(Below N is a link to NCBI taxonomic web page and E link to ESTHER at designed phylum.) > cellular organisms: NE > Bacteria: NE > Proteobacteria: NE > Gammaproteobacteria: NE > Pseudomonadales: NE > Pseudomonadaceae: NE > Pseudomonas: NE > Pseudomonas aeruginosa group: NE > Pseudomonas aeruginosa: NE
Warning: This entry is a compilation of different species or line or strain with more than 90% amino acide identity. You can retrieve all strain data
(Below N is a link to NCBI taxonomic web page and E link to ESTHER at designed phylum.) Pseudomonas aeruginosa C3719: N, E.
Pseudomonas aeruginosa 2192: N, E.
Pseudomonas aeruginosa VRFPA04: N, E.
Pseudomonas aeruginosa VRFPA01: N, E.
Pseudomonas aeruginosa LESB58: N, E.
Pseudomonas aeruginosa UCBPP-PA14: N, E.
Pseudomonas aeruginosa PA7: N, E.
Pseudomonas aeruginosa 39016: N, E.
Pseudomonas aeruginosa BL12: N, E.
Pseudomonas aeruginosa PAO581: N, E.
Pseudomonas aeruginosa MPAO1/P2: N, E.
Pseudomonas aeruginosa ATCC 14886: N, E.
Pseudomonas aeruginosa BL01: N, E.
Pseudomonas aeruginosa ATCC 700888: N, E.
Pseudomonas aeruginosa ATCC 25324: N, E.
Pseudomonas aeruginosa BL16: N, E.
Pseudomonas aeruginosa BWH050: N, E.
Pseudomonas aeruginosa DHS01: N, E.
Pseudomonas aeruginosa BWHPSA005: N, E.
Pseudomonas aeruginosa BWHPSA003: N, E.
Pseudomonas aeruginosa PADK2_CF510: N, E.
Pseudomonas aeruginosa VRFPA05: N, E.
Pseudomonas aeruginosa BWHPSA028: N, E.
Pseudomonas aeruginosa M9A.1: N, E.
Pseudomonas aeruginosa PA21_ST175: N, E.
Pseudomonas aeruginosa BWHPSA046: N, E.
Pseudomonas aeruginosa UDL: N, E.
Pseudomonas aeruginosa BWHPSA027: N, E.
Pseudomonas aeruginosa 3574: N, E.
Pseudomonas aeruginosa CF127: N, E.
Pseudomonas aeruginosa PAO1-VE13: N, E.
Pseudomonas aeruginosa BWHPSA024: N, E.
Pseudomonas aeruginosa PA1: N, E.
Pseudomonas aeruginosa BWHPSA043: N, E.
Pseudomonas aeruginosa DK2: N, E.
Pseudomonas aeruginosa BL05: N, E.
Pseudomonas aeruginosa BWH035: N, E.
Pseudomonas aeruginosa VRFPA02: N, E.
Pseudomonas aeruginosa C51: N, E.
Pseudomonas aeruginosa S54485: N, E.
Pseudomonas aeruginosa BWHPSA001: N, E.
Pseudomonas aeruginosa BWHPSA019: N, E.
Pseudomonas aeruginosa BWHPSA002: N, E.
Pseudomonas aeruginosa BWHPSA038: N, E.
Pseudomonas aeruginosa BWH051: N, E.
Pseudomonas aeruginosa BWHPSA047: N, E.
Pseudomonas aeruginosa BWHPSA022: N, E.
Pseudomonas aeruginosa BL03: N, E.
Pseudomonas aeruginosa 3577: N, E.
Pseudomonas aeruginosa str. Stone 130: N, E.
Pseudomonas aeruginosa c7447m: N, E.
Pseudomonas aeruginosa BWHPSA044: N, E.
Pseudomonas aeruginosa C52: N, E.
Pseudomonas aeruginosa BL25: N, E.
Pseudomonas aeruginosa 18A: N, E.
Pseudomonas aeruginosa LESlike5: N, E.
Pseudomonas aeruginosa PAO1-VE2: N, E.
Pseudomonas aeruginosa 3576: N, E.
Pseudomonas aeruginosa 3573: N, E.
Pseudomonas aeruginosa BL17: N, E.
Pseudomonas aeruginosa U2504: N, E.
Pseudomonas aeruginosa BL24: N, E.
Pseudomonas aeruginosa CF5: N, E.
Pseudomonas aeruginosa BL22: N, E.
Pseudomonas aeruginosa BWHPSA007: N, E.
Pseudomonas aeruginosa PAO1-GFP: N, E.
Pseudomonas aeruginosa VRFPA08: N, E.
Pseudomonas aeruginosa M8A.4: N, E.
Pseudomonas aeruginosa BWHPSA015: N, E.
Pseudomonas aeruginosa S35004: N, E.
Pseudomonas aeruginosa PAO579: N, E.
Pseudomonas aeruginosa M8A.1: N, E.
Pseudomonas aeruginosa VRFPA06: N, E.
Pseudomonas aeruginosa CIG1: N, E.
Pseudomonas aeruginosa BL06: N, E.
Pseudomonas aeruginosa LESlike1: N, E.
Pseudomonas aeruginosa MSH-10: N, E.
Pseudomonas aeruginosa BL07: N, E.
Pseudomonas aeruginosa PA1R: N, E.
Pseudomonas aeruginosa M10: N, E.
Pseudomonas aeruginosa IGB83: N, E.
Pseudomonas aeruginosa BL02: N, E.
Pseudomonas aeruginosa PAO1: N, E.
Pseudomonas aeruginosa BWHPSA020: N, E.
Pseudomonas aeruginosa ID4365: N, E.
Pseudomonas aeruginosa C40: N, E.
Pseudomonas aeruginosa 19660: N, E.
Pseudomonas aeruginosa BWHPSA004: N, E.
