The effect of transcription factor AtfA on gene expression
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ABSTRACT:
ORGANISM(S): Acinetobacter baylyi
PROVIDER: GSE42973 | GEO | 2014/07/28
SECONDARY ACCESSION(S): PRJNA183988
REPOSITORIES: GEO
Similar Datasets
Project description:We report the effect of the deletion of novel RNA polymerase binding protein AtfA on genome-wide transcription in Acinetobacter baylyi ADP1. Compared the transcription profile of wt vs atfA knockout in Acinetobacter baylyi ADP1 using RNA-seq.
2014-07-28 | E-GEOD-42973 | biostudies-arrayexpress
Project description:The bZIP transcription factors (TFs) govern regulation of development, secondary metabolism and various stress responses in filamentous fungi. In this work, we carried out genome-wide expression studies employing Illumina RNAseq to understand the roles of the two bZIP transcription factors AtfA and AtfB in Aspergillus nidulans. Comparative analyses of transcriptomes of vegetatively grown cells (mycelia) and asexual spores (conidia) obtained from the surface cultures of control, DatfA, DatfB, DatfADatfB mutant strains with/without menadione sodium bisulfite (MSB) treatment were performed. Probable AtfA and AtfB dependent gene sets were determined by comparing transcriptomes of both single gene deletion mutants with the reference strain, and the double gene deletion mutant with the appropriate single gene deletion mutants. As AtfA is the primary bZip TF governing stress-response in A. nidulans, a significantly higher number was differentially expressed genes (DEGs) by DatfA than DatfB in both mycelial and conidial samples, and most of the AtfB dependent genes showed AtfA dependence, too. Moreover, a low number of genes showing AtfB dependence only can be a consequence of that DatfA leading to downregulation of atfB expression. The abundance of atfA and atfB mRNAs and, concurring with it the number of AtfA and AtfB affected genes were much higher in conidial than in mycelial samples. The number of AtfB- (but not of AtfA-) affected DEGs decreased markedly in the presence of MSB, which was accompanied with decreased mRNA levels of atfB in MSB treated mycelial (reference strain) and conidial (DatfA mutant) samples. The overlap between the AtfA dependent DEGs in the case of MSB treated and untreated mycelial samples was low demonstrating that distinct genes can be under AtfA control in different cell types. The AtfA-dependent DEGs were enriched with carbohydrate metabolism genes. Among them, AtfA-dependence of glycolytic genes in the case of the conidial samples was the most notable. Levels of transcripts of certain secondary metabolitic gene clusters, like the Emericellamide cluster also showed AtfA-dependent regulation. The AtfA affected DEGs under all experimental conditions include those encoding catalase and histidine-containing phosphotransfer proteins. The 23 DEGs that solely dependent on AtfB considering all transcriptomics data sets, included a putative a -glucosidase (agdB), a putative a-amylase, calA involved in early conidial germination and an alternative oxidase. In summary, there is a complex interaction between the two b-Zip TFs in which the main function of AtfB is supporting the regulatory role of the primary b-Zip TF AtfA in A. nidulans.
2023-02-15 | GSE220052 | GEO
Project description:The goals of this study are to use Next-generation sequencing (NGS)to detect bacterial mRNA profiles of E. coli K-12 LE392, P. putida KT2440 and Acinetobacter baylyi ADP1 in response to various antidepressant concentrations for 2 h, in triplicate, using Illumina HiSeq 2500.The NGS QC toolkit (version 2.3.3) was used to treat the raw sequence reads to trim the 3’-end residual adaptors and primers, and the ambiguous characters in the reads were removed. Then, the sequence reads consisting of at least 85% bases were progressively trimmed at the 3’-ends until a quality value ≥ 20 were kept. Downstream analyses were performed using the generated clean reads of no shorter than 75 bp. The clean reads of each sample were aligned to the E. coli reference genome (NC_000913), Pseudomonas putida KT2440 genome (NCBI:txid160488) and Acinetobacter baylyi ADP1 genome (NCBI:txid62977) using SeqAlto (version 0.5). Cufflinks (version 2.2.1) was used to calculate the strand-specific coverage for each gene, and to analyze the differential expression in triplicate bacterial cell cultures. The statistical analyses and visualization were conducted using CummeRbund package in R (http://compbio.mit.edu/cummeRbund/). Gene expression was calculated as fragments per kilobase of a gene per million mapped reads (FPKM, a normalized value generated from the frequency of detection and the length of a given gene.
2022-08-03 | GSE181900 | GEO
Project description:The goals of this study are to use SWATH-MS to detect bacterial proteomic profiles of wild-type Acinetobacter baylyi ADP1, and its protein response under the exposure of disinfectants, including chloramine and free chlorine. The concentrations of disinfectants were 10 mg/L. The group without dosing disinfectant was the control group. Each concentration was conducted in triplicate. By comparing the proteomic profiles of experimental groups and control group, the effects of disinfectants on translational levels can be revealed.
