Greengenes2 unifies microbial data in a single reference tree




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

PublisherNATURE PORTFOLIO

2024

Nature Biotechnology

NAT BIOTECHNOL

42

715

718

10

1087-0156

1546-1696

DOIhttps://doi.org/10.1038/s41587-023-01845-1

https://doi.org/10.1038/s41587-023-01845-1

https://research.utu.fi/converis/portal/detail/Publication/180751073



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.


Last updated on 2024-26-11 at 21:56