Dettwiler Ines, Troell Karin, Robinson Guy, Chalmers Rachel M, Basso Walter, Rentería-Solís Zaida Melina, Daugschies Arwid, Mühlethaler Konrad, Dale Mariko I, Basapathi Raghavendra Jyothi, Ruf Marie-Thérèse, Poppert Sven, Meylan Mireille, Olias Philipp
Institute of Animal Pathology, University of Bern, Bern, Switzerland.
Department of Microbiology, National Veterinary Institute, Uppsala, Sweden.
J Infect Dis. 2022 Feb 15;225(4):686-695. doi: 10.1093/infdis/jiab417.
Cryptosporidiosis is a parasitic disease associated with potentially fatal diarrhea. The most used method in Cryptosporidium subtyping is based on the glycoprotein gene gp60. Each infection can represent a parasite population, and it is important to investigate the influence on transmission and virulence, as well as any impact on public health investigations. However, an easy-to-use method for detection is lacking.
Here we report on the use of the bioinformatic program TIDE for deconvolution of gp60 chromatograms. A combination of single oocyst analysis and cloning successfully confirmed the within-sample parasite population diversity. Retrospective sample analysis was conducted on archived chromatograms.
For Cryptosporidium parvum, 8.6% multistrain infections (13 of 152) obscured by currently used consensus base calling were detected. Importantly, we show that single oocysts can harbor a mixed population of sporozoites. We also identified a striking dominance of unappreciated polymerase stutter artefacts in all 218 chromatograms analyzed, challenging the uncritical use of gp60 typing.
We demonstrate the value of a new, easy-to-use analytical procedure for critical characterization of C. parvum and Cryptosporidium hominis in epidemiological investigations, also applicable retrospectively. Our findings illuminate the hidden parasite diversity with important implications for tracing zoonotic and person-to-person transmissions.
隐孢子虫病是一种与潜在致命性腹泻相关的寄生虫病。隐孢子虫亚型分析中最常用的方法基于糖蛋白基因gp60。每次感染可能代表一个寄生虫群体,研究其对传播和毒力的影响以及对公共卫生调查的任何影响非常重要。然而,目前缺乏一种易于使用的检测方法。
在此我们报告使用生物信息学程序TIDE对gp60色谱图进行去卷积分析。单卵囊分析和克隆相结合成功证实了样本内寄生虫群体的多样性。对存档的色谱图进行了回顾性样本分析。
对于微小隐孢子虫,检测到8.6%(152例中的13例)的多菌株感染被当前使用的一致性碱基识别方法所掩盖。重要的是,我们发现单个卵囊可含有混合的子孢子群体。我们还在所有分析的218个色谱图中发现了未被重视的聚合酶滑动假象的显著优势,这对不加批判地使用gp60分型提出了挑战。
我们证明了一种新的、易于使用的分析程序在流行病学调查中对微小隐孢子虫和人隐孢子虫进行关键特征分析的价值,该程序也可用于回顾性分析。我们的研究结果揭示了隐藏的寄生虫多样性,对追踪人畜共患病传播和人传人传播具有重要意义。