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Mapping regulatory networks of Zymomonas mobilis small RNAs Zms4 and Zms6

ABSTRACT: sRNAs represent a powerful class of regulators that influence multiple mRNA targets but remain largely uncharacterized outside of model organisms. Zymomonas mobilis is a natural ethanol-producing bacterium in which multiple small RNAs (sRNAs) have recently been identified, some of which show differential expression in ethanol stress. In this study, we show that sRNAs Zms4 and Zms6 have significant impacts on ethanol tolerance in Z. mobilis. We have conducted multi-omics analyses (including transcriptomics and sRNA-immunoprecipitation) to map gene networks under the influence of their regulation.

ORGANISM(S): Zymomonas mobilis

PROVIDER: GSE107219 | GEO | 2020/03/24

REPOSITORIES: GEO

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Project description:Background Zymomonas mobilis ZM4 is a capable ethanologenic bacterium with high ethanol productivity and ethanol tolerance. Previous studies indicated that several stress-related proteins and changes in the ZM4 membrane lipid composition may contribute to ethanol tolerance. However, the molecular mechanisms of its ethanol stress response have not been elucidated fully. Methodology/Principal Findings In this study, ethanol stress responses were investigated using systems biology approaches. Medium supplementation with an initial 47 g/L (6% v/v) ethanol reduced Z. mobilis ZM4 glucose consumption, growth rate and ethanol productivity compared to that of untreated controls. A proteomic analysis of early exponential growth identified about one thousand proteins, or approximately 55% of the predicted ZM4 proteome. Proteins related to metabolism and stress response such as chaperones and key regulators were more abundant in the early ethanol stress condition. Transcriptomic studies indicated that the response of ZM4 to ethanol is dynamic, complex and involves many genes from all the different functional categories. Most down-regulated genes were related to translation and ribosome biogenesis, while the ethanol-upregulated genes were mostly related to cellular processes and metabolism. Transcriptomic data were used to update Z. mobilis ZM4 operon models. Furthermore, correlations among the transcriptomic, proteomic and metabolic data were examined. Among significantly expressed genes or proteins, we observe higher correlation coefficients when fold-change values are higher. Conclusions Our study has provided insights into the responses of Z. mobilis to ethanol stress through an integrated “omics” approach for the first time. This systems biology study elucidated key Z. mobilis ZM4 metabolites, genes and proteins that form the foundation of its distinctive physiology and its multifaceted response to ethanol stress. A sixteen array study using total RNA recovered from wild-type cultures of Zymomonas mobilis subsp mobilis ZM4 at different time points of 6, 10, 13.5, and 26h post-inoculation with 6% (v/v) treatment compred to that of control without ethanol supplementation. Two biological replicates for treatment and control condition.

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Mapping regulatory networks of Zymomonas mobilis small RNAs Zms4 and Zms6

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