Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptional profile (mRNA and sRNA) of Clostridium acetobutylicum to metabolite stress, butanol and butyrate

ABSTRACT: The transcription profile of C. acetobutylicum to two major metabolite stress, butanol and butyric acid, was comprehensively investigated at three different concentrations of each metabolite and at four different time points (15, 30, 60 and 75 min post stress). All experiments were performed in 3 parallel biological replicates and the RNA extraction was perfomed in a manner to retain the small RNAs and hence, investigate their role and expression under stress. Genome-wide small RNA and mRNA profiling was done by Illumina TruSeq sample preparation followed by high-throughput sequencing with Illumina HiSeq 2000 platform.M-BM- Please note that all the samples were analyzed for both mRNAs and smallRNAs. We used the miRNeasy Kit from Qiagen to ensure the extraction of the low molecular weight small RNA during the extraction of the total RNA and hence, mRNAs and sRNAs were analyzed together in the total RNA-seq.

ORGANISM(S): Clostridium acetobutylicum

SUBMITTER: Blake Meyers

PROVIDER: E-GEOD-48349 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Purpose: Brassica. juncea is vulnerable to abiotic stresses at specific stages in its life cycle. However, till date no attempts have been made to elucidate the genome-wide changes in the transcriptome of B. juncea subjected to either high temperature or drought stress. Hence, to gain global insights into genes, transcription factors and kinases regulated by these stresses and to provide basic information on coding transcripts that are associated with traits of agronomic importance, we utilized a combinatorial approach of next generation sequencing and de novo assembly to discover B. juncea transcriptome associated with high temperature and drought. Results: We constructed and sequenced three transcriptome libraries namely Brassica control (BC), Brassica high temperature stress (BHS) and Brassica drought stress (BDS) from control, high temperature treated and drought treated seedlings of Brassica juncea. More than 180 million purity filtered reads were generated which were processed through quality parameters and high quality reads were assembled de-novo using SOAPde-novo assembler. A total of 77750 unique transcripts were identified out of which 69,245 (89%) were annotated with high confidence. We established a subset of 19110 transcripts, which were differentially regulated by either high temperature and/or drought stress. Furthermore, 886 and 2834 transcripts that code for transcription factors and kinases, respectively, were also identified. Investigation of identified transcription factors revealed that 92 responded to high temperature, 72 exhibited alterations in expression during drought stress, and 60 were commonly associated with both the stresses. Similarly, 217, 259 and 193 kinases were responsive to high temperature, drought or both stresses, respectively. Maximum number of up-regulated transcription factors in high temperature and drought stress belonged to heat shock factors (HSFs) and dehydration responsive element-binding (DREB) families respectively. We also identified 239 metabolic pathways, which were perturbed during high temperature and drought treatments. Analysis of gene ontologies associated with differentially regulated genes forecasted their involvement in diverse biological processes. Conclusions: Our study provides first comprehensive discovery of B. juncea transcriptome under high temperature and drought stress conditions. Transcriptome resources generated in this study will enhance our understanding on the molecular mechanisms involved in defining the response of B. juncea against two important abiotic stresses. Furthermore this information would benefit designing of efficient crop improvement strategies for tolerance against conditions of high temperature regimes and water scarcity. Total three RNA-Seq libraries were prepared and sequenced independently [B. juncea control (BC), B. juncea high temperature stressed (BHS) and B. juncea drought stressed (BDS) on Illumina GAIIx sequencer].

Project description:The presence of anti-microbial phenolic compounds, such as the model compound ferulic acid, in biomass hydrolysates poses significant challenges to the widespread use of biomass in conjunction with whole cell biocatalysis or fermentation. Biofuel toxicity must also be overcome to allow for efficient production of next generation biofuels such as butanol, isopropanol, and others for widespread usage. Currently, these inhibitory compounds must be removed through additional downstream processing or sufficiently diluted to create environments suitable for most industrially important microbial strains. This study explores the high ferulic acid and n-butanol tolerance in Lactobacillus brevis (L. brevis), a lactic acid bacteria often found in fermentation processes, by global transcriptional response analysis. The transcriptional profile of L. brevis under ferulic acid and butanol stress reveals that the presence of ferulic acid primarily triggers the expression of membrane proteins to counteract ferulic acid induced changes in membrane fluidity and ion leakage. In contrast to the ferulic acid stress response, butanol addition to growing cultures uniquely induced the entire fatty acid synthesis pathway in the midst of a generalized stress response. Overexpression of the rate-limiting acetyl-CoA carboxylase subunits (AccABCD) in E. coli to increase lipid synthesis had no effect on butanol tolerance, suggesting that additional engineering is necessary to produce sufficient levels of appropriate fatty acids to confer butanol tolerance. Several promising routes for understanding both phenolic acid and butanol tolerance have been identified based upon these findings. These insights may be used to guide further engineering of model industrial organisms to better tolerate both classes of inhibitors in processed biomass used for biofuel production. Cultures were grown to OD ~ 0.2 in MRS media (baffled flasks), T = 30 C, 100 rpm. Butanol was then added to the cultures. Samples were harvested 15, 75, and 135 min after butanol addition. Each time point has 3 biological replicates, and dye swaps were incorporated into the microarray experiments.

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Transcriptional profile (mRNA and sRNA) of Clostridium acetobutylicum to metabolite stress, butanol and butyrate

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