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: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.
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.
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:Microbiologically influenced corrosion (MIC) is recognized as a considerable threat to carbon steel asset integrity in the oil and gas industry. There is an immediate need for reliable and broadly applicable methods for detection and monitoring of MIC. Proteins associated with microbial metabolisms involved in MIC could serve as useful biomarkers for MIC diagnosis and monitoring. A proteomic study was conducted using a lithotrophically-grown bacteria Desulfovibrio ferrophilus strain IS5, which is known to cause severe electric MIC in seawater environments. Unique proteins, which are differentially and uniquely expressed during severe microbial corrosion by strain IS5, were identified. This includes the detection of a multi-heme cytochrome protein predicted to be involved in extracellular electron transfer in the presence of the carbon steel. Thus, we conclude that newly identified protein biomarker for MIC could be used to generate easy-to-implement immunoassays for reliable detection of microbiological corrosion in the field.
Project description:To identify the mechanism of Microbial Influenced Corrosion (MIC) and the bacterial response toward corrosion, we conducted whole genome microarray expression profile. At log phase, the cell of Clostridium carboxidivorans using iron granule as an electron donor (corroding iron) was collected as a sample, and that of using syngas as an electron donor was collected as a control.
