Literature DB >> 31164463

Concerns about "Stress-Induced MazF-Mediated Proteins in Escherichia coli".

Joseph T Wade1,2, Michael T Laub3,4.   

Abstract

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Keywords:  MazF; toxin/antitoxin systems; translation

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Year:  2019        PMID: 31164463      PMCID: PMC6550522          DOI: 10.1128/mBio.00825-19

Source DB:  PubMed          Journal:  mBio            Impact factor:   7.867


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LETTER

In their recent study, “Stress-Induced MazF-Mediated Proteins in Escherichia coli,” Nigam et al. (1) identified 42 Escherichia coli proteins whose expression increased following induction of the MazF RNase toxin by nalidixic acid (NA). Of the 42 corresponding genes, 36 have an ACA sequence, the target site for MazF cleavage, <100 nt upstream of their start codon. Based on this observation, Nigam et al. tested whether NA-dependent changes in the expression of a green fluorescent protein (GFP) reporter were affected by the positions of upstream ACA sequences. The major conclusion drawn by Nigam et al. was that the presence of an ACA sequence <100 nt upstream of a start codon is associated with MazF-dependent regulation of expression for the corresponding gene. As described in detail below, none of the data presented by Nigam et al. support this conclusion. As stated by Nigam et al. (1), ACA sequences are frequently found <100 nt upstream of genes in E. coli, as would be expected for any trinucleotide sequence. ACA sequences were found upstream of 36 of the 42 genes listed in Table 1 of the article by Nigam et al. While Nigam et al. describe this frequency as “remarkable,” it is anything but. In fact, for the 42 genes listed in their Table 1, the frequency of genes with an ACA trinucleotide <100 nt upstream is not significantly higher than that for the set of all E. coli genes (Fisher’s exact test, one tailed, P = 0.18) or the control set of 2,807 genes described by Nigam et al. as having a “free region upstream” (Fisher’s exact test, one tailed, P = 0.21). Thus, these data do not support the conclusion that upstream ACA sequences contribute to MazF-dependent regulation. Moreover, given that most 5′ untranslated region (UTR) lengths for E. coli genes are <50 nt (2), many of the ACA sequences listed in Table 1 of Nigam et al.’s article are expected to be located upstream of the transcription start site for the corresponding gene. For example, the grpE, tyrB, and upp 5′ UTRs are 39, 32, and 37 nt long, respectively (3–5), but the ACA sequences listed in Table 1 are 90, 74, and 81 nt upstream of the respective start codons and, hence, would not be present in the mRNAs. Nigam et al. (1) used a gfp reporter system to show that the position of an ACA sequence upstream of the start codon affects the degree to which GFP expression is affected by NA treatment. While the differences observed in GFP expression are modest, the effect of NA does appear to be dependent upon ACA position relative to the start codon. However, this experiment lacks a critical control to show that the effects of NA treatment are dependent upon MazF. Specifically, Nigam et al. did not determine whether the effects of ACA location on NA-dependent changes in GFP expression were lost in a strain lacking mazF. Without this key control experiment, it is impossible to conclude anything about the role of MazF from these data, since NA treatment likely impacts transcription due to its effects on supercoiling (6). Moreover, even if one assumes that upstream ACA sequences do impact MazF-mediated regulation, the likelihood of the gfp reporter construct showing this effect is very low, since only 36 genes from a pool of thousands with upstream ACA sequences were found to be upregulated by MazF. In summary, the data presented by Nigam et al. (1) do not support the conclusion that MazF cleavage at ACA sequences in mRNA 5′ UTRs leads to their increased translation. We propose that the genes described by Nigam et al. as being expressed more highly upon MazF induction are regulated indirectly as a consequence of widespread RNA processing by MazF. Consistent with this idea, for the 42 proteins identified by Nigam et al. as being upregulated by MazF, the corresponding genes are significantly enriched for genes whose expression is responsive to the stress-associated σ factors σ38 and σ32 (20/42 genes are upregulated upon σ38 expression [7], and 13/42 are transcribed by RNA polymerase associated with σ32 [8]; binomial-test P = 1.6e−09). Lastly, we note that the notion of a “stress-induced translation machinery” has not withstood careful additional and independent scrutiny by the field (9, 10) and that these very relevant studies were not cited by Nigam et al.
  10 in total

1.  Regulon and promoter analysis of the E. coli heat-shock factor, sigma32, reveals a multifaceted cellular response to heat stress.

