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. 2020 May 19;2(7):acmi000132. doi: 10.1099/acmi.0.000132

Tracking the genome of four Pseudomonas aeruginosa isolates that have a defective Las quorum-sensing system, but are still virulent

Enrique Martínez-Carranza 1, Selene García-Reyes 1, Abigail González-Valdez 1, Gloria Soberón-Chávez 1,*
PMCID: PMC7497837  PMID: 32974595

Abstract

In this work we analysed the whole genome extended multilocus sequence typing (wgMLST) of four Pseudomonas aeruginosa strains that are characterized by being virulent despite having a defective Las quorum-sensing (QS) system, and compare them with the wgMLST of the PAO1 and PA14 type strains. This comparison was done to determine whether there was a genomic characteristic that was common to the strains with an atypical QS response. The analysed strains include two environmental isolates (ID 4365 isolated from the Indian Ocean, and M66 isolated from the Churince water system in Cuatro Ciénegas Coahuila, México), one veterinary isolate (strain 148 isolated from the stomach of a dolphin) and a clinical strain (INP43 that is a cystic fibrosis pediatric isolate). We determine that the six analysed strains have a core genome of 4689 loci that was used to construct a wgMLST-phylogeny tree. Using the cano-wgMLST_BacCompare software we found that there was no common genomic characteristic to the strains with an atypical QS-response and we identify ten loci that are highly discriminatory of the six strains’ phylogeny so that their MLST can reconstruct the wgMLST-phylogeny tree of these strains. We discuss here the nature of these ten highly discriminatory genes in the context of P. aeruginosa virulence and evolution.

Keywords: bacterial evolution, Pseudomonas aeruginosa, type three secretion system

Introduction

P. aeruginosa is a wide-spread environmental bacterium, but is also an important opportunistic pathogen. P. aeruginosa infections represent a serious health problem due to its high intrinsic and acquired antibiotic resistance [1] and its production of different virulence associated traits [2, 3]. Several of the virulence factors produced by this bacterium, including, elastase (ELA), pyocyanin (PYO) and rhamnolipids (RL), are regulated at the level of transcription by a complex regulatory cascade called quorum-sensing (QS) [4]. The LasR transcriptional regulator constitutes the top of the QS regulatory cascade that when coupled with the autoinducer (AI) 3-oxo-dodecanoyl homoserine lactone (3O-C12-HSL) activates the transcription of ELA and other virulence associated traits. LasR/3O-C12-HSL also activates the transcription of rhlR and rhlI, which encode a second transcriptional regulator (RhlR) and its cognate AI, butanoyl-homoserine lactone (C4-HSL). In addition LasR/3O-C12-HSL also activates the transcription of the gene encoding PqsR, the transcriptional regulator of the third QS system that uses alkyl quinolones as AI. RhlR/C4-HSL in turn activates the transcription of the genes involved in the production of PYO and RL [4]. It has been reported that pqsE, a gene that forms part of the pqsABCDE operon that is activated by PqsR, encodes an enzyme that produces an as yet unidentified AI that interacts with RhlR, modifying its transcriptional activity [5]. The virulence of P. aeruginosa is not only determined by the QS cascade, but other factors such as the type III secretion system are also involved [6, 7].

The genomic constitution of P. aeruginosa is unique since contrary to other bacteria, the virulence associated genes form part of its core-genome [8] and clinical and environmental isolates constitute a single population with high genome conservation [9]. P. aeruginosa species contains three clades, two of which are highly similar and the third clade is genetically more diverse [10]. Clade 1 type strain is PAO1, Clade 2 type strain is PA14 and PA7 outlier strain is the type strain of Clade 3. Strains belonging to all clades are geographically diverse and include both clinical and environmental isolates. The only case of endemicity that has been reported are the two clonal groups belonging to Clade 2, which were isolated in 2011 (clonal group 2A) and in 2015 (clonal group 2B) from the Churince water system in Cuatro Ciénegas Coahuila México [11]. The distribution of these two clonal-groups is particular to the Churince system, suggesting that P. aeruginosa isolates have been part of the bacterial community of this water system since ancient times.