Pseudomonas aeruginosa MTB-1: N, E.
Pseudomonas aeruginosa BWH036: N, E.
Pseudomonas aeruginosa BWHPSA010: N, E.
Pseudomonas aeruginosa LESlike7: N, E.
Pseudomonas aeruginosa 3581: N, E.
Pseudomonas aeruginosa BWH030: N, E.
Pseudomonas aeruginosa C41: N, E.
Pseudomonas aeruginosa VRFPA07: N, E.
Pseudomonas aeruginosa BWH057: N, E.
Pseudomonas aeruginosa HB13: N, E.
Pseudomonas aeruginosa BWH059: N, E.
Pseudomonas aeruginosa CF27: N, E.
Pseudomonas aeruginosa PA99: N, E.
Pseudomonas aeruginosa HB15: N, E.
Pseudomonas aeruginosa BWH049: N, E.
Pseudomonas aeruginosa LESlike4: N, E.
Pseudomonas aeruginosa CF77: N, E.
Pseudomonas aeruginosa MH27: N, E.
Pseudomonas aeruginosa SCV20265: N, E.
Pseudomonas aeruginosa BWH032: N, E.
Pseudomonas aeruginosa BWHPSA008: N, E.
Pseudomonas aeruginosa BL11: N, E.
Pseudomonas aeruginosa PA14: N, E.
Pseudomonas aeruginosa BL04: N, E.
Pseudomonas aeruginosa BWHPSA014: N, E.
Pseudomonas aeruginosa BWH053: N, E.
Pseudomonas aeruginosa BWH054: N, E.
Pseudomonas aeruginosa CF614: N, E.
Pseudomonas aeruginosa NCGM2.S1: N, E.
Pseudomonas aeruginosa MSH10: N, E.
Pseudomonas aeruginosa 3579: N, E.
Pseudomonas aeruginosa MSH3: N, E.
Pseudomonas aeruginosa C20: N, E.
Pseudomonas aeruginosa BWH058: N, E.
Pseudomonas aeruginosa Z61: N, E.
Pseudomonas aeruginosa YL84: N, E.
Pseudomonas aeruginosa BWHPSA018: N, E.
Pseudomonas aeruginosa BWH055: N, E.
Pseudomonas aeruginosa BL15: N, E.
Pseudomonas aeruginosa BWHPSA042: N, E.
Pseudomonas aeruginosa BWHPSA021: N, E.
Pseudomonas aeruginosa CF18: N, E.
Pseudomonas aeruginosa BWH033: N, E.
Pseudomonas aeruginosa 148: N, E.
Pseudomonas aeruginosa PA103: N, E.
Pseudomonas aeruginosa BL23: N, E.
Pseudomonas aeruginosa MPAO1/P1: N, E.
Pseudomonas aeruginosa 3580: N, E.
Pseudomonas aeruginosa 62: N, E.
Pseudomonas aeruginosa 6077: N, E.
Pseudomonas aeruginosa C48: N, E.
Pseudomonas aeruginosa BWHPSA041: N, E.
Pseudomonas aeruginosa BWHPSA023: N, E.
Pseudomonas aeruginosa BWHPSA045: N, E.
Pseudomonas aeruginosa BL14: N, E.
Pseudomonas aeruginosa BL08: N, E.
Pseudomonas aeruginosa BWHPSA017: N, E.
Pseudomonas aeruginosa BWHPSA039: N, E.
Pseudomonas aeruginosa DHS29: N, E.
Pseudomonas aeruginosa CI27: N, E.
Pseudomonas aeruginosa X24509: N, E.
Pseudomonas aeruginosa BWHPSA040: N, E.
Pseudomonas aeruginosa 3578: N, E.
Pseudomonas aeruginosa PS75: N, E.
Pseudomonas aeruginosa RP73: N, E.
Pseudomonas aeruginosa BWHPSA013: N, E.
Pseudomonas aeruginosa PA96: N, E.
Pseudomonas aeruginosa E2: N, E.
Pseudomonas aeruginosa BWH031: N, E.
Pseudomonas aeruginosa JJ692: N, E.
Pseudomonas aeruginosa MH38: N, E.
Pseudomonas aeruginosa B136-33: N, E.
Pseudomonas aeruginosa BWHPSA009: N, E.
Pseudomonas aeruginosa PA38182: N, E.
Pseudomonas aeruginosa WC55: N, E.
Pseudomonas aeruginosa BWHPSA026: N, E.
Pseudomonas aeruginosa X13273: N, E.
Pseudomonas aeruginosa C23: N, E.
Pseudomonas aeruginosa BL18: N, E.
Pseudomonas aeruginosa SG17M: N, E.
Pseudomonas aeruginosa PA45: N, E.
Pseudomonas aeruginosa BWH060: N, E.
Pseudomonas aeruginosa BWHPSA016: N, E.
Pseudomonas aeruginosa NCMG1179: N, E.
Pseudomonas aeruginosa BWHPSA025: N, E.
Pseudomonas aeruginosa BWH029: N, E.
Pseudomonas aeruginosa BL21: N, E.
Pseudomonas aeruginosa BL20: N, E.
Pseudomonas aeruginosa BWHPSA006: N, E.
Pseudomonas aeruginosa M18: N, E.
Pseudomonas aeruginosa BWHPSA037: N, E.
Pseudomonas aeruginosa PAK: N, E.
Pseudomonas aeruginosa BWH056: N, E.
Pseudomonas aeruginosa BL09: N, E.
Pseudomonas aeruginosa PS50: N, E.
Pseudomonas aeruginosa BWHPSA011: N, E.
Pseudomonas aeruginosa BL19: N, E.
Pseudomonas aeruginosa M8A.2: N, E.
Pseudomonas aeruginosa BWH052: N, E.
Pseudomonas aeruginosa BWHPSA012: N, E.
