Ontology highlight
ABSTRACT:
PROVIDER: PRJNA985906 | ENA |
REPOSITORIES: ENA
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Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.
2012-12-01 | GSE38004 | GEO
Project description:Adults with cystic fibrosis (CF) have chronic antibiotic-resistant polymicrobial lung infections, the leading cause of death in CF. We developed a polymicrobial culture model containing four genera that represents a ‘pulmotype’ detected in ~34% of lung infections in people with CF (pwCF), and accounts for 27% of the variability in lung function. This community, comprised of Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus sanguinis, and Prevotella melaninogenica, is grown in synthetic CF media (SCFM2) under anoxic conditions that mimic the environment in mucus plugs in CF. We have shown that Pseudomonas in monoculture communicates with primary human bronchial epithelial cells (pHBEC) by secreting bacterial extracellular vesicles (bEVs) that diffuse through mucus and deliver virulence factors, DNA, and RNA to pHBEC. We report herein that each bacterial genus in the polymicrobial community secretes bEVs containing proteins and RNAs predicted to promote the establishment of chronic infection by enhancing virulence and biofilm formation, and upregulating the stress response and pro-inflammatory pathways in pHBEC. This response is most pronounced in CF pHBEC. Trikafta, a highly effective drug, does not ameliorate the response or return it to WT levels. Bacterial EVs also inhibited Trikafta-stimulated CFTR Cl- currents by CF pHBEC. These studies provide insight into why Trikafta does not eliminate polymicrobial lung infections and a hyperinflammatory lung environment in pwCF.
2026-04-11 | GSE325886 | GEO
Project description:taxonomic and functional respose of coastal microbial community to algal organic matter supply
2025-03-24 | PXD054591 | Pride
Project description:Bacterial community in coastal aquaculture sediments
| PRJDB14387 | ENA