2021-09-09 | PXD016794 | Pride
Project description:The goals of this project are to use a liquid chromatography-tandem mass spectrometer (LC-MS/MS) to detect bacterial proteomic profiles of Acinetobacter baylyi ADP1 and their quantitative protein responses under exposure to 30 mg/L of artificial sweeteners (saccharine, sucralose, aspartame, and acesulfame potassium). The control group without artificial sweeteners exposure was also set up for comparison. Each treatment was conducted in biological triplicate. By comparing the proteomic profiles of artificial sweeteners-treated groups and control group, the effects of artificial sweeteners on bacterial translational levels can be revealed.
2022-02-17 | PXD027117 | Pride
Project description:The goals of this study are to use Next-generation sequencing (NGS) to detect bacterial mRNA profiles of wild-type Acinetobacter baylyi ADP1 and Pwh1266 plasmid, and their mRNA response under the exposure of four artificial sweeteners, including saccharin, sucralose, aspartame, and acesulfame potassium. 3 mg/L of each sweetener was used to treat the mixture of bacteria cell and plasmid. The group without dosing any artificial sweeteners was the control group. Each sample was conducted in triplicate. By comparing the mRNA profiles of experimental groups and control group, the effects of these four artificial sweeteners on the transcriptional levels can be revealed. Illumina HiSeq 2500 was applied. The NGS QC toolkit (version 2.3.3) was used to treat the raw sequence reads to trim the 3’-end residual adaptors and primers, and the ambiguous characters in the reads were removed. Then, the sequence reads consisting of at least 85% bases were progressively trimmed at the 3’-ends until a quality value ≥ 20 were kept. Downstream analyses were performed using the generated clean reads of no shorter than 75 bp. The clean reads of each sample were aligned to the Acinetobacter baylyi ADP1 reference genome (NC_005966) using SeqAlto (version 0.5). Cufflinks (version 2.2.1) was used to calculate the strand-specific coverage for each gene, and to analyze the differential expression in triplicate bacterial cell culture. The statistical analyses and visualization were conducted using CummeRbund package in R (http://compbio.mit.edu/cummeRbund/). Gene expression was calculated as fragments per kilobase of a gene per million mapped reads (FPKM, a normalized value generated from the frequency of detection and the length of a given gene.
2021-09-20 | GSE141954 | GEO
Project description:The goals of this study are to use SWATH-MS to detect bacterial proteomic profiles of wild-type Acinetobacter baylyi ADP1, and its protein response under the exposure of non-antibiotic pharmaceuticals, including ibuprofen, naproxen, gemfibrozil, diclofenac, propanolol, and iopromide. The concentrations were 0.5 mg/L for ibuprofen, naproxen, gemfibrozil, diclofenac, propanolol, and 1.0 mg/L for iopromide. The group without dosing pharmaceutical was the control group. Each concentration was conducted in triplicate. By comparing the proteomic profiles of experimental groups and control group, the effects of non-antibiotic pharmaceuticals on translational levels can be revealed.
2020-05-22 | PXD016798 | Pride
Project description:Microarray analysis was used to identify the osmotic stress-responsive genes dependent on HogA and AtfA in the filamentous fungus Aspergillus nidulans. In order to identify such genes, we conducted the several types of experiment. One was a comparison between wild type with and without osmotic shock (Exp.6). Others were comparison between wild type with osmotic shock and each mutant (hogA, Exp.7; atfA, Exp.8) with osmotic shock. Compared the result of Exp.6 with other experiments, we could identify the genes whose expression was induced or repressed in response to osmotic stress in a manner dependent on HogA and AtfA. KEY WORD; Aspergillus nidulans, osmotic stress, HogA, AtfA
2009-06-16 | GSE16566 | GEO
Project description:Microarray analysis was used to identify the fludioxonil-responsive genes dependent on SskA, SrrA, HogA, and AtfA in the filamentous fungus Aspergillus nidulans. In order to identify such genes, we conducted the several types of experiment. One was a comparison between wild type treated with fludioxonil and without the treatment (Exp.1). Others were comparison between wild type treated with fludioxonil and each mutant (sskA, Exp.2; srrA, Exp.3; hogA, Exp.4; atfA, Exp.5) treated with fludioxonil. Compared the result of Exp.1 with that of other experiments, we could identify the genes whose expression was induced or repressed in response to fludioxonil in a manner dependent on SskA, SrrA, HogA, or AtfA. KEY WORD; Aspergillus nidulans, fludioxonil, SskA, SrrA, HogA, AtfA
2009-06-10 | GSE16509 | GEO
