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

放大器 生物 DNA提取 纳米孔测序 计算生物学 基因组 焦测序 扩增子测序 DNA测序 微生物学 细菌 16S核糖体RNA 聚合酶链反应 遗传学 基因
作者
May Soe Thu,Vorthon Sawaswong,Prangwalai Chanchaem,Pavit Klomkliew,Barry J. Campbell,Nattiya Hirankarn,Joanne L. Fothergill,Sunchai Payungporn
出处
期刊:Access microbiology [Microbiology Society]
卷期号:6 (10) 被引量:7
标识
DOI:10.1099/acmi.0.000754.v3
摘要

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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