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Greengenes2 unifies microbial data in a single reference tree

  • Daniel McDonald
  • , Yueyu Jiang
  • , Metin Balaban
  • , Kalen Cantrell
  • , Qiyun Zhu
  • , Antonio Gonzalez
  • , James T. Morton
  • , Giorgia Nicolaou
  • , Donovan H. Parks
  • , Søren M. Karst
  • , Mads Albertsen
  • , Philip Hugenholtz
  • , Todd DeSantis
  • , Se Jin Song
  • , Andrew Bartko
  • , Aki S. Havulinna
  • , Pekka Jousilahti
  • , Susan Cheng
  • , Michael Inouye
  • , Teemu Niiranen
  • Mohit Jain, Veikko Salomaa, Leo Lahti, Siavash Mirarab, Rob Knight

Research output: Contribution to journalArticlepeer-review

Abstract

Studies using 16S rRNA and shotgun metagenomics typically yield different results, usually attributed to PCR amplification biases. We introduce Greengenes2, a reference tree that unifies genomic and 16S rRNA databases in a consistent, integrated resource. By inserting sequences into a whole-genome phylogeny, we show that 16S rRNA and shotgun metagenomic data generated from the same samples agree in principal coordinates space, taxonomy and phenotype effect size when analyzed with the same tree.

Original languageEnglish (US)
Pages (from-to)715-718
Number of pages4
JournalNature Biotechnology
Volume42
Issue number5
DOIs
StatePublished - May 2024

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Biomedical Engineering
  • Molecular Medicine

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