Evidence map›Paper›PMID 39940948›Full record

ArticleInternational journal of molecular sciences2025

Comparison of Lysis and Amplification Methodologies for Optimal 16S rRNA Gene Profiling for Human and Mouse Microbiome Studies.

Farzaneh Rastegari, Mark Driscoll, Jesse D Riordan, Joseph H Nadeau, Jethro S Johnson, George M Weinstock

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Farzaneh RastegariDepartment of Computer Science and Engineering, University of Connecticut, 371 Fairfield Way, Storrs, CT 06269, USA.
Mark DriscollIntus Biosciences, 400 Farmington Ave, Farmington, CT 06032, USA.
Jesse D RiordanDepartment of Anatomy & Cell Biology, Carver College of Medicine, The University of Iowa, Iowa City, IA 52242, USA.
Joseph H NadeauPacific Northwest Research Institute, 720 Broadway, Seattle, WA 98122, USA.
Jethro S JohnsonThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.ORCID 0000-0001-9155-054X
George M WeinstockThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.

Funding

Master regulators of unexplained variation in disease riskR01HG012444 · NHGRI · VAN ANDEL RESEARCH INSTITUTE · PI NADEAU, JOSEPH H., POSPISILIK, JOHN ANDREW · 2021 to 2025
$9.6M
NHGRI NIH HHS R01 HG012444NIH HHS HG01244
6 · The paper itself

Abstract

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.

Indexed as

BacteriaMicrobiotaRNA, Ribosomal, 16SAnimalsDNA, BacterialFecesHumansMicePolymerase Chain ReactionDNA, BacterialRNA, Ribosomal, 16S16S rRNA gene sequencingalkaline-based lysisbead-beating lysisDNA extractionmicrobiomeV1–V3 16S rRNA gene primers

Identifiers

PMID39940948
PMCPMC11818825

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Registered trials

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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.