Campylobacter species could readily be


Campylobacter species could readily be detected in feces from both the healthy and diarrheic dogs (Figure 1). From a public health perspective, several findings are of note. C. upsaliensis, which was the predominant species detected in this study, has been reported, second only to C. jejuni, as the most frequently isolated cause of campylobacteriosis in some US settings [5]. As well, many of the Campylobacter species examined, including known or emerging human pathogens, were detectable in both the healthy and diarrheic dog populations, with most species found at significantly higher levels in the diarrheic population (Table 1). This becomes increasingly relevant when the level of organisms detected PF-02341066 concentration is considered. Figure 1 highlights that in both dog populations, Campylobacter levels reaching 108 organisms/g of feces could be detected. With reports that the human infectious dose for campylobacteriosis by C. jejuni can be as low as 8 × 102 organisms ingested [23], the possibility of accidental exposure to infectious levels of Campylobacter from pet dogs in a household VRT752271 in vivo is within the realm of possibility. Taken together, our results support the findings of previous groups indicating pet dogs as a risk factor for campylobacteriosis [8–10]. From a Campylobacter ecology perspective, an important finding from this data is the species

richness of Campylobacter detected, particularly in the diarrheic samples. The diarrheic dog samples examined in this study came from clinical submissions where the major clinical sign was persistent diarrhea. In the veterinary context, samples from acute cases (often caused by dietary indiscretion; i.e. eating garbage) would be

submitted rarely since the diarrhea episode would resolve Immune system in a short time. The etiology of the diarrhea was not considered in our sample selection, although in many cases, intestinal bacterial overgrowth associated with increased numbers of Clostridium perfringens was suspected. This suggests that the apparent enrichment of Campylobacter populations may be related to environmental changes consistent with the physiological condition of diarrhea (which may include increased stool volume and weight, increased defecation frequency and loose stools), rather than any particular pathogen or disorder. This is consistent with reports of an increase in C. coli numbers in pigs suffering from swine dysentery caused by Brachyspira hyodysenteriae, where the reason for that Campylobacter increase was unclear [24]. It is possible that the healthy dogs had similar species richness, but the majority of species were present at a level below our tests’ detection limits. However, the selleck chemical maximum levels of organisms detected were similar in the healthy and diarrheic samples (~108 organisms/g, Figure 1), suggesting that enrichment of Campylobacter species in the dogs with diarrhea was not uniform and that the maximum abundance of Campylobacter is limited in some way.

CrossRef 7 Ninomiya T, Wei Z, Muraoka S, Yasuhara R, Katayama K,

CrossRef 7. Ninomiya T, Wei Z, Muraoka S, Yasuhara R, Katayama K, Takagi T: Conductive filament scaling of TaO x bipolar ReRAM for improving

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MJ, Baek IG, Ha YH, Baik SJ, Kim JH, Seong DJ, Kim SJ, Kwon YH, Lim CR, Park HK, Gilmer D, Kirsch P, Jammy R, Shin YG, Choi S, Chung C: Low power operating bipolar TMO ReRAM for sub 10 nm era. Tech Dig Int Electron Devices Meet 2010, 19.3.1–19.3.4. 17. Katsumata R, Kito M, Fukuzumi Y, Kido M, Tanaka H, Komori Y, Ishiduki M, Matsunami J, Fujiwara T, Nagata Y: Pipe-shaped BiCS flash memory with 16 stacked layers and multi-level-cell operation for ultra high density storage devices. Tech Dig Symp VLSI Technol 2009, 136–137. 18. Kim W, Choi S, Sung J, Lee T, Park C, Ko H, Jung J, Yoo I, Park Y: Multi-layered vertical gate NAND flash overcoming stacking limit for terabit density storage. Tech Dig Symp VLSI Technol 2009, 188–199. 19.