It has been reported that strains defective in the LasR QS-system are very frequently isolated from patients with P. aeruginosa infections [12] and that in many cases these defective strains are able to express QS-dependent virulence factors such as PYO and RL since rhlR expression in these strains is independent of LasR [13–15]. Furthermore, it has been proposed that LasR deficient RhlR proficient strains are selected during the time course of an infection under specific conditions [15]. If the P. aeruginosa strains presenting an atypical QS response, such as those studied in this work (Table 1), are the product of a determined selective pressure as has been proposed [15], it is plausible that independent isolates sharing this condition will have common genomic characteristics that can be distinguished.

Table 1.

Characteristics of the four strains with an atypical QS response studied in this work

Strain

Characteristic

LasR deffect

Ref.

RL production

PYO production

Virulence in Galleria mellonella model*

Virulence in mouse model†

Ref.

INP43

Cystic Fibrosis pediatric isolate

Contains a lasR non-sense mutation Q45·

This work

+

++

nd

+/-

[17]

This work

148

Dolphin stomach isolate

Contains a 20 kb deletion that includes lasR, and an IS insertion in vfr

[13]

+

+

nd

+

[9]

ID4365

Indian Ocean isolate

Contains a lasR non-sense mutation Q24·

This work

+

++

nd

+

[9]

M66

Churince water-system isolate

Contains an inactive LasR, probably due to the A80V cyaB mutation

This work

+

++

+

nd

[11]

*nd, means not done.

†+/- means that when five mice were injected with 108 colony forming units (c.f.u.) it took 48 h for INP43 to kill 4 of 5 mice injected, while the same number of PA14, or PAO1 cells, killed all 5 mice at 24 h of injection.

P. aeruginosa strains with atypical QS systems such as the LasR-defective RhlR-proficient strains studied here (Table 1) represent a challenge to the development of anti-virulence therapeutic strategies to treat P. aeruginosa infections that is a field of intensive research to search for alternatives to the use of antibiotics [16].

Here we study the genome of four independent P. aeruginosa isolates that are defective in the LasR QS-system, but are able to produce PYO and RL and are virulent (Table 1), to determine whether they share some genetic traits that could be used as markers, and compared them with the PAO1 and PA14 type strains. Two of the studied strains are environmental, ID4365 isolated from the Indian Ocean [9] and M66 isolated from the Churince water system in 2011 (belongs to clonal group 2A) [11], one strain was isolated from the stomach of a dolphin [9, 13], and the fourth strain, INP43, is a pediatric Cystic Fibrosis isolate [17]. We focus on the genomic analysis of only these four strains because they have been characterized in terms of their defective Las QS system and their virulence (Table 1), and because they represent independent isolates that include environmental, veterinary and clinical strains. We reasoned that if the genomic analysis of these four P. aeruginosa strains with an atypical QS response (Table 1) showed common features, we might be able to identify a common selective pressure and molecular response involved in the generation of LasR defective and RhlR proficient strains. However, no particular genomic profile of these four strains was identified.

To make the genomic comparisons of the four LasR-deficient strains we used the cano-wgMLST_BacCompare software [18] (available at http://baccompare.imst.nsysu.edu.tw), that was reported recently to make epidemiological and comparative genomic analysis of bacteria based on whole genome extended multilocus sequence typing (wgMLST), and searching the most discriminatory loci that define a particular phylogenetic tree. We could not detect any particular genomic trait related with the four LasR deficient virulent P. aeruginosa isolates, showing that strains with this modified QS response can be selected from any strain belonging to Clades 1 and 2 and do not represent an homogeneous genomic group. In addition, we identified ten highly discriminatory loci that recreate the wgMLST phylogeny and show that two of these loci encode for proteins that are global regulators of virulence related traits, and one encodes a type III effector protein. These results show that the ability to establish pathogenic interactions is an essential part of P. aeruginosa life-style that has played an important part in the evolution of this bacterial species.

METHODS

Determination of P. aeruginosa virulence in a mouse model

The assay to measure virulence of P. aeruginosa INP43 strain in the mouse model was done as described previously [9].

Identification of mutations affecting LasR activity

The lasR, lasI, vfr and cyaB coding sequences were retrieved, translated into proteins and used as queries in BLASTP version 2.2.26+alignment with the correspondent PAO1 sequence [19]. The sequence of regulatory sequence was analysed using blast analysis.

