Similar to the extracellular lipolytic enzymes from the related g

Similar to the extracellular lipolytic enzymes from the related genus Bacillus, Ala replaces the first Gly of the conserved Gly-X-Ser-X-Gly pentapeptide motif in PlpB [20]. Previous studies have reported AZD6094 molecular weight that supplementing

the fermentation medium with fatty acids of various chain lengths enhanced the biosynthesis of lipopeptides containing specific fatty acid side chains [21, 22]. Thus, we speculated that the predicted extracellular lipase, PlpB, may facilitate the production of pelgipeptin through hydrolysis of water-soluble carboxyl esters in cultures of strain B69. The plpC gene encoded a predicted phosphopantetheinyl transferase The T domains of the PlpD-F must be converted from their inactive apo forms to cofactor-bearing

holo forms by a specific phosphopantetheinyl transferase via phosphopantetheinylation of thiotemplates. The product of the plpC gene might be responsible for this conversion. The deduced protein (244 amino acids) encoded by plpC showed high similarity to Sfp from B. subtilis (38% identity, 58% similarity), Gsp from B. brevis (37% identity, 54% similarity), Psf-1 from B. pumilus (35% identity, 55% similarity), and other phosphopantetheinyl CFTRinh-172 chemical structure transferases associated with non-ribosomal peptide synthetases. Further analysis indicated that PlpC fell within the W/KEA subfamily of Sfp-like phosphopantetheinyl transferases, which is involved in many kinds of secondary metabolite synthesis [23]. The N-terminal C domain The plp gene 3-MA ic50 cluster contained a special C domain at the N terminus of PlpD (first C domain), in addition to eight typical C domains that presumably catalyzed peptide-bond formation between the adjacent amino acid residues of pelgipeptin. Sequence alignments shown that this first C domain of PlpD had only 19-25% identity with the remaining eight C domains of PlpD, -E, and –F, but shared 31-43% identity with other first C domains of lipopeptide synthetases, such as NRPSs of surfactin

[24], lichenysin [25], fengycin [26], fusaricidin [27] and polymyxin [12]. In the initiation reaction of the biosynthesis of surfactin, module 1 of SrfA alone was sufficient to catalyze the transfer of β-hydroxymyristoyl group to SrfA followed by formation of β-hydroxymyristoyl-glutamate [28]. The recent study of Choi’ selleck inhibitor group also suggested that only the N-terminal C domain of PmxE was necessary for the fatty acyl tailing of polymyxin [12]. Thus, in the initial step of pelgipeptin biosynthesis, the PlpD N-terminal C domain was proposed to catalyze the condensation of the first amino acid (Dab) with a β-hydroxy fatty acid transferred from coenzyme A. Conclusions In the present study, we identified a potential pelgipeptin synthetase gene cluster (plp) in P. elgii B69 through genome analysis. The cluster spans 40.8 kb with three NRPS genes (plpD, plpE, and plpF).

Sixteen samples (four groups of four samples) were collected and

Sixteen samples (four groups of four samples) were collected and analyzed by 454 Flx pyrosequencing, and comparisons were made between Herd 1 and Herd 2, between Herd 1 Time 1 and Herd 1 Time 2 tissues, and between tissue and

brush samples from Herd 1 Time 2 in these results. Bar-coded 16S pyrosequencing A total of 210,433 quality reads were obtained from the four groups of pigs sampled, with at least 15,000 reads per group. Samples of tonsil tissue from Herd 1 at time 2 yielded the fewest number of quality reads. Table 1 shows the number Capmatinib concentration of reads obtained from each of the four groups of pigs and the percent of those reads that could be taxonomically assigned at a 60% confidence level using the RDP Classifier. Overall, greater than 97% of the total reads could be taxonomically assigned at the phylum, class, and order level. This dropped to 90.5% at the family level and further dropped to 72.3% at the genus level. Taxonomic assignment of reads was consistently Geneticin nmr lower at all levels for Herd 2 compared to all three

groups of samples from Herd 1. Table 1 Taxonomic characterization of tonsillar microbial communities   Sample # Readsa Phylumb Classb Orderb Familyb Genusb Herd 2 Tissue 99894 95.6% 95.4% 94.8% 82.7% 64.7% Herd 1 Time 1 Tissue 54932 99.7% 99.6% 99.1% 96.7% 85.0% Herd 1 Time 2 Tissue 15929 99.8% 99.5% 99.4% 98.7% 70.1% Herd 1 Time 2 Brush 39678 99.9% 99.5% 99.5% 98.6% 75.0% Total # reads   210433 205795 205346 204467 190540 152192 Avg % Assigned     97.8% 97.6% 97.2% 90.5% 72.3% a the sum of all sequences of 4 individuals b%

