) hosts. Mycologia 104:396–409PubMed

Silva DN, Talhinhas P, Cai L, Manuel L, Gichuru EK, Loureiro A, Várzea V, Paulo OS, Batista D (2012b) Host-jump drives rapid and recent ecological speciation of NSC23766 ic50 the emergent fungal pathogen Colletotrichum kahawae. Mol Ecol 21:2655–2670PubMed Sogonov MV, Castlebury LA, Rossman AY, Mejia LC, White JF (2008) Leaf-inhabiting genera of the Gnomoniaceae, Diaporthales. Stud Mycol 62:1–79PubMedCentralPubMed Stamatakis A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22:2688–2690PubMed Stamatakis A, Hoover P, Rougemont J (2008) A rapid bootstrap algorithm for the RAxML web servers. Syst Biol 57:758–771PubMed Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739PubMedCentralPubMed selleck chemicals llc Tan YP, Edwards J, Grice KRE, Shivas RG (2013) Molecular phylogenetic analysis reveals six new

Diaporthe species from Australia. Fungal Divers 61:251–260 Taylor JW, Jacobson DJ, Kroken S, Kasuga T, Geiser DM, Hibbett DS, Fisher MC (2000) Phylogenetic species recognition and species concepts in fungi. Fungal Genet Biol 31:21–32PubMed Taylor W, Turner E, Townsend JP, Dettman JR, Jacobson D (2006) Eukaryotic microbes, species recognition and the geographic

limits of species: examples from the kingdom Fungi. Philos Trans R Soc Lond B Biol Sci 361:1947–1963PubMedCentralPubMed Thomidis T, Michailides Ribonucleotide reductase TJ (2009) Studies on Diaporthe eres as a new pathogen of peach trees in Greece. Plant Dis 93:1293–1297 Toti L, Viret O, Horat G, Petrini O (1993) Detection of the endophyte Discula umbrinella in buds and twigs of Fagus sylvatica. Eur J Forest Pathol 23(3):147–152 Townsend JP (2007) Profiling phylogenetic informativeness. Syst Biol 56(2):222–231PubMed Udayanga D, Liu X, McKenzie EHC, Chukeatirote E, Bahkali AHA, Hyde KD (2011) The genus Phomopsis: biology, applications, species concepts and names of common phytopathogens. Fungal Divers 50:189–225 Udayanga D, Liu XZ, Crous PW, McKenzie EHC, Chukeatirote E, Hyde KD (2012a) A multi-locus phylogenetic evaluation of Diaporthe (Phomopsis). Fungal Divers 56:157–171 Udayanga D, Liu XX, Crous PW, McKenzie EHC, Chukeatirote E, Hyde KD (2012b) Multilocus phylogeny of Diaporthe reveals three new cryptic species from Thailand. Cryptogamie Mycol 33:295–309 Udayanga D, Castlebury LA, Rossman A, Hyde KD (2014) Species limits in Diaporthe: a molecular reassessment of D. citri, D. cytosporella, D. foeniculina and D. rudis. Persoonia 32:83–101 Vajna L (2002) The role of Diaporthe eres in the early death of young fruit trees.

2008). Several studies correlated improved plant tolerance to abiotic stresses upon pathogenic or mutualistic microbial infections with an observed increase in antioxidant or osmolyte concentrations and/or in antioxidant enzymes activities (Rouhier and Jacquot 2008). This may explain the development of systemic acquired resistance in plants following pathogenic infections where healthy plant parts gain more resistance to a subsequent infection by either the same or another microbe (Singh et al. 2011). The root colonizing endophytic fungus Piriformospora indica was discovered in association with woody shrubs in the Indian Thar find more desert and was found to improve plant fitness of a variety

of host plants by growth enhancement under normal and stress conditions (Verma et al. 1998; Schäfer et al. 2007). The fungus was reported to activate nitrate reductase

