Evidence map›Paper›PMID 39814772›Full record

ArticleScientific reports2025

A preliminary evaluation of a fast, low-cost, and high-throughput nucleic acid extraction method for bacterial microbiota profiling in low-microbial biomass samples.

Xiangning Bai, Simon Rayner, Linda Ellevog Skuggen, Kine Kragl Engseth, Pål Marius Bjørnstad, Marianne Dalland, Gregor D Gilfillan, Magnar Bjørås, Andreas Matussek

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiangning Bai *Department of Microbiology, Division of Laboratory Medicine, Oslo University Hospital, 0372, Oslo, Norway. xiangning.bai@ki.se.
Simon Rayner *Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0450, Oslo, Norway.
Linda Ellevog SkuggenDepartment of Microbiology, Division of Laboratory Medicine, Oslo University Hospital, 0372, Oslo, Norway.
Kine Kragl EngsethFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), 1433, Ås, Norway.
Pål Marius BjørnstadDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450, Oslo, Norway.
Marianne DallandDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450, Oslo, Norway.
Gregor D GilfillanDepartment of Medical Genetics, Oslo University Hospital and University of Oslo, 0450, Oslo, Norway.
Magnar BjøråsDepartment of Microbiology, Division of Laboratory Medicine, Oslo University Hospital, 0372, Oslo, Norway.
Andreas MatussekDepartment of Microbiology, Division of Laboratory Medicine, Oslo University Hospital, 0372, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The respiratory tract is colonized with low-density microbial communities, which have been shown to impact human respiratory health through microbiota-host interactions. However, a lack of fast and cost-effective nucleic acid extraction method for low-microbial biomass samples hinders investigation of respiratory microbiota. Here, we performed a pilot study to assess the suitability of the NAxtra nucleic acid extraction protocol for profiling bacterial microbiota in respiratory samples. A small number of nasopharyngeal aspirate (n = 8), nasal swab (n = 8), and saliva samples (n = 8) were collected, nucleic acids were isolated using the NAxtra protocol, and 16 S rRNA gene sequencing was performed to characterize bacterial microbiota, which were compared to the same sample types from previous studies using other protocols. The bacterial composition in nasal and saliva samples were consistent with previous reports. Saliva microbiota was significantly richer than nasal microbiota and varied less among individual samples than nasal microbiota. Bacterial composition in nasal samples was distinct from nasopharyngeal aspirates, but closer to saliva samples. A sequencing depth of 50,000 reads/sample was sufficient for microbiota profiling in low biomass respiratory samples. Our pilot study indicates the potential of the NAxtra protocol for bacterial microbiota characterization of low-microbial biomass samples and supports a more comprehensive study to fully evaluate the value of the NAxtra protocol in microbiota research and clinical diagnostics of respiratory pathogens.

Indexed as

BacteriaMicrobiotaBiomassDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansMaleNasopharynxPilot ProjectsRNA, Ribosomal, 16SSalivaDNA, BacterialRNA, Ribosomal, 16S16S rRNA gene sequencingBacteriaLow-microbial biomassMicrobiotaNucleic acid extractionRespiratory samples

Identifiers

PMID39814772
PMCPMC11736122

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.