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基于 qPCR 的 Ophidiomyces ophidiicola 基因分型检测方法的建立与应用,用于调查蛇真菌病的流行病学。

Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis.

机构信息

Wildlife Epidemiology Laboratory, Department of Veterinary Clinical Medicine, University of Illinois College of Veterinary Medicine, Urbana, Illinois, United States of America.

Current affiliation: Southeastern Cooperative Wildlife Disease Study, Department of Population Health, University of Georgia College of Veterinary Medicine, Athens, Georgia, United States of America.

出版信息

PLoS One. 2023 Aug 3;18(8):e0289159. doi: 10.1371/journal.pone.0289159. eCollection 2023.

Abstract

Ophidiomycosis (snake fungal disease) is an infectious disease caused by the fungus Ophidiomyces ophidiicola to which all snake species appear to be susceptible. Significant variation has been observed in clinical presentation, progression of disease, and response to treatment, which may be due to genetic variation in the causative agent. Recent phylogenetic analysis based on whole-genome sequencing identified that O. ophidiicola strains from the United States formed a clade distinct from European strains, and that multiple clonal lineages of the clade are present in the United States. The purpose of this study was to design a qPCR-based genotyping assay for O. ophidiicola, then apply that assay to swab-extracted DNA samples to investigate whether the multiple O. ophidiicola clades and clonal lineages in the United States have specific geographic, taxonomic, or temporal predilections. To this end, six full genome sequences of O. ophidiicola representing different clades and clonal lineages were aligned to identify genomic areas shared between subsets of the isolates. Eleven hydrolysis-based Taqman primer-probe sets were designed to amplify selected gene segments and produce unique amplification patterns for each isolate, each with a limit of detection of 10 or fewer copies of the target sequence and an amplification efficiency of 90-110%. The qPCR-based approach was validated using samples from strains known to belong to specific clades and applied to swab-extracted O. ophidiicola DNA samples from multiple snake species, states, and years. When compared to full-genome sequencing, the qPCR-based genotyping assay assigned 75% of samples to the same major clade (Cohen's kappa = 0.360, 95% Confidence Interval = 0.154-0.567) with 67-77% sensitivity and 88-100% specificity, depending on clade/clonal lineage. Swab-extracted O. ophidiicola DNA samples from across the United States were assigned to six different clonal lineages, including four of the six established lineages and two newly defined groups, which likely represent recombinant strains of O. ophidiicola. Using multinomial logistic regression modeling to predict clade based on snake taxonomic group, state of origin, and year of collection, state was the most significant predictor of clonal lineage. Furthermore, clonal lineage was not associated with disease severity in the most intensely sampled species, the Lake Erie watersnake (Nerodia sipedon insularum). Overall, this assay represents a rapid, cost-effective genotyping method for O. ophidiicola that can be used to better understand the epidemiology of ophidiomycosis.

摘要

蛇真菌病(ophidiomycosis)是一种由蛇真菌 Ophidiomyces ophidiicola 引起的传染病,所有蛇种似乎都容易感染这种真菌。临床表型、疾病进展和治疗反应存在显著差异,这可能是由于病原体的遗传变异所致。最近基于全基因组测序的系统发育分析表明,来自美国的 O. ophidiicola 菌株形成了一个与欧洲菌株不同的分支,该分支在美国存在多个克隆谱系。本研究旨在设计一种基于 qPCR 的 O. ophidiicola 基因分型检测方法,然后应用该方法对拭子提取的 DNA 样本进行检测,以研究美国的多个 O. ophidiicola 分支和克隆谱系是否具有特定的地理、分类或时间偏好。为此,对代表不同分支和克隆谱系的 6 个 O. ophidiicola 全基因组序列进行了比对,以确定分离株亚群之间共享的基因组区域。设计了 11 个基于水解的 Taqman 引物-探针组,以扩增选定的基因片段,并为每个分离株产生独特的扩增模式,每个分离株的检测限为目标序列的 10 个或更少拷贝,扩增效率为 90-110%。基于 qPCR 的方法通过已知属于特定分支的菌株样本进行了验证,并应用于来自多个蛇种、州和年份的拭子提取的 O. ophidiicola DNA 样本。与全基因组测序相比,基于 qPCR 的基因分型检测方法将 75%的样本分配到相同的主要分支(Cohen's kappa = 0.360,95%置信区间 = 0.154-0.567),具有 67-77%的敏感性和 88-100%的特异性,具体取决于分支/克隆谱系。来自美国各地的拭子提取的 O. ophidiicola DNA 样本被分配到六个不同的克隆谱系,包括六个已建立的谱系中的四个和两个新定义的群体,这可能代表 O. ophidiicola 的重组菌株。使用多项逻辑回归模型根据蛇的分类群、来源州和采集年份预测分支,州是克隆谱系的最显著预测因子。此外,在采样最密集的物种——伊利湖水蛇(Nerodia sipedon insularum)中,克隆谱系与疾病严重程度无关。总的来说,该检测方法代表了一种快速、具有成本效益的 O. ophidiicola 基因分型方法,可用于更好地了解蛇真菌病的流行病学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ccb/10399865/57ce2ec0f416/pone.0289159.g001.jpg

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