Literature DB >> 33730068

High-throughput transcriptome sequencing and comparative analysis of Escherichia coli and Schizosaccharomyces pombe in respiratory and fermentative growth.

Joivier Vichi1, Emmanuel Salazar1, Verónica Jiménez Jacinto2, Leticia Olvera Rodriguez2, Ricardo Grande2, Edgar Dantán-González3, Enrique Morett2, Armando Hernández-Mendoza1.   

Abstract

In spite of increased complexity in eukaryotes compared to prokaryotes, several basic metabolic and regulatory processes are conserved. Here we explored analogies in the eubacteria Escherichia coli and the unicellular fission yeast Schizosaccharomyces pombe transcriptomes under two carbon sources: 2% glucose; or a mix of 2% glycerol and 0.2% sodium acetate using the same growth media and growth phase. Overall, twelve RNA-seq libraries were constructed. A total of 593 and 860 genes were detected as differentially expressed for E. coli and S. pombe, respectively, with a log2 of the Fold Change ≥ 1 and False Discovery Rate ≤ 0.05. In aerobic glycolysis, most of the expressed genes were associated with cell proliferation in both organisms, including amino acid metabolism and glycolysis. In contrast in glycerol/acetate condition, genes related to flagellar assembly and membrane proteins were differentially expressed such as the general transcription factors fliA, flhD, flhC, and flagellum assembly genes were detected in E. coli, whereas in S. pombe genes for hexose transporters, integral membrane proteins, galactose metabolism, and ncRNAs related to cellular stress were overexpressed. In general, our study shows that a conserved "foraging behavior" response is observed in these eukaryotic and eubacterial organisms in gluconeogenic carbon sources.

Entities:  

Year:  2021        PMID: 33730068      PMCID: PMC7968713          DOI: 10.1371/journal.pone.0248513

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  65 in total

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Journal:  Appl Microbiol Biotechnol       Date:  2006-08-30       Impact factor: 4.813

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

4.  Humanized mouse models to study human diseases.

Authors:  Michael A Brehm; Leonard D Shultz; Dale L Greiner
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2010-04       Impact factor: 3.243

Review 5.  Yeast carbon catabolite repression.

Authors:  J M Gancedo
Journal:  Microbiol Mol Biol Rev       Date:  1998-06       Impact factor: 11.056

6.  Comprehensive mapping of the Escherichia coli flagellar regulatory network.

Authors:  Devon M Fitzgerald; Richard P Bonocora; Joseph T Wade
Journal:  PLoS Genet       Date:  2014-10-02       Impact factor: 5.917

7.  Identification of novel sRNAs involved in biofilm formation, motility, and fimbriae formation in Escherichia coli.

Authors:  Geunu Bak; Jungmin Lee; Shinae Suk; Daun Kim; Ji Young Lee; Kwang-Sun Kim; Byong-Seok Choi; Younghoon Lee
Journal:  Sci Rep       Date:  2015-10-15       Impact factor: 4.379

8.  Functional and regulatory profiling of energy metabolism in fission yeast.

Authors:  Michal Malecki; Danny A Bitton; Maria Rodríguez-López; Charalampos Rallis; Noelia Garcia Calavia; Graeme C Smith; Jürg Bähler
Journal:  Genome Biol       Date:  2016-11-25       Impact factor: 13.583

9.  A large gene family in fission yeast encodes spore killers that subvert Mendel's law.

Authors:  Wen Hu; Zhao-Di Jiang; Fang Suo; Jin-Xin Zheng; Wan-Zhong He; Li-Lin Du
Journal:  Elife       Date:  2017-06-20       Impact factor: 8.140

10.  Interfacing cellular networks of S. cerevisiae and E. coli: connecting dynamic and genetic information.

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Journal:  BMC Genomics       Date:  2013-05-11       Impact factor: 3.969

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  1 in total

1.  Transcriptomic profiling of Escherichia coli K-12 in response to a compendium of stressors.

Authors:  Rama P Bhatia; Hande A Kirit; Alexander V Predeus; Jonathan P Bollback
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

  1 in total

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