Ecology and Evolution

Predicting the current and future health of complex microbial communities

Microbial communities influence the cycling of key nutrients including carbon, nitrogen, and sulfur. These cycles are tightly linked to the health of the planet, from greenhouse gas emissions to soil fertility. As anthropogenic disturbance continues to modify the natural environment, quantitative tools are critically needed in order to characterize the current state and predict the future health of these complex communities. In order to meet these demands, we are developing quantitative metrics of ‘health’ of a microbial community. We would like to understand, both biotic and abiotic factors, that are predictive of current and future health of a complex microbial community. Additionally, we aim to decipher the relationship between biodiversity, resistance (ability to maintain functional activity state in face of stress), resilience (ability to recover functional activity state after stressful perturbation), and adaptive capacity (ability to adopt new functional activity states in a new environment) of a microbial community? We pursue these studies by using microbial communities from Oak Ridge Environmental Field Research site and Fluidized Bed Reactors or FBRs. FBRs allow retention of attached populations (thereby retaining non-growth populations and system adaptive capacity, provide non-destructive sampling and can mimic rapid geochemical transitions (e.g. providing for short or prolonged periods of stress). Therefore, FBRs provide excellent system to study health of microbial communities.

Team

Publications

Brooks, Aaron N., Serdar Turkarslan, Karlyn D. Beer, Fang Yin Lo, and Nitin S. Baliga. “Adaptation of Cells to New Environments.” Wiley Interdisciplinary Reviews. Systems Biology and Medicine 3, no. 5 (October 2011): 544–61. https://doi.org/10.1002/wsbm.136. Cite
Turkarslan, Serdar, David J. Reiss, Goodwin Gibbins, Wan Lin Su, Min Pan, J. Christopher Bare, Christopher L. Plaisier, and Nitin S. Baliga. “Niche Adaptation by Expansion and Reprogramming of General Transcription Factors.” Molecular Systems Biology 7 (2011): 554. https://doi.org/10.1038/msb.2011.87. Cite
Hillesland, Kristina L., Sujung Lim, Jason J. Flowers, Serdar Turkarslan, Nicolas Pinel, Grant M. Zane, Nicholas Elliott, et al. “Erosion of Functional Independence Early in the Evolution of a Microbial Mutualism.” Proceedings of the National Academy of Sciences of the United States of America 111, no. 41 (October 14, 2014): 14822–27. https://doi.org/10.1073/pnas.1407986111. Cite
Thompson, Anne W., Matthew J. Crow, Brian Wadey, Christina Arens, Serdar Turkarslan, Sergey Stolyar, Nicholas Elliott, et al. “A Method to Analyze, Sort, and Retain Viability of Obligate Anaerobic Microorganisms from Complex Microbial Communities.” Journal of Microbiological Methods 117 (October 2015): 74–77. https://doi.org/10.1016/j.mimet.2015.07.009. Cite
Beer, Karlyn D., Elisabeth J. Wurtmann, Nicolas Pinel, and Nitin S. Baliga. “Model Organisms Retain an ‘Ecological Memory’ of Complex Ecologically Relevant Environmental Variation.” Applied and Environmental Microbiology 80, no. 6 (March 2014): 1821–31. https://doi.org/10.1128/AEM.03280-13. Cite

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