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When conducting sequence-based analysis of microbiome samples, it is important to accurately represent the bacterial communities present. The aim of this study was to compare two commercially available DNA isolation and PCR amplification approaches to determine their impact on the taxonomic composition of microbiome samples following 16S rRNA gene sequencing. A well-established 16S rRNA gene profiling approach, which was widely used in the Human Microbiome Project (HMP), was compared with a novel alkaline degenerative technique that utilizes alkaline cell lysis in combination with a degenerate pool of primers for nucleic acid extraction and PCR amplification. When comparing these different approaches for the microbiome profiling of human and mouse fecal samples, we found that the alkaline-based method was able to detect greater taxonomic diversity. An in silico analysis of predicted primer binding against a curated 16S rRNA gene reference database further suggested that this novel approach had the potential to reduce population bias found with traditional methods, thereby offering opportunities for improved microbial community profiling.

Original publication

DOI

10.3390/ijms26031180

Type

Journal

Int j mol sci

Publication Date

29/01/2025

Volume

26

Keywords

16S rRNA gene sequencing, DNA extraction, V1–V3 16S rRNA gene primers, alkaline-based lysis, bead-beating lysis, microbiome, RNA, Ribosomal, 16S, Humans, Animals, Mice, Microbiota, Feces, Bacteria, Polymerase Chain Reaction, DNA, Bacterial, Sequence Analysis, DNA