Quantifying and Understanding Well-to-Well Contamination in Microbiome Research

Author:

Minich Jeremiah J.1,Sanders Jon G.2,Amir Amnon2,Humphrey Greg2,Gilbert Jack A.34,Knight Rob2567

Affiliation:

1. Marine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA

2. Department of Pediatrics, University of California, San Diego, La Jolla, California, USA

3. Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA

4. Department of Surgery, University of Chicago, Chicago, Illinois, USA

5. Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California, USA

6. Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA

7. Department of Bioengineering, University of California, San Diego, La Jolla, California, USA

Abstract

Microbiome research has uncovered magnificent biological and chemical stories across nearly all areas of life science, at times creating controversy when findings reveal fantastic descriptions of microbes living and even thriving in what were once thought to be sterile environments. Scientists have refuted many of these claims because of contamination, which has led to robust requirements, including the use of controls, for validating accurate portrayals of microbial communities. In this study, we describe a previously undocumented form of contamination, well-to-well contamination, and show that this sort of contamination primarily occurs during DNA extraction rather than PCR, is highest with plate-based methods compared to single-tube extraction, and occurs at a higher frequency in low-biomass samples. This finding has profound importance in the field, as many current techniques to “decontaminate” a data set simply rely on an assumption that microbial reads found in blanks are contaminants from “outside,” namely, the reagents or consumables.

Funder

NASA JPL

Alfred P. Sloan Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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