Evidence map›Paper›PMID 36369227›Full record

ArticleScientific data2022

Benchmarking second and third-generation sequencing platforms for microbial metagenomics.

Victoria Meslier, Benoit Quinquis, Kévin Da Silva, Florian Plaza Oñate, Nicolas Pons, Hugo Roume, Mircea Podar, Mathieu Almeida

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Trial
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  10. Review
  11. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
  17. Article
  18. Review
  19. Article
  20. Review
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.

Victoria MeslierUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.ORCID 0000-0003-2699-0092
Benoit QuinquisUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.ORCID 0000-0002-7573-969X
Kévin Da SilvaUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.
Florian Plaza OñateUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.ORCID 0000-0001-6036-0989
Nicolas PonsUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.
Hugo RoumeUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France.
Mircea PodarBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA. podarm@ornl.gov.ORCID 0000-0003-2776-0205
Mathieu AlmeidaUniversité Paris-Saclay, INRAE, MetaGenoPolis, 78350, Jouy-en-Josas, France. mathieu.almeida@inrae.fr.ORCID 0000-0003-4971-0049

Funding

Culturing of the uncultured: reverse genomics and multispecies consortia in oralR01DE024463 · NIDCR · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI JOULINE, IGOR B., LEYS, EUGENE J · 2014 to 2018
$8.2M
NIDCR NIH HHS R01 DE024463
6 · The paper itself

Abstract

Shotgun metagenomic sequencing is a common approach for studying the taxonomic diversity and metabolic potential of complex microbial communities. Current methods primarily use second generation short read sequencing, yet advances in third generation long read technologies provide opportunities to overcome some of the limitations of short read sequencing. Here, we compared seven platforms, encompassing second generation sequencers (Illumina HiSeq 300, MGI DNBSEQ-G400 and DNBSEQ-T7, ThermoFisher Ion GeneStudio S5 and Ion Proton P1) and third generation sequencers (Oxford Nanopore Technologies MinION R9 and Pacific Biosciences Sequel II). We constructed three uneven synthetic microbial communities composed of up to 87 genomic microbial strains DNAs per mock, spanning 29 bacterial and archaeal phyla, and representing the most complex and diverse synthetic communities used for sequencing technology comparisons. Our results demonstrate that third generation sequencing have advantages over second generation platforms in analyzing complex microbial communities, but require careful sequencing library preparation for optimal quantitative metagenomic analysis. Our sequencing data also provides a valuable resource for testing and benchmarking bioinformatics software for metagenomics.

Indexed as

MetagenomicsMicrobiotaHigh-Throughput Nucleotide SequencingMetagenomeSequence Analysis, DNA

Identifiers

PMID36369227
PMCPMC9652401

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.