Analysis of genomes using cano-wgMLST_BacCompare software

To make the whole genome MLST analysis we used the sequences of the P. aeruginosa strains to be analysed (PAO1, PA14, 148, ID4365, INP43 and M66) in FASTA format. These whole genome sequences were compared through whole-genome multilocus sequence typing (wgMLST) using the cano-wgMLST_BacCompare software that was reported recently [18] to make epidemiological reaserch and comparative genomics of bacteria (available at http://baccompare.imst.nsysu.edu.tw). This software enabled us to obtain ten highly discriminatory loci that permit the distinction of strains that belong to the same species and are closely related (Figs 1 and 2, Table 2).

Fig. 1.

Fig. 1.

Phylogenetic analysis of strains studied in this work. (a) Phylogenetic tree built based on ws(MLST); (b) phylogenetic tree built based on the homology of the ten highly discriminatory loci identified in this work.

Fig. 2.

Fig. 2.

Description of the ten highly discriminatory loci identified in this work. (a) Heatmap of the ten highly discriminatory loci identified in this work. The same color shows that the locus is conserved. (b) Locus number in each strain that corresponds to each genomic group shown on a.

Table 2.

The ten loci that are highly discriminatory between the six P. aeruginosa analysed strains

Gene

PAO1 ORF

Function/annotation

Group_4474

PA3801

Conserved hypothetical protein yfgM.

Group_3090

PA5060

Polyhydroxyalkanoate granule associated protein (phasin phaF)

Group_3197

PA0131

Cupin domain protein, bauB (beta-alanine utilization).

Group_3385

PA3440.1

HopJ type III effector protein (encodes for an uncharacterized protein in PAO1 strain).

rsmN

PA5183.1

RNA binding protein regulator, rsmN.

Group_6017

PA0109

Hypothetical protein conserved in P. aeruginosa and other species of Pseudomonas .

Group_6086

PA2697

Hypothetical protein conserved in P. aeruginosa and other species of Pseudomonas .

exsA

PA1713

Type III secretion system master regulator ExsA.

fabR_2

PA4890 (desT)

HTH-type transcriptional repressor of aerobic unsaturated fatty acids synthesis.

kdsC

PA4458

3-deoxy-d-manno-octulosonate 8-phosphate phosphatase KdsC (encodes for an uncharacterized protein in PAO1 strain).

NCBI accession numbers of genomes used in this work

The accession numbers of the whole genome sequences used in the work are: NZ_SDVP00000000 (strain M66), ATAI00000000 (strain ID4365), ATAJ00000000 (strain 148), CP047592 (strain INP 43),

NC_002516 (strain PAO1) and NC_008463 (strain UCBPP-PA14).

RESULTS AND DISCUSSION

Characterization of the LasR defective virulent P. aeruginosa strains studied in this work

It has been already reported that three of the strains having an atypical QS response that were studied in this work, 148 [9, 13], ID4365 [9], and M66 [11], have an inactive LasR, but produce the RhlR/C4-HSL dependent virulence factors PYO and RL and are virulent. Here we present some further analysis of the genomic sequence of these strains (Table 1). In addition we report the characterization of strain INP43 in terms of its production of PYO and RL and its virulence in a mice model, and the mutation that causes the inactivation of its LasR (Table 1). The only one of the studied strains that does not have a mutation in lasR is strain M66, but it has been reported that it does not produce 3O-C12-HSL [11], the product of LasI enzyme. The transcription of lasI is strictly dependent on LasR activity, so this phenotype is a direct measurement of this transcriptional factor activity. The analysis of the amino acid sequence of M66 LasR, LasI, and Vfr (the CRP homolog that activates lasR transcription [20]), showed that they have the same sequence as the PAO1 corresponding protein. In addition the regulatory sequences of lasR, lasI, vfr and cyaB are also well conserved. However CyaB, the adenylate cyclase that produces cAMP that interacts with Vfr contains the mutation A80V compared to the PAO1 CyaB (Table 1). It is thus possible that lasR is not efficiently transcribed in strain M66 due to a lower cAMP level available to bind Vfr.

