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优化用于基于纳米孔测序改进细菌和真菌分类的DNA提取方案。

Optimization of a DNA extraction protocol for improving bacterial and fungal classification based on Nanopore sequencing.

作者信息

Soe Thu May, Sawaswong Vorthon, Chanchaem Prangwalai, Klomkliew Pavit, Campbell Barry J, Hirankarn Nattiya, Fothergill Joanne L, Payungporn Sunchai

机构信息

Joint Chulalongkorn University-University of Liverpool Doctoral Program in Biomedical Sciences and Biotechnology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.

Department of Infection Biology & Microbiomes, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, L69 3GE, UK.

出版信息

Access Microbiol. 2024 Oct 7;6(10). doi: 10.1099/acmi.0.000754.v3. eCollection 2024.

Abstract

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 and . Also, a principal coordinates analysis plot by the Bray-Curtis metric showed a significant difference among groups for bacterial (0.033) and fungal (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.

摘要

核糖体RNA基因扩增子测序通常用于评估健康和疾病状态下的微生物群落概况,并记录介入治疗的影响。纳米孔测序很有吸引力,因为它可以在物种水平上提供更精细的分类。然而,需要针对细菌和真菌分析的标记基因优化方案。为了提高分类分辨率,我们开发了基于纳米孔测序的提取和全长扩增子PCR方法。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)、结合珠磨法(MLB)或珠磨法加MetaPolyzyme酶处理(MLBE)。与参考数据相比,在细菌分析中,MLB的细菌门和属在统计学上与其他两种条件有更多差异。在真菌分析中,MLB的子囊菌门显著增加,担子菌门减少,随后未能检测到和。此外,基于Bray-Curtis度量的主坐标分析图显示,细菌(0.033)和真菌(0.012)图谱在组间存在显著差异,突出了了解预处理中存在的偏差的重要性。总体而言,微生物分析和多样性分析表明,对于细菌和真菌,ML和MLBE比MLB更相似;因此,使用这种特定流程,不建议对全基因扩增子测序使用珠磨法。然而,考虑到DNA产量、分类学分类、试剂成本和操作时间,单独使用ML被认为是一种最佳方法。这可能是一项同时进行人类细菌和真菌微生物群落研究的初步概念验证研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c9f/11457918/240e48d495c5/acmi-6-00754-g001.jpg

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