Deeper below the surface-transcriptional changes in selected genes of Clostridium beijerinckii in response to butanol shock.
Petra PatakovaJan KolekKaterina JureckovaBarbora BranskaKarel SedlarMaryna VasylkivskaIvo ProvaznikPublished in: MicrobiologyOpen (2020)
The main bottleneck in the return of industrial butanol production from renewable feedstock through acetone-butanol-ethanol (ABE) fermentation by clostridia, such as Clostridium beijerinckii, is the low final butanol concentration. The problem is caused by the high toxicity of butanol to the production cells, and therefore, understanding the mechanisms by which clostridia react to butanol shock is of key importance. Detailed analyses of transcriptome data that were obtained after butanol shock and their comparison with data from standard ABE fermentation have resulted in new findings, while confirmed expected population responses. Although butanol shock resulted in upregulation of heat shock protein genes, their regulation is different than was assumed based on standard ABE fermentation transcriptome data. While glucose uptake, glycolysis, and acidogenesis genes were downregulated after butanol shock, solventogenesis genes were upregulated. Cyclopropanation of fatty acids and formation of plasmalogens seem to be significant processes involved in cell membrane stabilization in the presence of butanol. Surprisingly, one of the three identified Agr quorum-sensing system genes was upregulated. Upregulation of several putative butanol efflux pumps was described after butanol addition and a large putative polyketide gene cluster was found, the transcription of which seemed to depend on the concentration of butanol.
Keyphrases
- genome wide
- heat shock protein
- genome wide identification
- transcription factor
- poor prognosis
- bioinformatics analysis
- signaling pathway
- electronic health record
- dna methylation
- fatty acid
- risk assessment
- single cell
- cell death
- big data
- genome wide analysis
- blood pressure
- wastewater treatment
- long non coding rna
- metabolic syndrome
- endoplasmic reticulum stress
- data analysis
- machine learning
- lactic acid
- heat shock
- pi k akt