Evidence map›Paper›PMID 34335499›Full record

ArticleFrontiers in microbiology2021

Comparative Analysis of 16S rRNA Gene and Metagenome Sequencing in Pediatric Gut Microbiomes.

Danielle Peterson, Kevin S Bonham, Sophie Rowland, Cassandra W Pattanayak, RESONANCE Consortium, Vanja Klepac-Ceraj

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 2 pooled it
9.9field-weighted citation impact, top 1% of its field
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

101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 169 citations in OpenAlex.

  1. Effect of Intensity and Duration of Exercise on Gut Microbiota in Humans: A Systematic Review.International journal of environmental research and public health · 2022
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  19. Extracellular vesicles ofGut microbes · 2025
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41 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Danielle PetersonDepartment of Biological Sciences, Wellesley College, Wellesley, MA, United States.
Kevin S BonhamDepartment of Biological Sciences, Wellesley College, Wellesley, MA, United States.
Sophie RowlandDepartment of Biological Sciences, Wellesley College, Wellesley, MA, United States.
Cassandra W PattanayakDepartment of Mathematics, Quantitative Reasoning Program, and the Quantitative Analysis Institute at Wellesley College, Wellesley, MA, United States.
RESONANCE Consortium
Vanja Klepac-CerajDepartment of Biological Sciences, Wellesley College, Wellesley, MA, United States.
Wellesley College · US

Funding

The Developing Brain: Influences and OutcomesUG3OD023313 · OD · UNIVERSITY OF COLORADO DENVER · PI D'SA, VIREN ANDREW, KOINIS MITCHELL, DAPHNE · 2016 to 2024
$11.6M
NIH HHS UG3 OD023313
6 · The paper itself

Abstract

The colonization of the human gut microbiome begins at birth, and over time, these microbial communities become increasingly complex. Most of what we currently know about the human microbiome, especially in early stages of development, was described using culture-independent sequencing methods that allow us to identify the taxonomic composition of microbial communities using genomic techniques, such as amplicon or shotgun metagenomic sequencing. Each method has distinct tradeoffs, but there has not been a direct comparison of the utility of these methods in stool samples from very young children, which have different features than those of adults. We compared the effects of profiling the human infant gut microbiome with 16S rRNA amplicon vs. shotgun metagenomic sequencing techniques in 338 fecal samples; younger than 15, 15-30, and older than 30 months of age. We demonstrate that observed changes in alpha-diversity and beta-diversity with age occur to similar extents using both profiling methods. We also show that 16S rRNA profiling identified a larger number of genera and we find several genera that are missed or underrepresented by each profiling method. We present the link between alpha diversity and shotgun metagenomic sequencing depth for children of different ages. These findings provide a guide for selecting an appropriate method and sequencing depth for the three studied age groups.

Indexed as

16S rRNA geneamplicon sequencinggut microbiomemetagenomepediatric cohortsequencing depth

Identifiers

PMID34335499
PMCPMC8320171
OpenAlexW3183189600

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.