scispace - formally typeset
Open AccessJournal ArticleDOI

Host Monitoring of Quorum Sensing During Pseudomonas aeruginosa Infection

Reads0
Chats0
TLDR
The aryl hydrocarbon receptor (AhR) directly recognizes pigmented bacterial virulence factors, such as the phenazines produced by Pseudomonas aeruginosa, which are downstream products of QS, and signals to the host to tune immune responses according to the stage and state of infection.
Abstract
Pseudomonas aeruginosa rapidly adapts to altered conditions by quorum sensing (QS), a communication system that it uses to collectively modify its behavior through the production, release, and detection of signaling molecules. QS molecules can also be sensed by hosts, although the respective receptors and signaling pathways are poorly understood. We describe a pattern of regulation in the host by the aryl hydrocarbon receptor (AhR) that is critically dependent on qualitative and quantitative sensing of P. aeruginosa quorum. QS molecules bind to AhR and distinctly modulate its activity. This is mirrored upon infection with P. aeruginosa collected from diverse growth stages and with QS mutants. We propose that by spying on bacterial quorum, AhR acts as a major sensor of infection dynamics, capable of orchestrating host defense according to the status quo of infection.

read more

Content maybe subject to copyright    Report

Submitted Manuscript: Confidential
1
Host monitoring of quorum sensing during Pseudomonas aeruginosa
1
infection
2
Authors: Pedro Moura-Alves
1,2*
, Andreas Puyskens
1
, Anne Stinn
1,3,4,5
, Marion Klemm
1
, Ute
3
Guhlich-Bornhof
1
, Anca Dorhoi
1,6,7
, Jens Furkert
8
, Annika Kreuchwig
8
, Jonas Protze
8
, Laura
4
Lozza
1,9
, Gang Pei
1
, Philippe Saikali
1
, Carolina Perdomo
1
, Hans J. Mollenkopf
10
, Robert
5
Hurwitz
11
, Frank Kirschhoefer
12
, Gerald Brenner-Weiss
11
, January Weiner 3
rd1
, Hartmut
6
Oschkinat
8
, Michael Kolbe
3,4,5
, Gerd Krause
8
, Stefan H.E. Kaufmann
1,13*
7
8
Affiliations:
9
1
Max Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, 10117
10
Berlin, Germany.
11
2
Nuffield Department of Clinical Medicine, Ludwig Institute for Cancer Research, University
12
of Oxford, Oxford, UK.
13
3
Max Planck Institute for Infection Biology, Structural Systems Biology, Charitéplatz 1, 10117
14
Berlin, Germany.
15
4
Department of Structural Infection Biology, Centre for Structural Systems Biology (CSSB),
16
Helmholtz-Centre for Infection Research (HZI), Notkestraße 85, 22607 Hamburg, Germany.
17
5
Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg,
18
Rothenbaumchaussee 19, 20148 Hamburg, Germany.
19
6
Institute of Immunology, Friedrich-Loeffler Institut, Greifswald - Insel Riems, Germany.
20
7
Faculty of Mathematics and Natural Sciences, University of Greifswald, Greifswald,
21
Germany.
22
8
Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10,
23
13125 Berlin, Germany.
24
9
Epiontis GmbH - Precision for Medicine, Barbara-McClintock- Str. 6, 12489 Berlin,
25
Germany.
26
10
Microarray Core Facility, Max Planck Institute for Infection Biology, Department of
27
Immunology, Charitéplatz 1, 10117 Berlin, Germany.
28

Submitted Manuscript: Confidential
2
11
Protein Purification Core Facility, Max Planck Institute for Infection Biology, Charitéplatz
29
1, 10117 Berlin, Germany.
30
12
Institute of Functional Interfaces, Karlsruhe Institute of Technology, Karlsruhe, Germany.
31
13
Hagler Institute for Advanced Study at Texas A&M University, College Station, TX 7843.
32
33
*Correspondence to: pedro.mouraalves@ludwig.ox.ac.uk ; kaufmann@mpiib-berlin.mpg.de
34
35

