Evidence map›Paper›PMID 33627512›Full record

ArticlemSphere2021

Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing.

Isabel Abellan-Schneyder, Monica S Matchado, Sandra Reitmeier, Alina Sommer, Zeno Sewald, Jan Baumbach, Markus List, Klaus Neuhaus

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
263citing papers in PubMed, 4 pooled it
21.7field-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

263 citing papers in PubMed, 4 syntheses or guidelines pooled it, 436 citations in OpenAlex.

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  8. High-yield gamma-aminobutyric acid synthesis by wild-type Levilactobacillus brevis strains isolated from traditional Iranian Kashk.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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203 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

8 authors at 3 institutions in 2 countries.

Isabel Abellan-SchneyderCore Facility Microbiome, ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany.
Monica S MatchadoChair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.ORCID 0000-0002-2058-7924
Sandra ReitmeierCore Facility Microbiome, ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany.
Alina SommerCore Facility Microbiome, ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany.
Zeno SewaldCore Facility Microbiome, ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany.
Jan BaumbachChair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.
Markus ListChair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.ORCID 0000-0002-0941-4168
Klaus NeuhausCore Facility Microbiome, ZIEL-Institute for Food & Health, Technische Universität München, Freising, Germany neuhaus@tum.de.ORCID 0000-0002-6020-2814
Leibniz-Institute for Food Systems Biology at the Technical University of Munich · DETechnical University of Munich · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short-amplicon 16S rRNA gene sequencing is currently the method of choice for studies investigating microbiomes. However, comparative studies on differences in procedures are scarce. We sequenced human stool samples and mock communities with increasing complexity using a variety of commonly used protocols. Short amplicons targeting different variable regions (V-regions) or ranges thereof (V1-V2, V1-V3, V3-V4, V4, V4-V5, V6-V8, and V7-V9) were investigated for differences in the composition outcome due to primer choices. Next, the influence of clustering (operational taxonomic units [OTUs], zero-radius OTUs [zOTUs], and amplicon sequence variants [ASVs]), different databases (GreenGenes, the Ribosomal Database Project, Silva, the genomic-based 16S rRNA Database, and The All-Species Living Tree), and bioinformatic settings on taxonomic assignment were also investigated. We present a systematic comparison across all typically used V-regions using well-established primers. While it is known that the primer choice has a significant influence on the resulting microbial composition, we show that microbial profiles generated using different primer pairs need independent validation of performance. Further, comparing data sets across V-regions using different databases might be misleading due to differences in nomenclature (e.g.,

Indexed as

Computational BiologyDNA, BacterialDNA PrimersFecesGastrointestinal MicrobiomeGenetic VariationHigh-Throughput Nucleotide SequencingHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA PrimersRNA, Ribosomal, 16S16S rRNA gene sequencingamplicon sequencingbioinformatic settingsclusteringdatabasesmicrobiomemock communitiesvariable regions

Identifiers

PMID33627512
PMCPMC8544895
OpenAlexW3132450255

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.