Evidence map›Paper›PMID 35234490›Full record

ArticleMicrobiology spectrum2022

Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements.

Dieter M Tourlousse, Koji Narita, Takamasa Miura, Akiko Ohashi, Masami Matsuda, Yoshifumi Ohyama, Mamiko Shimamura, Masataka Furukawa, Ken Kasahara, Keishi Kameyama and 10 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Draft genome sequences of four strains ofMicrobiology resource announcements · 2026
    Article
  2. Extensive library ofMicrobiology spectrum · 2026
    Article
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  19. Assessment of metagenomic workflows using a newly constructed human gut microbiome mock community.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  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

20 authors.

Dieter M TourlousseBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.ORCID 0000-0002-5177-5215
Koji NaritaJapan Microbiome Consortium (JMBC), Osaka, Japan.
Takamasa MiuraBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.
Akiko OhashiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Masami MatsudaBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Yoshifumi OhyamaBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.
Mamiko ShimamuraBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.
Masataka FurukawaBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.
Ken KasaharaJapan Microbiome Consortium (JMBC), Osaka, Japan.
Keishi KameyamaJapan Microbiome Consortium (JMBC), Osaka, Japan.
Sakae SaitoTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Maki GotoTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Ritsuko ShimizuTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Riko MishimaDepartment of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, Nishi-ku, Fukuoka, Japan.
Jiro NakayamaBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.
Koji HosomiLaboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research, and Laboratory of Gut Environmental System, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki, Osaka, Japan.
Jun KunisawaLaboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research, and Laboratory of Gut Environmental System, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Ibaraki, Osaka, Japan.
Jun TerauchiJapan Microbiome Consortium (JMBC), Osaka, Japan.
Yuji SekiguchiBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.ORCID 0000-0002-1264-0617
Hiroko KawasakiBiological Resource Center, National Institute of Technology and Evaluation (NITE), Kisarazu, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardization and quality assurance of microbiome community analysis by high-throughput DNA sequencing require widely accessible and well-characterized reference materials. Here, we report on newly developed DNA and whole-cell mock communities to serve as control reagents for human gut microbiota measurements by shotgun metagenomics and 16S rRNA gene amplicon sequencing. The mock communities were formulated as near-even blends of up to 20 bacterial species prevalent in the human gut, span a wide range of genomic guanine-cytosine (GC) contents, and include multiple strains with Gram-positive type cell walls. Through a collaborative study, we carefully characterized the mock communities by shotgun metagenomics, using previously developed standardized protocols for DNA extraction and sequencing library construction. Further, we validated fitness of the mock communities for revealing technically meaningful differences among protocols for DNA extraction and metagenome/16S rRNA gene amplicon library construction. Finally, we used the mock communities to reveal varying performance of metagenome-based taxonomic profilers and the impact of trimming and filtering of sequencing reads on observed species profiles. The latter showed that aggressive preprocessing of reads may result in substantial GC-dependent bias and should thus be carefully evaluated to minimize unintended effects on species abundances. Taken together, the mock communities are expected to support a myriad of applications that rely on well-characterized control reagents, ranging from evaluation and optimization of methods to assessment of reproducibility in interlaboratory studies and routine quality control.

Indexed as

MicrobiotaDNAHigh-Throughput Nucleotide SequencingHumansIndicators and ReagentsMetagenomicsReproducibility of ResultsRNA, Ribosomal, 16SSequence Analysis, DNADNAIndicators and ReagentsRNA, Ribosomal, 16Scontrol reagentshuman microbiomemetagenomicsstandards

Identifiers

PMID35234490
PMCPMC8941912

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.