of reads taxonomically assigned at each level Figure 1 shows the rarefaction plots for Baf-A1 cost the four groups. Herd 1 and Herd 2 plots demonstrate that Herd 2 had significantly more phylotypes and greater unsampled diversity (Figure 1A). Comparison of the three groups of Herd 1 pigs reveals similar trajectories even though the number of reads sampled varied (Figure 1B). Taken together, this suggests that the microbial community in the tonsils in Herd 2 was more complex at this level of Akt inhibitor interrogation. Figure 1 Rarefaction curves computed with the RDP Pyrosequencing Pipeline. Rarefaction curves are presented for each group of samples obtained by 454 pyrosequencing. The curves for herds 1 and 2 at time 1 are shown in panel A, while the curves for all three groups of samples from herd 1 are shown in panel B. As stated above, a total of 210,433 reads was obtained for the four groups. Table 2 indicates the number of reads made from each individual sample as well as the total for each group. The number of reads for each individual and each group forms the basis of the comparisons for the number of OTUs, Chao-1 richness, and the Simpson diversity indices. Using a cutoff of 97% identity for species level distinctions, the number of OTUs detected per sample ranged from 57 to 730.

J Cell Biochem 2009, 108:117–124 PubMedCrossRef 16 Ohkawa H, Ohi

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Int J Clin Pharmacol Ther 1998, 36 (5) : 258–262 PubMed 37 Moore

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Guidetti L, Bessone Alves F, Mota P, Freitas J, Baldari C: Effect of creatine on swimming velocity, body composition and hydrodynamic variables. J Sports Med Phys Fitness 2007, 47 (1) : 58–64.PubMed 40. Jowko E, Ostaszewski P, Jank M, Sacharuk J, Zieniewicz A, Wilczak J, Nissen S: Creatine and beta-hydroxy-beta-methylbutyrate (HMB) additively increase lean body mass and muscle strength during a weight-training program. Nutrition 2001, 17 (7–8) : 558–566.PubMedCrossRef 41. Acheson Nutlin-3a KJ, Gremaud G, Meirim I,

Montigon F, Krebs Y, Fay LB, Gay LJ, Schneiter P, Schindler C, Tappy L: Metabolic effects of caffeine in humans: lipid oxidation or futile cycling? Am J Clin Nut 2004, 79 (1) : 40–46. 42. Greenway FL, De Jonge L, Blanchard D, Frisard M, Smith SR: Effect of a dietary herbal supplement containing caffeine and ephedra on weight, metabolic rate, and body composition. Obes Res 2004, 12 (7) : 1152–1157.PubMedCrossRef 43. Kobayashi-Hattori K, Mogi A, Matsumoto Y, Takita T: Effect of caffeine on the body fat and lipid metabolism of rats fed on a high-fat diet. Bioscience, biotechnology, and biochemistry 2005, 69 (11) : 2219–2223.PubMedCrossRef 44. Butcher RW, Baird CE, Sutherland EW: Effects of lipolytic and antilipolytic substances on adenosine 3′,5′-monophosphate levels in isolated fat cells. J Biol Chem 1968, 243 (8) : 1705–1712.PubMed 45. Thornton MK, Potteiger JA: Effects of resistance exercise bouts of different intensities but equal work on EPOC. Med Sci Sports Exerc 2002, 34

(4) : 715–722.PubMedCrossRef Competing interests The authors declare that they have no competing interests. Authors’ contributions find more All authors have read and approved the final manuscript. AJN is the principal investigator of the GDC-0449 solubility dmso project. FSCF, NMBC and AJN designed the study; FSCF, SAF and MACJ collected the data; FSCF and AJN conducted data analysis; FSCF and AJN wrote the manuscript.”
“Background Both creatine and caffeine have found common use in sport [1–4] for a variety of training and competitive aims. Popular use of caffeine is often at high concentrations (4-9 mg/kg) on the basis that these are more efficacious, but the proof of this is low with individual variability and consumption habits being the more dominant factors [5, 6].