Submitted Manuscript: Confidential
3
Abstract: Pseudomonas aeruginosa (P.aeruginosa) rapidly adapts to altered conditions by
36
quorum sensing (QS), a communication system used to collectively modify its behaviour, via
37
production, release and detection of signalling molecules. QS molecules can also be sensed by
38
hosts, however respective receptors and signalling pathways are poorly understood. We
39
describe a unique pattern of regulation in the host by the Aryl hydrocarbon Receptor (AhR),
40
critically dependent on qualitative and quantitative sensing of P.aeruginosa quorum. QS
41
molecules bind to the AhR and distinctly modulate its activity. This is mirrored upon infection
42
with P.aeruginosa collected from diverse growth stages and with QS-mutants. We propose that
43
by spying on bacterial quorum, the AhR is a major sensor of infection dynamics, capable of
44
orchestrating host defence according to the status quo of infection.
45
46
One Sentence Summary: By sensing bacterial communication the Aryl hydrocarbon Receptor
47
modulates host defence according to the level of threat.
48
49
Main Text:
50
Pseudomonas aeruginosa (P.aeruginosa) is a resourceful and ubiquitous gram-
51
negative bacterium that causes infectious diseases in a broad spectrum of organisms, including
52
plants, animals and humans(1). Its prevalence in burn victims, Cystic Fibrosis (CF) patients
53
and immunocompromised individuals, such as AIDS patients, is commonly associated with a
54
poor, often fatal outcome(2). P.aeruginosa is also a major cause of nosocomial infections, such
55
as bacterial pneumonia, urinary tract infection and surgical-wound contamination(1). Because
56
of its profound antibiotic resistance, therapy of P.aeruginosa is extremely difficult(1).
57
Moreover, this pathogen possesses a wide range of mechanisms to adapt to different and
58
sometimes harsh environments, further aggravating its eradication, even by antibiotic
59
treatment(1). One such important and unifying mechanism is the capacity of P.aeruginosa to
60
perform quorum sensing (QS)(1, 3, 4). QS is a cell-to-cell signalling mechanism employed by
61
different bacteria to coordinate their activities in response to changes in community density,
62
via chemical communication using different diffusible molecules, so called autoinducers (AI),
63
and their receptors (Fig.1A)(3, 4). In P.aeruginosa, QS regulates production of a vast set of
64
virulence factors, such as extracellular proteases and phenazines, and is crucial for colonization
65
and infection, regulating diverse mechanisms such as biofilm formation and antimicrobial
66
resistance(1, 3-5). Differences in P.aeruginosa virulence and transition from acute to chronic
67
infection have been linked to changes in autoinducer levels, as well as in the expression of QS
68

Submitted Manuscript: Confidential
4
regulated genes(1, 3, 6-8). Consequently, QS constitutes an obvious target in the current search
69
for novel treatment options for P.aeruginosa infections(3, 4, 9). Noteworthy, changes in
70
expression of AI, and QS regulated genes, may not only impact on bacterial community
71
dynamics, but also on the host response during infection. It has been previously reported that
72
different QS regulated molecules, such as homoserine lactones (HSL), quinolones and
73
phenazines, can interact with host cells, influencing a broad range of responses, including
74
immunomodulation(9). Thus far, the host receptors and signalling pathways, as well as the
75
mechanisms involved in monitoring infection dynamics are incompletely understood.
76
Recently, we have demonstrated that the Aryl Hydrocarbon Receptor (AhR), a highly
77
conserved ligand dependent transcription factor, directly recognizes P.aeruginosa phenazines,
78
and thereby plays an important role in infection control(10). AhR binds to phenazines, mediates
79
their degradation and regulates the expression of several host genes including detoxifying
80
enzymes, chemokines and cytokines. Accordingly, resistance of AhR deficient (AhR
-/-
) mice to
81
P.aeruginosa is diminished(10). Taking into consideration the vast set of ligands that the AhR
82
is able to detect and the numerous biological roles it can exert, we hypothesized that AhR
83
monitors the course of bacterial infection and disease by sensing different bacterial QS
84
molecules expressed at various stages of infection (Fig.1A), and thereby orchestrates the most
85
appropriate immune response against different stages of infection.
86
87
Results
88
AhR senses bacterial QS molecules in vitro
89
Using luciferase AhR reporter cells(10), we infected THP-1 macrophages (THP-1 AhR
90
reporter) and A549 alveolar type II pneumocytes (A549 AhR reporter) with P.aeruginosa
91
laboratory wild type (WT) UCBPP-PA14 (PA14 WT) and GFP labelled (PA14 WT-GFP)
92
strains collected from distinct stages of bacterial growth (early log: OD600<0.3; mid log:
93
0.5<OD600<0.8; late log: OD600>1). AhR was more profoundly activated by bacteria from
94
later growth phases (Fig.1B and Fig.S1A), while multiplicity of infection (MOI, Fig.S1B) and
95
percentage of infected cells remained comparable over the different growth stages
96
(Fig.S1C,D).Similar results were obtained with filtered bacterial supernatants from PA14-WT
97
strains (Fig.1C and Fig.S1E), pointing to different AhR signalling by distinct P.aeruginosa
98
molecules. A comparable phenotype was observed using supernatants from PAO1, a different
99
commonly used P.aeruginosa laboratory strain (Fig.S1F). Amongst the obvious candidates are
100

