Evidence map›Paper›PMID 40166373›Full record

ArticleFrontiers in bioinformatics2025

Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level.

Amy S Graham, Fadheela Patel, Francesca Little, Andre van der Kouwe, Mamadou Kaba, Martha J Holmes

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Attenuation ofJournal of microbiology and biotechnology · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amy S GrahamImaging Sciences, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
Fadheela PatelDepartment of Pathology, Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa.
Francesca LittleDepartment of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
Andre van der KouweAthinoula A. Martinos Centre for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
Mamadou Kaba *Department of Pathology, Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa.
Martha J Holmes *Imaging Sciences, Neuroscience Institute, University of Cape Town, Cape Town, South Africa.

Funding

Neuroimaging and gut microbiome markers of development in HIV-exposed uninfected infantsR01HD093578 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI HOLMES, MARTHA, KABA, MAMADOU · 2017 to 2022
$2.9M
Neonatal imaging as an early marker of neurodevelopment and predictor of cognitive performance in infants exposed to HIV and ART in utero and perinatallyR01HD085813 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI LAUGHTON, BARBARA, MEINTJES, ERNESTA MARIA · 2016 to 2020
$2.3M
NICHD NIH HHS R01 HD085813NICHD NIH HHS R01 HD093578
6 · The paper itself

Abstract

Introduction: Short-read amplicon sequencing studies have typically focused on 1-2 variable regions of the 16S rRNA gene. Species-level resolution is limited in these studies, as each variable region enables the characterisation of a different subsection of the microbiome. Although long-read sequencing techniques can take advantage of all 9 variable regions by sequencing the entire 16S rRNA gene, short-read sequencing has remained a commonly used approach in 16S rRNA research. This work assessed the feasibility of accurate species-level resolution and reproducibility using a relatively new sequencing kit and bioinformatics pipeline developed for short-read sequencing of multiple variable regions of the 16S rRNA gene. In addition, we evaluated the potential impact of different sample collection methods on our outcomes. Methods: Using xGen™ 16S Amplicon Panel v2 kits, sequencing of all 9 variable regions of the 16S rRNA gene was carried out on an Illumina MiSeq platform. Mock cells and mock DNA for 8 bacterial species were included as extraction and sequencing controls respectively. Within-run and between-run replicate samples, and pairs of stool and rectal swabs collected at 0-5 weeks from the same infants, were incorporated. Observed relative abundances of each species were compared to theoretical abundances provided by ZymoBIOMICS. Paired Wilcoxon rank sum tests and distance-based intraclass correlation coefficients were used to statistically compare alpha and beta diversity measures, respectively, for pairs of replicates and stool/rectal swab sample pairs. Results: Using multiple variable regions of the 16S ribosomal Ribonucleic Acid (rRNA) gene, we found that we could accurately identify taxa to a species level and obtain highly reproducible results at a species level. Yet, the microbial profiles of stool and rectal swab sample pairs differed substantially despite being collected concurrently from the same infants. Conclusion: This protocol provides an effective means for studying infant gut microbial samples at a species level. However, sample collection approaches need to be accounted for in any downstream analysis.

Indexed as

16S rRNA sequencingmicrobiomemultiple variable regionsshort-readspecies-level

Identifiers

PMID40166373
PMCPMC11955629

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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.