Med Sci Sports Exerc 1990,22(2):250–6 PubMed 403 Stewart I, McNa

Med Sci find more Sports Exerc 1990,22(2):250–6.PubMed 403. Stewart I, McNaughton L, Davies

P, Tristram S: Phosphate loading and the effects of VO2max in trained cyclists. Res Quart 1990, 61:80–4. 404. Folland JP, Stern R, Brickley G: Sodium phosphate loading improves laboratory cycling time-trial performance in trained cyclists. J Sci Med Sport 2008,11(5):464–8.PubMedCrossRef 405. McNaughton L, Backx K, Palmer G, Strange N: Effects of chronic bicarbonate ingestion on the performance of high-intensity work. Eur J Appl Physiol Occup Physiol 1999,80(4):333–6.PubMedCrossRef 406. Applegate E: Effective nutritional ergogenic aids. Int J Sport Nutr 1999,9(2):229–39.PubMed 407. Kronfeld DS, Ferrante PL, Grandjean D: Optimal nutrition for athletic performance, with emphasis on fat adaptation in dogs and horses. J Nutr 1994,124(12 Suppl):2745S-53S.PubMed 408. Kraemer WJ, Gordon SE, Lynch JM, Pop ME, Clark learn more KL: Effects of multibuffer supplementation on acid-base balance and 2,3-diphosphoglycerate following repetitive anaerobic exercise. Int J Sport Nutr 1995,5(4):300–14.PubMed

409. Matson LG, Tran ZV: Effects of sodium bicarbonate ingestion on anaerobic performance: a meta-analytic review. Int J Sport Nutr 1993,3(1):2–28.PubMed 410. Lindh AM, Peyrebrune MC, Ingham SA, Bailey DM, Folland JP: Sodium bicarbonate improves swimming performance. Int J Sports Med 2008,29(6):519–23.PubMedCrossRef 411. Wiles JD, Coleman D, Tegerdine M, Swaine IL: The effects of caffeine ingestion on performance time, speed and power during VE-822 research buy a laboratory-based 1 km cycling time-trial. J Sports Sci 2006,24(11):1165–71.PubMedCrossRef 412. Ivy JL, Kammer L, Ding Z, Wang B, Bernard JR, Liao YH, Hwang J: Improved cycling time-trial performance after ingestion of a caffeine energy drink. Int J Sport Nutr Exerc Metab 2009,19(1):61–78.PubMed 413. McNaughton

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is a coefficient Because the total interparticle interaction for

is a coefficient. Because the total interparticle interaction forces cannot be optionally added in the lattice Boltzmann equation, we introduce an unknown coefficient in the total interparticle interaction forces. In order to enable the lattice Boltzmann equation including the total interparticle interaction forces to recover to the Navier-Stokes equation, based on the mass and momentum conservation, we used multi-scale technique to deduce the unknown coefficient which is equal to . Due to the very long derivation process, we directly gave the final result in the paper. The weight coefficient B α is given

as: (4) For the two-dimensional nine-velocity LB model (D2Q9) considered herein, the discrete velocity BVD-523 concentration set for each component α is: (5) The density equilibrium distribution function is chosen as follows: (6) (7) where is the lattice’s sound selleck chemicals velocity, and w α is the weight coefficient. The macroscopic temperature field is simulated using the temperature distribution

function. (8) where τ T is the dimensionless collision-relaxation time for the temperature field. The temperature equilibrium distribution function is chosen as follows: (9) In the case of no internal forces and external forces, the macroscopic temperature, density and velocity are Bafilomycin A1 respectively calculated as follows: (10) (11) (12) Considering the internal and external forces, the macroscopic velocities for nanoparticles and base fluid are modified to: (13) (14) where F p represents the total forces acting on the nanoparticles, F w represents the total forces acting on the base fluid, and L x L y represents the total number of lattices. When the internal forces and external forces are considered, energy between nanoparticles and base fluid is exchanged, and the macroscopic temperature for nanoparticles and base fluid is then given as: (15) where Φ αβ is the energy exchange between nanoparticles and base fluid, ,

and h αβ is the convective heat transfer coefficient of the nanofluid. The corresponding kinematic viscosity and thermal Phosphoprotein phosphatase diffusion coefficients are respectively defined as follows: (16) (17) The dimensionless collision-relaxation times τ f and τ T are respectively given as follows: (18) (19) where Ma = 0.1, H = 1, c = 1, δt = 1, and the other parameters equations are given as follows: (20) (21) From Equations 18 and 19, the collision-relaxation time for the flow field and the temperature field can be calculated. For water phase, the τ f collision-relaxation times are respectively 0.51433 and 0.501433 at Ra = 103 and Ra = 105, and the collision-relaxation time τ T is 0.5. For nanoparticle phase, the τ f collision-relaxation times are respectively 0.50096 and 0.500096 at Ra = 103 and Ra = 105, and the collision-relaxation time τ T is 0.500025. Interaction forces between base fluid and nanoparticles As noted before, a nanofluid is, in reality, a kind of two-phase fluid.