Submitted Manuscript: Confidential
5
the P.aeruginosa phenazines, previously identified as AhR ligands (10). Consistently,
101
increasing concentrations of the P.aeruginosa phenazine pyocyanin (Pyo) were detected in
102
PA14 supernatants along bacterial growth (Fig.S1G, H), correlating with the observed AhR
103
activation (Fig.1B,C and Fig.S1A,E).
104
Phenazines are part of the QS regulated molecules expressed by P.aeruginosa, with
105
Pyo providing a terminal signal of QS(3, 4, 11, 12). P.aeruginosa QS is regulated by four
106
tightly controlled pathways, namely Las, Rhl, Pqs and Iqs (Fig.1A)(3, 4, 12). These pathways
107
are tightly interconnected and their cognate autoinducer molecules are capable of activating a
108
distinct downstream transcriptional pathway (Fig.1A). In brief, N-3-oxo-dodecanoyl-
109
homoserine lactone (3-o-C12-L-HSL) and N-butanoyl-homoserine lactone (C4-L-HSL) are
110
produced in a sequential manner via Las and Rhl systems, and activate the receptors LasR and
111
RhlR, respectively(3, 4, 12). A third pathway, Pqs, leads to the synthesis of the Pseudomonas
112
quinolone signalling molecule (2-heptyl-3-hydroxy-4-quinolone, PQS), and its precursor 4-
113
hydroxy-2-heptylquinoline (HHQ), which signal via the PqsR(3, 4, 12). Recently, the Iqs
114
pathway has been discovered, however the mechanism of 2-(2-hydroxyphenyl)-thiazole-4-
115
carbaldehyde (IQS) production and its receptor are less understood(1, 3). Using high-
116
performance liquid chromatography (HPLC), we confirmed a sequential autoinducer
117
abundance in the supernatants of PA14 (Fig.1D). Considering the unique expression profiles
118
of the QS molecules 3-o-C12-L-HSL, C4-L-HSL, HHQ and PQS, we determined their ability
119
to modulate canonical AhR signalling. Stimulation of THP-1 and A549 AhR reporter cells with
120
the different P.aeruginosa QS molecules resulted in differential modulation of AhR signalling
121
(Fig.1E). The 3-o-C12-L-HSL and HHQ potently inhibited AhR activation by the known
122
Pseudomonas AhR ligand 1-hydroxyphenazine (1-HP)(10), in a dose dependent manner
123
(Fig.1F,G). Several QS molecules have been reported to induce apoptosis in host cells,
124
depending on the concentration, cell type and exposure time(13, 14). No major differences in
125
cell viability were detected for the majority of the conditions tested here, as measured by lactate
126
dehydrogenase (LDH) release (Fig.S2A). An exception occurred after 24h stimulation of THP-
127
1 cells with high concentrations of 3-o-C12-L-HSL (Fig.S2A). These results are in agreement
128
with previous studies showing that epithelial cells, such as A549, are more resistant to 3-o-
129
C12-L-HSL induced apoptosis than macrophages(13, 14). All experiments with THP-1 cells in
130
the presence of 3-o-C12-L-HSL were performed at earlier time points, when no differences in
131
cell viability were detected. Yet, we decided to further exclude a possible relationship between
132

Figures
Citations
More filters
Journal ArticleDOI

De novo design of an intercellular signaling toolbox for multi-channel cell-cell communication and biological computation.

TL;DR: The chemical diversity of biological small molecules is exploited to de novo design a genetic toolbox for high-performance, multi-channel cell–cell communications and biological computations for complex multicellularity including artificial ecosystems and smart tissues.
Journal ArticleDOI

Aryl hydrocarbon receptor (AHR) functions: Balancing opposing processes including inflammatory reactions

TL;DR: It is proposed that inflammatory responses may be beneficially modulated by AHR agonistic and CD38 inhibiting phytochemicals.
Journal ArticleDOI

How the AHR Became Important in Intestinal Homeostasis—A Diurnal FICZ/AHR/CYP1A1 Feedback Controls Both Immunity and Immunopathology

TL;DR: It is now of key interest to examine the potential involvement of FICZ, a major physiological activator of the AHR, in inflammatory disorders and autoimmunity.
Journal ArticleDOI

Manipulation of epithelial integrity and mucosal immunity by host and microbiota-derived metabolites.

TL;DR: In this paper, the authors discuss physiological functions of the microbiota and its metabolites in regulating host immune system and reinforcing epithelial barrier functions, and further understand these processes will aid in identification of novel therapeutic targets and subsequent development of therapeutic interventions in a range of chronic inflammatory diseases.
References
More filters
Journal ArticleDOI

A new mathematical model for relative quantification in real-time RT-PCR.

