scholarly journals The transcription regulator and c-di-GMP phosphodiesterase PdeL represses motility in Escherichia coli

2020 ◽  
pp. JB.00427-20
Author(s):  
Cihan Yilmaz ◽  
Aathmaja Anandhi Rangarajan ◽  
Karin Schnetz
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Enteric Bacteria ◽  
Soft Agar ◽  
Dual Function ◽  
Binding Studies ◽  
Transcription Regulator ◽  
Flagella Assembly

PdeL is a transcription regulator and catalytically active c-di-GMP phosphodiesterases (PDE) in Escherichia coli. PdeL has been shown to be a transcription autoregulator, while no other target genes have been identified so far. Here, we show that PdeL represses transcription of the flagella class II operon, fliFGHIJK, and activates sslE encoding an extracellular anchored metalloprotease, among additional loci. DNA-binding studies and expression analyses using plasmidic reporters suggest that regulation of the fliF and sslE promoters by PdeL is direct. Transcription repression of the fliFGHIJK operon, encoding protein required for assembly of the flagellar basal body, results in inhibition of motility on soft agar plates and reduction of flagella assembly, as shown by fluorescence staining of the flagella hook protein FlgE. PdeL-mediated repression of motility is independent of its phosphodiesterase activity. Thus, in motility control the transcription regulator function of PdeL reducing the number of assembled flagella is apparently epistatic to its phosphodiesterase function, which can indirectly promote the activity of the flagellar motor by lowering the c-di-GMP concentration.Bacteria adopt different lifestyles depending on their environment and physiological condition. In Escherichia coli and other enteric bacteria the transition between the motile and the sessile state is controlled at multiple levels from the regulation of gene expression to the modulation of various processes by the second messenger c-di-GMP as signaling molecule. The significance of our research is in identifying PdeL, a protein of dual function that hydrolyzes c-di-GMP and that regulates transcription of genes, as a repressor of Flagella gene expression and an inhibitor of motility, which adds an additional regulatory switch to the control of motility.

scholarly journals Temporal Regulation of Gene Expression of the Escherichia coli Bacteriophage phiEco32

2012 ◽  
Vol 416 (3) ◽  
pp. 389-399 ◽  
Author(s):  
Olga Pavlova ◽  
Daria Lavysh ◽  
Evgeny Klimuk ◽  
Marko Djordjevic ◽  
Dmitry A. Ravcheev ◽  
...  
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Regulation Of Gene Expression ◽  
Temporal Regulation

A TRIPARTITE CLUSTERING ANALYSIS ON MICRORNA, GENE AND DISEASE MODEL

2012 ◽  
Vol 10 (01) ◽  
pp. 1240007 ◽  
Author(s):  
CHENGCHENG SHEN ◽  
YING LIU
Keyword(s):  
Gene Expression ◽  
Clustering Algorithm ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Disease Model ◽  
Relational Information ◽  
Microrna Gene ◽  
Research Findings ◽  
Family Based

Alteration of gene expression in response to regulatory molecules or mutations could lead to different diseases. MicroRNAs (miRNAs) have been discovered to be involved in regulation of gene expression and a wide variety of diseases. In a tripartite biological network of human miRNAs, their predicted target genes and the diseases caused by altered expressions of these genes, valuable knowledge about the pathogenicity of miRNAs, involved genes and related disease classes can be revealed by co-clustering miRNAs, target genes and diseases simultaneously. Tripartite co-clustering can lead to more informative results than traditional co-clustering with only two kinds of members and pass the hidden relational information along the relation chain by considering multi-type members. Here we report a spectral co-clustering algorithm for k-partite graph to find clusters with heterogeneous members. We use the method to explore the potential relationships among miRNAs, genes and diseases. The clusters obtained from the algorithm have significantly higher density than randomly selected clusters, which means members in the same cluster are more likely to have common connections. Results also show that miRNAs in the same family based on the hairpin sequences tend to belong to the same cluster. We also validate the clustering results by checking the correlation of enriched gene functions and disease classes in the same cluster. Finally, widely studied miR-17-92 and its paralogs are analyzed as a case study to reveal that genes and diseases co-clustered with the miRNAs are in accordance with current research findings.

scholarly journals Elucidation of Regulatory Modes for Five Two-Component Systems in Escherichia coli Reveals Novel Relationships

mSystems ◽  
2020 ◽  
Vol 5 (6) ◽  
Author(s):  
Kumari Sonal Choudhary ◽  
Julia A. Kleinmanns ◽  
Katherine Decker ◽  
Anand V. Sastry ◽  
Ye Gao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Target Gene ◽  
Target Genes ◽  
Rna Seq ◽  
Content Type ◽  
E Coli ◽  
Component Systems ◽  
Two Component ◽  
Two Component Systems

