with substantial economic losses in domestic pigs. Whilst species of Ascaris are morphologically indistinguishable, analysis of mitochondrial and selected nuclear DNA loci has revealed three clades (A, B, C), which may inflate with the addition of genomic data. Here, we present a bioinformatic pipeline for de novo assembly of complete mitochondrial genomes (mtDNA) from low-coverage whole-genome data through host-read depletion or mtDNA read enrichment, followed by mtDNA-specific assembly. Our approach yielded 149 high-quality Ascaris mtDNA assemblies, enabling the study of population-level diversity, including the identification of a novel clade (Clade D, designated here) associated with human samples from Ethiopia. Our analysis further revealed Clade C to comprise of pig-derived samples from Europe based on characterisation of worms isolated in Germany. Furthermore, genetic diversity across all mitochondrial loci was high (concatenated dataset: S = 1261; h = 94; {pi} = 0.0224), indicating substantial intraspecies variation. Our methods described here provide a scalable framework for mtDNA genome reconstruction with insights into roundworm population-genomic and phylogenetic studies.

genomics↗

Development of a qPCR assay and tremabiome deep amplicon sequencing method for differentiation of fluke species in livestock

BackgroundTrematode parasites, or flukes, are a significant economic threat to ruminant production worldwide. Traditional diagnostic methods rely on egg sedimentation from faeces, a time-consuming methodology lacking sensitivity and specificity. This study aimed to develop and validate two diagnostic methods: firstly, qPCR for accurate identification of Fasciola spp, and secondly, tremabiome, deep amplicon sequencing technique for identifying fluke species using faecal egg DNA. MethodologyTo detect fluke infection primers targeting mitochondrial DNA were repurposed to develop a SYBR Green qPCR diagnostic. For the identification of fluke species, a tremabiome approach was developed. A reference sequence library and taxonomy file were generated for 21 fluke species, enabling species sequence read separation and extracting amplicon sequence variants (ASVs). To validate the qPCR and tremabiome approach, 402 faecal samples were collected from cattle and sheep across the UK. Fluke eggs were isolated by sedimentation, detected by microscopy and qPCR, and tremabiome used to identify fluke eggs to species level. ResultsqPCR demonstrated high analytical sensitivity, detecting Fasciola hepatica DNA down to 19.2fg and F. gigantica down to 6.4fg, with no cross-amplification of other flukes. Tremabiome was able to detect as few as five F. hepatica and Calicophoron daubneyi eggs and identify mixed infections. High levels of co-infection (14.4%) of F. hepatica and C. daubneyi were observed in faecal samples, followed by single infections with C. daubneyi (12.6%) and F. hepatica (3.2%). Notably, tremabiome detected F. hepatica in 20 samples missed by qPCR. Data analysis identified 55 and 32 ASVs for F. hepatica and C. daubneyi, respectively, with phylogenetic clustering within their respective clades. ConclusionThis study developed qPCR assay for Fasciola detection and validated a tremabiome deep amplicon sequencing for fluke species differentiation. These approaches have improved capacity to identify fluke species compared to microscopy and are valuable tools for enhancing fasciolosis surveillance and control. Author SummaryFlukes are flatworm parasites that cause disease domestic and wild animals and humans. The main species infecting cattle and sheep globally are the liver flukes F. hepatica and F. gigantica, with other species including the rumen fluke Calicophoron daubneyi locally important or emerging. Infections result in serious economic losses. The traditional method of diagnosing fluke infection involves observation of eggs in faecal samples under the microscope, but this can be time-consuming and error prone, since the eggs of different species often look similar. In this study, we developed and validated two methods to improve detection: qPCR, a sensitive DNA-based test to identify Fasciola infections, and tremabiome, a DNA sequencing technique that can accurately differentiate between different fluke species. We tested these methods using faecal samples collected from cattle and sheep across the UK. The qPCR could detect small amounts of Fasciola DNA, while tremabiome was more sensitive, identifying different fluke species from as few as five eggs. Our study found that co-infections of F. hepatica and C. daubneyi are common in the UK. The approaches we have developed could be valuable tools for to improve fluke diagnosis and enable better control of this important parasitic disease.

molecular biology↗