Medical waste bacteria
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ABSTRACT:
PROVIDER: PRJNA822103 | ENA |
REPOSITORIES: ENA
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Project description:Transcriptomics analysis of biopolymer (medium chain length polyhydroxyalkanoate) producing strain P.putida LS46 cultured with biodiesel derived waste carbon sources: studies of cellular adaptation to the industrial waste streams and metabolic profiling under the polymer producing conditions. We are reporting RNAseq analysis data here as part of our multi-level Omics study of medium chain length polyhydroxyalkanoate (mcl-PHA) producing strain P.putida LS46 culture with biodiesel derived waste glycerol and waste fatty acids. The data presented here will be used in two separate manuscripts. The objectives of this study are a): to evaluate cellular responses of P.putida LS46 under industrial waste stream. b): to study gene expression profile under two selected mcl-PHA producing conditions of P.putida LS46. Comparative multi-level Omics study: for objective a): Exponential P.putida LS46 cell from waste glycerol culture compared against reagent grade pure glycerol culture. For objective b): Two mcl-PHA producing conditions, namely stationary phase waste glycerol culture and exponential phase waste fatty acid culture of P.putida LS46, were compared against exponential phase waste glycerol culture of P.putida LS46. Major results from objective a): The waste glycerol substrate induced expression of a large number of genes putatively involved in heavy metal tolerance, including three gene clusters: a putative cusABC transcript unit and two copies of copAB, which are usually involved in copper resistance and tolerance to other monovalent heavy metals. A local gene relocation was observed in cluster 1 consisting cusABC and copAB relative to the KT2440 type strain according to the phylogenetic and gene neighbourhood analyses on various P. putida strains. P. putida LS46 also contains 11 putative MerR family regulators, which sense various environmental stimuli including heavy metals. MerR-1 is an ortholog of the copper response regulator of other gram-negative bacteria, and was highly up-regulated in waste glycerol cultures. Finally, a number of genes involved in cell responses to high extra-cellular Na+ concentrations, and genes of the fatty acid beta-oxidation pathway were up-regulated in waste glycerol cultures Major results from objective b): Regardless to the type of substrates, up-regulation of two mcl-PHA synthase (PhaC1 and PhaC2), and two phasin proteins (PhaF and PhaI) are the most common genotype under mcl-PHA production conditions. PhaG and possible PhaJ4 connect fatty acid de novo synthesis to mcl-PHA in waste glycerol culture. Interestingly, expression of gene, fabZ, in production of unsaturated fatty acid from fatty acid de novo synthesis was only observed in waste glycerol culture. On the other hand, PhaJ1 and PhaJ4 derived mcl-PHA production via fatty acid beta-oxidation was observed under waste fatty acid culture. These results would help to explain observed different production kinetics and monomer distribution of the polymer. Although under active mcl-PHA production condition, depression on the expression of glpF genes in glycerol transportation system prevent further channelling extra-cellular glycerol into the cell. Waste glycerol culture also triggers trahalose synthesis pathway, a potential competing pathway during mcl-PHA synthesizing. In waste fatty acid culture, the intermediates (acyl-CoA and 3-hydroxyacyl-CoA) of fatty acid beta-oxidation were used for mcl-PHA production and were also likely hydrolysed to their free acid forms via an up-regulated thioesteras coding gene, tesA. Acetyl-CoA cleaved from the pathway was clearly channeled into glyoxylate shut for C2 carbon assimilation over spillage as CO2 through TCA cycle or used in fatty acid biosynthesis pathway. In total 4 sampling points, namely exponential phase of pure glycerol, waste glycerol and waste free fatty acids cultures, and stationary phase of waste glycerol culture. For each sampling point, 2 biological replicates were taken. (Thus 8 samples in total)
2015-05-01 | E-GEOD-65029 | biostudies-arrayexpress
