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 <i>Malassezia</i> and <i>Cryptococcus</i>. Also, a principal coordinates analysis plot by the Bray-Curtis metric showed a significant difference among groups for bacterial (<i>P=</i>0.033) and fungal (<i>P=</i>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.

Authors

Institutions

Publication Details

Journal
Access Microbiology
Published
2024-10-01
DOI
https://doi.org/10.1099/acmi.0.000754.v3
Citations
4
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Pavit Klomkliew, Prangwalai Chanchaem, Barry J. Campbell, Joanne L. Fothergill et al.
4 citations
Access Microbiology
Gut microbiota and health
0.94
article

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

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

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 <i>Malassezia</i> and <i>Cryptococcus</i>. Also, a principal coordinates analysis plot by the Bray-Curtis metric showed a significant difference among groups for bacterial (<i>P=</i>0.033) and fungal (<i>P=</i>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.

Access MicrobiologyVol. 6(10)
University of Liverpool (GB), Chulalongkorn University (TH)
Chulalongkorn University, Thailand Science Research and Innovation, Faculty of Medicine, Chulalongkorn University
Life in Land
Openalex Percentile: Top 25%
Gut microbiota and health
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.