From these data it is clear that the four studied P. aeruginosa strains are LasR defective, but are able to produce PYO and RL that are dependent on RhlR/C4-HSL transcriptional activity, and are virulent in the Galleria mellonella or mouse models (Table 1). Therefore we conclude that the global analysis of the genomes of these strains and the PAO1 and PA14 type strains constitute a suitable model to determine whether LasR defective strains that are able to express QS-regulated traits share a particular molecular response which could be a product of a common selective pressure, as has been previously suggested [15].

Definition of core and pangenomes of the six studied strains

The comparative analysis of the genome sequences of the six studied strains render a pangenome of 6874 loci, among which 4869 (70.8 %) constituted the core-genome, 825 loci (12 %) are present in two to five genomes and constitute the accessory genome, and 1180 (17.2 %) are only present in one genome, and are thus unique. The core genome of 17 P . aeruginosa reference strains has been reported to consist of 5233 orthologs [8], which is a slightly higher number to what we found analysing the six genomes reported here.

Construction of a wgMLST phylogenetic tree

The core genome loci were used to construct a phylogenetic tree based on an MLST analysis (Fig. 1a). This phylogenetic tree shows that one strain studied in this work (INP43) belongs to Clade 1 and is clustered with PAO1 type strain, while the other three strains with an atypical QS-response (ID4365, 148 and M66) belong to Clade 2 and are thus clustered with PA14 type strain. It is worth noting that strain M66, which belongs to clonal group 2A isolated in 2011 at the Churince water system of Cuatro Ciénegas Coahuila, México, forms a distinct branch in the wgMLST phylogenetic tree in accordance to its position in the phylogenetic tree reported recently [11] that was constructed using FastTree 2.0 that is based on approximate maximum-likelihood [21]. These results show that the LasR deficient and virulent strains that present an atypical QS response, do not represent a particular clonal group and that this type of isolates can be part of Clade 1 or Clade 2. Thus it can be concluded that there is not a single genomic ‘pathway’ for the LasR deficient QS atypical strains, and that this type of strains are not part of an epidemiological group.

Identification of the highly discriminatory genes that recreate the wgMLST phylogenetic tree

In order to determine what were the genes that could discriminate between the four strains with atypical QS sensing response, and the two type strains that were studied in this work, we used the cano-wgMLST_BacCompare software [18]. To do this we search for the genes that are highly discriminatory among the genes conserved in the six strains and we found ten genes (Fig. 2, Table 2) that can recreate the phylogenetic tree constructed by wgMLST (Fig. 1b). These loci (Fig. 2) include four annotated genes (exsA, rsmN, fabR_2 and kdsC) and six groups defined by the cano-wgMLST_BacCompare software (group_4474, group_3090, group_3197, group_3385, group_6017, group_6086). Table 2 shows the number of the PAO1 ORF corresponding to each of the highly discriminatory loci and their characteristics, and Fig. 2b shows the number of the ORF corresponding to each group in the six genomes analysed.

The ten highly discriminatory genes that were found, present between two and six different alleles in the six strains that we studied (each allele is represented by a different colour in Fig. 2a). This reduced amount of genetic information, only ten loci, can be used as a marker of their phylogeny, since it reflects the genetic variation that explains their evolutionary pathway. Even though these highly discriminatory loci do not necessarily have a role in the evolution of these strains, it can be concluded that they in some way represent genomic markers of their phylogeny.

The presence among the ten highly discriminatory loci of two master regulators involved in the expression of genes involved in the virulence of P. aeruginosa (exsA and rsmN) highlights that pathogenic interactions are a fundamental part of this bacterial species way of life and not accessory traits as happens with other bacterial species.

ExsA is a master regulator involved in the expression of the type III secretion system [22], which plays an important role in P. aeruginosa pathogenicity [6, 7]. It is significant in this respect that group_3385 encodes for HopJ, a type III effector protein.

RsmN is an RNA binding protein that is homologous to RsmA/CsrA, but is unique to P. aeruginosa [23]. This family of proteins has an important role in the posttranscriptional regulation of gene expression, by binding mRNAs at a sequence near the ribosome-binding site and usually blocks their translation. The Rsm system coordinately regulates the expression of the type III secretion system [24] and of virulence factors that are regulated by quorum-sensing [25].

