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Greengenes2 unifies microbial data in a single reference tree




TekijätMcDonald 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

KustantajaNATURE PORTFOLIO

Julkaisuvuosi2024

JournalNature Biotechnology

Lehden akronyymiNAT BIOTECHNOL

Vuosikerta42

Aloitussivu715

Lopetussivu718

Sivujen määrä10

ISSN1087-0156

eISSN1546-1696

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

Verkko-osoitehttps://doi.org/10.1038/s41587-023-01845-1

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/180751073


Tiivistelmä

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.


Ladattava julkaisu

This is an electronic reprint of the original article.
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Last updated on 2024-26-11 at 21:56