Authors:  Gen Nonaka; Matthew Blankschien; Christophe Herman; Carol A Gross; Virgil A Rhodius
Journal:  Genes Dev       Date:  2006-07-01       Impact factor: 11.361

2.  Sequence analysis and transcriptional regulation of the Escherichia coli grpE gene, encoding a heat shock protein.

Authors:  B Lipinska; J King; D Ang; C Georgopoulos
Journal:  Nucleic Acids Res       Date:  1988-08-11       Impact factor: 16.971

Review 3.  DNA supercoiling is a fundamental regulatory principle in the control of bacterial gene expression.

Authors:  Charles J Dorman; Matthew J Dorman
Journal:  Biophys Rev       Date:  2016-11-14

4.  Global Analysis of the E. coli Toxin MazF Reveals Widespread Cleavage of mRNA and the Inhibition of rRNA Maturation and Ribosome Biogenesis.

Authors:  Peter H Culviner; Michael T Laub
Journal:  Mol Cell       Date:  2018-05-31       Impact factor: 17.970

5.  Molecular analysis of the regulatory region of the Escherichia coli K-12 tyrB gene.

Authors:  J Yang; J Pittard
Journal:  J Bacteriol       Date:  1987-10       Impact factor: 3.490

6.  Toxins MazF and MqsR cleave Escherichia coli rRNA precursors at multiple sites.

Authors:  Toomas Mets; Markus Lippus; David Schryer; Aivar Liiv; Villu Kasari; Anton Paier; Ülo Maiväli; Jaanus Remme; Tanel Tenson; Niilo Kaldalu
Journal:  RNA Biol       Date:  2016-11-18       Impact factor: 4.652

7.  Genome-Wide Transcriptional Response to Varying RpoS Levels in Escherichia coli K-12.

Authors:  Garrett T Wong; Richard P Bonocora; Alicia N Schep; Suzannah M Beeler; Anna J Lee Fong; Lauren M Shull; Lakshmi E Batachari; Moira Dillon; Ciaran Evans; Carla J Becker; Eliot C Bush; Johanna Hardin; Joseph T Wade; Daniel M Stoebel
Journal:  J Bacteriol       Date:  2017-03-14       Impact factor: 3.490

8.  Characterization of the upp gene encoding uracil phosphoribosyltransferase of Escherichia coli K12.

Authors:  P S Andersen; J M Smith; B Mygind
Journal:  Eur J Biochem       Date:  1992-02-15

9.  Stress-Induced MazF-Mediated Proteins in Escherichia coli.

Authors:  Akanksha Nigam; Tamar Ziv; Adi Oron-Gottesman; Hanna Engelberg-Kulka
Journal:  mBio       Date:  2019-03-26       Impact factor: 7.867

10.  Comparative analysis of regulatory elements between Escherichia coli and Klebsiella pneumoniae by genome-wide transcription start site profiling.

Authors:  Donghyuk Kim; Jay Sung-Joong Hong; Yu Qiu; Harish Nagarajan; Joo-Hyun Seo; Byung-Kwan Cho; Shih-Feng Tsai; Bernhard Ø Palsson
Journal:  PLoS Genet       Date:  2012-08-09       Impact factor: 5.917

  10 in total
  4 in total

Review 1.  Evaluating the Potential for Cross-Interactions of Antitoxins in Type II TA Systems.

Authors:  Chih-Han Tu; Michelle Holt; Shengfeng Ruan; Christina Bourne
Journal:  Toxins (Basel)       Date:  2020-06-26       Impact factor: 4.546

Review 2.  The Variety in the Common Theme of Translation Inhibition by Type II Toxin-Antitoxin Systems.

Authors:  Dukas Jurėnas; Laurence Van Melderen
Journal:  Front Genet       Date:  2020-04-17       Impact factor: 4.599

Review 3.  Type II Toxin-Antitoxin Systems: Evolution and Revolutions.

Authors:  Nathan Fraikin; Frédéric Goormaghtigh; Laurence Van Melderen
Journal:  J Bacteriol       Date:  2020-03-11       Impact factor: 3.490

4.  Reassessing the Role of the Type II MqsRA Toxin-Antitoxin System in Stress Response and Biofilm Formation: mqsA Is Transcriptionally Uncoupled from mqsR.

Authors:  Nathan Fraikin; Clothilde J Rousseau; Nathalie Goeders; Laurence Van Melderen
Journal:  mBio       Date:  2019-12-17       Impact factor: 7.867

  4 in total

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