find protocol and glucan-water dikinase enzymes resulting in increased nitrate acquisition and/or starch degradation in Arabidopsis and tobacco roots (Sherameti et al. 2005). Further studies indicated involvement of cytokinins in P. indica induced growth promotion of Arabidopsis plants, while auxins had little or no effect (Vadassery et al. 2008). In addition to growth promotion, P. indica, originally isolated from desert plants, was found to induce drought stress tolerance of Arabidopsis and Chinese cabbage (Brassica rapa) by stimulation the expression of stress-related genes in leaves (Oelmüller et al. 2009; Sun et al. 2010). In Chinese cabbage colonized by P. indica the activities of peroxidases, catalases and superoxide dismutases in the leaves were increased within 24 h in response to drought Parvulin stress. The fungus also increased the amount of chloroplast-localized Ca2+ sensing receptor protein, which regulates stomatal function in response to elevations of external Ca2+ by modulating

cytoplasmic Ca2+ concentration (Weinl et al. 2008; Sun et al. 2010). Furthermore, the drought induced decrease in photosynthetic efficiency and the degradation of chlorophylls and thylakoid proteins were delayed (Sun et al. 2010). P. indica also induced salt tolerance to a salt-sensitive barley cultivar (Hordeum vulgare) by increasing the rate of metabolic activity to compensate salt-induced inhibition of leaf metabolism (Criddle et al. 1989; Baltruschat et al. 2008), by induction of antioxidant enzymes (Baltruschat et al. 2008), and by enhancing the ratio of reduced to oxidized ascorbate (Waller et al. 2005). The latter neutralizes oxygen free radicals and acts as a primary substrate in the ascorbate-glutathione cycle to detoxify hydrogen peroxide (Foyer and Noctor 2000). It may also act by accelerating root elongation and increasing root biomass (Córdoba-Pedregosa et al. 2005). Furthermore, P. indica enhanced the biosynthesis of polyamines and lowered that of ethylene by increasing methionine synthase levels (Peškan-Berghöfer et al.

The excited state dynamics, therefore, is governed by population relaxation. Similarly, in the simulations

of Renger and May, the frequency-dependent coupling of learn more the electronic states in the systems to the surroundings is needed. In order to describe this, the phonon-side band in a fluorescence spectrum is fitted. Using this analytical description for the spectral density, the time-resolved spectra can be fitted. As was shown before, the exciton relaxation occurs mainly between adjacent levels. The number of states lower in energy determine the relaxation rate of an exciton level. However, important additional factors are also the energy difference between the two levels and the overlap between the excitation probability densities on a single pigment j (i.e., |C α(j)|2|C β(j)|2). The authors noted that the spectra of Chlorobium tepidum fitted remarkably better than those of Prosthecochloris aestuarii, in particular an experimental decay time of 1.7 ps was not reproduced. This could be partially overcome

by adjusting the site energies of especially BChl a 1 and BChl a 4. The energetic order, of these pigments which are the main contributors to the second lowest exciton states (E2), seems of importance for the dynamics in the system. This was further tested by introducing inhomogeneous broadening in the system by a Monte Carlo simulation eFT-508 of the spectra and the dynamics. In addition to the decay time constants, distributions of time constants centered around the originally simulated values were found. At the exciton level E2, this distribution showed a clear distinction between two time domains; one of several

hundreds of femtoseconds and another of several picoseconds, the latter is in the same order as the experimentally observed time scale. The spectra resulting from the Monte Carlo simulations are very similar to the dressed stick spectra calculated earlier (Vulto et al. 1998a). Vulto et al. showed that the method of Renger et al. does not reproduce the T − S and LD spectra at all, and concluded that their description of the electronic structure of the FMO complex was not completely correct. However, the ingenious way of describing the spectral broadening of the transitions by Renger et al. could be used to improve future simulations. The decay time for energy transfer from the lowest exciton Arachidonate 15-lipoxygenase state to the ground state varies widely between different techniques and research groups. Table 14 gives a clear indication that there are two timescales concerned with the lowest exciton lifetime; one of about 100 ps and a longer one of several ns. A more elaborate description of this lifetime for Chlorobium tepidum is found in the electronic supplementary material. The discussion therein indicates that the lifetime of the lowest exciton state is influenced by the preparation method of the samples and in particular by the addition of oxidizing or reducing agents.

After that, these samples were cooled down to room temperature at the presence of NH3 + H2. Besides, two controlled experiments were also conducted. One was the growth of 800-nm-thick GaN on 800-nm-thick AlN/sapphire without decomposition in H2 (sample D), and another one is an 800-nm-thick Selinexor AlN buffer template on sapphire without decomposition in H2 (sample E). The surface morphologies of all samples were characterized by atomic force microscopy (AFM) measurements.

