Center for Biofilm Engineering (CBE)

Permanent URI for this communityhttps://scholarworks.montana.edu/handle/1/9334

At the Center for Biofilm Engineering (CBE), multidisciplinary research teams develop beneficial uses for microbial biofilms and find solutions to industrially relevant biofilm problems. The CBE was established at Montana State University, Bozeman, in 1990 as a National Science Foundation Engineering Research Center. As part of the MSU College of Engineering, the CBE gives students a chance to get a head start on their careers by working on research teams led by world-recognized leaders in the biofilm field.

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Natural bacterial communities serve as quantitative geochemical biosensors
(2015-03) Smith, Mark B.; Rocha, Andrea M.; Smillie, C. S.; Olesen, S. W.; Paradis, C.; Wu, Liyou; Campbell, J. H.; Fortney, J. L.; Mehlhorn, T. L.; Lowe, K. A.; Earle, J. E.; Phillips, J.; Techtmann, S. M.; Joyner, D. C.; Elias, Dwayne A.; Bailey, K. L.; Hurt, R. A. Jr.; Preheim, S. P.; Sanders, M. C.; Yang, Joy; Mueller, M. A.; Brooks, S.; Watson, David B.; Zhang, Ping; He, Zhili; Dubinsky, E. A.; Adams, P. D.; Arkin, Adam P.; Fields, Matthew W.; Zhou, Jizhong; Alm, E. J.; Hazen, Terry C.
Biological sensors can be engineered to measure a wide range of environmental conditions. Here we show that statistical analysis of DNA from natural microbial communities can be used to accurately identify environmental contaminants, including uranium and nitrate at a nuclear waste site. In addition to contamination, sequence data from the 16S rRNA gene alone can quantitatively predict a rich catalogue of 26 geochemical features collected from 93 wells with highly differing geochemistry characteristics. We extend this approach to identify sites contaminated with hydrocarbons from the Deepwater Horizon oil spill, finding that altered bacterial communities encode a memory of prior contamination, even after the contaminants themselves have been fully degraded. We show that the bacterial strains that are most useful for detecting oil and uranium are known to interact with these substrates, indicating that this statistical approach uncovers ecologically meaningful interactions consistent with previous experimental observations. Future efforts should focus on evaluating the geographical generalizability of these associations. Taken as a whole, these results indicate that ubiquitous, natural bacterial communities can be used as in situ environmental sensors that respond to and capture perturbations caused by human impacts. These in situ biosensors rely on environmental selection rather than directed engineering, and so this approach could be rapidly deployed and scaled as sequencing technology continues to become faster, simpler, and less expensive. IMPORTANCE Here we show that DNA from natural bacterial communities can be used as a quantitative biosensor to accurately distinguish unpolluted sites from those contaminated with uranium, nitrate, or oil. These results indicate that bacterial communities can be used as environmental sensors that respond to and capture perturbations caused by human impacts.