TL;DR: This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript and presents a new mathematical model that needs no calibration curve.
Journal ArticleDOI

limma powers differential expression analyses for RNA-sequencing and microarray studies

TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Journal ArticleDOI

Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

TL;DR: Comparisons to results for the thymidine kinase and estrogen receptors published by Rognan and co-workers show that Glide 2.5 performs better than GOLD 1.1, FlexX 1.8, or DOCK 4.01.
Journal ArticleDOI

Comparative Protein Structure Modeling Using MODELLER

TL;DR: This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications.
Journal ArticleDOI

QUORUM SENSING: Cell-to-Cell Communication in Bacteria

TL;DR: This review focuses on the architectures of bacterial chemical communication networks; how chemical information is integrated, processed, and transduced to control gene expression; how intra- and interspecies cell-cell communication is accomplished; and the intriguing possibility of prokaryote-eukaryote cross-communication.
Related Papers (5)
Frequently Asked Questions (13)
Q1. What are the contributions in this paper?

In this paper, Moura-Alves et al. present a host monitoring of quorum sensing during Pseudomonas aeruginosa infection. 

The first step in molecular docking via Maestro11v0 is to set up the receptor grid defining shape and properties of the receptor binding site, important for scoring the ligand poses in a later step. 

Glide docking methodologies use a series of hierarchical filters searching for possible ligand positions in the receptor binding-site. 

Microarray image data were processed with the Image Analysis/Feature Extraction software G2567AA v. A.11.5.1.1 (Agilent Technologies) using default settings and the GE1_1105_Oct12 extraction protocol. 

Scanning of microarrays was performed with either 3 μm resolution (8x60K) or extended dynamic range (XDR) and 5 µm resolution (4x44K) using a G2565CA high-resolution laser microarray scanner (Agilent Technologies). 

cells were harvested in reporter lysis buffer (Promega) and lysates were used to determine luciferase activity using Luciferase Assay System (Promega) according to manufacturer’s instructions. 

The cells were pelleted, and following lysis of red blood cells and another wash with medium, the cells were resuspended in Fc block and subsequently stained for flow cytometry (FACS). 

(B-E) Shiner et al (80) reported that apoptosis induced by 3-o-C12-L-HSL can be blocked by Lanthanum chloride (LaCl3), leaving its immunomodulatory properties unaffected. 

To compute P values, depending on sample distribution and variation, different tests were performed, as described in figure legends. 

1.12 3.22E-03A_15_P596492 Unknown 1.01 1.90E-06gnb3aref|Danio rerio guanine nucleotide binding protein (G protein), beta polypeptide 3a (gnb3a), mRNA [NM_001002437] 0.99 8.50E-03egln3ref|Danio rerio egl-9 family hypoxiainducible factor 3 (egln3), mRNA [NM_213310] 0.98 5.26E-04nos1apaens|nitric oxide synthase 1 (neuronal) adaptor protein a [Source:ZFIN;Acc:ZDB-GENE-0810241] [ENSDART00000148997] 0.95 1.59E-02ndrg4ref|Danio rerio NDRG family member 4 (ndrg4), mRNA [NM_001045173] 0.91 1.57E-02ponzr3ref|Danio rerio plac8 onzin related protein 3 (ponzr3), mRNA [NM_001327984] 0.91 3.84E-02myhz1.2ref|Danio rerio myosin, heavy polypeptide 1.2, skeletal muscle (myhz1.2), mRNA [NM_001161446] 0.91 9.44E-04slc13a2ref|Danio rerio solute carrier family 13 (sodium-dependent dicarboxylate transporter), member 2 (slc13a2), mRNA [NM_213452] 0.88 1.69E-04hpdaref|Danio rerio 4-hydroxyphenylpyruvate dioxygenase a (hpda), mRNA [NM_201167] 0.87 2.01E-03pck1ref|Danio rerio phosphoenolpyruvate carboxykinase 1 (soluble) (pck1), mRNA [NM_214751] 0.84 5.14E-04NP13318914tc|GB|XM_001919200.1|XP_001919235. 1 hypothetical protein [NP13318914] 0.83 2.61E-03ampd1ref|Danio rerio adenosine monophosphate deaminase 1 (isoform M) (ampd1), mRNA [NM_200893] 0.83 4.55E-03exoc1ref|Danio rerio exocyst complex component 1 (exoc1), mRNA [NM_199597] 0.83 1.65E-02bcl6abref|Danio rerio B cell CLL/lymphoma 6ab (bcl6ab), mRNA [NM_001100074] 

Quality control and quantification of total RNA was analysed using an Agilent 2100 Bioanalyzer (Agilent Technologies) and a NanoDrop 1000 UV-Vis spectrophotometer (Thermo Fisher Scientific). 

(B,C) Luciferase activity of hepatocytic (Hepa-1c1c7) luciferase AhR reporter upon 4h stimulation with 1-HP (50 µM) in the presence or absence of different concentrations of QS molecules. 

(E) Best docking pose for each of the investigated ligands as 2D-interaction plot (green dashed: hydrogen donor, red dashed: hydrogen acceptor, orange: hydrophobic interactions (plots drawn by LigandScout 4.1).