Title |
Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
|
---|---|
Published in |
Frontiers in Microbiology, December 2016
|
DOI | 10.3389/fmicb.2016.01949 |
Pubmed ID | |
Authors |
Emily B. Graham, Alex R. Crump, Charles T. Resch, Sarah Fansler, Evan Arntzen, David W. Kennedy, Jim K. Fredrickson, James C. Stegen |
Abstract |
Community assembly processes generate shifts in species abundances that influence ecosystem cycling of carbon and nutrients, yet our understanding of assembly remains largely separate from ecosystem-level functioning. Here, we investigate relationships between assembly and changes in microbial metabolism across space and time in hyporheic microbial communities. We pair sampling of two habitat types (i.e., attached and planktonic) through seasonal and sub-hourly hydrologic fluctuation with null modeling and temporally explicit multivariate statistics. We demonstrate that multiple selective pressures-imposed by sediment and porewater physicochemistry-integrate to generate changes in microbial community composition at distinct timescales among habitat types. These changes in composition are reflective of contrasting associations of Betaproteobacteria and Thaumarchaeota with ecological selection and with seasonal changes in microbial metabolism. We present a conceptual model based on our results in which metabolism increases when oscillating selective pressures oppose temporally stable selective pressures. Our conceptual model is pertinent to both macrobial and microbial systems experiencing multiple selective pressures and presents an avenue for assimilating community assembly processes into predictions of ecosystem-level functioning. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 42% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 75% |
Members of the public | 3 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 115 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 22% |
Researcher | 18 | 16% |
Student > Master | 16 | 14% |
Student > Doctoral Student | 9 | 8% |
Student > Bachelor | 8 | 7% |
Other | 20 | 17% |
Unknown | 19 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 28% |
Environmental Science | 29 | 25% |
Earth and Planetary Sciences | 10 | 9% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Engineering | 3 | 3% |
Other | 9 | 8% |
Unknown | 26 | 22% |