Appl Environ Microbiol 2003, 69:1270–1275 PubMedCrossRef 27 Dani

Appl Environ Microbiol 2003, 69:1270–1275.PubMedCrossRef 27. Danielsen M, Seifert J: The development of international ISO/IDF standard for susceptibility testing of lactic acid bacterial and bifidobacteria based on the contributions from PROSAFE and ACE-ART. Int J Prob Prob 2008, 3:247–248. 28. Flórez AB, Tosi L, Danielsen M, von Wright A, Bardowski J, Morelli L, Mayo B: Resitance-susceptibility profiles of Lactococcus lactic and Streptococcus thermophilus strains to eight antibiotics and proposition of new cut-offs.

Int J Prob 2008, 3:249–256. 29. Korhonen JM, Danielsen M, Mayo B, Egervärn M, Axelsson L, Huys G, von Wright A: Antimicrobial susceptibility and proposed microbiological cut-off values of Lactobacilli by phenotypic determination. Int J Prob 2008, 3:257–268. 30. Helegbe GK, Anyidoho LY, Gyang FN: Screening of the efficacy of some SB273005 ic50 commonly used antibiotics in Ghana. Res J Microbiol 2009, 4:214–221.CrossRef 31. Tagoe DNA, Attah CO: A Study of antibiotic use and abuse in Ghana: a case study

of the Cape Coast metropolis. IJH 2010, 11:2. Number 32. Kunin CM: The resistance to antimicrobial drugs: a worldwide calamity. Ann www.selleckchem.com/products/BKM-120.html Intern Med 1993, 118:557–561.PubMed 33. Newman MJ, Frimpong E, Asamoah-Adu A, Sampane-Donkor E: Resistance to antimicrbial drugs in Ghana. The Ghanaian-Dutch collaboration for health research and development: project number 2001/GD/07 2006. [Technical Report Series] 34. Ouoba LII, Lei V, Jensen LB: Resistance of potential probiotic lactic acid bacteria and bifidobacteria of African and European origin to antimicrobials: LEE011 mouse Determination and transferability of the resistance genes to other bacteria. Int J Food Microbiol 2008, 121:217–224.PubMedCrossRef 35. Opinion of the Scientific Committee on Animal Nutrition on the criteria for assessing the safety of microorganism resistant to antibiotics of

human clinical and veterinary importance. Adopted on 3 July 2001, revised on 18 April 2002. 36. Satokari RM, Vaughan EE, Akkermans-van Vliet WM, Saarela M, de Vos WM: Bifidobacterial diversity in human feces detected by genus-specific PCR and denaturing gradient gel electrophoresis. Appl Environ Microbiol 2001, 67:504–513.PubMedCrossRef 37. Altschul SF, Madden TL, Schaffer AA, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and Glutamate dehydrogenase PSI-BLAST: a new generation protein database search programs. Nucl Acids Res 1997, 25:3389–3402.PubMedCrossRef 38. Torriani S, Felis EG, Dellaglio F: Differentiation of Lactobacillus plantarum, L. pentosus, and L. paraplantarum by recA gene sequence analysis and multiple PCR assay with recA gene-derived primers. Appl Environ Microbiol 2001, 67:3450–3454.PubMedCrossRef 39. Fusco V, Quero GM, Stea G, Morea M, Visconti A: Novel PCR-based identification of Weissella confusa using an AFLP-derived marker. Int J Food Microbiol 2011, 145:437–443.PubMedCrossRef 40.