Gene 1994, 145:69–73 PubMedCrossRef 33 Olivares J, Casadesus J,

Gene 1994, 145:69–73.PubMedCrossRef 33. Olivares J, Casadesus J, Bedmar EJ: Method for testing degree of infectivity

of Rhizobium meliloti strains. Appl Environ Microbiol 1980, 39:967–970.PubMed 34. Miller J: Experiments in Molecular Genetics Cold EPZ-6438 chemical structure Spring Harbor, New York: Cold Spring Harbor Laboratory Press 1972. Authors’ GSK2879552 concentration contributions PvD performed experiments and wrote the manuscript, JS and JO helped coordinate the study, participated in its design and in the writing of the manuscript. MJS performed experiments, coordinated and designed the study and participated in the writing of the manuscript.”
“Background C-1027, also called lidamycin, is a chromoprotein

antitumor antibiotic produced by Streptomyces globisporus C-1027 [1]. As a member of the enediyne family characterized by click here two acetylenic groups conjugated to a double bond within a 9- or 10-membered ring, C-1027 is 1,000 times more potent than adriamycin, one of the most effective chemotherapeutic agents [2]. C-1027 is a complex consisting of a 1:1 non-covalently associated mixture of an apoprotein and a 9-membered enediyne chromophore. The chromophore of the enediyne family can undergo a rearrangement to form a transient benzenoid diradical species that can abstract hydrogen atoms from DNA to initiate a cascade leading to DNA breaks, ultimately leading to cell death [3, 4]. This GPX6 novel mode of action has attracted great interest in developing these compounds into therapeutic agents for cancer. A CD33 monoclonal antibody (mAB)-calicheamicin (CAL) conjugate (Mylotarg) and neocarzinostatin

(NCS) conjugated with poly (styrene-co-maleic acid) (SMANCS) were approved in the USA [5] and in Japan [6], respectively. Recently, C-1027 has entered phase II clinical trial in China [7]. Appreciation of the immense pharmacological potential of enediynes has led to a demand for the economical production of C-1027 and its analogues at an industrial scale. Control of secondary metabolite production in streptomycetes and related actinomycetes is a complex process involving multiple levels of regulation in response to environmental factors [For review, see [8, 9]]. In most cases that have been studied in detail, the final checkpoint in production of a secondary metabolite is a pathway-specific transcriptional regulatory gene situated in the biosynthetic cluster. Remarkable progress has been made in dissecting the functions of the pathway-specific regulators. For example, ActII-ORF4 regulates transcription from the actinorhodin biosynthetic genes of S. coelicolor [10, 11] and StrR controls the streptomycin biosynthetic cluster of S. griseus [12, 13].

We analyzed Streptococcus Group I (SGI) and Streptococcus Group I

We analyzed Streptococcus Group I (SGI) and Streptococcus Group II (SGII) CRISPRs, by amplifying them based on their consensus repeat motifs (Additional file 1: Table S1) [14, 15]. These CRISPR repeat motifs are present in a variety of different streptococcal species, including S. pyogenes and S. agalactiae that are primarily found on the skin, and numerous different viridans streptococci such as S. mutans, S. gordonii, S. mitis, and S. sanguinis that are found in the oral cavity (Additional file 1: Table S2). The benefits of this approach were that we could analyze CRISPR spacers from numerous streptococcal Evofosfamide order species simultaneously and were not limited to examining individual CRISPR loci.

Ruxolitinib The main drawbacks of this technique were that it was difficult to ascribe the spacers to any single CRISPR locus or bacterial species, and the consensus repeat motifs could be present in some non-streptococcal species. We amplified CRISPRs from all subjects, sample types, and www.selleckchem.com/products/jnk-in-8.html time points, and sequenced 4,090,937 CRISPR spacers consisting of 2,212,912 SGI and 1,878,025 SGII spacers using semiconductor sequencing [36] (Additional file 1: Table S3). There were 2,169,768 spacers obtained from saliva and 1,921,169 spacers obtained from skin. For all time points combined, we

found 1,055,321 spacers for Subject #1, 781,534 spacers for Subject #2, 1,088,339 for Subject #3, and 891,618 spacers for Subject #4. Spacer binning and estimated coverage We binned each of the CRISPR spacers according to trinucleotide content according to our previously described

protocols [10]. The majority of the CRISPR spacers identified in each subject and time point were identical to other spacers, with only 0.001% of SGI and 0.002% of SGII spacers identified as having polymorphisms that necessitated grouping according to trinucleotide content. We sequenced an average of 28,333 spacers per time point and sample type in each subject to capture the majority of the CRISPR spacer diversity in these environments. We then performed rarefaction analysis on all subjects by CRISPR and sample these type to estimate how thoroughly each had been evaluated. We found that all curves neared asymptote for all subjects, sample types, and time points, with the exception of Subject#1 in the evening of week 8 for SGII CRISPR spacers (Additional file 2: Figure S1). CRISPR spacer distribution We compared CRISPR spacers and their relative abundances across all time points in each subject to determine how spacers in each subject were distributed over time. At each time point, many of the spacers found at early time points persisted throughout later time points (Figure 1 and Additional file 2: Figure S2), indicating that many of the SGI and SGII CRISPR spacers were conserved throughout the study period.

