Greengenes2 enables a shared data universe for microbiome studies

McDonald, D.; Jiang, Y.; Balaban, M.; Cantrell, K.; Zhu, Q.; Gonzalez, A.; Morton, J. T.; Nicolaou, G.; Parks, D.; Karst, S. M.; Albertsen, M.; Hugenholtz, P.; DeSantis, T.; Mirarab, S.; Knight, R.

doi:10.1101/2022.12.19.520774

bioRxiv · 10.1101/2022.12.19.520774

Greengenes2 enables a shared data universe for microbiome studies

McDonald, D.·Jiang, Y.·Balaban, M.·Cantrell, K.·Zhu, Q.·Gonzalez, A.·Morton, J. T.·Nicolaou, G.·Parks, D.·Karst, S. M.·Albertsen, M.·Hugenholtz, P.·DeSantis, T.·Mirarab, S.·Knight, R.

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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.

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McDonald, D., Jiang, Y., Balaban, M., Cantrell, K., Zhu, Q., Gonzalez, A., Morton, J. T., Nicolaou, G., Parks, D., Karst, S. M., Albertsen, M., Hugenholtz, P., DeSantis, T., Mirarab, S., Knight, R.. 2022-12-20. Greengenes2 enables a shared data universe for microbiome studies. https://doi.org/10.1101/2022.12.19.520774

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