C x ′ and C y ′ are background photocurrents To fit the curves b

C x ′ and C y ′ are background photocurrents. To fit the curves by Equations 7 and 10, we obtained the parameters S 1 and S 1 ′. The relations of parameters S 1, S 1 ′ getting from the in-plane and BIBW2992 cost tilted magnetic field experimental configurations are shown in (11) Subscripts in and tilted signify parameters fitted from the in-plane and tilted

magnetic field experiments, respectively. As shown in Equation 11, the parameters of the two configurations are nearly the same. This demonstrates that the theoretical model used in the tilted magnetic field experiments is reasonable. Besides, S 1 and S 1 ′ are much larger than S 3 and S 3 ′. It demonstrates that the magneto-photocurrents are also linear polarization-insensitive for the tilted magnetic field case. Figure 6 shows the magneto-photocurrents excited by circularly polarized

light when the magnetic field is rotated AZD5363 chemical structure in the x-z plane. In this case, a circularly polarized 1,064-nm laser along -z was used. The laser power was about 58 mW. As shown by the coincidence of the data from two different circular polarizations in Figure 6a,b, the experiments show that the currents are unrelated to the circular polarization state of the radiation. Figure 6 The magneto-photocurrents in (a) [110] and (b) [1 0] crystallographic directions. (a) The blue solid line and red inverted triangles denote currents excited by left and right circularly polarized light, respectively. (b) http://www.selleck.co.jp/products/AP24534.html The black solid line and green dots denote currents excited by left and right circularly polarized light, respectively. GSK872 in vitro θ is the angle between the magnetic field direction and the sample

plane. In another hand, we presented the results of the magneto-photocurrents vs. the strength of magnetic field for comparison. A linearly polarized 1,064-nm laser, whose linearly polarized direction was along [110] crystallographic direction, was normally irradiated on the sample plane. The laser power was about 62 mW. The variable magnetic field generated by an electromagnetic device was in the x-z plane. The angle between the magnetic field and the sample plane was 12.5°. At a certain magnetic field, the magneto-photocurrents can be well described by Equations 9 and 10. However, these currents are superpositions of linear magnetic field and quadratic magnetic field-induced currents. To extract the pure quadratic magnetic field-dependent photocurrents, we eliminated the linear magnetic field-dependent currents by (12) The dependences of J q on the strength of magnetic field are shown in Figure 7. We can see that the experimental data points are mainly in accord with the parabolic-shape fitting curves. The currents J q presented clear quadratic magnetic field dependence. When the magnetic field was increased to 0.13 T, the current in [110] crystallographic direction increased by 17.35 pA; however, the current in [1 0] crystallographic direction only increased by 0.

The changes in these proportions were significant by Fisher’s exa

The changes in these proportions were significant by Fisher’s exact test (P = 0.033 for strain 11168; P = 0.004 for strain D0835; P = 0.031 for strain D2600). In previous experiments, the jejunum was colonized in 30–60% of mice infected for 28–35 days with unpassaged C. jejuni 11168 [40]. At the time of necropsy, levels of C. jejuni colonization in the cecum, the site where C. jejuni populations are highest and most consistent, were estimated on a semi-quantitative scale [40] and were similar buy Brigatinib for all

five colonizing strains in all passages (data not shown). In the first passage, all mice inoculated with all C. jejuni strains survived through the entire 30 days of find more the experiment. In the second passage, some mice inoculated with strains 11168, D0835, and D2600 required early euthanasia due to severe clinical disease (Figure 4). (For details of clinical scoring protocol, see Michigan State University

(MSU) Microbiology Research Unit Food and Waterborne Diseases Integrated Research Network-sponsored Animal Model Phenome Database website http://​www.​shigatox.​net/​cgi-bin/​mru/​mi004). In the third passage, some mice inoculated with these strains and with strain D2586 required early euthanasia. In addition, the time between inoculation and the development of severe clinical disease requiring euthanasia decreased steadily

over the second and third passages for strains 11168, D0835, and D2600. In all passages, all mice inoculated with strain NW survived for the full duration of the experiment (data not shown). Kaplan Meier log-rank survival analysis was conducted on the data for each strain from the four 4-Aminobutyrate aminotransferase passages, although the number of animals (25) in each data set was low. Results were significant for strain D2600 (P = 0.028) but not for strains 11168, D2586, or D0835 (P = 0.264, 0.270, and 0.201, respectively). No mice infected with strain NW required early euthanasia. Figure 4 Decrease in mouse survival in four passages during adaptation by serial Selleck URMC-099 passage (experiment 2). Panel A, C. jejuni 11168; panel B, C. jejuni D0835; panel C, C. jejuni D2600; panel D, C. jejuni D2586. No control mice or mice infected with strain NW required early euthanasia (data not shown). All mice in all passages experienced a dietary shift from an ~12% fat diet to an ~6% fat diet 3 to 5 days prior to inoculation with C. jejuni. Passages 1, 2, and 3 had five infected mice each for each strain; passage four had 10 infected mice. Passage 1 had four sham inoculated control mice; passages 2 and 3 had five control mice each; passage four had 10 control mice.