Pseudomonas aeruginosa LES400: N, E.
Pseudomonas aeruginosa BL10: N, E.
Pseudomonas aeruginosa VRFPA03: N, E.
Pseudomonas aeruginosa LES431: N, E.
Pseudomonas aeruginosa PS42: N, E.
Pseudomonas aeruginosa BL13: N, E.
Pseudomonas aeruginosa M8A.3: N, E.
Pseudomonas aeruginosa LESB65: N, E.
Pseudomonas aeruginosa 3575: N, E.
Pseudomonas aeruginosa DK1: N, E.
Pseudomonas sp. P179: N, E.
Pseudomonas sp. 2_1_26: N, E.
Molecular evidence
Database
No mutation 1 structure: 6I8W: Crystal structure of a membrane phospholipase A from Pseudomonas aeruginosa, a novel bacterial virulence factor No kinetic
LegendThis sequence has been compared to family alignement (MSA) red => minority aminoacid blue => majority aminoacid color intensity => conservation rate title => sequence position(MSA position)aminoacid rate Catalytic site Catalytic site in the MSA MKRFLLGLVLLLAVAAGVLYFVPATLLASVRTVERGLAGLSEHSVQVDNL EIAYLEGGSEKNPTLLLIHGFGADKDNWLRFARPLTERYHVVALDLPGFG DSSKPQQASYDVGTQAERVANFAAAIGVRRLHLAGNSMGGHIAALYAARH PEQVLSLALIDNAGVMPARKSELFEDLERGENPLVVRQPEDFQKLLDFVF VQQPPLPAPLKRYLGERAVAASAFNAQIFEQLRQRYIPLEPELPKIEAPT LLLWGDRDRVLDVSSIEVMRPLLKRPSVVIMENCGHVPMVERPEETAQHY QAFLDGVRNAQVAGR
Cells steadily adapt their membrane glycerophospholipid (GPL) composition to changing environmental and developmental conditions. While the regulation of membrane homeostasis via GPL synthesis in bacteria has been studied in detail, the mechanisms underlying the controlled degradation of endogenous GPLs remain unknown. Thus far, the function of intracellular phospholipases A (PLAs) in GPL remodeling (Lands cycle) in bacteria is not clearly established. Here, we identified the first cytoplasmic membrane-bound phospholipase A(1) (PlaF) from Pseudomonas aeruginosa, which might be involved in the Lands cycle. PlaF is an important virulence factor, as the P. aeruginosa deltaplaF mutant showed strongly attenuated virulence in Galleria mellonella and macrophages. We present a 2.0-A-resolution crystal structure of PlaF, the first structure that reveals homodimerization of a single-pass transmembrane (TM) full-length protein. PlaF dimerization, mediated solely through the intermolecular interactions of TM and juxtamembrane regions, inhibits its activity. The dimerization site and the catalytic sites are linked by an intricate ligand-mediated interaction network, which might explain the product (fatty acid) feedback inhibition observed with the purified PlaF protein. We used molecular dynamics simulations and configurational free energy computations to suggest a model of PlaF activation through a coupled monomerization and tilting of the monomer in the membrane, which constrains the active site cavity into contact with the GPL substrates. Thus, these data show the importance of the PlaF mediated GPL remodeling pathway for virulence and could pave the way for the development of novel therapeutics targeting PlaF.
PlaF is a cytoplasmic membrane-bound phospholipase A1 from Pseudomonas aeruginosa that alters the membrane glycerophospholipid (GPL) composition and fosters the virulence of this human pathogen. PlaF activity is regulated by a dimer-to-monomer transition followed by tilting of the monomer in the membrane. However, how substrates reach the active site and how the characteristics of the active site tunnels determine the activity, specificity, and regioselectivity of PlaF for natural GPL substrates has remained elusive. Here, we combined unbiased and biased all-atom molecular dynamics (MD) simulations and configurational free energy computations to identify access pathways of GPL substrates to the catalytic center of PlaF. Our results map out a distinct tunnel through which substrates access the catalytic center. PlaF variants with bulky tryptophan residues in this tunnel revealed decreased catalysis rates due to tunnel blockage. The MD simulations suggest that GPLs preferably enter the active site with the sn-1 acyl chain first, which agrees with the experimentally demonstrated PLA1 activity of PlaF. We propose that the acyl chain-length specificity of PlaF is determined by the structural features of the access tunnel, which results in favorable free energy of binding of medium-chain GPLs. The suggested egress route conveys fatty acid products to the dimerization interface and, thus, contributes to understanding the product feedback regulation of PlaF by fatty acid-triggered dimerization. These findings open up opportunities for developing potential PlaF inhibitors, which may act as antibiotics against P. aeruginosa.
