Dataset: Population changes in Halobacteriovorax cultured with protist & prey

Final no updates expectedDOI: 10.26008/1912/bco-dmo.880924.1Version 1 (2022-09-22)Dataset Type:experimental

Principal Investigator: Henry Neal Williams (Florida A&M University)

Co-Principal Investigator: Huan Chen (Florida State University - National High Magnetic Field Lab)

Co-Principal Investigator: Ahkinyala Cobb-Abdullah (Virginia Union University)

Co-Principal Investigator: Sven A. Kranz (Florida State University)

Co-Principal Investigator: Michael R. Stukel (Florida State University)

Contact: Jia Xue (Florida A&M University)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Project: Excellence in Research: Assessing the Control by Multiple Micropredators on Bacterial Communities in Estuarine Environments and Characterization of Prey Lysis Products Resulting from Each Predator (Predators of bacteria)


Abstract

Here, we investigate the growth trajectory and predation dynamics of protists, and HBx micro-predators in co-culture with a common prey, V. parahaemolyticus, in a time-series study in marine water microcosms. The microcosms were established with water samples collected from the Apalachicola Bay in northwest Florida, USA and amended with a suspension of prey bacteria. Samples were taken at a high temporal resolution (3-hour intervals for 5 days) to capture detailed measurements and changes in the...

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These data were published in Williams et al. (2016): Figs 1 and 3.

Data have been published “as is”. Final review by the data submitter was not received after it was imported into the BCO-DMO data system. There were no outstanding questions


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Results

Williams, H. N., Lymperopoulou, D. S., Athar, R., Chauhan, A., Dickerson, T. L., Chen, H., Laws, E., Berhane, T.-K., Flowers, A. R., Bradley, N., Young, S., Blackwood, D., Murray, J., Mustapha, O., Blackwell, C., Tung, Y., & Noble, R. T. (2015). Halobacteriovorax, an underestimated predator on bacteria: potential impact relative to viruses on bacterial mortality. The ISME Journal, 10(2), 491–499. https://doi.org/10.1038/ismej.2015.129
Methods

Euringer, K., & Lueders, T. (2008). An optimised PCR/T-RFLP fingerprinting approach for the investigation of protistan communities in groundwater environments. Journal of Microbiological Methods, 75(2), 262–268. https://doi.org/10.1016/j.mimet.2008.06.012
Methods

Nordstrom, J. L., Vickery, M. C. L., Blackstone, G. M., Murray, S. L., & DePaola, A. (2007). Development of a Multiplex Real-Time PCR Assay with an Internal Amplification Control for the Detection of Total and Pathogenic Vibrio parahaemolyticus Bacteria in Oysters. Applied and Environmental Microbiology, 73(18), 5840–5847. https://doi.org/10.1128/aem.00460-07
Methods

Staley, C., Gordon, K. V., Schoen, M. E., & Harwood, V. J. (2012). Performance of Two Quantitative PCR Methods for Microbial Source Tracking of Human Sewage and Implications for Microbial Risk Assessment in Recreational Waters. Applied and Environmental Microbiology, 78(20), 7317–7326. https://doi.org/10.1128/aem.01430-12
Methods

Xue, J., & Feng, Y. (2019). Comparison of microbial source tracking efficacy for detection of cattle fecal contamination by quantitative PCR. Science of The Total Environment, 686, 1104–1112. https://doi.org/10.1016/j.scitotenv.2019.06.091