The surface chemistries of obtained GaN QDs and some control samples were investigated using X-ray photoelectron spectroscopy (XPS) measurements with monochromatic Mg Kα X-ray source (hν = 1,253.6 eV). Figure 1 The schematic of H 2 -annealed conditions of samples A, B, and C. Results and discussion The surface morphologies of all samples were studied by atomic force microscopy (AFM), and the results are shown in Figure 2. Compared with the surface morphology of controlled

sample D (Figure 2d), it is obvious that GaN decomposition occurs for Sample A (Figure 1a). Figure 1f is the corresponding three-dimensional (3D) AFM image of Figure 1a, in which distributed dots are on terraces and Dactolisib in vitro abrupt peaks are to be buried in the side wall, indicating the decomposition process for the formation of GaN dots. As the decomposition occurred toward the inner of the side wall, the abrupt peaks are then exposed to H2 flow and decomposed. Since the heights of peaks decrease faster than the diameters of peaks, the side wall is etched away and the peaks are etched to small dots with a longer etching time, which is consistent with our previous observation [14]. With increasing of the annealing Anidulafungin (LY303366) temperature from 1,050°C to 1,100°C, the decomposition of GaN has an interesting phenomenon that the steps disappear and well-shaped dots are just left on a flat surface, as shown in Figure 2b. The obtained GaN QDs show a low density in

the magnitude of approximately 108 cm-2. As expected, these dots are etched as the elongation of annealing time from 5 to 8 min, left with atomically flat surface (Figure 2c) similar to that of controlled sample E (Figure 2e). It is clear that surface morphology of the AlN buffer templates before and after annealing in H2 are exactly the same, indicating that no decomposion of AlN takes place at the temperature of 1,100°C. This result is in good agreement with the claim made by Y. Kumagai et al. [21]. Figure 2 AFM images of samples. Samples (a) A, (b) B, (c) C, (d) D, (e) E, and (f) corresponding the 3D AFM image of sample A. To further investigate the size distribution of the obtained GaN QDs, the AFM images of sample B with scan area 10 × 10 μm2 is shown in Figure 3a. The QDs have a low density of approximately 2.4 × 108 cm-2 and no obvious big dots are observed, showing the good uniformity.

The experiments were repeated

at least 3 times. Discussion The induction of various macrophage functional responses such as the oxidative burst, MHC class II protein expression, interleukin 1-β production, tumoricidal activity, and phagocytosis are thought to be regulated at least in part via PKC dependent signaling [10]. PKC regulates IgG mediated phagocytosis by human macrophages and is reported to translocate to the membrane before significant ingestion takes place. PKC inhibitors decreased phagocytosis in a dose dependent manner. Phagosomal localization of PKC also increases during phagocytosis [12]. PKC-α this website promote Fc-γ receptor mediated phagocytosis and signal transduction and inhibition of PKC-α results in inhibition of phagocytosis [20]. During phagocytosis, MARCKS, PKC-α and Myosin 1 are recruited along with F-actin and talin in the cortical cytoplasm adjacent to forming phagocytic cups. After completion of particle ingestion, myosin I, F-actin, and talin dissociate from phagosomes. Selleck mTOR inhibitor By contrast, MARCKS and PKC-α remain

associated with the phagosome membrane until after acquisition of the lysosomal marker LAMP-1. Phagocytosis results in rapid and sustained phosphorylation of MARCKS, suggesting PKC-α dependent phosphorylation is an early signal required for zymosan phagocytosis and that MARCKS and PKC-α have roles in phagosome maturation [16]. PKC-α has also been shown to promote phagosomal maturation by regulating the association of LAMP-1 and flottilin-1 on phagosomal membrane and inhibition of PKC-α results in the impairment of phagosomal maturation [15]. When tubercular and non-tubercular bacilli interact with macrophages, PKC isoforms are regulated in different manner. We were first to report that Rv and MS activate and phosphorylate novel PKC isoforms. PKC-α (a conventional isoform) was downregulated