Cells steadily adapt their membrane glycerophospholipid (GPL) composition to changing environmental and developmental conditions. While the regulation of membrane homeostasis via GPL synthesis in bacteria has been studied in detail, the mechanisms underlying the controlled degradation of endogenous GPLs remain unknown. Thus far, the function of intracellular phospholipases A (PLAs) in GPL remodeling (Lands cycle) in bacteria is not clearly established. Here, we identified the first cytoplasmic membrane-bound phospholipase A 1 (PlaF) from Pseudomonas aeruginosa involved in the Lands cycle. PlaF is an important virulence factor, as the P. aeruginosa delta plaF mutant showed strongly attenuated virulence in Galleria mellonella and macrophages. We present a 2.0-A-resolution crystal structure of PlaF, the first structure that reveals homodimerization of a single-pass transmembrane (TM) full-length protein. PlaF dimerization, mediated solely through the intermolecular interactions of TM and juxtamembrane regions, inhibits its activity. A dimerization site and the catalytic sites are linked by an intricate ligand-mediated interaction network which likely explains the product (fatty acid) feedback inhibition observed with the purified PlaF protein. We used molecular dynamics simulations and configurational free energy computations to suggest a model of PlaF activation through a coupled monomerization and tilting of the monomer in the membrane, which constrains the active site cavity into contact with the GPL substrates. Thus, these data show the importance of the GPL remodeling pathway for virulence and pave the way for the development of a novel therapeutic class of antibiotics targeting PlaF-mediated membrane GPL remodeling. Synopsis Membrane homeostasis can be regulated by phospholipase-controlled deacylation of endogenous glycerophospholipids (GPLs) followed by reacylation of products, known as the Lands cycle in eukaryotes. Here we show that the human pathogen Pseudomonas aeruginosa uses intracellular phospholipase A 1 (PlaF) to modulate membrane GPL composition, which is the first example in bacteria. This newly identified PLA 1 indirectly regulates the bacterial virulence properties by hydrolyzing a specific set of membrane GPLs. The crystal structure of full-length PlaF dimers bound to natural ligands, MD simulations, and biochemical approaches provide insights into the molecular mechanism of dimerization-mediated inactivation of this single-pass transmembrane PLA 1 . Our findings shed light on a mechanism by which bacterial intracellular PLAs might regulate membrane homeostasis what showcases these enzymes as a promising target for a new class of antibiotics.
Cells steadily adapt their membrane glycerophospholipid (GPL) composition to changing environmental and developmental conditions. While the regulation of membrane homeostasis via GPL synthesis in bacteria has been studied in detail, the mechanisms underlying the controlled degradation of endogenous GPLs remain unknown. Thus far, the function of intracellular phospholipases A (PLAs) in GPL remodeling (Lands cycle) in bacteria is not clearly established. Here, we identified the first cytoplasmic membrane-bound phospholipase A(1) (PlaF) from Pseudomonas aeruginosa, which might be involved in the Lands cycle. PlaF is an important virulence factor, as the P. aeruginosa deltaplaF mutant showed strongly attenuated virulence in Galleria mellonella and macrophages. We present a 2.0-A-resolution crystal structure of PlaF, the first structure that reveals homodimerization of a single-pass transmembrane (TM) full-length protein. PlaF dimerization, mediated solely through the intermolecular interactions of TM and juxtamembrane regions, inhibits its activity. The dimerization site and the catalytic sites are linked by an intricate ligand-mediated interaction network, which might explain the product (fatty acid) feedback inhibition observed with the purified PlaF protein. We used molecular dynamics simulations and configurational free energy computations to suggest a model of PlaF activation through a coupled monomerization and tilting of the monomer in the membrane, which constrains the active site cavity into contact with the GPL substrates. Thus, these data show the importance of the PlaF mediated GPL remodeling pathway for virulence and could pave the way for the development of novel therapeutics targeting PlaF.
PlaF is a cytoplasmic membrane-bound phospholipase A1 from Pseudomonas aeruginosa that alters the membrane glycerophospholipid (GPL) composition and fosters the virulence of this human pathogen. PlaF activity is regulated by a dimer-to-monomer transition followed by tilting of the monomer in the membrane. However, how substrates reach the active site and how the characteristics of the active site tunnels determine the activity, specificity, and regioselectivity of PlaF for natural GPL substrates has remained elusive. Here, we combined unbiased and biased all-atom molecular dynamics (MD) simulations and configurational free energy computations to identify access pathways of GPL substrates to the catalytic center of PlaF. Our results map out a distinct tunnel through which substrates access the catalytic center. PlaF variants with bulky tryptophan residues in this tunnel revealed decreased catalysis rates due to tunnel blockage. The MD simulations suggest that GPLs preferably enter the active site with the sn-1 acyl chain first, which agrees with the experimentally demonstrated PLA1 activity of PlaF. We propose that the acyl chain-length specificity of PlaF is determined by the structural features of the access tunnel, which results in favorable free energy of binding of medium-chain GPLs. The suggested egress route conveys fatty acid products to the dimerization interface and, thus, contributes to understanding the product feedback regulation of PlaF by fatty acid-triggered dimerization. These findings open up opportunities for developing potential PlaF inhibitors, which may act as antibiotics against P. aeruginosa.
Cells steadily adapt their membrane glycerophospholipid (GPL) composition to changing environmental and developmental conditions. While the regulation of membrane homeostasis via GPL synthesis in bacteria has been studied in detail, the mechanisms underlying the controlled degradation of endogenous GPLs remain unknown. Thus far, the function of intracellular phospholipases A (PLAs) in GPL remodeling (Lands cycle) in bacteria is not clearly established. Here, we identified the first cytoplasmic membrane-bound phospholipase A 1 (PlaF) from Pseudomonas aeruginosa involved in the Lands cycle. PlaF is an important virulence factor, as the P. aeruginosa delta plaF mutant showed strongly attenuated virulence in Galleria mellonella and macrophages. We present a 2.0-A-resolution crystal structure of PlaF, the first structure that reveals homodimerization of a single-pass transmembrane (TM) full-length protein. PlaF dimerization, mediated solely through the intermolecular interactions of TM and juxtamembrane regions, inhibits its activity. A dimerization site and the catalytic sites are linked by an intricate ligand-mediated interaction network which likely explains the product (fatty acid) feedback inhibition observed with the purified PlaF protein. We used molecular dynamics simulations and configurational free energy computations to suggest a model of PlaF activation through a coupled monomerization and tilting of the monomer in the membrane, which constrains the active site cavity into contact with the GPL substrates. Thus, these data show the importance of the GPL remodeling pathway for virulence and pave the way for the development of a novel therapeutic class of antibiotics targeting PlaF-mediated membrane GPL remodeling. Synopsis Membrane homeostasis can be regulated by phospholipase-controlled deacylation of endogenous glycerophospholipids (GPLs) followed by reacylation of products, known as the Lands cycle in eukaryotes. Here we show that the human pathogen Pseudomonas aeruginosa uses intracellular phospholipase A 1 (PlaF) to modulate membrane GPL composition, which is the first example in bacteria. This newly identified PLA 1 indirectly regulates the bacterial virulence properties by hydrolyzing a specific set of membrane GPLs. The crystal structure of full-length PlaF dimers bound to natural ligands, MD simulations, and biochemical approaches provide insights into the molecular mechanism of dimerization-mediated inactivation of this single-pass transmembrane PLA 1 . Our findings shed light on a mechanism by which bacterial intracellular PLAs might regulate membrane homeostasis what showcases these enzymes as a promising target for a new class of antibiotics.
