Evidence map›Paper›PMID 34246242›Full record

ArticleBMC genomics2021

Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1-V2 and V3-V4 primer sets.

Shoichiro Kameoka, Daisuke Motooka, Satoshi Watanabe, Ryuichi Kubo, Nicolas Jung, Yuki Midorikawa, Natsuko O Shinozaki, Yu Sawai, Aya K Takeda, Shota Nakamura

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  6. Heat-killedCurrent research in food science · 2026
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10 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

10 authors at 2 institutions in 1 country.

Shoichiro KameokaDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Daisuke MotookaDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Satoshi WatanabeCykinso, Inc. Shibuya, Tokyo, Japan.
Ryuichi KuboCykinso, Inc. Shibuya, Tokyo, Japan.
Nicolas JungDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Yuki MidorikawaCykinso, Inc. Shibuya, Tokyo, Japan.
Natsuko O ShinozakiCykinso, Inc. Shibuya, Tokyo, Japan.
Yu SawaiCykinso, Inc. Shibuya, Tokyo, Japan.
Aya K TakedaCykinso, Inc. Shibuya, Tokyo, Japan.
Shota NakamuraDepartment of Infection Metagenomics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan. nshota@gen-info.osaka-u.ac.jp.
Shibuya (Japan) · JPOsaka University · JP

Funding

Japan Agency for Medical Research and Development JP18gm1010005Ministry of Education, Culture, Sports, Science and Technology 18K08431Ministry of Internal Affairs and Communications 172107106
6 · The paper itself

Abstract

background16S rRNA gene amplicon sequencing (16S analysis) is widely used to analyze microbiota with next-generation sequencing technologies. Here, we compared fecal 16S analysis data from 192 Japanese volunteers using the modified V1-V2 (V12) and the standard V3-V4 primer (V34) sets to optimize the gut microbiota analysis protocol.

resultsQIIME1 and QIIME2 analysis revealed a higher number of unclassified representative sequences in the V34 data than in the V12 data. The comparison of bacterial composition demonstrated that at the phylum level, Actinobacteria and Verrucomicrobia were detected at higher levels with V34 than with V12. Among these phyla, we observed higher relative compositions of Bifidobacterium and Akkermansia with V34. To estimate the actual abundance, we performed quantitative real-time polymerase chain reaction (qPCR) assays for Akkermansia and Bifidobacterium. We found that the abundance of Akkermansia as detected by qPCR was close to that in V12 data, but was markedly lower than that in V34 data. The abundance of Bifidobacterium detected by qPCR was higher than that in V12 and V34 data.

conclusionsThese results indicate that the bacterial composition derived from the V34 region might differ from the actual abundance for specific gut bacteria. We conclude that the use of the modified V12 primer set is more desirable in the 16S analysis of the Japanese gut microbiota.

Indexed as

Gastrointestinal MicrobiomeBenchmarkingGenes, rRNAHigh-Throughput Nucleotide SequencingHumansJapanRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAMicrobiotaNext-generation sequencing

Identifiers

PMID34246242
PMCPMC8272389
OpenAlexW3182601255

What Socratic 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 Socratic graph.