The ten highly discriminatory genes of the phylogeny of the six studied strains include phaF (group_3090, Fig. 2, Table 2), which encodes a protein that is bound to the membrane of polyhydroxyalkanoate (PHA) granules [26]. This polymer serves as a reservoir of carbon and its production is characteristic of Pseudomonads and other bacteria, so even though PHA production is not a central metabolic pathway it is a conserved trait and it is not surprising that the genetic variation of the genes involved in its production reflect P. aeruginosa evolution.

In addition, the ten highly discriminatory loci identified contained the fabR_2 gene (called desT in PAO1, Table 2). This gene encodes a repressor of genes involved in the aerobic unsaturated fatty synthesis [27]. In addition, the ten highly discriminatory loci include two genes involved in metabolic pathways (group_3197 which is annotated as bauB in PAO1 and codes for an enzyme that participates in beta-alanine, and kdsC that encodes a 3-deoxy-d-manno-octulosonate 8-phosphate phosphatase). It is expected that genes involved in metabolic pathways, both regulatory and structural, reflect the evolutionary pathway of bacteria, so it is expected to identify this type of genes.

The three remaining loci among the ten highly discriminatory loci identified encode for hypothetical proteins, one of them (group_4474, yfgM) is highly conserved among a wide range of bacteria, while the other two (group_6017 and group_6086) are conserved among different Pseudomonas species including P. aeruginosa .

The high genome conservation of different P. aeruginosa isolates is reflected in the strict conservation of their essential genes [28]. However, this high genomic conservation is in contrast with the high phenotypic variability of different isolates [9]. The ten highly discriminatory genes that were identified in this work are not essential genes in any of the conditions that have been tested [29]. It is expected that these highly discriminatory genes are non-essential genes since they show a genetic variability that reflects the genomic variability and the evolutionary pathway of the six studied P. aeruginosa strains, and essential genes are expected to be less variable than the rest of the genome due to the high selective pressure that they are submitted to, and to be present in all related species independently of their lifestyle [30, 31].

CONCLUSIONS

The P. aeruginosa genome is very well conserved among different isolates both of clinical and environmental origin, and the genes encoding virulence associated traits form part of its core-genome [8, 9].

Here we analyse whether four independent P. aeruginosa isolates that have a defective LasR, the transcriptional regulator that is the head of the QS response, have a particular genomic constitution using the cano-wgMLST_BacCompare software [18] and show that these P. aeruginosa isolates with an atypical QS response do not share a particular genomic profile. These results suggest that the LasR defective strains that are still able to establish pathogenic interactions can be selected from strains belonging to Clades 1 and 2 (we did not test any strain belonging to Clade 3).

The cano-wgMLST_BacCompare software allowed us to identify ten loci that are highly discriminatory and reflect the phylogeny constructed with the wgMLST of the six studied strains. Two of the identified loci (exsA and rsmN) are master regulators that are involved in the expression of the type III secretion system, and rsmN also in the expression of virulence traits regulated by QS. A third locus (group_3385, Tables 1 and 2) is a type III effector protein. These results show that the establishment of pathogenic interactions, and in particular the activity of the type III secretion system, is a fundamental characteristic of P. aeruginosa that has taken part in the evolution of this bacetrial species.

Funding information

This work received no specific grant from any funding agency

Acknowledgements

We are grateful to Diana Rivera-Bazán for participating in the characterization of strain INP43 shown in Table 1.

Conflicts of interest

The authors declare that they do not have any conflict of interest.

Footnotes

Abbreviations: AI, autoinducer; QS, quorum sensing regulatory network; wgMLST, whole genome multilocus sequence typing.