        
Title: Pseudomonas aeruginosa esterase PA2949, a bacterial homolog of the human membrane esterase ABHD6: expression, purification and crystallization Bleffert F, Granzin J, Gohlke H, Batra-Safferling R, Jaeger KE, Kovacic F Ref: Acta Crystallographica F Struct Biol Commun, 75:270, 2019 : PubMed
The human membrane-bound alpha/beta-hydrolase domain 6 (ABHD6) protein modulates endocannabinoid signaling, which controls appetite, pain and learning, as well as being linked to Alzheimer's and Parkinson's diseases, through the degradation of the key lipid messenger 2-arachidonylglycerol (2-AG). This makes ABHD6 an attractive therapeutic target that lacks structural information. In order to better understand the molecular mechanism of 2-AG-hydrolyzing enzymes, the PA2949 protein from Pseudomonas aeruginosa, which has 49% sequence similarity to the ABHD6 protein, was cloned, overexpressed, purified and crystallized. Overexpression of PA2949 in the homologous host yielded the membrane-bound enzyme, which was purified in milligram amounts. Besides their sequence similarity, the enzymes both show specificity for the hydrolysis of 2-AG and esters of medium-length fatty acids. PA2949 in the presence of n-octyl beta-D-glucoside showed a higher activity and stability at room temperature than those previously reported for PA2949 overexpressed and purified from Escherichia coli. A suitable expression host and stabilizing detergent were crucial for obtaining crystals, which belonged to the tetragonal space group I4122 and diffracted to a resolution of 2.54 A. This study provides hints on the functional similarity of ABHD6-like proteins in prokaryotes and eukaryotes, and might guide the structural study of these difficult-to-crystallize proteins.
Pseudomonas aeruginosa strain 1001 produces an esterase (EstA) that can hydrolyse the racemic methyl ester of beta-acetylthioisobutyrate to produce the (D)-enantiomer, which serves as a precursor of captopril, a drug used for treatment of hypertension. We show here that PA2949 from P. aeruginosa PA01, a homologue of EstA, can efficiently be expressed in an enzymatically active form in E. coli. The enzyme is membrane-associated as demonstrated by cell fractionation studies. PA2949 was purified to homogeneity after solubilisation with the nonionic detergent, Triton X-100, and was shown to possess a conserved esterase catalytic triad consisting of Ser137-His258-Asp286. Our results should allow the development of an expression and purification strategy to produce this biotechnologically relevant esterase in a pure form with a high yield.
        
Title: Genome Sequence of Pseudomonas aeruginosa PA45, a Highly Virulent Strain Isolated from a Patient with Bloodstream Infection Segata N, Ballarini A, Jousson O Ref: Genome Announc, 1:, 2013 : PubMed
Pseudomonas aeruginosa is a ubiquitous opportunistic pathogen causing a broad range of infections in humans. We provide the draft genome sequence of the recently identified and highly virulent P. aeruginosa PA45 strain. Its 6.6-Mb genome contains 6,822 genes, including an unparalleled number of virulence genes, which might explain its aggressive phenotype.
        
Title: Draft Genome Sequence of VIM-2-Producing Multidrug-Resistant Pseudomonas aeruginosa ST175, an Epidemic High-Risk Clone Viedma E, Juan C, Otero JR, Oliver A, Chaves F Ref: Genome Announc, 1:e0011213, 2013 : PubMed
The VIM-2-producing multidrug-resistant high-risk clone Pseudomonas aeruginosa sequence type (ST) 175 was isolated in the setting of a large outbreak in Hospital Universitario 12 de Octubre (Spain) from 2007 to 2010. This strain was resistant to all beta-lactams, fluoroquinolones, and aminoglycosides, with the exception of amikacin, and has become an endemic clone in our institution.
Quorum sensing allows bacteria to sense and respond to changes in population density. Acyl-homoserine lactones serve as quorum-sensing signals for many Proteobacteria, and acyl-homoserine lactone signaling is known to control cooperative activities. Quorum-controlled activities vary from one species to another. Quorum-sensing controls a constellation of genes in the opportunistic pathogen Pseudomonas aeruginosa, which thrives in a number of habitats ranging from soil and water to animal hosts. We hypothesized that there would be significant variation in quorum-sensing regulons among strains of P. aeruginosa isolated from different habitats and that differences in the quorum-sensing regulons might reveal insights about the ecology of P. aeruginosa. As a test of our hypothesis we used RNA-seq to identify quorum-controlled genes in seven P. aeruginosa isolates of diverse origins. Although our approach certainly overlooks some quorum-sensing-regulated genes we found a shared set of genes, i.e., a core quorum-controlled gene set, and we identified distinct, strain-variable sets of quorum-controlled genes, i.e., accessory genes. Some quorum-controlled genes in some strains were not present in the genomes of other strains. We detected a correlation between traits encoded by some genes in the strain-variable subsets of the quorum regulons and the ecology of the isolates. These findings indicate a role for quorum sensing in extension of the range of habitats in which a species can thrive. This study also provides a framework for understanding the molecular mechanisms by which quorum-sensing systems operate, the evolutionary pressures by which they are maintained, and their importance in disparate ecological contexts.
