Evidence map›Paper›PMID 33910647›Full record

ArticleMicrobiome2021

Validation and standardization of DNA extraction and library construction methods for metagenomics-based human fecal microbiome measurements.

Dieter M Tourlousse, Koji Narita, Takamasa Miura, Mitsuo Sakamoto, Akiko Ohashi, Keita Shiina, Masami Matsuda, Daisuke Miura, Mamiko Shimamura, Yoshifumi Ohyama and 25 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Clinical benefits ofFrontiers in nutrition · 2025
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  5. Science advances · 2023
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  18. The Japanese gut microbiome: ecology, uniqueness, and impact on health and disease.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026
    Review
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  20. Article
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

35 authors.

Dieter M TourlousseBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
Koji NaritaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Takamasa MiuraBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Mitsuo SakamotoMicrobe Division/Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan.
Akiko OhashiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
Keita ShiinaBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
Masami MatsudaBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
Daisuke MiuraBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan.
Mamiko ShimamuraBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Yoshifumi OhyamaBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Atsushi YamazoeBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Yoshihito UchinoBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Keishi KameyamaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Shingo AriokaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Jiro KataokaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Takayoshi HisadaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Kazuyuki FujiiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Shunsuke TakahashiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Miho KuroiwaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Masatomo RokushimaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Mitsue NishiyamaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Yoshiki TanakaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Takuya FuchikamiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Hitomi AokiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Satoshi KiraJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Ryo KoyanagiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Takeshi NaitoJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Morie NishiwakiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Hirotaka KumagaiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Mikiko KondaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Ken KasaharaJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan.
Moriya OhkumaMicrobe Division/Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan.
Hiroko KawasakiBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, 292-0818, Japan.
Yuji SekiguchiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8566, Japan. y.sekiguchi@aist.go.jp.ORCID 0000-0002-1264-0617
Jun TerauchiJapan Microbiome Consortium (JMBC), Osaka, Osaka, 530-0011, Japan. terauchi@ono.co.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValidation and standardization of methodologies for microbial community measurements by high-throughput sequencing are needed to support human microbiome research and its industrialization. This study set out to establish standards-based solutions to improve the accuracy and reproducibility of metagenomics-based microbiome profiling of human fecal samples.

resultsIn the first phase, we performed a head-to-head comparison of a wide range of protocols for DNA extraction and sequencing library construction using defined mock communities, to identify performant protocols and pinpoint sources of inaccuracy in quantification. In the second phase, we validated performant protocols with respect to their variability of measurement results within a single laboratory (that is, intermediate precision) as well as interlaboratory transferability and reproducibility through an industry-based collaborative study. We further ascertained the performance of our recommended protocols in the context of a community-wide interlaboratory study (that is, the MOSAIC Standards Challenge). Finally, we defined performance metrics to provide best practice guidance for improving measurement consistency across methods and laboratories.

conclusionsThe validated protocols and methodological guidance for DNA extraction and library construction provided in this study expand current best practices for metagenomic analyses of human fecal microbiota. Uptake of our protocols and guidelines will improve the accuracy and comparability of metagenomics-based studies of the human microbiome, thereby facilitating development and commercialization of human microbiome-based products. Video Abstract.

Indexed as

MetagenomicsMicrobiotaDNAHumansReference StandardsReproducibility of ResultsSequence Analysis, DNADNAAccuracy, reproducibility, and comparabilityDNA extractionGut microbiotaHuman microbiomeIndustrializationLibrary constructionMetagenomicsStandardization

Identifiers

PMID33910647
PMCPMC8082873

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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.