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Correcting for Microbial Blooms in Fecal Samples during Room-Temperature Shipping
Amnon Amir1, Daniel McDonald1, Jose A Navas-Molina1
1Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
Msystems
|March 15, 2017
Summary
Room-temperature storage of microbiome samples can cause bacterial overgrowth, particularly Gammaproteobacteria. A new method, Deblur, identifies and removes these sequences, ensuring accurate microbiome analysis for citizen science and fieldwork.
Area of Science:
- Microbiome research
- Bioinformatics
- Microbial ecology
Background:
- Sterile swabs are common for microbiome sample collection.
- Room-temperature storage can lead to bacterial overgrowth, confusing results.
- Existing preservation methods have limitations and cannot be applied retrospectively.
Purpose of the Study:
- To identify bacterial taxa that grow during room-temperature storage.
- To develop a computational method to correct microbiome data affected by storage conditions.
- To validate the method's effectiveness on real-world datasets.
Main Methods:
- Meta-analysis of microbiome sample storage studies.
- Development and application of the Deblur technique to identify blooming taxa sequences.
- Analysis of American Gut Project (AGP) samples using the Deblur method.
Main Results:
- Consistent identification of specific bacterial taxa, notably Gammaproteobacteria, that bloom at room temperature.
- Deblur effectively identifies and removes sequences from blooming taxa, reducing false positives.
- AGP samples analyzed with Deblur show results consistent with preserved samples.
Conclusions:
- Removing sequences from a few fast-growing taxa is sufficient to correct microbiome profiles.
- The Deblur technique enables accurate microbiome analysis from room-temperature-stored samples.
- This method is crucial for large-scale citizen science and remote fieldwork microbiome studies.