The most feared complication following intestinal resection is anastomotic leakage. In high risk areas (esophagus/rectum) where neoadjuvant chemoradiation is used, the incidence of anastomotic leaks remains unacceptably high ( approximately 10%) even when performed by specialist surgeons in high volume centers. The aims of this study were to test the hypothesis that anastomotic leakage develops when pathogens colonizing anastomotic sites become in vivo transformed to express a tissue destroying phenotype. We developed a novel model of anastomotic leak in which rats were exposed to pre-operative radiation as in cancer surgery, underwent distal colon resection and then were intestinally inoculated with Pseudomonas aeruginosa, a common colonizer of the radiated intestine. Results demonstrated that intestinal tissues exposed to preoperative radiation developed a significant incidence of anastomotic leak (>60%; p<0.01) when colonized by P. aeruginosa compared to radiated tissues alone (0%). Phenotype analysis comparing the original inoculating strain (MPAO1- termed P1) and the strain retrieved from leaking anastomotic tissues (termed P2) demonstrated that P2 was altered in pyocyanin production and displayed enhanced collagenase activity, high swarming motility, and a destructive phenotype against cultured intestinal epithelial cells (i.e. apoptosis, barrier function, cytolysis). Comparative genotype analysis between P1 and P2 revealed a single nucleotide polymorphism (SNP) mutation in the mexT gene that led to a stop codon resulting in a non-functional truncated protein. Replacement of the mutated mexT gene in P2 with mexT from the original parental strain P1 led to reversion of P2 to the P1 phenotype. No spontaneous transformation was detected during 20 passages in TSB media. Use of a novel virulence suppressing compound PEG/Pi prevented P. aeruginosa transformation to the tissue destructive phenotype and prevented anastomotic leak in rats. This work demonstrates that in vivo transformation of microbial pathogens to a tissue destroying phenotype may have important implications in the pathogenesis of anastomotic leak.
        
Title: Deletion and acquisition of genomic content during early stage adaptation of Pseudomonas aeruginosa to a human host environment Rau MH, Marvig RL, Ehrlich GD, Molin S, Jelsbak L Ref: Environ Microbiol, 14:2200, 2012 : PubMed
Adaptation of bacterial pathogens to a permanently host-associated lifestyle by means of deletion or acquisition of genetic material is usually examined through comparison of present-day isolates to a distant theoretical ancestor. This limits the resolution of the adaptation process. We conducted a retrospective study of the dissemination of the P.aeruginosa DK2 clone type among patients suffering from cystic fibrosis, sequencing the genomes of 45 isolates collected from 16 individuals over 35 years. Analysis of the genomes provides a high-resolution examination of the dynamics and mechanisms of the change in genetic content during the early stage of host adaptation by this P.aeruginosa strain as it adapts to the cystic fibrosis (CF) lung of several patients. Considerable genome reduction is detected predominantly through the deletion of large genomic regions, and up to 8% of the genome is deleted in one isolate. Compared with in vitro estimates the resulting average deletion rates are 12- to 36-fold higher. Deletions occur through both illegitimate and homologous recombination, but they are not IS element mediated as previously reported for early stage host adaptation. Uptake of novel DNA sequences during infection is limited as only one prophage region was putatively inserted in one isolate, demonstrating that early host adaptation is characterized by the reduction of genomic repertoire rather than acquisition of novel functions. Finally, we also describe the complete genome of this highly adapted pathogenic strain of P.aeruginosa to strengthen the genetic basis, which serves to help our understanding of microbial evolution in a natural environment.
        
Title: Draft genome sequence for Pseudomonas aeruginosa strain PAO579, a mucoid derivative of PAO381 Withers TR, Johnson SL, Yu HD Ref: Journal of Bacteriology, 194:6617, 2012 : PubMed
Pseudomonas aeruginosa is an opportunistic pathogen that establishes a chronic lung infection in individuals afflicted with cystic fibrosis. Here, we announce the draft genome of P. aeruginosa strain PAO579, an alginate-overproducing derivative of strain PAO381.
        
Title: Complete genome sequence of highly multidrug-resistant Pseudomonas aeruginosa NCGM2.S1, a representative strain of a cluster endemic to Japan Miyoshi-Akiyama T, Kuwahara T, Tada T, Kitao T, Kirikae T Ref: Journal of Bacteriology, 193:7010, 2011 : PubMed
We report the completely annotated genome sequence of Pseudomonas aeruginosa NCGM2.S1, a representative strain of a cluster endemic to Japan with a high level of resistance to carbapenem (MIC >/= 128 mug/ml), amikacin (MIC >/= 128 mug/ml), and fluoroquinolone (MIC >/= 128 mug/ml).
Pseudomonas aeruginosa is a primary cause of opportunistic infections. We have sequenced and annotated the genomes of two P. aeruginosa clinical isolates evidencing different antibiotic susceptibilities. Registered differences in the composition of their accessory genomes may provide clues on P. aeruginosa strategies to thrive in different environments like infection loci.
Pseudomonas aeruginosa is a common opportunistic bacterial pathogen that causes a variety of infections in humans. Populations of P. aeruginosa are dominated by common clones that can be isolated from diverse clinical and environmental sources. To determine whether specific clones are associated with corneal infection, we used a portable genotyping microarray system to analyze a set of 63 P. aeruginosa isolates from patients with corneal ulcers (keratitis). We then used population analysis to compare the keratitis isolates to a wider collection of P. aeruginosa from various nonocular sources. We identified various markers in a subpopulation of P. aeruginosa associated with keratitis that were in strong disequilibrium with the wider P. aeruginosa population, including oriC, exoU, katN, unmodified flagellin, and the carriage of common genomic islands. The genome sequencing of a keratitis isolate (39016; representing the dominant serotype O11), which was associated with a prolonged clinical healing time, revealed several genomic islands and prophages within the accessory genome. The PCR amplification screening of all 63 keratitis isolates, however, provided little evidence for the shared carriage of specific prophages or genomic islands between serotypes. P. aeruginosa twitching motility, due to type IV pili, is implicated in corneal virulence. We demonstrated that 46% of the O11 keratitis isolates, including 39016, carry a distinctive pilA, encoding the pilin of type IV pili. Thus, the keratitis isolates were associated with specific characteristics, indicating that a subpopulation of P. aeruginosa is adapted to cause corneal infection.
