Construction of two ureolytic model organisms for the study of microbially induced calcium carbonate precipitation
Introduction
Microbially induced calcium carbonate precipitation (MICP) is an important process in many engineered and natural systems including: geologic carbon sequestration, radionuclide remediation, soil stabilization and permeability manipulation (Cunningham et al., 2013, De Muynck et al., 2010, Ferris et al., 1996, Fujita et al., 2000, Lauchnor et al., 2013, Phillips et al., 2013, Whiffin et al., 2007). Natural systems, including the earth's global carbon cycle and ocean chemistry, have been affected by bacterial precipitation of calcium carbonate (Riding and Liang, 2005). Microbial carbonate sediments, including those produced by biofilms, are present throughout the geologic record and are widely distributed, making them important for understanding global carbon cycling (Riding, 2000, Vasconcelos et al., 1995). The medical community is also interested in MICP in the context of kidney stones, and mineral formation in ureteral stents and catheters (Morris et al., 1999). Even with the extensive body of literature and interest in MICP, specific mechanisms and implications of how microbes induce mineral formation spatially and temporally are still not clear. For example, the degree to which micron-scale biomass and mineral formation alter flow paths that translate to centimeter and larger scale processes is not fully understood (Armstrong and Ajo-Franklin, 2011, Graf von der Schulenburg et al., 2009).
Perhaps the most highly studied microbial process that can induce calcium carbonate precipitation is ureolysis. Organisms that produce large amounts of urease, such as Sporosarcina pasteurii (formerly known as Bacillus pasteurii (Yoon et al., 2001)), can be extremely efficient at raising the pH of their environment through hydrolyzing urea and subsequently precipitating calcium carbonate as shown in Eqs. (1), (4) (Mitchell and Ferris, 2006).
Urea Hydrolysis:CO(NH2)2 + 2 H2O → 2 NH3 + H2CO3
Ammonia Protonation and pH Increase:2 NH3 + 2 H2O ↔ 2 NH4+ + 2 OH−
Shift of Carbonate Equilibrium:H2CO3 + 2 OH− ↔ HCO3− + H2O + OH− ↔ CO32 − + 2 H2O
Calcium Carbonate Precipitation:CO32 − + Ca2 + ↔ CaCO3(s)
The urease enzyme hydrolyzes urea (CO(NH2)2) to produce two ammonia molecules and one carbonic acid molecule (Eq. (1)). The overall effect of urea hydrolysis is a pH increase and a shift of the carbonic acid equilibrium towards carbonate (Eqs. (2), (3)). In the presence of calcium, or other divalent cations, precipitation of solid carbonate species takes place once a critical saturation state has been reached (Eq. (4)). In engineered systems, calcium is typically supplied to the system so calcium carbonate is most often the primary precipitate. Other organic and inorganic compounds are often incorporated into the precipitates, potentially changing their characteristics from those expected from pure forms of calcium carbonate (Bosak and Newman, 2005).
Microscopic observations have been used extensively to study MICP processes but real-time imaging that can differentiate biomass from mineral precipitates has been a significant challenge. Electron microscopy only provides an end-point view of the system with unavoidable sample preparation artifacts (Dohnalkova et al., 2011). In contrast, light microscopy allows for the direct observation of microorganisms in a fully hydrated environment. Currently, staining is the only way to use light microscopy to definitively differentiate between biomass and the minerals in a hydrated environment (Schultz et al., 2011). However, staining affects biological processes; so long term studies over the course of days using fluorescent stains are not ideal.
The genetic modification of microbes to incorporate a green or other fluorescent protein is a suitable alternative to direct staining (Larrainzar et al., 2005). Organisms that express a fluorescent protein can be imaged over the course of hours and days without the need to introduce potentially inhibitory or toxic stains. Also, expression of the fluorescent protein can potentially be linked to the transcription of a protein of interest thus providing insight into the specific activity of an enzyme.
The goal of this work was to develop bacterial strains that constitutively express green fluorescent protein (GFP) and active urease. This was accomplished through the insertion of plasmid-borne urease genes into bacteria containing a chromosomal gfp insert. In addition to the construction of these organisms, their potential to be used in MICP studies was evaluated based on their ability to hydrolyze urea in batch kinetic studies. The growth and ureolysis kinetics of the newly constructed model organisms were compared to S. pasteurii, a model organism commonly used for MICP studies. Finally, the model organisms' suitability for studies in microscopic flow cells was demonstrated.
Section snippets
Bacterial strains and growth conditions
Appropriate growth medium (100 mL, Table 1) was inoculated with 1.0 μL per mL of frozen stock culture. The baffled 250 mL Erlenmeyer flasks were incubated at the appropriate temperature (Table 1) on horizontal shakers at 200 rpm. Cells from overnight cultures were washed twice by centrifugation at 4200 ×g and subsequently resuspended in sterile phosphate buffered saline solution (PBS) to remove spent media. PBS had final concentrations of 8.5 g/L NaCl, 0.61 g/L KH2PO4, 0.96 g/L K2HPO4 (all Fisher
Construction of urease positive GFP organisms
Two urease-positive GFP-expressing bacteria were successfully constructed and named P. aeruginosa strain MJK1 and E. coli strain MJK2. The initial GFP containing organisms were P. aeruginosa AH298 (Werner et al., 2004) and E. coli AF504gfp (Folkesson et al., 2008), respectively. The previously cloned urease operon from E. coli DH5α(pURE14.8) was inserted into the l-arabinose-inducible plasmid pJN105 and subsequently renamed pMK001. The pMK001 plasmid was introduced into the GFP strains (Fig. 1
Conclusions
Two novel model organisms were constructed to conduct pore scale ureolysis-driven MICP experiments, where organism and mineral growth can be visualized continuously and non-invasively. The two new bacterial strains will allow for the research of spatiotemporal physical and biochemical phenomena at the micrometer scale in MICP systems. Previously, it was not possible to observe the spatiotemporal orientation of biomass with respect to newly formed precipitates that were induced by the same
Glossary
- A
ln(ODst/ODo)
- C
Urea concentration
- CMM
Calcite Mineralizing Medium
- GFP
Green Fluorescent Protein
- HPLC
High Pressure Liquid Chromatography
- km
M–M half saturation coefficient
- λ
Lag time
- LB
Luria–Bertani Medium
- MICP
Microbially Induced Calcium Carbonate Precipitation
- M–M
Michaelis–Menten enzyme kinetics model
- μmax
Maximum specific growth rate
- OD
Optical Density
- ODo
Initial Optical Density
- ODst
Steady-state Optical Density
- R2
Coefficient of determination
- t
Time variable
- Vmax
M–M maximum reaction velocity (rate)
Acknowledgments
We wish to thank Adrienne Phillips for a careful edit as well as Dr. Mike Franklin for thoughtful guidance. This work was funded by the National Science Foundation through NSF award No. DMS-0934696 and by Office of Science (BER), Subsurface Biogeochemical Research Program, U.S. Department of Energy through Grant Numbers DE-FG-02-09ER64758, DE-FG02-07ER64417 and DE-FG02-09ER64734.
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