The D and G bands of ERGO were shifted to lower wave numbers of 1

The D and G bands of ERGO were shifted to lower wave numbers of 1,352 and 1583 cm-1, respectively, compared to GO. The intensity ratio of the D to G peak (ID/IG) is an indication of the degree of defects in graphene-related materials where the intensity of the D band is related to the selleck chemicals disordered structure of the sp2 lattice [13]. For example, pristine graphite which has the lowest disorder density in the sp2 lattice gave a ratio of 0.23, while thermally reduced graphene oxide which has the

highest disorder density gave a ratio of 1.35 Mdivi1 chemical structure [13]. In this work, the ratio of the ID/IG peak for ERGO is 1.03, while the ID/IG peak for GO (measured from the nearest baseline) is 1.02. This result is in accordance Vemurafenib mouse with previous reports of 1.08 and 1.05 for ERGO and GO, respectively [13]. This result indicates that GO reduction to ERGO did not increase the defect density significantly. It can be suggested that the sp2 lattice was maintained even after reduction of GO to ERGO and this is also in accordance with the FTIR of ERGO

where the sp2-hybridized C=C bonds are still present in ERGO at around 1,610 cm-1. In order to prove that ERGO is the result of electrochemical reduction of GO in 6 M KOH by voltammetric cycling, GO films were immersed in deoxygenated 6 M KOH solutions for 1 h and 4 days at room temperature. Figure 3a,b shows the FTIR of GO immersed in deoxygenated 6 M KOH for 1 h and 4 days, respectively. The distinct differences shown in these figures and FTIR of pure GO are the disappearance of the C=O peak at 1,730 cm-1 and the appearance of two strong new peaks at 1,598 and 1,368 cm-1 (for a 1-h immersion) and 1,584 and 1,374 cm-1 (for a 4-day immersion). Both peaks (1,598 and 1,584 cm-1) and (1,368 and 1,374 cm-1) are attributed to the carboxylate COO- group, which has strong vibrations at 1,610 to 1,550 cm-1 and 1,420 to 1,300 cm-1[28, 29]. The presence of the COO- ion is due to the reaction between KOH and the acidic COOH groups in GO. It should be noted that the peaks Racecadotril due to COO- are stronger

than the peak due to OH vibration at 3,400 cm-1 in the FTIR spectrum of GO immersed in KOH. This is in contrast to the pure GO spectrum where all the peaks are relatively weaker than the OH peak. The complete disappearance of the C=O peak in the FTIR spectrum of GO immersed in KOH also shows that the peak at 1,730 cm-1 (C=O) is solely due to the carboxylic COOH group in GO. This also proves that the COOH groups in GO were not reduced to aldehyde HC=O and ketone C=O groups during immersion in 6 M KOH solution. The peaks for the C-OH stretching at 1,218 cm-1, OH bending of C-OH at 1,424 cm-1, stretching of the sp2-hybridized C=C bond at 1,625 cm-1 are no longer visible due to the strong vibration of the COO- group in the FTIR spectrum of GO immersed in the KOH solution.

Mol Plant Microbe Interact 2002,15(6):522–528 PubMedCrossRef 39

Mol Plant Microbe Interact 2002,15(6):522–528.PubMedCrossRef 39. Djordjevic MA: Sinorhizobium meliloti metabolism in the root nodule:

