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Greengenes2 enables a shared data universe for microbiome studies

Authors :
Daniel McDonald
Yueyu Jiang
Metin Balaban
Kalen Cantrell
Qiyun Zhu
Antonio Gonzalez
James T. Morton
Giorgia Nicolaou
Donovan H. Parks
Søren Karst
Mads Albertsen
Philip Hugenholtz
Todd DeSantis
Se Jin Song
Andrew Bartko
Aki S. Havulinna
Pekka Jousilahti
Susan Cheng
Mike Inouye
Teemu Niiranen
Mohit Jain
Veikko Salomaa
Leo Lahti
Siavash Mirarab
Rob Knight
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

16S rRNA and shotgun metagenomics studies typically yield different results, usually attributed to biases in PCR amplification of 16S rRNA genes. Here, we introduce Greengenes2 and show that differences in reference phylogeny are more important. 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 in phenotype effect size when analyzed with the same tree.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........3e13e44a7d978e786a639477ca709ceb
Full Text :
https://doi.org/10.1101/2022.12.19.520774