RNA expression analysis by northern blot in human normal tissues

RNA expression analysis by northern blot in human Capmatinib normal tissues LCMR1 expression was analyzed by multiple tissue northern blots (MTN) in a panel of following normal tissues (Clontech): brain, heart, skeletal muscle, colon, thymus, spleen, kidney, liver, small intestine, placenta, lung, and peripheral blood leukocytes. Hybridization was performed using 25 ng of a gene-specific 32P-labeled DNA probe derived from LCMR1 cDNA. This gene-specific cDNA fragment was radiolabelled using a Prime-A-Gene Labeling System (Promega), XMU-MP-1 supplier hybridized overnight at 68°C using ExpressHyb Hybridization

Solution (Clontech), washed, and exposed to Kodak XAR-5 X-ray film with an intensifying screen (Eastman Kodak Co, Rochester, NY, US). Expression and polyclonal antibodies preparation of LCMR1 protein The plasmid pGEX-5T-LCMR1 was constructed. The GST-LCMR1 protein expression was induced by adding 0.6 mM IPTG to the transformed E. coli and the bacteria were incubated at 20°C for 4 hours. The degree of expression was evaluated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). The GST-LCMR1 fusion protein was purified by affinity

chromatography using glutathione-agarose resin (GE Healthcare). The New Zealand white rabbits were given intradermal injections of purified GST-LCMR1 fusion protein and the antibody against LCMR1 was prepared. The titer of antiserum was determined by an indirect ELISA. Cases and Clinical Data We studied C646 mouse a consecutive series of 84 cases primary NSCLC cancers diagnosed and treated between 2005 and 2007 at the Department of thoracic surgery, Chinese PLA General Hospital, Beijing, China. None of the patients had received radiotherapy or neoadjuvant therapy before surgery. Metastatic lymph nodes of 51 cases in this group were also examined for the expression of LCMR1. The duration of 65 cases follow-up ranged from 5 to 39 months (median, 31 months).

Tumor characteristics, including histologic grade, lymph node status, and clinical stage, were routinely assessed by pathologists. Adenosine triphosphate Immunohistochemical analysis The sections were dewaxed with xylene and rehydrated through an ethanol gradient into water. After endogenous peroxidase activity was quenched with 3% H2O2 for 30 minutes, sections were digested with 0.1% trypsin at 37°C for 20 minutes. After phosphate-buffered saline (PBS) washing, nonspecific antibody binding was blocked by incubating the slides with 10% normal goat nonimmune serum for 30 minutes at 37°C. Sections were incubated at 4°C overnight with the self-made rabbit polyclonal primary antibody against human LCMR1 at a 1:200 dilution. After PBS washing, sections were incubated with biotinylated secondary antibody for 30 minutes at 37°C and then with horseradish peroxidase-labeled streptavidin for 30 minutes at 37°C. After PBS washing, sections were developed using 3,3V-diaminobenzidine (Sigma-Aldrich).

This GO term is defined as “”the assembly by an organism

This GO term is defined as “”the assembly by an organism

of a haustorium, a projection from a CP-868596 clinical trial cell or tissue that penetrates the host’s tissues for the purpose of obtaining nutrients from its host organism”" [10]. In order to achieve this, the haustorium itself biosynthesizes materials [24], modulates host metabolism such as carbon sinks [25], and contributes to the suppression of host defenses [26–28]. Additional GO terms related to haustoria include: “”GO: 0075192 haustorium mother cell formation on or near host”"; “”GO: 0075196 adhesion of symbiont haustorium mother cell to host”"; and “”GO: 0075197 formation of symbiont haustorium neck for entry into host”". Since haustoria are essential to many plant pathogens, plants have evolved active mechanisms to inhibit haustorium formation or to destroy haustorial cells via learn more programmed cell death (reviewed in [29, Fludarabine solubility dmso 30]). As a result, haustorium formation is accompanied by release of pathogen