a proteomic perspective. Proteomics 2004,4(7):1859–1872.PubMedCrossRef 40. Klomsiri C, Panmanee W, Dharmsthiti S, Vattanaviboon P, Mongkolsuk S: Novel roles of ohrR-ohr in Xanthomonas sensing, metabolism, and physiological adaptive response to lipid hydroperoxide. J Bacteriol 2005,187(9):3277–3281.PubMedCrossRef Selleckchem AL3818 41. Vattanaviboon P, Whangsuk W, Panmanee W, Klomsiri C, Dharmsthiti S, Mongkolsuk S: Evaluation of the roles that alkyl hydroperoxide reductase and Ohr play in organic peroxide-induced gene expression and protection against organic peroxides in Xanthomonas campestris . Biochem Biophys Res Commun 2002,299(2):177–182.PubMedCrossRef 42. Soonsanga S, Lee JW, Helmann JD: Oxidant-dependent switching between reversible and sacrificial oxidation pathways for Bacillus subtilis OhrR. Mol Microbiol 2008,68(4):978–986.PubMedCrossRef 43. Soonsanga S, Lee JW, Helmann JD: Conversion of Bacillus subtilis OhrR from a 1-Cys to a 2-Cys peroxide sensor. J Bacteriol 2008,190(17):5738–5745.PubMedCrossRef 44. Palma M, DeLuca D, Worgall S, Quadri LE: Transcriptome analysis of the response of Pseudomonas aeruginosa to hydrogen peroxide. J Bacteriol 2004,186(1):248–252.PubMedCrossRef 45. Nanda AK, Andrio E, Marino D, Pauly N, Dunand C: Reactive oxygen species during plant-microorganism early

Autophagy activator interactions. J Integr Plant Biol 2010,52(2):195–204.PubMedCrossRef 46. Rubio MC, James EK, Clemente MR, Bucciarelli B, Fedorova M, Vance CP, Becana M: Localization of superoxide dismutases and hydrogen peroxide eFT508 in legume root nodules. Mol Plant Microbe Interact 2004,17(12):1294–1305.PubMedCrossRef 47. Miller JH: Experiments in molecular genetics. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 1972. 48. Gouffi K, Pichereau V, Rolland JP, Thomas D, Bernard T, Blanco C: Sucrose is a nonaccumulated osmoprotectant in Sinorhizobium meliloti . J Bacteriol 1998,180(19):5044–5051.PubMed 49. Sambrook J, Fritsch EF, Maniatis T: Molecular cloning: a laboratory manual. 2nd edition. Edited by: Cold Spring

Harbor. New York: Cold Spring Harbor; 1989. 50. Bardonnet N, Blanco C: uidA antibiotic resistance cassettes for insertion mutagenesis, gene fusion and genetic constructions. Cediranib (AZD2171) FEMS Microbiol Lett 1992, 93:243–248. 51. Schafer A, Tauch A, Jager W, Kalinowski J, Thierbach G, Puhler A: Small mobilizable multi-purpose cloning vectors derived from the Escherichia coli plasmids pK18 and pK19: selection of defined deletions in the chromosome of Corynebacterium glutamicum . Gene 1994,145(1):69–73.PubMedCrossRef 52. Dennis JJ, Zylstra GJ: Plasposons: modular self-cloning minitransposon derivatives for rapid genetic analysis of gram-negative bacterial genomes. Appl Environ Microbiol 1998,64(7):2710–2715.PubMed 53. Finan TM, Hartweig E, LeMieux K, Bergman K, Walker GC, Signer ER: General transduction in Rhizobium meliloti .

The formation of Au NPs was monitored by UV–vis spectra of the re

The formation of Au NPs was monitored by UV–vis spectra of the reaction mixture from 210 to 800 nm. Primary study of nanoparticle shape and size was carried out using an SPI-3800N atomic force microscope with SPA 400 soundproof housing sample holder connected to an imaging system (Seiko Instruments, Chiba, Japan). Five microlitres was taken from the reaction mixture and placed on the glass grid and dried at room temperature. The images were obtained using SPIWin (3800N) ver. 3.02J (Wyandotte, MI, USA). Morphology and grain size of these nanoparticles were BTSA1 nmr analysed using a Hitachi H-7100 transmission electron microscope. Two microlitres was taken from the two reaction mixtures and placed on carbon-coated copper grids

and Napabucasin cell line dried at room MG-132 concentration temperature. The transmission electron micrographs and the SAED patterns were recorded at an acceleration voltage of 100 kV. The images were analysed using the ImageJ 1.43M software. FT-IR analysis was done using Jasco FT/IR-680 plus (Easton, MD, USA) coupled to a high-performance computer. The samples (100 μL) were placed over the ATR analyser, and the resulting spectra were analysed using Spectra Manager ver. 1.06.02. Zeta potential measurements were performed using the Malvern Zetasizer Nano ZS model ZEN3600 (Malvern, UK) equipped with a standard