We report the annotated genome sequence of multidrug-resistant Pseudomonas aeruginosa strain NCGM1179, which is highly resistant to carbapenems, aminoglycosides, and fluoroquinolones and is emerging at medical facilities in Japan.
        
Title: Genomic analysis and temperature-dependent transcriptome profiles of the rhizosphere originating strain Pseudomonas aeruginosa M18 Wu DQ, Ye J, Ou HY, Wei X, Huang X, He YW, Xu Y Ref: BMC Genomics, 12:438, 2011 : PubMed
BACKGROUND: Our previously published reports have described an effective biocontrol agent named Pseudomonas sp. M18 as its 16S rDNA sequence and several regulator genes share homologous sequences with those of P. aeruginosa, but there are several unusual phenotypic features. This study aims to explore its strain specific genomic features and gene expression patterns at different temperatures. RESULTS: The complete M18 genome is composed of a single chromosome of 6,327,754 base pairs containing 5684 open reading frames. Seven genomic islands, including two novel prophages and five specific non-phage islands were identified besides the conserved P. aeruginosa core genome. Each prophage contains a putative chitinase coding gene, and the prophage II contains a capB gene encoding a putative cold stress protein. The non-phage genomic islands contain genes responsible for pyoluteorin biosynthesis, environmental substance degradation and type I and III restriction-modification systems. Compared with other P. aeruginosa strains, the fewest number (3) of insertion sequences and the most number (3) of clustered regularly interspaced short palindromic repeats in M18 genome may contribute to the relative genome stability. Although the M18 genome is most closely related to that of P. aeruginosa strain LESB58, the strain M18 is more susceptible to several antimicrobial agents and easier to be erased in a mouse acute lung infection model than the strain LESB58. The whole M18 transcriptomic analysis indicated that 10.6% of the expressed genes are temperature-dependent, with 22 genes up-regulated at 28 degrees C in three non-phage genomic islands and one prophage but none at 37 degrees C. CONCLUSIONS: The P. aeruginosa strain M18 has evolved its specific genomic structures and temperature dependent expression patterns to meet the requirement of its fitness and competitiveness under selective pressures imposed on the strain in rhizosphere niche.
Pseudomonas aeruginosa isolates have a highly conserved core genome representing up to 90% of the total genomic sequence with additional variable accessory genes, many of which are found in genomic islands or islets. The identification of the Liverpool Epidemic Strain (LES) in a children's cystic fibrosis (CF) unit in 1996 and its subsequent observation in several centers in the United Kingdom challenged the previous widespread assumption that CF patients acquire only unique strains of P. aeruginosa from the environment. To learn about the forces that shaped the development of this important epidemic strain, the genome of the earliest archived LES isolate, LESB58, was sequenced. The sequence revealed the presence of many large genomic islands, including five prophage clusters, one defective (pyocin) prophage cluster, and five non-phage islands. To determine the role of these clusters, an unbiased signature tagged mutagenesis study was performed, followed by selection in the chronic rat lung infection model. Forty-seven mutants were identified by sequencing, including mutants in several genes known to be involved in Pseudomonas infection. Furthermore, genes from four prophage clusters and one genomic island were identified and in direct competition studies with the parent isolate; four were demonstrated to strongly impact on competitiveness in the chronic rat lung infection model. This strongly indicates that enhanced in vivo competitiveness is a major driver for maintenance and diversifying selection of these genomic prophage genes.
One of the hallmarks of the Gram-negative bacterium Pseudomonas aeruginosa is its ability to thrive in diverse environments that includes humans with a variety of debilitating diseases or immune deficiencies. Here we report the complete sequence and comparative analysis of the genomes of two representative P. aeruginosa strains isolated from cystic fibrosis (CF) patients whose genetic disorder predisposes them to infections by this pathogen. The comparison of the genomes of the two CF strains with those of other P. aeruginosa presents a picture of a mosaic genome, consisting of a conserved core component, interrupted in each strain by combinations of specific blocks of genes. These strain-specific segments of the genome are found in limited chromosomal locations, referred to as regions of genomic plasticity. The ability of P. aeruginosa to shape its genomic composition to favor survival in the widest range of environmental reservoirs, with corresponding enhancement of its metabolic capacity is supported by the identification of a genomic island in one of the sequenced CF isolates, encoding enzymes capable of degrading terpenoids produced by trees. This work suggests that niche adaptation is a major evolutionary force influencing the composition of bacterial genomes. Unlike genome reduction seen in host-adapted bacterial pathogens, the genetic capacity of P. aeruginosa is determined by the ability of individual strains to acquire or discard genomic segments, giving rise to strains with customized genomic repertoires. Consequently, this organism can survive in a wide range of environmental reservoirs that can serve as sources of the infecting organisms.
