Bay of Bengal planktonic and biofilm communities
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA498301 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8106743.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Study transcriptome differences between biofilm, planktonic and stationary cultures. Methods: Total mRNA from in vitro cultures was extracted and sequenced using Ion Torrent PGM sequencer. Results: Characteristic transcriptomic profile was observed for biofilm, planktonic and stationary cultures. Biofilm and planktonic were similar biological states. Conclusions: Results suggest that H. parasuis F9 has more active metabolism during biofilm or planktonic growth when compared to stationary culture. Some identified membrane-related genes could play an important role in biofilm life.
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Project description:The profiles of transcripts from the planktonic cells and biofilm cells of V. vulnificus were compared by using a V. vulnificus whole-genome microarray
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Project description:Purpose: Study transcriptome differences between biofilm, planktonic and stationary cultures. Methods: Total mRNA from in vitro cultures was extracted and sequenced using Ion Torrent PGM sequencer. Results: Characteristic transcriptomic profile was observed for biofilm, planktonic and stationary cultures. Biofilm and planktonic were similar biological states. Conclusions: Results suggest that H. parasuis F9 has more active metabolism during biofilm or planktonic growth when compared to stationary culture. Some identified membrane-related genes could play an important role in biofilm life. RNA profiles of 36 hours biofilm or planktonic cultures were generated and compared with stationary culture profile.
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Project description:Interactions between human keratinocytes and secreted factors from Staphylococcus aureus biofilm and planktonic cultures were investigated using microarray analysis. Relative to planktonic secreted factors, biofilm secreted factors up regulated cytokine and chemokine genes in keratinocytes. Genes associated with DNA damage and oxidative stress were also induced in keratinocytes treated with secreted factors from S. aureus biofilm. Here we show that secreted factors from S. aureus planktonic (PCM) and biofilm (BCM) cultures differentially impact several aspects of wound healing processes.
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Project description:The profiles of transcripts from the planktonic cells and biofilm cells of V. vulnificus were compared by using a V. vulnificus whole-genome microarray Two-condition experiment, planktonic cells vs. biofilm cells. Biological replicates: 3 control, 3 experimental, independently grown and harvested. One replicate per array. For transcriptome analysis, the V. vulnificus whole genome TwinChip, manufactured and kindly provided by the 21C Frontier Microbial Genomics and Applications Center (Daejeon, South Korea), was used.
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Project description:Is there a universal genetically programmed defense providing tolerance to antibiotics when bacteria grow as biofilms? A comparison between biofilms of three different bacterial species by transcriptomic and metabolomic approaches uncovered no evidence of one. Single-species biofilms of three bacterial species (Pseudomonas aeruginosa, Staphylococcus aureus, and Acinetobacter baumannii) were grown in vitro for three days then challenged with respective antibiotics (ciprofloxacin, daptomycin, tigecycline) for an additional 24 h. All three microorganisms displayed reduced susceptibility in biofilms compared to planktonic cultures. Global transcriptomic profiling of gene expression comparing biofilm to planktonic and antibiotic-treated biofilm to untreated biofilm was performed. Extracellular metabolites including 18 amino acids, glucose, lactate, acetate, formate, and ethanol were measured to characterize the utilization of carbon sources between biofilms, treated biofilms, and planktonic cells. While all three bacteria exhibited a species-specific signature of stationary phase, no conserved gene, gene set, or common functional pathway could be identified that changed consistently across the three microorganisms. Across the three species, glucose consumption was increased in biofilms compared to planktonic cells and alanine and aspartic acid utilization were decreased in biofilms compared to planktonic cells. The reasons for these changes were not readily apparent in the transcriptomes. No common shift in the utilization pattern of carbon sources was discerned when comparing untreated to antibiotic-exposed biofilms. Overall, our measurements do not support the existence of a common genetic or biochemical basis for biofilm tolerance against antibiotics. Rather, there are likely myriad genes, proteins, and metabolic pathways that influence the physiological state of microorganisms in biofilms contributing to antibiotic tolerance. The Acinetobacter baumannii microarray data from the study described above is deposited here.
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