by Rv but not by MS [18]. It was reported that macrophages derived from BCG resistant and BCG sensitive mice differ in their PKC activity and that macrophages from BCG resistant mice show increased PKC activity as compared to macrophages from BCG sensitive mice Telomerase [21]. In present study our main objective has been to decipher the role of PKC-α in mycobacterial survival/killing. Knockdown of PKC-α resulted in the decreased phagocytosis of BCG and MS by macrophages while their intracellular survival was increased (Fig. 2B, 2C, 3A, 3B). Inhibition of PKC-δ did not affect phagocytosis or survival of MS (Fig. 3A and 3C). These data show important role of PKC-α in phagocytosis as well as in killing of mycobacteria and suggest that downregulation of PKC-α during infection is a strategy utilized by pathogenic mycobacteria which help them to avoid the lysosomal machinery and survive inside host cells. This idea is further supported by the observation that BCG, Ra, and Rv (bacilli can multiply within macrophages) can downregulate PKC-α while MS does not (Fig. 1A and 1B).

PLoS One 2010,5(7):e11556.PubMedCrossRef 24. Twine S, Byström M, Chen W, Forsman M, Golovliov I, Johansson A, Kelly J, Lindgren H, Svensson K, Zingmark C, et al.: A mutant of Francisella tularensis strain SCHU S4 lacking the ability to express a 58-kilodalton protein is attenuated for virulence and is an effective live vaccine. Infect Immun 2005,73(12):8345–8352.PubMedCrossRef 25. Peng K, Broz P, Jones J, Joubert LM, Monack D: Elevated AIM2-mediated pyroptosis triggered by hypercytotoxic Francisella mutant strains is attributed to increased intracellular

bacteriolysis. Cell Microbiol 2011,13(10):1586–1600.PubMedCrossRef 26. Dai S, Mohapatra NP, Schlesinger LS, Gunn JS: Regulation ABT-737 manufacturer of Francisella tularensis virulence. Front Microbiol 2010, 1:144.PubMed 27. Chong A, Celli J: The Francisella intracellular life cycle: toward molecular mechanisms of intracellular survival and proliferation. Front Microbiol 2010,1(138):138.PubMed 28. Lindgren H, Stenmark S, Chen W, Tarnvik A, Sjöstedt A: Distinct roles of reactive nitrogen and oxygen species to control infection with the facultative intracellular 4EGI-1 purchase bacterium Francisella tularensis. Infect Immun 2004,72(12):7172–7182.PubMedCrossRef 29. Fortier AH, Polsinelli

T, Green SJ, Nacy CA: Activation of macrophages for destruction of Francisella tularensis: identification of cytokines, effector cells, and effector molecules. Infect Immun 1992,60(3):817–825.PubMed 30. Chen W, Shen H, Webb A, KuoLee R, Conlan JW: Tularemia in BALB/c and C57BL/6 mice vaccinated with Francisella tularensis LVS and challenged intradermally, or by aerosol with virulent isolates of the pathogen: protection Glycogen branching enzyme varies depending on pathogen virulence, route of exposure, and host genetic background. Vaccine 2003,21(25–26):3690–3700.PubMedCrossRef 31. Cole LE, Elkins KL, Michalek SM, Qureshi N, Eaton LJ, Rallabhandi P, Cuesta N, Vogel SN: Immunologic consequences of Francisella tularensis live vaccine strain infection: role

of the innate immune response in infection and immunity. J Immunol 2006,176(11):6888–6899.PubMed 32. Pechous R, Celli J, Penoske R, Hayes SF, Frank DW, Zahrt TC: Construction and characterization of an attenuated purine auxotroph in a Francisella tularensis live vaccine strain. Infect Immun 2006,74(8):4452–4461.PubMedCrossRef 33. Forslund AL, Kuoppa K, Svensson K, Salomonsson E, Johansson A, Byström M, Oyston PC, Michell SL, Titball RW, Noppa L, et al.: Direct repeat-mediated deletion of a type IV pilin gene results in major virulence attenuation of Francisella tularensis. Mol Microbiol 2006,59(6):1818–1830.PubMedCrossRef 34. Lai XH, Golovliov I, Sjöstedt A: Francisella tularensis induces cytopathogenicity and apoptosis in murine macrophages via a mechanism that requires intracellular bacterial multiplication. Infect Immun 2001,69(7):4691–4694.PubMedCrossRef 35.