effector molecules that suppress plant defenses including programmed cell death (reviewed in [27, 31] and in this supplement [32]). One organism in which haustorium development and function have been well studied is the bean rust fungus Uromyces fabae [23, 33]. During development of the haustorial body (reviewed in [22]), the host plasma membrane remains unbroken by the biotroph and undergoes extensive differentiation [34]. A complex mixture of metabolites, along with BCKDHA a modified symbiont cell wall, exists within the extrahaustorial matrix, the zone between the plant and fungal plasma cell membranes [35] where nutrient exchange occurs. Haustorial membranes exhibit increased H+-ATPase activity [36], which generates proton gradients that drive active transport of nutrients, including amino acids [37] and carbohydrates (reviewed in [33]). Oomycetes such as Phytophthora sojae and P. infestans generate haustoria from intercellular hyphae [38]. As in biotrophs, the haustoria exhibit

extensive modifications. For example, in the P. sojae-soybean interaction, the host membrane (the extrahaustorial membrane) exhibits different patterns of antibody labelling of arabinogalactan proteins than in nearby uninfected cells [39]. Arbuscules of mutualistic arbuscular mycorrhizal fungi In mutualistic symbioses such as the plant root-arbuscular mycorrhizal (AM) fungus association, nutrient exchange is bidirectional. In essence, the plant exchanges hexose sugars for inorganic phosphate from the fungal symbiont [40]. AM associations are very ancient and may have allowed plants to colonize land [41]. A variety of structures exist to facilitate nutrient exchange within the AM symbiosis, including arbuscules and hyphal coils that are formed within the cortical cells of the plant [42].

During infection, σE of S Typhimurium is required for survival a

During infection, σE of S. Typhimurium is required for survival and proliferation in epithelial and macrophage cell lines, and in the presence of antimicrobial peptides [6, 28, 29]. In Pseudomonas aeruginosa, the σE homologue, AlgU, controls LY2606368 ic50 the expression of the exopolysaccharide alginate and conversion to mucoidy. AlgU is constitutively activated in many clinical isolates from cystic fibrosis patients [30, 31]. In addition, σE is required for the viability of some bacterial species, but not others. The gene CYT387 concentration encoding σE is essential in E. coli and Yersinia enterocolitica,

but is dispensable in the closely related species S. Typhimurium [6, 32, 33]. These observations suggest that the functions of σE orthologs have been adapted to combat the challenges each organism faces in its particular environmental niche. By exploring the role of σE in diverse bacterial species, we can learn which aspects of this widespread regulatory pathway are universally conserved and which have diverged over the course

of evolution. Here we show that the B. bronchiseptica σE ortholog, encoded by the gene sigE (BB3752), is an active sigma factor that mediates a cell envelope stress response. This is the first demonstration of an envelope stress-sensing system in see more Bordetella species. Using a murine infection model, we demonstrate that SigE plays an important role during lethal infection in mice lacking adaptive immunity, but not in respiratory tract colonization. This finding has important implications for human disease, given the observation that B. bronchiseptica can cause serious systemic infections in immunocompromised humans [11, 14]. This study

suggests that SigE is a critical factor in this process, in addition to the BvgAS master virulence regulatory system. Results sigE encodes an active sigma factor The sigE gene of B. bronchiseptica shares pheromone a number of conserved residues with other members of the RpoE-like sigma factors, including those in the DNA-binding regions (Figure 1A) [24]. To determine if sigE encodes an active sigma factor, we asked whether it could direct transcription from the σE-dependent rpoHP3 promoter in E. coli. This promoter shares a high degree of similarity with a consensus promoter proposed for the RpoE-like sigma factors that was determined from both experimental data and predicted promoter sequences (Figure 1C) [24, 27]. The sigE gene from B. bronchiseptica strain RB50 was cloned into the pTrc99a expression plasmid and transformed into a derivative of E. coli MG1655 that carries an rpoHP3::lacZ reporter gene fusion integrated on the chromosome [34]. When sigE expression was induced, LacZ activity increased, indicating that SigE can initiate transcription from this promoter (Figure 1B). Furthermore, we found that the gene encoding σE, rpoE, which is essential for viability in E. coli, could be deleted when sigE was overexpressed (data not shown, see Materials and Methods). Figure 1 B. bronchiseptica SigE is a functional sigma factor.