Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1218425 | ENA |
REPOSITORIES: ENA
Similar Datasets
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).
2019-11-01 | E-MTAB-8364 | biostudies-arrayexpress
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.
2017-04-04 | GSE97319 | GEO
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.
2021-07-30 | PXD026513 | Pride
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.
2019-10-06 | E-MTAB-8373 | biostudies-arrayexpress
Project description:The microbiologically influenced corrosion is one of the serious problems in petroleum tanks. It was found that the methanogenic archaea Methanococcus maripaludis OS7 isolated from the inside of petroleum tanks has the iron corrosive property. To identify the genes related to the iron corrosion, we have performed proteome analysis of iron-corrosive archaeon M. maripaludis OS7 and its corrosion-defective mutant.
2018-10-04 | PXD010311 | JPOST Repository
Project description:To effectively monitor microbial populations in acidic environments and bioleaching systems, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the known genes associated with the acidophiles. This array contained 1,072 probes in which there were 571 related to 16S rRNA and 501 related to functional genes. Acid mine drainage (AMD) presents numerous problems to the aquatic life and surrounding ecosystems. However, little is known about the geographic distribution, diversity, composition, structure and function of AMD microbial communities. In this study, we analyzed the geographic distribution of AMD microbial communities from twenty sites using restriction fragment length polymorphism (RFLP) analysis of 16S rRNA genes, and the results showed that AMD microbial communities were geographically distributed and had high variations among different sites. Then an AMD-specific microarray was used to further analyze nine AMD microbial communities, and showed that those nine AMD microbial communities had high variations measured by the number of detected genes, overlapping genes between samples, unique genes, and diversity indices. Statistical analyses indicated that the concentrations of Fe, S, Ca, Mg, Zn, Cu and pH had strong impacts on both phylogenetic and functional diversity, composition, and structure of AMD microbial communities. This study provides insights into our understanding of the geographic distribution, diversity, composition, structure and functional potential of AMD microbial communities and key environmental factors shaping them. This study investigated the geographic distribution of Acid Mine Drainages microbial communities using a 16S rRNA gene-based RFLP method and the diversity, composition and structure of AMD microbial communities phylogenetically and functionally using an AMD-specific microarray which contained 1,072 probes ( 571 related to 16S rRNA and 501 related to functional genes). The functional genes in the microarray were involved in carbon metabolism (158), nitrogen metabolism (72), sulfur metabolism (39), iron metabolism (68), DNA replication and repair (97), metal-resistance (27), membrane-relate gene (16), transposon (13) and IST sequence (11).
2011-03-08 | E-GEOD-27542 | biostudies-arrayexpress
Project description:Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. Three groups of samples, A, B and C. Every group has 3 replicates.
2016-08-02 | E-GEOD-85064 | biostudies-arrayexpress