优化 DNA 提取方案,改进基于纳米孔测序的细菌和真菌分类。

Access microbiology Pub Date : 2024-10-07 eCollection Date: 2024-01-01 DOI:10.1099/acmi.0.000754.v3
May Soe Thu, Vorthon Sawaswong, Prangwalai Chanchaem, Pavit Klomkliew, Barry J Campbell, Nattiya Hirankarn, Joanne L Fothergill, Sunchai Payungporn
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引用次数: 0

摘要

核糖体 RNA 基因扩增片段测序通常用于评估健康和疾病中的微生物组概况,并记录干预治疗的影响。纳米孔测序具有吸引力,因为它能在物种水平上提供更多分类。不过,还需要针对细菌和真菌特征描述的标记基因制定优化方案。为了提高分类分辨率,我们利用纳米孔测序技术开发了基于提取和全长扩增子 PCR 的方法。我们将三种裂解条件应用于模拟微生物群落,包括已知的细菌和真菌物种:单独使用ZymoBIOMICS裂解缓冲液(ML)、结合打珠(MLB)或打珠加MetaPolyzyme酶处理(MLBE)。与参考数据相比,在细菌分析中,MLB 比其他两种条件具有更多不同的细菌门和属。在真菌分析中,MLB 的子囊菌群(Ascomycota)显著增加,而担子菌群(Basidiomycota)则有所减少,随后未能检测到马拉色菌(Malassezia)和隐球菌(Cryptococcus)。此外,根据布雷-柯蒂斯指标绘制的主坐标分析图显示,各组之间的细菌(P=0.033)和真菌(P=0.012)特征存在显著差异,这凸显了了解预处理中存在的偏差的重要性。总体而言,微生物图谱和多样性分析表明,对于细菌和真菌而言,ML 和 MLBE 比 MLB 更为相似;因此,使用这种特定的管道,不建议将打珠法用于全基因扩增片段测序。不过,考虑到 DNA 产量、分类学分类、试剂成本和动手时间,建议将 ML 单独作为一种最佳方法。这可以作为同时进行人类细菌和真菌微生物组研究的初步概念验证研究。
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Optimization of a DNA extraction protocol for improving bacterial and fungal classification based on Nanopore sequencing.

Ribosomal RNA gene amplicon sequencing is commonly used to evaluate microbiome profiles in health and disease and document the impact of interventional treatments. Nanopore sequencing is attractive since it can provide greater classification at the species level. However, optimized protocols to target marker genes for bacterial and fungal profiling are needed. To achieve an increased taxonomic resolution, we developed extraction and full-length amplicon PCR-based approaches using Nanopore sequencing. Three lysis conditions were applied to a mock microbial community, including known bacterial and fungal species: ZymoBIOMICS lysis buffer (ML) alone, incorporating bead-beating (MLB) or bead-beating plus MetaPolyzyme enzymatic treatment (MLBE). In profiling of bacteria in comparison to reference data, MLB had more statistically different bacterial phyla and genera than the other two conditions. In fungal profiling, MLB had a significant increase of Ascomycota and a decline of Basidiomycota, subsequently failing to detect Malassezia and Cryptococcus. Also, a principal coordinates analysis plot by the Bray-Curtis metric showed a significant difference among groups for bacterial (P=0.033) and fungal (P=0.012) profiles, highlighting the importance of understanding the biases present in pretreatment. Overall, microbial profiling and diversity analysis revealed that ML and MLBE are more similar than MLB for both bacteria and fungi; therefore, using this specific pipeline, bead-beating is not recommended for whole gene amplicon sequencing. However, ML alone was suggested as an optimal approach considering DNA yield, taxonomic classification, reagent cost and hands-on time. This could be an initial proof-of-concept study for simultaneous human bacterial and fungal microbiome studies.

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