Project description:16s RNA gene sequencing data from seawater, bed sediment and steel corrosion samples from Shoreham Harbour, UK, collected to allow bacterial species comparisons between microbially influenced corrosion, the surrounding seawater, and the sea bed sediment at the seafloor and 50cm depth below seafloor.
Project description:Samples collect to investigate the gene activity from microbial populations in marine steel corrosion, and to compare with gene activity in water and bed sediment samples from the surrounding area. The study was undertaken to (1) investigate mechanisms of microbially influenced corrosion (MIC) of marine steel, and (2) compare microbial population gene activity between corrosion and the surrounding environment. Purified DNA (1µg) was labelled with Cy3, purified and hybridised at 42°C for 16h with the GeoChipTM 5.0 on a MAUI hybridisation station (BioMicro, USA).
Project description:Microbial degradation of citrate mediates sealing of cement cracks under anaerobic conditions relevant to radioactive waste disposal
Project description:Microbially-induced corrosion of carbon steel in anoxic groundwater
| PRJEB19087 | ENA
Project description:Microbially mediated reduction of Se(VI) to a Se(0)/Se(-II) solid phase in high pH sediments relevance to radioactive waste disposal.
| PRJNA1106252 | ENA
Project description:Microbially-induced corrosion (MIC) potential of bentonite microorganisms: implications for a deep geological repository for nuclear waste
Project description:Microbially influenced corrosion (MIC) poses a major threat to metal structures across various industries, resulting in substantial economic losses and environmental risks. As deep-sea exploration expands, understanding MIC under high hydrostatic pressure becomes increasingly critical. Microorganisms in these extreme environments undergo distinct structural and metabolic adaptations to survive and thrive. In this study, we employed a proteomic approach to examine the lifestyle and corrosive potential of two sulfate-reducing bacteria (SRB) species with different pressure optima under simulated depths ranging from the sea surface to 3000 meters. Species-specific corrosion mechanisms and unique proteomic signatures associated with pressure adaptation were identified, correlating with opposing trends in corrosion rates. Our findings emphasize the need to characterize microbial physiology in relation to environmental conditions to better predict corrosion risks in extreme deep-sea settings.