BACKGROUND: Pseudomonas aeruginosa is a ubiquitous environmental bacterium and an important opportunistic human pathogen. Generally, the acquisition of genes in the form of pathogenicity islands distinguishes pathogenic isolates from nonpathogens. We therefore sequenced a highly virulent strain of P. aeruginosa, PA14, and compared it with a previously sequenced (and less pathogenic) strain, PAO1, to identify novel virulence genes. RESULTS: The PA14 and PAO1 genomes are remarkably similar, although PA14 has a slightly larger genome (6.5 megabses [Mb]) than does PAO1 (6.3 Mb). We identified 58 PA14 gene clusters that are absent in PAO1 to determine which of these genes, if any, contribute to its enhanced virulence in a Caenorhabditis elegans pathogenicity model. First, we tested 18 additional diverse strains in the C. elegans model and observed a wide range of pathogenic potential; however, genotyping these strains using a custom microarray showed that the presence of PA14 genes that are absent in PAO1 did not correlate with the virulence of these strains. Second, we utilized a full-genome nonredundant mutant library of PA14 to identify five genes (absent in PAO1) required for C. elegans killing. Surprisingly, although these five genes are present in many other P. aeruginosa strains, they do not correlate with virulence in C. elegans. CONCLUSION: Genes required for pathogenicity in one strain of P. aeruginosa are neither required for nor predictive of virulence in other strains. We therefore propose that virulence in this organism is both multifactorial and combinatorial, the result of a pool of pathogenicity-related genes that interact in various combinations in different genetic backgrounds.
A lipase gene (lip3) was cloned from the Pseudomonas aeruginosa strain LST-03 (which tolerates organic solvents) and expressed in Escherichia coli. The cloned sequence includes an ORF consisting of 945 nucleotides, encoding a protein of 315 amino acids (Lip3 lipase, 34.8 kDa). The predicted Lip3 lipase belongs to the class of serine hydrolases; the catalytic triad consists of the residues Ser-137, Asp-258, and His-286. The gene cloned in the present study does not encode the LST-03 lipase, a previously isolated solvent-stable lipase secreted by P. aeruginosa LST-03, because the N-terminal amino acid sequence of the Lip3 lipase differs from that of the LST-03 lipase. Although the effects of pH on the activity and stability of the Lip3 lipase, and the temperature optimum of the enzyme, were similar to those of the LST-03 lipase, the relative activity of the Lip3 lipase at lower temperatures (0-35 degrees C) was higher than that of the LST-03 lipase. In the absence of organic solvents, the half-life of the Lip3 lipase was similar to that of the LST-03 lipase. However, in the presence of most of the organic solvents tested in this study (the exceptions were ethylene glycol and glycerol), the stability of the Lip3 lipase was lower than that of the LST-03 lipase.
        
Title: Genome-wide cloning and characterization of microbial esterases Ro HS, Hong HP, Kho BH, Kim S, Chung BH Ref: FEMS Microbiology Letters, 233:97, 2004 : PubMed
We have isolated putative esterase genes from various bacterial chromosomes. Thirty open reading frames predicted to encode esterases were randomly selected from 13 sequenced bacterial chromosomes and were cloned into an expression vector. The esterase activity of the resulting clones was tested on a tributyrin plate at different pH values and temperatures. Nine out of thirty tested clones exhibited significant tributyrin hydrolyzing activity. The enzyme S5 from the gene b0494 of Escherichia coli, the enzyme S12 from the gene STM0506 of Salmonella typhimurium, and the enzyme S28 from the gene AF1716 of Archaeoglobus fulgidus exhibited high activity at an alkaline pH range. The esterase S11 encoded by the gene PA3859 of Pseudomonas aeruginosa PAO1 and the esterase S21 from the gene SMc01033 of Sinorhizobium meliloti 1021, both showed a sharp increase in enzyme activity above pH 8.0. Furthermore, the enzymes S5, S12, S21, and S28 retained the esterase activity when they were incubated at 50 degrees C, suggesting that these enzymes are thermostable. Subsequent pH vs. activity and temperature vs. activity experiments with selected enzymes in a solution assay system confirmed the validity of the above data. The genome-wide exploration strategy of proteins provided valuable information on the esterases by revealing subtle biochemical differences between the esterases of different sources.
        
Title: Cloning and sequence analysis of the estA gene encoding enzyme for producing (R)-beta-acetylmercaptoisobutyric acid from Pseudomonas aeruginosa 1001 Lee J, Boyapati G, Song K, Rhee S, Kim C Ref: J Biosci Bioeng, 90:684, 2000 : PubMed
The estA gene encoding the enzyme that catalyzes the production of (R)-beta-acetylmercaptoisobutyric acid from (R,S)-ester from Pseudomonas aeruginosa 1001, was cloned in Escherichia coli and its nucleotide sequence was determined, revealing the presumed open reading frame encoding a polypeptide of 316 amino acid residues (948 nucleotides). The overall A + T and C + G compositions were 32.59% and 67.41%, respectively. The amino acid sequence of the estA gene product showed a significant similarity with that of the triacylglycerol lipase from Psychrobacter immobilis (38% identity), triacylglycerol lipase from Moraxella sp. (36% identity), and two forms of carboxyl esterases from Acinetobacter calcoaceticus (17% and 17% identities). The deduced amino acid sequences have a pentapeptide consensus sequence, G-X-S-X-G, having an active serine residue, and another active site, dipeptides H-G, located at 70-100 amino acids upstream of the G-X-S-X-G consensus sequence.
Pseudomonas aeruginosa is a ubiquitous environmental bacterium that is one of the top three causes of opportunistic human infections. A major factor in its prominence as a pathogen is its intrinsic resistance to antibiotics and disinfectants. Here we report the complete sequence of P. aeruginosa strain PAO1. At 6.3 million base pairs, this is the largest bacterial genome sequenced, and the sequence provides insights into the basis of the versatility and intrinsic drug resistance of P. aeruginosa. Consistent with its larger genome size and environmental adaptability, P. aeruginosa contains the highest proportion of regulatory genes observed for a bacterial genome and a large number of genes involved in the catabolism, transport and efflux of organic compounds as well as four potential chemotaxis systems. We propose that the size and complexity of the P. aeruginosa genome reflect an evolutionary adaptation permitting it to thrive in diverse environments and resist the effects of a variety of antimicrobial substances.