References

  • 1.Castañeda-Montes FJ, Avitia M, Sepúlveda-Robles O, Cruz-Sánchez V, Kameyama L, et al. Population structure of Pseudomonas aeruginosa through a MLST approach and antibiotic resistance profiling of a Mexican clinical collection. Infect Genet Evol. 2018;65:43–54. doi: 10.1016/j.meegid.2018.06.009. [DOI] [PubMed] [Google Scholar]
  • 2.Moradali MF, Ghods S, Rehm BHA. Pseudomonas aeruginosa lifestyle: A paradigm for adaptation, survival, and persistence. Front Cell Infect Microbiol. 2017;7:39. doi: 10.3389/fcimb.2017.00039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Gellatly SL, Hancock REW. Pseudomonas aeruginosa: new insights into pathogenesis and host defenses. Pathog Dis. 2013;67:159–173. doi: 10.1111/2049-632X.12033. [DOI] [PubMed] [Google Scholar]
  • 4.Williams P, Cámara M. Quorum sensing and environmental adaptation in Pseudomonas aeruginosa: a tale of regulatory networks and multifunctional signal molecules. Curr Opin Microbiol. 2009;12:182–191. doi: 10.1016/j.mib.2009.01.005. [DOI] [PubMed] [Google Scholar]
  • 5.Mukherjee S, Moustafa DA, Stergioula V, Smith CD, Goldberg JB, et al. The PqsE and RhlR proteins are an autoinducer synthase-receptor pair that control virulence and biofilm development in Pseudomonas aeruginosa . Proc Natl Acad Sci U S A. 2018;115:E9411–E9418. doi: 10.1073/pnas.1814023115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Berube BJ, Murphy KR, Torhan MC, Bowlin NO, Williams JD, et al. Impact of type III secretion effectors and of phenoxyacetamide inhibitors of type III secretion on abscess formation in a mouse model of Pseudomonas aeruginosa infection. Antimicrob Agents Chemother. 2017;61:e1202–e1217. doi: 10.1128/AAC.01202-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Soto-Aceves MP, Cocotl-Yañez M, Merino E, Castillo-Juárez I, Cortés-López H, et al. Inactivation of the quorum-sensing transcriptional regulators LasR or RhlR does not suppress the expression of virulence factors and the virulence of Pseudomonas aeruginosa PAO1. Microbiology. 2019;165:425–432. doi: 10.1099/mic.0.000778. [DOI] [PubMed] [Google Scholar]
  • 8.Valot B, Guyeux C, Rolland JY, Mazouzi K, Bertrand X, et al. What it takes to be a Pseudomonas aeruginosa? The core genome of the opportunistic pathogen updated. PLoS One. 2015;10:e0126468. doi: 10.1371/journal.pone.0126468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Grosso-Becerra M-V, Santos-Medellín C, González-Valdez A, Méndez J-L, Delgado G, et al. Pseudomonas aeruginosa clinical and environmental isolates constitute a single population with high phenotypic diversity. BMC Genomics. 2014;15:318. doi: 10.1186/1471-2164-15-318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Freschi L, Jeukens J, Kukavica-Ibrulj I, Boyle B, Dupont M-J, et al. Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium. Front Microbiol. 2015;6:1036. doi: 10.3389/fmicb.2015.01036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.García-Ulloa M, Ponce-Soto G-Y, González-Valdez A, González-Pedrajo B, Díaz-Guerrero M, et al. Two Pseudomonas aeruginosa clonal groups belonging to the PA14 clade are Indigenous to the Churince system in Cuatro Ciénegas Coahuila, México. Environ Microbiol. 2019;21:2964–2976. doi: 10.1111/1462-2920.14692. [DOI] [PubMed] [Google Scholar]
  • 12.Feltner JB, Wolter DJ, Pope CE, Groleau M-C, Smalley NE, et al. LasR variant cystic fibrosis isolates reveal an adaptable quorum-sensing hierarchy in Pseudomonas aeruginosa . mBio. 2016;7:e01513–01516. doi: 10.1128/mBio.01513-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Morales E, González-Valdez A, Servín-González L, Soberón-Chávez G. Pseudomonas aeruginosa quorum-sensing response in the absence of functional LasR and LasI proteins: the case of strain 148, a virulent dolphin isolate. FEMS Microbiol Lett. 2017;364 doi: 10.1093/femsle/fnx119. [DOI] [PubMed] [Google Scholar]
