Greengenes2 unifies microbial data in a single reference tree

Author:

McDonald Daniel,Jiang Yueyu,Balaban Metin,Cantrell Kalen,Zhu QiyunORCID,Gonzalez Antonio,Morton James T.,Nicolaou Giorgia,Parks Donovan H.ORCID,Karst Søren M.,Albertsen MadsORCID,Hugenholtz PhilipORCID,DeSantis Todd,Song Se Jin,Bartko AndrewORCID,Havulinna Aki S.ORCID,Jousilahti Pekka,Cheng Susan,Inouye Michael,Niiranen Teemu,Jain Mohit,Salomaa VeikkoORCID,Lahti Leo,Mirarab SiavashORCID,Knight RobORCID

Abstract

AbstractStudies 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.

Funder

National Science Foundation

U.S. Department of Health & Human Services | National Institutes of Health

Emerald Foundation 3022

Intramural research program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Springer Science and Business Media LLC

Subject

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

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