Duplex PCR-Nanopore sequencing assay for Cryptosporidium species and subtype determination

IF 2.6 4区 医学 Q3 INFECTIOUS DISEASES Infection Genetics and Evolution Pub Date : 2025-04-01 Epub Date: 2025-02-15 DOI:10.1016/j.meegid.2025.105727
Gustav Killander , Georgina Isak , Anna-Malin Linde , Abdolreza Advani , Caroline Rönnberg , Ioana Bujila
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Abstract

The protozoan parasite Cryptosporidium is a global cause of gastrointestinal disease and cryptosporidiosis outbreaks are common. Current widely used methods for Cryptosporidium species and subtype determination, i.e., analysis of the small subunit ribosomal RNA (ssu RNA) and the 60 kDa glycoprotein (gp60) using Sanger sequencing, are complex and labor intensive. As such, developing a more rapid, accurate, automated and cost-effective method for species and subtype determination is desired. In this study, we describe the design of a new method for rapid simultaneous PCR-amplification of the ssu rRNA and gp60 loci followed by Nanopore sequencing.
Species and subtypes assessed by Sanger sequencing, were successfully detected using Nanopore sequencing with 95 % concordance. Further, sequence similarity was assessed by comparing ssu rRNA and gp60 sequences attained from the two methods. Minor differences between the two methods in regards to ssu rRNA sequences were detected, however these differences did not affect species determination. In regards to the gp60 gene, all sequences were identical.
Overall, duplex PCR followed by Nanopore sequencing correlated well with Sanger sequencing, which is commonly used for Cryptosporidium species and subtype determination. As such, this newly developed method will replace Sanger sequencing at the Public Health Agency of Sweden.
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双链聚合酶链反应-纳米孔测序法测定隐孢子虫种类和亚型
隐孢子虫是一种全球性的胃肠道疾病,隐孢子虫病的暴发是常见的。目前广泛使用的隐孢子虫种类和亚型测定方法,即使用Sanger测序分析小亚基核糖体RNA (ssu RNA)和60 kDa糖蛋白(gp60),是复杂且劳动密集型的方法。因此,需要开发一种更快速、准确、自动化和经济有效的物种和亚型测定方法。在这项研究中,我们设计了一种新的方法,用于快速同时扩增ssu rRNA和gp60位点,然后进行纳米孔测序。Sanger测序评估的物种和亚型,使用纳米孔测序成功检测,一致性为95%。此外,通过比较两种方法获得的ssu rRNA和gp60序列来评估序列相似性。两种方法在ssu rRNA序列方面存在微小差异,但这些差异不影响物种测定。对于gp60基因,所有序列都是相同的。总的来说,双链PCR后的纳米孔测序与Sanger测序具有良好的相关性,Sanger测序通常用于隐孢子虫种类和亚型的确定。因此,这种新开发的方法将取代瑞典公共卫生署的桑格测序法。
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来源期刊
Infection Genetics and Evolution
Infection Genetics and Evolution 医学-传染病学
CiteScore
8.40
自引率
0.00%
发文量
215
审稿时长
82 days
期刊介绍: (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .
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