Publications by authors named "David Sigee"

Article Synopsis
  • Microorganisms, particularly cyanobacteria, can thrive in harsh environments like the First Generation Magnox Storage Pond at Sellafield, leading to "blooms" that obscure visibility and hinder nuclear fuel retrieval operations.
  • Research using physiological measurements and genetic sequencing identified a dominant cyanobacterial genus, closely related to Pseudanabaena sp., which proliferates during certain bloom periods.
  • The study found that controlling the pond's purge rate could help manage these blooms, providing insights for bioremediation strategies to address radionuclide contamination using resilient cyanobacteria.
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Recently a species of was identified as the dominant photosynthetic organism during a bloom event in a high pH (pH ∼11.4), radioactive spent nuclear fuel pond (SNFP) at the Sellafield Ltd., United Kingdom facility.

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Geochemical analyses alongside molecular techniques were used to characterize the microbial ecology and biogeochemistry of an outdoor spent nuclear fuel storage pond at Sellafield, United Kingdom, that is susceptible to seasonal algal blooms that cause plant downtime. 18S rRNA gene profiling of the filtered biomass samples showed the increasing dominance of a species closely related to the alga , alongside 16S rRNA genes affiliated with a diversity of freshwater bacteria, including and High retention of Cs and Sr on pond water filters coincided with high levels of microbial biomass in the pond, suggesting that microbial colonization may have an important control on radionuclide fate in the pond. To interpret the unexpected dominance of species during bloom events in this extreme environment, the physiological response of to environmentally relevant ionizing radiation doses was assessed.

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Using an analogy with fed-batch heterotrophic growth, the algal photoautotrophic yield Φ(DW) (in grams of dry weight biomass synthesized per micromole of absorbed photons) was derived from the algae batch growth behavior in nutrient-replete medium. At known levels of incident light, the yield Φ(DW) enables the estimate of a maximum productivity, and is therefore critical to compare and select algal cultures and growth conditions for large-scale production. The algal culture maximum growth rate was shown to be an unreliable indicator of autotrophic biomass yield.

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In this study Fourier transform infrared micro-spectroscopy (FTIR) was used to determine lipid and carbohydrate content over time in the freshwater microalgae Chlamydomonas reinhardtii and Scenedesmus subspicatus grown in batch culture in limiting concentrations of nitrogen (N). Both algae exhibited restricted cell division and increased cell size following N-limitation. FTIR spectra of cells in N-limited media showed increasing lipid:amide I and carbohydrate:amide I ratios over time.

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We describe here the identification and characterization of two Listeria monocytogenes (Tn917-LTV3) relA and hpt transposon insertion mutants that were impaired in growth after attachment to a model surface. Both mutants were unable to accumulate (p)ppGpp in response to amino acid starvation, whereas the wild-type strain accumulated (p)ppGpp within 30 min of stress induction. The induction of transcription of the relA gene after adhesion was demonstrated, suggesting that the ability to mount a stringent response and undergo physiological adaptation to nutrient deprivation is essential for the subsequent growth of the adhered bacteria.

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