Quantifying the Effect of Encapsulation on Microbial Mineralization Processes Using a Modified DNA Extraction Method
Albalghiti, E.; Semrau, J. D.; Ellis, B. R.
Show abstract
Microbially-mediated mineral precipitation is important in the natural world and to a number of emerging climate, energy, and water technologies. Central to many microbial mineralization processes is the preferential accumulation of precipitates on microbial surfaces. In some systems, including ureolytic microbially-induced carbonate precipitation (MICP), precipitates may entomb cells in a process termed "encapsulation." Encapsulation is known to greatly affect microbial systems, but understanding these relationships quantitatively has proven difficult, largely because nucleic acid extraction from encapsulated cells yields inconsistent results. Here, a demineralization protocol adapted from studies of natural microbialites is shown to recover genomic DNA from carbonate-encapsulated Sporosarcina pasteurii at yields indistinguishable from unmineralized cells and of sufficient quality for quantitative PCR. This method allows the degree of encapsulation to be expressed quantitatively as the amount of precipitate formed normalized to the estimated number of cells present, and allows growing populations to be tracked with increased precision. Simultaneous growth and mineralization experiments in mixed batch reactors suggest encapsulation-induced growth suppression at calcium concentrations of 250 mM, which are commonly employed in MICP under different physicochemical conditions. Variable rates of precipitate accumulation on cells, possibly stemming from local mass transport constraints, are proposed as a mechanism of calcium concentration-dependent growth suppression. Accordingly, mass transport principles are used to derive a reaction rate scaling function, allowing the observed growth and precipitation behavior to be replicated by a numerical model. These findings lay the groundwork for a more fundamental understanding of how encapsulation shapes microbial mineralization processes.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of a Highly Expressed Gene Cluster Likely Coding for Benzene Activation Enzymes in a Methanogenic Enrichment Culture 94%
- RB-TnSeq elucidates dicarboxylic acid specific catabolism in β-proteobacteria for improved plastic monomer upcycling 93%
- Quantitative metagenomics using a portable protocol. 93%
Similar papers in this journal
- A high-throughput fluorescence-based assay for the detection of petroleum hydrocarbon degrading bacteria 94%
- Improved microbial community characterization of 16S rRNA via metagenome hybridization capture enrichment 94%
- Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling 93%
Similar papers in this journal
- High-Density Microdroplet Cultivation Reveals the Essential Role of Microbial Interactions in the Growth of Environmental Microbes 95%
- Quantitative visualization of gene expression in Pseudomonas aeruginosa aggregates reveals peak expression of alginate in the hypoxic zone 92%
- Generation of comprehensive ecosystems-specific reference databases with species-level resolution by high-throughput full-length 16S rRNA gene sequencing and automated taxonomy assignment (AutoTax) 91%
Similar papers in this journal
- In situ abundance and carbon fixation activity of distinct anoxygenic phototrophs in the stratified seawater lake Rogoznica 95%
- Trait-based life-history strategies explain succession scenario for complex bacterial communities under varying disturbance 93%
- The microbiology and geochemistry of the shallow-water hydrothermal vents of the Gulf of Naples, Italy 92%
Similar papers in this journal
- Time-series genome-centric analysis unveils bacterial response to operational disturbance in activated sludge 94%
- SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases 94%
- Interactions Between Native Soil Microbiome and a Synthetic Microbial Community Reveals Bacteria with Persistent Traits 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.