Applying nanopore sequencing technology in Paracoccidioides sp.: a high-quality DNA isolation method for next-generation genomic studies.

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
Melina Noelia Lorenzini Campos, Ariel Fernando Amadio, José Matías Irazoqui, Raúl Maximiliano Acevedo, Florencia Dinorah Rojas, Luis Hernando Corredor Sanguña, Laura Belén Formichelli, Raúl Horacio Lucero, Gustavo Emilio Giusiano
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引用次数: 0

Abstract

Paracoccidioidomycosis is a severe systemic endemic mycosis caused by Paracoccidioides spp. which mainly affects individuals in Latin America. Progress in Paracoccidioides genomics has been slow, as evidenced by the incomplete reference databases available. Next-generation sequencing is a valuable tool for epidemiological surveillance and genomic characterization. With the ability to sequence long reads without the need for prior amplification, Oxford Nanopore Technology (ONT) offers several advantages, but high-quality and high-quantity DNA samples are required to achieve satisfactory results. Due to the low concentration of Paracoccidioides DNA in clinical samples and inefficient culture isolation methods, DNA extraction can be a significant barrier to genomic studies of this genus. This study proposes a method to obtain a high-coverage de novo genome assembly for Paracoccidioides using an improved DNA extraction method suitable for sequencing with ONT. The assembly obtained was comparable in size to those constructed from available data from Illumina technology. To our knowledge, this is the first genome assembly of Paracoccidioides sp. of such a large size constructed using ONT.

将纳米孔测序技术应用于 Paracoccidioides sp.
副球孢子菌病是由副球孢子菌属引起的一种严重的全身性地方真菌病,主要影响拉丁美洲的个人。副球孢子菌基因组学研究进展缓慢,现有的参考数据库不完整就是明证。下一代测序是流行病学监测和基因组特征描述的重要工具。牛津纳米孔技术(ONT)能够对长读数进行测序,无需事先扩增,因此具有多项优势,但要获得令人满意的结果,需要高质量和高数量的 DNA 样本。由于临床样本中副球孢子菌 DNA 的浓度较低,且培养分离方法效率不高,DNA 提取可能成为该菌属基因组研究的一大障碍。本研究提出了一种方法,利用一种适用于ONT测序的改进型DNA提取方法,获得高覆盖率的副球孢子虫从头基因组组装。所获得的基因组序列在大小上与利用 Illumina 技术的现有数据构建的序列相当。据我们所知,这是首个使用 ONT 技术构建的如此大规模的 Paracoccidioides sp.
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来源期刊
Microbial Genomics
Microbial Genomics Medicine-Epidemiology
CiteScore
6.60
自引率
2.60%
发文量
153
审稿时长
12 weeks
期刊介绍: Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.
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