Appl Phys A 2010, 100:1061–1067.CrossRef 5. Kowsari E: Sonochemically assisted synthesis and application of hollow spheres, hollow prism, Saracatinib mw and coralline-like ZnO nanophotocatalyst. J Nanoparticle Res 2011, 13:3363–3376.CrossRef 6. Xu LL, Li ZM, Cai QH, Wang HX, Gao H, Lu Q, Liu J: Precursor template synthesis of three-dimensional mesoporous ZnO hierarchical

structures and their photocatalytic properties. CrystEngComm 2010, 12:2166–2172.CrossRef 7. Zhou XF, Hu ZL, Fan YQ, Chen S, Ding WP, Xu NP: Microspheric organization of multilayered ZnO nanosheets with hierarchically porous structures. J Phys Chem C 2008, 112:11722–11728.CrossRef 8. Liao DL, Badour CA, Liao BQ: Preparation of nanosized TiO 2 /ZnO composite catalyst and its photocatalytic

activity for degradation of methyl orange. J Photochem Photobio A: Chem 2008, 194:11–19.CrossRef 9. Lam SM, Sin JC, Abdullah AZ, Mohamed AR: Efficient photodegradation ABT263 of endocrine-disrupting chemicals with Bi 2 O 3 –ZnO nanorods under a compact fluorescent lamp. Water Air Soil Pollut 2013, 224:1565.CrossRef 10. Wu D, Jiang Y, Yuan Y, Wu J, Jiang K: ZnO–ZnS heterostructures with enhanced optical and photocatalytic properties. J Nanoparticle Res 2011, 13:2875–2886.CrossRef 11. Wang ZY, Huang BB, Dai Y, Qin XY, Zhang XY, Wang P, Liu HX, Yu JX: Highly photocatalytic ZnO/In 2 O 3 heteronanostructures synthesized by a coprecipitation method. J Phys Chem C 2009, 113:4612–4617.CrossRef 12. Sapkota BB, Mishra SR: A simple ball milling method for the preparation of p-CuO/n-ZnO nanocomposite photocatalysts with high photocatalytic activity. J Nanosci

Nanotechnol 2013, 13:6588–6596.CrossRef 13. Chen SF, Zhao W, Liu W, Zhang SJ: Preparation, characterization and activity evaluation of p–n junction photocatalyst p-NiO/n-ZnO. J Sol-Gel Sci Technol 2009, 50:387–396.CrossRef 14. Zhou WJ, Liu H, Wang J, Liu D, Du G, Cui J: Ag 2 O/TiO 2 GBA3 nanobelts heterostructure with enhanced ultraviolet and visible photocatalytic activity. ACS Appl Mater Interfaces 2010, 2:2385–2392.CrossRef 15. Zhou WJ, Liu H, Wang J, Liu D, Du G, Han S, Lin J, Wang R: Interface dominated high photocatalytic properties of electrostatic self-assembled Ag 2 O/TiO 2 heterostructure. Phys Chem Chem Phys 2010, 12:15119–15123.CrossRef 16. You Y, Wan L, Zhang S, Xu D: Effect of different doping methods on microstructure and photo-catalytic activity of Ag 2 O–TiO 2 nanofibers. Mater Res Bull 2010, 45:1850–1854.CrossRef 17. Zhu L, Wei B, Xu LL, Lu Z, Zhang HL, Gao H, Che JX: Ag 2 O-Bi 2 O 3 composites: synthesis, characterization and high efficient photocatalytic activities. CrystEngComm 2012, 14:5705–5709.CrossRef 18.

