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

PLoS One. 2023 Sep 19;18(9):e0291540. doi: 10.1371/journal.pone.0291540. eCollection 2023.

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Benchmarking
  • Genes, rRNA
  • Metagenomics*
  • Museums*
  • RNA, Ribosomal, 16S / genetics

Substances

  • RNA, Ribosomal, 16S

Grants and funding

JDM is supported by the NSF Postdoctoral Research Fellowships in Biology Program (Award 1907311; www.nsf.gov) and DCW by NSF Career and Infrastructure Awards (Award IOS-845634 and BII 2120084; www.nsf.gov). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NSF. NSF had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.