Evidence map›Paper›PMID 37725594›Full record

ArticlePloS one2023

Shotgun metagenomics captures more microbial diversity than targeted 16S rRNA gene sequencing for field specimens and preserved museum specimens.

Joseph D Madison, Brandon C LaBumbard, Douglas C Woodhams

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Advancing the study of microbial symbionts of amphibians and reptiles.Frontiers in amphibian and reptile science · 2026
    Article
  7. Article
  8. Microbial Evolution and Systematics: Archaea and Bacteria.Progress in molecular and subcellular biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bioinformatics Research in Bacterial Genomics and Metagenomics.Current issues in molecular biology · 2025
    Article
  14. Review
  15. Article
  16. Beneficial perspective onFrontiers in immunology · 2025
    Review
  17. 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

3 authors.

Joseph D MadisonDepartment of Biology, University of Massachusetts Boston, Boston, Massachusetts, United States of America.ORCID 0000-0001-9617-7270
Brandon C LaBumbardDepartment of Biology, University of Massachusetts Boston, Boston, Massachusetts, United States of America.
Douglas C WoodhamsDepartment of Biology, University of Massachusetts Boston, Boston, Massachusetts, United States of America.ORCID 0000-0003-4559-1046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of museum specimens for research in microbial evolutionary ecology remains an under-utilized investigative dimension with important potential. Despite this potential, there remain barriers in methodology and analysis to the wide-spread adoption of museum specimens for such studies. Here, we hypothesized that there would be significant differences in taxonomic prediction and related diversity among sample type (museum or fresh) and sequencing strategy (medium-depth shotgun metagenomic or 16S rRNA gene). We found dramatically higher predicted diversity from shotgun metagenomics when compared to 16S rRNA gene sequencing in museum and fresh samples, with this differential being larger in museum specimens. Broadly confirming these hypotheses, the highest diversity found in fresh samples was with shotgun sequencing using the Rep200 reference inclusive of viruses and microeukaryotes, followed by the WoL reference database. In museum-specimens, community diversity metrics also differed significantly between sequencing strategies, with the alpha-diversity ACE differential being significantly greater than the same comparisons made for fresh specimens. Beta diversity results were more variable, with significance dependent on reference databases used. Taken together, these findings demonstrate important differences in diversity results and prompt important considerations for future experiments and downstream analyses aiming to incorporate microbiome datasets from museum specimens.

Indexed as

MetagenomicsMuseumsGenes, rRNARNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37725594
PMCPMC10508626

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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.