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Hogendoorn, C.

Publications and source records attributed to Hogendoorn, C..

2 recordsLinked to original sources

Adaptation and response of verrucomicrobial methanotrophs to heat and acidity

Acidophilic microorganisms thrive in environments where the external pH is orders of magnitude lower than their intracellular pH. Verrucomicrobial methanotrophs of the family Methylacidiphilaceae, including Methylacidiphilum and Methylacidimicrobium, inhabit extremely acidic geothermal environments and can grow at a pH < 1.0 and temperatures up to 65 {degrees}C. We analyzed and compared their membrane fatty acid compositions at pH 3.0 across strains with different temperature optima. Thermophilic Methylacidiphilum strains almost exclusively contain saturated fatty acids, while mesophilic Methylacidimicrobium strains incorporate 16-47% unsaturated fatty acids. Notably, the thermophile Methylacidiphilum fumariolicum SolV increases unsaturated fatty acid content in response to a 10 {degrees}C temperature decrease. Genomic analysis revealed a conserved fatty acid biosynthesis pathway. Despite constitutive expression of predicted pH homeostasis genes, SolV did not upregulate them upon changing the pH from 3.0 to 1.7. However, genes involved in methane oxidation were strongly upregulated, suggesting a potential metabolic adaptation to extreme acidity.

microbiology↗

System characterization of dynamic biological systems through improved data analysis.

Determining the functional development and dominant competitive strategy in microbial community enrichments is complicated by the extensive measurement campaigns required for off-line system analysis. This study demonstrates that detailed system characterization of aerobic pulse fed enrichments can be established using on-line measurements combined with automated data analysis. By incorporating the physicochemical processes in on-line data processing with a Particle Filter and kinetic process model, an accurate reconstruction of the dominant biological rates can be made. We hereby can differentiate between storage compound production and biomass growth in sequencing batch bioreactors. The method proposed allows for close monitoring of changes in functional behavior of long-running enrichment cultures, without the need for off-line samples, therewith enabling the identification of new insights in process dynamics with a minimal experimental effort. Even though a specific example application of the method proposed is described here, the approach can readily be extended to a wide range of dynamic experimental systems that can be characterized based on on-line measurements.

microbiology↗