In block 2, conflicts at work was significantly associated with job satisfaction in all the age groups, but in the final model this was the case in only the youngest age group. Their inexperience and the fact that relatively many of them are PhD student may result in more dependency. This may contribute to the stronger correlation between conflicts at work and job satisfaction in the youngest age group than the other age groups. Factors of major importance to job satisfaction in the final models were

the extent to which personal skills could be used at work (‘skill discretion’) and the relations with colleagues. Skill discretion was often found to be one of the factors most associated with job satisfaction

in other studies among highly skilled professionals as well, i.e. BIBW2992 in university faculty (Iiacqua 1995), in health care employees (Van der Doef and Maes 2000; ACY-1215 in vitro Pomaki et al. 2004; Akerboom and Maes 2006) and in general practitioners (McGlone and Chenoweth 2001; Akerboom and Maes 2006), but not always (Smerek and Peterson 2007). It is remarkable that especially in the oldest employees support from supervisor is correlated with job satisfaction. Older and more experienced workers may be deprived of support from their supervisor since they are expected to work independently, while support from supervisor is important for job satisfaction (Robson Mannose-binding protein-associated serine protease et al. 2005; Callister 2006), apparently irrespective of age. It is therefore alarming that disappointing mean scores were found for support from supervisor in all age groups (see Table 2). The correlation between job satisfaction and opportunities for further education may partly be explained by the perception of the provision of further training by older workers. In a study in New Zealand on skilled workers, older workers perceived the supply of extra training as a signal

from the employer that they are still being taken seriously and as valuable employees (Gray and McGregory 2003). The final regression models show a rather good fit with 53–65% of the variance explained. As expected most variance in job satisfaction was explained by job resources (on average 35% unique variance). This finding is consistent with former research using the JD-R model to explain well being (Demerouti et al. 2001; Van Ruysseveldt 2006). Well-being factors such as job satisfaction are most strongly associated with the availability of positive work characteristics. Job resources included into the model seem to reduce the disadvantageous effects of job demands such as workload and conflicts at work. Moreover, in the oldest age group, the adverse consequence of chronic disease for job satisfaction has been reduced completely. Methodological considerations In this study, all the respondents were employees at a university, a work setting with specific characteristics.

Data analysis Values were reported as mean ± SEM. Statistical analysis was conducted using JMP software (SAS Institute). Student’s t-test was used for comparisons between groups and differences were considered to be statistically significant with P value less than 0.05. Acknowledgements We thank Dr. Chao-Ying Chen (National Taiwan University) for providing

plasmid pST1, Dr. Hua-Lin Wu for providing HUVECs, Dr. Jiunn-Jong selleck compound Wu for providing anti-OmpA antibody, Dr. Ming-Jer Tang for discussion, and Dr. Jon Courtenay for critical reading of the manuscript. This work was supported by grants from National Science Council of Taiwan (98-2627-M-006-015). References 1. Stevens DL: Invasive group A streptococcus infections. Clin Infect Dis 1992,14(1):2–11.PubMedCrossRef

2. Norrby-Teglund A, Kotb M: Host-microbe interactions learn more in the pathogenesis of invasive group A streptococcal infections. J Med Microbiol 2000,49(10):849–852.PubMed 3. Hasty DL, Ofek I, Courtney HS, Doyle RJ: Multiple adhesins of streptococci. Infect Immun 1992,60(6):2147–2152.PubMed 4. Fischetti VA: Surface proteins on gram-positive bacteria. In Gram-positive pathogens. Edited by: Fischetti VA, Novick RP, Ferretti JJ Portnoy DA, Rood JI. Washington, D.C.: American Society for Microbiology Press; 2000:11–24. 5. Rasmussen M, Eden A, Bjorck L: SclA, a novel collagen-like surface protein of Streptococcus pyogenes. Infect Immun 2000,68(11):6370–6377.PubMedCrossRef 6. Lukomski S, Nakashima K, Abdi I, Cipriano VJ, Ireland RM, Reid SD, Adams GG, Musser JM: Identification and characterization of the scl gene encoding a group A Streptococcus extracellular

