PICRUSt2-SC: an update to the reference database used for functional prediction within PICRUSt2
Abstract
SummaryPICRUSt2 is a bioinformatic tool that predicts microbial functions in amplicon sequencing data using a database of annotated reference genomes. We have constructed an updated database for PICRUSt2 that has substantially increased the number of bacterial (19,493 to 26,868) and archaeal (406 to 1,002) genomes as well as the number of functional annotations present. The previous PICRUSt2 database relied on many timely and computationally intensive manual processes that made it difficult to update. We constructed a new streamlined process to allow regular upgrades to the PICRUSt2 database on an ongoing basis, and used this process to create a new database, PICRUSt2-SC (Sugar-Coated). Additionally, we have shown that this updated database contains genomes that more closely match study sequences from a range of different environments. The genomes contained in the database therefore better represent these environments and this leads to an improvement in the predicted functional annotations obtained from PICRUSt2. AvailabilityPICRUSt2 source code is freely available at https://github.com/picrust/picrust2 and at https://anaconda.org/bioconda/picrust2. The latest version of PICRUSt2 at the time of writing is also archived: https://doi.org/10.5281/zenodo.15119781. The PICRUSt2-SC database comes pre- installed with PICRUSt2 from version 2.6.0 onwards. Step-by-step instructions for making the updated database are at https://github.com/picrust/picrust2/wiki/Updating-the-PICRUSt2-database. All code used for the analyses and figures in this manuscript is at https://github.com/R-Wright-1/PICRUSt2-SC_application_note and https://doi.org/10.5281/zenodo.15119770.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 60
- FWCI
- 17.93
- Field percentile
- top 1%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PICRUSt2: An improved and customizable approach for metagenome inference
Gavin M. Douglas, Vincent J. Maffei, … Morgan G. I. Langille·bioRxiv·Mar 20, 2020
- Inference based PICRUSt accuracy varies across sample types and functional categories
Shan Sun, Roshonda B. Jones, Anthony A. Fodor·bioRxiv·May 30, 2019
- Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets
Nicholas D. Youngblut, Ruth E. Ley·PeerJPeer-reviewed·Sep 16, 2021
- Arche: An Advanced Flexible Tool for High-throuput Annotation of Functions on Microbial Contigs
Daniel Gonzalo Alonso-Reyes, Virginia Helena Albarracín·bioRxiv·Nov 28, 2022
- IPCO: Inference of Pathways from Co-variance analysis
Mrinmoy Das, Tarini Shankar Ghosh, Ian B. Jeffery·BMC BioinformaticsPeer-reviewed·Feb 18, 2020
- Struo: a pipeline for building custom databases for common metagenome profilers
Jacobo de la Cuesta‐Zuluaga, Ruth E. Ley, Nicholas D. Youngblut·BioinformaticsPeer-reviewed·Nov 26, 2019