  • 14.Chen R, Déziel E, Groleau MC, Schaefer AL, Greenberg EP. Social cheating in a quorum-sensing Pseudomonas aeruginosa variant. Proc Natl Acad Sci USA. 2019;116:7921–7926. doi: 10.1073/pnas.1819801116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kostylev M, Kim DY, Smalley NE, Salukhe I, Greenberg EP, et al. Evolution of the Pseudomonas aeruginosa quorum-sensing hierarchy. Proc Natl Acad Sci U S A. 2019;116:7027–7032. doi: 10.1073/pnas.1819796116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Defoirdt T. Quorum-Sensing systems as targets for antivirulence therapy. Trends Microbiol. 2018;26:313–328. doi: 10.1016/j.tim.2017.10.005. [DOI] [PubMed] [Google Scholar]
  • 17.García-Contreras R, Peréz-Eretza B, Jasso-Chávez R, Lira-Silva E, Roldán-Sánchez JA, et al. High variability in quorum quenching and growth inhibition by furanone C-30 in Pseudomonas aeruginosa clinical isolates from cystic fibrosis patients. Pathog Dis. 2015;73:ftv040. doi: 10.1093/femspd/ftv040. [DOI] [PubMed] [Google Scholar]
  • 18.Liu Y-Y, Lin J-W, Chen C-C. cano-wgMLST_BacCompare: a bacterial genome analysis platform for epidemiological investigation and comparative genomic analysis. Front Microbiol. 2019;10:1–9. doi: 10.3389/fmicb.2019.01687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, et al. Gapped blast and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Albus AM, Pesci EC, Runyen-Janecky LJ, West SE, Iglewski BH. Vfr controls quorum sensing in Pseudomonas aeruginosa . J Bacteriol. 1997;179:3928–3935. doi: 10.1128/JB.179.12.3928-3935.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One. 2010;5:e9490. doi: 10.1371/journal.pone.0009490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Diaz MR, King JM, Yahr TL. Intrinsic and extrinsic regulation of type III secretion gene expression in Pseudomonas aeruginosa . Front Microbiol. 2011;2:89. doi: 10.3389/fmicb.2011.00089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Morris ER, Hall G, Li C, Heeb S, Kulkarni RV, et al. Structural rearrangement in an RsmA/CsrA ortholog of Pseudomonas aeruginosa creates a dimeric RNA-binding protein, RsmN. Structure. 2013;21:1659–1671. doi: 10.1016/j.str.2013.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Yamazaki A, Li J, Zeng Q, Khokhani D, Hutchins WC, et al. Derivatives of plant phenolic compound affect the type III secretion system of Pseudomonas aeruginosa via a GacS-GacA two-component signal transduction system. Antimicrob Agents Chemother. 2012;56:36–43. doi: 10.1128/AAC.00732-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kay E, Humair B, Dénervaud V, Riedel K, Spahr S, et al. Two GacA-dependent small RNAs modulate the quorum-sensing response in Pseudomonas aeruginosa . J Bacteriol. 2006;188:6026–6033. doi: 10.1128/JB.00409-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Choi D-S, Kim D-K, Choi SJ, Lee J, Choi J-P, et al. Proteomic analysis of outer membrane vesicles derived from Pseudomonas aeruginosa . Proteomics. 2011;11:3424–3429. doi: 10.1002/pmic.201000212. [DOI] [PubMed] [Google Scholar]
  • 27.Zhu K, Choi K-H, Schweizer HP, Rock CO, Zhang Y-M. Two aerobic pathways for the formation of unsaturated fatty acids in Pseudomonas aeruginosa . Mol Microbiol. 2006;60:260–273. doi: 10.1111/j.1365-2958.2006.05088.x. [DOI] [PubMed] [Google Scholar]
  • 28.Martínez-Carranza E, Ponce-Soto G-Y, Servín-González L, Alcaraz LD, Soberón-Chávez G. Evolution of bacteria seen through their essential genes: the case of Pseudomonas aeruginosa and Azotobacter vinelandii . Microbiology. 2019;165:976–984. doi: 10.1099/mic.0.000833. [DOI] [PubMed] [Google Scholar]
  • 29.Lee SA, Gallagher LA, Thongdee M, Staudinger BJ, Lippman S, et al. General and condition-specific essential functions of Pseudomonas aeruginosa . Proc Natl Acad Sci U S A. 2015;112:5189–5194. doi: 10.1073/pnas.1422186112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Juhas M, Eberl L, Glass JI. Essence of life: essential genes of minimal genomes. Trends Cell Biol. 2011;21:562–568. doi: 10.1016/j.tcb.2011.07.005. [DOI] [PubMed] [Google Scholar]
  • 31.Charlebois RL, Doolittle WF. Computing prokaryotic gene ubiquity: rescuing the core from extinction. Genome Res. 2004;14:2469–2477. doi: 10.1101/gr.3024704. [DOI] [PMC free article] [PubMed] [Google Scholar]

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