protein virulence factor with similarity to human collagen. Infect Immun 2000,68(12):6542–6553.PubMedCrossRef 7. Lukomski S, Nakashima K, Abdi I, Cipriano Carnitine dehydrogenase VJ, Shelvin BJ, Graviss EA, Musser JM: Identification and characterization of a second extracellular collagen-like protein made by group A Streptococcus: control of production at the level of translation. Infect Immun 2001,69(3):1729–1738.PubMedCrossRef 8. Xu Y, Keene DR, Bujnicki JM, Hook M, Lukomski S: Streptococcal Scl1 and Scl2 proteins form collagen-like triple helices. J Biol Chem 2002,277(30):27312–27318.PubMedCrossRef 9. Humtsoe JO, Kim JK, Xu Y, Keene DR, Hook M, Lukomski S, Wary KK: A streptococcal collagen-like protein interacts with the alpha2beta1 integrin and induces intracellular signaling. J Biol Chem 2005,280(14):13848–13857.PubMedCrossRef 10. Whatmore AM: Streptococcus pyogenes sclB encodes a putative hypervariable surface protein with a collagen-like repetitive structure. Microbiology 2001,147(Pt 2):419–429.PubMed 11. Camper L, Hellman U, Lundgren-Akerlund E: Isolation, cloning, and sequence analysis of the integrin subunit alpha10, a beta1-associated collagen binding integrin expressed on chondrocytes. J Biol Chem 1998,273(32):20383–20389.PubMedCrossRef 12.

J Strength Cond Res 2006,20(3):654–657.PubMed 25. Borkowski L, Faff J, Starczewska-Czapowska J: Evaluation of the aerobic and anaerobic fitness in AR-13324 judoists from the Polish national team. Biol Sport 2001, 18:107–111. 26. Jackson AS, Pollock ML: Generalized equations for predicting body

density of men. Br J Nutr 1978, 40:497–504.PubMedCrossRef 27. Radovanovic D, Bratić M, Milovanović D: Effects of creatine monohydrate supplementation and training on anaerobic capacity and body composition in judo athletes. Acta Fac Med Naiss 2008,25(3):115–120. 28. Franchini E, Del Vecchio FB, Matsushigue KA, Artioli GG: Physiological profiles of elite judo athletes. Sports Med 2011,41(2):147–66.PubMedCrossRef 29. Proteau S, Pelle A, Collomp K, Benhamou L, Courteix D: Bone density in elite judoists and effects of weight cycling on bone metabolic balance. Med & Sci in Sports & Exercise 2006,38(4):694–700.CrossRef

30. Artioli GG, Iglesias RT, Franchini E, Gualano B, Kashiwagura DB, Solis MY, Benatti FB, Fuchs M, Lancha AH: Rapid weight loss JIB04 followed by recovery time does not affect judo-related performance. J of Sports Sci 2010,28(1):28–32. 31. Artioli GG, Franchini E, Nicastro H, Sterkowicz S, Solis MY, Lancha AH: The need of a weight management control program in judo: a proposal based on the successful case of wrestling. J Int Society of Sports Nutr 2010, 7:15–19.CrossRef 32. Artioli GG, Iglesias RT, Franchini E, Gualano B, Kashiwagura DB, Solis MJ, Benatti FB, Fuchs M, Lancha AH: Rapid weight loss followed by recovery time does not affect judo-related performance. J of Sports Sci 2010,28(1):21–32.CrossRef 33. Franchini E,

Takito MY, Nakamura FY, Matsushigue KA, Kiss MAPDM: Effects of recovery type after a judo combat on blood lactate removal and on performance in an intermittent anaerobic task. J Sport Med Phys Fit 2003,43(4):424–431. 34. Hickner PIK3C2G RC, Dyck DJ, Sklar J, Byrd P: Effect of 28 days of creatine ingestion on muscle metabolism and performance of a simulated cycling road race. J Int Soc Sports Nut 2010, 7:26.CrossRef 35. Radovanovic D, Bratic M, Nurkic M, Cvetkovic T, Ignjatovic A, Aleksandrovic M: Oxidative stress biomarker response to concurrent strength and endurance training. Gen Physiol Biophys 2009,28(Special Issue):205–211.PubMed 36. Szijan BB, Niewzorow WM: Teoria i praktika rosijskogo dziudo: kakowy perspiektiwy integracji? Teorija i Praktika Fiziczieskoj Kul’tury 2005, 5:1–12. 37. Franchini E, Sterkowicz S, Gabryś T, Szmatlan-Gabryś U, Garnys M: Energy system contribution to the special judo fitness test. Int J Sports Physiol and Perf 2011,6(3):334–343. Competing interests The authors declare that they have no competing interests. Authors’ contributions SS was the principle investigator of the study. AKT, KSP, AT, AK aided with data collection and analysis.