Evidence map›Paper›PMID 30082706›Full record

ArticleNature communications2018

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis.

Simon A Hardwick, Wendy Y Chen, Ted Wong, Bindu S Kanakamedala, Ira W Deveson, Sarah E Ongley, Nadia S Santini, Esteban Marcellin, Martin A Smith, Lars K Nielsen and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Quantitative metagenomics using a portable protocol.Applied and environmental microbiology · 2026
    Article
  4. Review
  5. Design, processing, and modeling for longitudinal multiomics microbiome data.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 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

13 authors.

Simon A HardwickGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Wendy Y ChenGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Ted WongGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Bindu S KanakamedalaGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Ira W DevesonGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.
Sarah E OngleySchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, 2052, NSW, Australia.
Nadia S SantiniCentre for Marine Bioinnovation UNSW Sydney, Sydney, 2052, NSW, Australia.
Esteban MarcellinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, 4072, Queensland, Australia.
Martin A SmithGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia.ORCID http://orcid.org/0000-0003-2259-1713
Lars K NielsenAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, 4072, Queensland, Australia.
Catherine E LovelockSchool of Biological Sciences, The University of Queensland, Brisbane, 4072, QLD, Australia.
Brett A NeilanSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, 2052, NSW, Australia.
Tim R MercerGarvan Institute of Medical Research, Sydney, 2010, NSW, Australia. t.mercer@garvan.org.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of microbial communities, combined with technical biases in next-generation sequencing, pose a challenge to metagenomic analysis. Here, we develop a set of internal DNA standards, termed "sequins" (sequencing spike-ins), that together constitute a synthetic community of artificial microbial genomes. Sequins are added to environmental DNA samples prior to library preparation, and undergo concurrent sequencing with the accompanying sample. We validate the performance of sequins by comparison to mock microbial communities, and demonstrate their use in the analysis of real metagenome samples. We show how sequins can be used to measure fold change differences in the size and structure of accompanying microbial communities, and perform quantitative normalization between samples. We further illustrate how sequins can be used to benchmark and optimize new methods, including nanopore long-read sequencing technology. We provide metagenome sequins, along with associated data sets, protocols, and an accompanying software toolkit, as reference standards to aid in metagenomic studies.

Indexed as

MetagenomeMetagenomicsSequence Analysis, DNADNA, BacterialGene LibraryGenome, BacterialHigh-Throughput Nucleotide SequencingModels, BiologicalNanoporesPhylogenyReference StandardsReproducibility of ResultsSoftwareDNA, Bacterial

Identifiers

PMID30082706
PMCPMC6078961

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.