633-nm laser. Confirmatory study of resulting Au NPs was done by XRD using a Rigaku RINT-TTR diffractometer (Tokyo, Japan) equipped with a parallel incident beam (Göbel mirror) and a vertical θ-θ goniometer. Samples were placed directly on the sample holder. The X-ray many diffractometer was operated at 50 kV and 300 mA to generate CuKα radiation. The scan rate was set to 5° mil−1. Identification of the metallic gold was obtained from the JCPDS database. Preparation of biomass-supported Au nanocatalyst in 4-nitrophenol degradation The reduction of 4-NP by NaBH4 was studied as a model reaction to probe catalytic efficiency of a biomass-supported Au catalyst for heterogeneous systems. Under experimental conditions, reduction does not proceed at all simply with the addition of NaBH4 or biomass alone. However, in the presence of a biomass-supported Au catalyst, it proceeds to completion with formation of 4-aminophenol

(4-AP). To study the reaction in a quartz cuvette, 2.77 mL of water was mixed with 30 μL (10−2 M) of 4-NP solution and 200 μL of freshly prepared NaBH4 (10−1 M) was added. The Au NP reaction mixture along with the MBF was dried for 24 h at 90°C, and 5 mg of biomass-Au NP composite (size approximately 50 nm, 4.2 × 10−6 mol dm−3) was added to the above reaction mixture. A similar technique was used by Narayanan and Sakthivel [20] by coating fungal mycelia-coated Au NPs on glass beads. UV–vis spectra of the sample were recorded at every 2-min interval in the range of 200 to 600 nm. The rate constant of the reduction process was determined by measuring the change in absorbance of the initially observed peak at 400 nm, for the nitrophelate ion as the function of time.

Methods Bacterial strains and growth conditions For Suppression S

Methods Bacterial C188-9 strains and growth conditions For Suppression Subtractive Hybridization (SSH) we used APEC strain IMT5155 (O2:K1:H5) [10] and human UPEC strain CFT073 (O6:K2:H5) [41]. IMT5155 was isolated in 2000 from the internal organs of a laying hen in Germany with clinical symptoms of septicemia. It has been included in large-scale phylogenetic analysis and was grouped into one of the most dominant

lineages, namely phylogenetic group B2 and multi locus sequence type (ST) 140 of ST complex 95 complex [10, 37, 42]. Chicken infection studies using a systemic infection model [43] showed that APEC strain IMT5155 as well as UPEC strain CFT073 cause severe symptoms of systemic infection in 5-week-old SPF chickens and can selleck products be isolated from all internal organs in comparable numbers (C. Ewers, unpublished data). Non-pathogenic E. coli K-12 strain was

used as control strain in SSH KU55933 supplier analysis. To determine the distribution of the putative adhesin gene aatA among ExPEC and commensal E. coli strains, a strain collection (n = 779) available at the Institute of Microbiology and Epizootics, Freie Universität Berlin (n = 691), and at the College of Veterinary Medicine, Nanjing Agricultural University (n = 88) was screened. The strain set included 336 APEC, 149 UPEC, 25 newborn meningitis-causing E. coli (NMEC), and 44 pathogenic strains from diverse extraintestinal locations, referred to as “”other ExPEC”". The majority of ExPEC strains originated from birds (n = 336), companion animals (n = 90), and humans (n = 89). In addition, a total of 225 commensal strains from humans (n = 89), birds (n = 103), and from non-avian animal pheromone sources (n = 33) were included. E. coli DH5α was used for cloning procedures, BL21(DE3)pLysS was included in protein expression analysis [44] and the fim negative E. coli strain AAEC189 [20] was used for adhesion assay experiments. All E. coli strains were grown at 37°C in LB medium, supplemented with ampicillin (100 μg/ml LB), where necessary. Suppression

Subtractive Hybridization (SSH) SSH was carried out between APEC strain IMT5155 and UPEC strain CFT073 using Clontech PCR-Select™ Bacterial Genome Subtraction Kit (Clontech, Heidelberg, Germany) according to the manufacturer’s manual. Briefly, genomic DNA (1.5-2.0 μg/subtraction) of IMT5155 and CFT073 served as tester and driver DNA, respectively. The extracted genomic DNA of tester and driver was digested with restriction enzyme RsaI. Tester DNA was subdivided into two portions, which were then ligated with Adaptor 1 and Adaptor 2R, respectively, provided with the kit. After that, two hybridizations were performed. First, an excess of driver DNA was added to each adaptor-ligated tester sample. The samples were then heat-denatured and allowed to anneal. During the second hybridization, the two primary hybridization samples were mixed together without denaturing.