ABSTRACT Escherichia coli uses two-component systems (TCSs) to respond to environmental signals. TCSs affect gene expression and are parts of E. coli’s global transcriptional regulatory network (TRN). Here, we identified the regulons of five TCSs in E. coli MG1655: BaeSR and CpxAR, which were stimulated by ethanol stress; KdpDE and PhoRB, induced by limiting potassium and phosphate, respectively; and ZraSR, stimulated by zinc. We analyzed RNA-seq data using independent component analysis (ICA). ChIP-exo data were used to validate condition-specific target gene binding sites. Based on these data, we do the following: (i) identify the target genes for each TCS; (ii) show how the target genes are transcribed in response to stimulus; and (iii) reveal novel relationships between TCSs, which indicate noncognate inducers for various response regulators, such as BaeR to iron starvation, CpxR to phosphate limitation, and PhoB and ZraR to cell envelope stress. Our understanding of the TRN in E. coli is thus notably expanded. IMPORTANCE E. coli is a common commensal microbe found in the human gut microenvironment; however, some strains cause diseases like diarrhea, urinary tract infections, and meningitis. E. coli’s two-component systems (TCSs) modulate target gene expression, especially related to virulence, pathogenesis, and antimicrobial peptides, in response to environmental stimuli. Thus, it is of utmost importance to understand the transcriptional regulation of TCSs to infer bacterial environmental adaptation and disease pathogenicity. Utilizing a combinatorial approach integrating RNA sequencing (RNA-seq), independent component analysis, chromatin immunoprecipitation coupled with exonuclease treatment (ChIP-exo), and data mining, we suggest five different modes of TCS transcriptional regulation. Our data further highlight noncognate inducers of TCSs, which emphasizes the cross-regulatory nature of TCSs in E. coli and suggests that TCSs may have a role beyond their cognate functionalities. In summary, these results can lead to an understanding of the metabolic capabilities of bacteria and correctly predict complex phenotype under diverse conditions, especially when further incorporated with genome-scale metabolic models.

scholarly journals Physiological Studies of Escherichia coli Strain MG1655: Growth Defects and Apparent Cross-Regulation of Gene Expression

2003 ◽  
Vol 185 (18) ◽  
pp. 5611-5626 ◽  
Author(s):  
Eric Soupene ◽  
Wally C. van Heeswijk ◽  
Jacqueline Plumbridge ◽  
Valley Stewart ◽  
Daniel Bertenthal ◽  
...  
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Dna Microarrays ◽  
Degradation Products ◽  
Regulatory Gene ◽  
Regulation Of Gene Expression ◽  
Nitrate Respiration ◽  
Starch Degradation ◽  
Strain Mg1655 ◽  
Growth Defects

ABSTRACT Escherichia coli strain MG1655 was chosen for sequencing because the few mutations it carries (ilvG rfb-50 rph-1) were considered innocuous. However, it has a number of growth defects. Internal pyrimidine starvation due to polarity of the rph-1 allele on pyrE was problematic in continuous culture. Moreover, the isolate of MG1655 obtained from the E. coli Genetic Stock Center also carries a large deletion around the fnr (fumarate-nitrate respiration) regulatory gene. Although studies on DNA microarrays revealed apparent cross-regulation of gene expression between galactose and lactose metabolism in the Stock Center isolate of MG1655, this was due to the occurrence of mutations that increased lacY expression and suppressed slow growth on galactose. The explanation for apparent cross-regulation between galactose and N-acetylglucosamine metabolism was similar. By contrast, cross-regulation between lactose and maltose metabolism appeared to be due to generation of internal maltosaccharides in lactose-grown cells and may be physiologically significant. Lactose is of restricted distribution: it is normally found together with maltosaccharides, which are starch degradation products, in the mammalian intestine. Strains designated MG1655 and obtained from other sources differed from the Stock Center isolate and each other in several respects. We confirmed that use of other E. coli strains with MG1655-based DNA microarrays works well, and hence these arrays can be used to study any strain of interest. The responses to nitrogen limitation of two urinary tract isolates and an intestinal commensal strain isolated recently from humans were remarkably similar to those of MG1655.

Regulation of Gene Expression by Oxygen in Escherichia coli

1990 ◽  
pp. 134-145 ◽  
Author(s):  
J. R. Guest ◽  
J. Green ◽  
S. Spiro ◽  
C. Prodromou ◽  
A. D. Sharrocks
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Regulation Of Gene Expression

scholarly journals Identifying genetic modulators of the connectivity between transcription factors and their transcriptional targets

2016 ◽  
Vol 113 (13) ◽  
pp. E1835-E1843 ◽  
Author(s):  
Mina Fazlollahi ◽  
Ivor Muroff ◽  
Eunjee Lee ◽  
Helen C. Causton ◽  
Harmen J. Bussemaker
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Nonsynonymous Mutation ◽  
Gene Regulatory ◽  
Genetic Modulators

Regulation of gene expression by transcription factors (TFs) is highly dependent on genetic background and interactions with cofactors. Identifying specific context factors is a major challenge that requires new approaches. Here we show that exploiting natural variation is a potent strategy for probing functional interactions within gene regulatory networks. We developed an algorithm to identify genetic polymorphisms that modulate the regulatory connectivity between specific transcription factors and their target genes in vivo. As a proof of principle, we mapped connectivity quantitative trait loci (cQTLs) using parallel genotype and gene expression data for segregants from a cross between two strains of the yeast Saccharomyces cerevisiae. We identified a nonsynonymous mutation in the DIG2 gene as a cQTL for the transcription factor Ste12p and confirmed this prediction empirically. We also identified three polymorphisms in TAF13 as putative modulators of regulation by Gcn4p. Our method has potential for revealing how genetic differences among individuals influence gene regulatory networks in any organism for which gene expression and genotype data are available along with information on binding preferences for transcription factors.

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