Project description:Transcriptomics analysis of biopolymer (medium chain length polyhydroxyalkanoate) producing strain P.putida LS46 cultured with biodiesel derived waste carbon sources: studies of cellular adaptation to the industrial waste streams and metabolic profiling under the polymer producing conditions. We are reporting RNAseq analysis data here as part of our multi-level Omics study of medium chain length polyhydroxyalkanoate (mcl-PHA) producing strain P.putida LS46 culture with biodiesel derived waste glycerol and waste fatty acids. The data presented here will be used in two separate manuscripts. The objectives of this study are a): to evaluate cellular responses of P.putida LS46 under industrial waste stream. b): to study gene expression profile under two selected mcl-PHA producing conditions of P.putida LS46. Comparative multi-level Omics study: for objective a): Exponential P.putida LS46 cell from waste glycerol culture compared against reagent grade pure glycerol culture. For objective b): Two mcl-PHA producing conditions, namely stationary phase waste glycerol culture and exponential phase waste fatty acid culture of P.putida LS46, were compared against exponential phase waste glycerol culture of P.putida LS46. Major results from objective a): The waste glycerol substrate induced expression of a large number of genes putatively involved in heavy metal tolerance, including three gene clusters: a putative cusABC transcript unit and two copies of copAB, which are usually involved in copper resistance and tolerance to other monovalent heavy metals. A local gene relocation was observed in cluster 1 consisting cusABC and copAB relative to the KT2440 type strain according to the phylogenetic and gene neighbourhood analyses on various P. putida strains. P. putida LS46 also contains 11 putative MerR family regulators, which sense various environmental stimuli including heavy metals. MerR-1 is an ortholog of the copper response regulator of other gram-negative bacteria, and was highly up-regulated in waste glycerol cultures. Finally, a number of genes involved in cell responses to high extra-cellular Na+ concentrations, and genes of the fatty acid beta-oxidation pathway were up-regulated in waste glycerol cultures Major results from objective b): Regardless to the type of substrates, up-regulation of two mcl-PHA synthase (PhaC1 and PhaC2), and two phasin proteins (PhaF and PhaI) are the most common genotype under mcl-PHA production conditions. PhaG and possible PhaJ4 connect fatty acid de novo synthesis to mcl-PHA in waste glycerol culture. Interestingly, expression of gene, fabZ, in production of unsaturated fatty acid from fatty acid de novo synthesis was only observed in waste glycerol culture. On the other hand, PhaJ1 and PhaJ4 derived mcl-PHA production via fatty acid beta-oxidation was observed under waste fatty acid culture. These results would help to explain observed different production kinetics and monomer distribution of the polymer. Although under active mcl-PHA production condition, depression on the expression of glpF genes in glycerol transportation system prevent further channelling extra-cellular glycerol into the cell. Waste glycerol culture also triggers trahalose synthesis pathway, a potential competing pathway during mcl-PHA synthesizing. In waste fatty acid culture, the intermediates (acyl-CoA and 3-hydroxyacyl-CoA) of fatty acid beta-oxidation were used for mcl-PHA production and were also likely hydrolysed to their free acid forms via an up-regulated thioesteras coding gene, tesA. Acetyl-CoA cleaved from the pathway was clearly channeled into glyoxylate shut for C2 carbon assimilation over spillage as CO2 through TCA cycle or used in fatty acid biosynthesis pathway.
2015-05-01 | GSE65029 | GEO
Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.
2017-05-12 | PXD006118 | Pride
Project description:Bacteria respond to changes in their environment with specific transcriptional programmes, but even within genetically identical populations these programmes are not homogenously expressed. Such transcriptional heterogeneity between individual bacteria allows genetically clonal communities to develop a complex array of phenotypes, examples of which include persisters that resist antibiotic treatment and metabolically specialized cells that emerge under nutrient-limiting conditions. Fluorescent reporter constructs have played a pivotal role in deciphering heterogeneous gene expression within bacterial populations but have been limited to recording the activity of single genes in a few genetically tractable model species, whereas the vast majority of bacteria remain difficult to engineer and/or even to cultivate. Single-cell transcriptomics is revolutionizing the analysis of phenotypic cell-to-cell variation in eukaryotes, but technical hurdles have prevented its robust application to prokaryotes. Here, using the improved poly(A)-independent single-cell RNA-sequencing protocol MATQ-seq, we report the faithful capture of growth-dependent gene expression patterns in individual Salmonella and Pseudomonas bacteria across all RNA classes and genomic regions. These transcriptomes provide important reference points for single-cell RNA-sequencing of other bacterial species, mixed microbial communities and host–pathogen interactions.
2020-07-06 | GSE119888 | GEO
Project description:SardiNIA Medical Sequencing Discovery Project
| PRJNA74851 | ENA