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

AI Article Synopsis

  • Ribosomal RNA gene amplicon sequencing is used to analyze microbiomes in health and disease, with Nanopore sequencing offering better species-level classification but needing optimized protocols.
  • Different extraction methods (with and without bead-beating) were tested on a mock microbial community, revealing that bead-beating (MLB) provided the most diverse bacterial profiles and affected fungal composition significantly.
  • The study suggests that simpler lysis conditions (ML) may be optimal for DNA yield and taxonomic accuracy, laying the groundwork for future combined bacterial and fungal microbiome research.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457918PMC
http://dx.doi.org/10.1099/acmi.0.000754.v3DOI Listing

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