Animals usually use photoperiod as an important environmental cue to time the year. In terms of the winter immunocompetence enhancement hypothesis, animals in the non-tropical zone would actively enhance their immune function to decrease the negative influence of stressors such as low temperature and food shortage in winter. In the
Animals usually use photoperiod as an important environmental cue to time the year. In terms of the winter immunocompetence enhancement hypothesis, animals in the non-tropical zone would actively enhance their immune function to decrease the negative influence of stressors such as low temperature and food shortage in winter. In the present study, we mimicked the transition from summer to winter by decreasing photoperiod gradually and examined the variations of immune repsonses in Siberian hamsters (Phodopus sungorus) to test this hypothesis. Twenty two female adult hamsters were randomly divided into the control (12h light: 12h dark, Control, n=11) and the gradually decreasing photoperiod group (Experiment, n=11). In the experiment group, day length was decreased from 12 h: 12 h light-dark cycle to 8 h: 16 h light-dark cycle at the pace of half an hour per week. We found that gradually decreasing photoperiod had no effect on body composition (wet carcass mass, subcutaneous, retroperitoneal, mesenteric and total body fat mass) and the masses of the organs detected such as brain, heart, liver and so on in hamsters. Similarly, immunological parameters including immune organs (thymus and spleen), white blood cells and serum bacteria killing capacity indicative of innate immunity were also not influenced by gradually decreasing photoperiod, which did not support the winter immunocompetence enhancement hypothesis. However, gradually decreasing photoperiod increased phytohaemagglutinin response post-24h of PHA challenge, which supported this hypothesis. There was no correlation between cellular, innate immunity and body fat mass, suggesting that body fat was not the reasons of the changes of cellular immunity. In summary, distinct components of immune system respond to gradually decreasing photoperiod differently in Siberian hamsters. Full article
Nelson, R.J. 2004. Seasonal immune function and sickness responses. Trends Immunol. 25, 187-192.
Dobrowolska, A., Adamczewska-Andrzejewska, K.A., 1991. Seasonal and long term changes in serum gamma globulin levels in comparing the physiology and population density of the common vole, Microtus arvalis Pall.1779. J. Interdis. Cycle Res, 22, 1-19.
Moshkin, M.P., Dobrotvorsky, A.K., Mak, V.V., Panov, V.V., Dobrotvorskaya, E.A., 1998. Variability of immune response to heterologous erythrocytes during population cycles of red (Clethrionom ys rutilus) and bank (C. glareolus) voles. Oikos 82, 131-138.
Sinclair, J.A., Lochmiller, R.L., 2000. The winter immunoenhancement hypothesis: associations among immunity, density, and survival in Prairie vole (Microtus ochrogaster) populations. Can. J. Zool. 78, 254-264.
Zhang, Z.Q., Wang, D.H., 2006. Seasonal changes in immune function, body fat mass and organ mass in Mongolian gerbils (Meriones unguiculatus). Acta, Theriol. Sin.26,338-345. (In Chinese with English summary).
Newson, J., 1962. Seasonal differences in reticulocyte count, hemoglobin levels and spleen weight in wild voles. Bri. J. Haemat.8, 296-302.
Lochmiller RL, VesteyM R, McMurry ST. 1994. Temporal variation in humoral and cell-mediated immune response in a Sigmodon hispidus population. Ecology 75: 236-245.
Mann DR, Akinbami MA, Gould KG, Ansari AA. 2000. Seasonal variations in cytokine expression and cell-mediated immunity in male rhesus monkeys. Cell Immunol 200: 105-115.
Brainard, G.C., Knobler, R.I., Podolin, P.L., Lavasa, M., Lubin, F.D., 1987. Neuroimmunology: modulation of the hamster immune system by photoperiod. Life Sci.40, 1319-1326.
Drazen, D.L., Jasnow, A.M., Nelson, R.J., Demas, G.E.. 2002. Exposure to short days, but not short-term melatonin, enhances humoral immunity of male Syrian hamsters (Mesocricetus auratus) J. Pineal Res. 33, 118-124.
Bilbo, S.D., Dhabhar, F.S., Viswanathan, K., Saul, A., Yellon, S.M., Nelson,R.J., 2002. Short day lengths augment stress-induced leukocyte trafficking and stress-induced enhancement of skin immune function. Proc. Natl. Acad. Sci. 99, 4067- 4072.
Yellon, S.M., Fagoaga, O.R., Nehlsen-Cannarella, S.L., 1999. Influence of photoperiod on immune cell functions in the male Siberian hamster. Am. J. Physiol. 276, R97-R102.
Drazen, D.L., Kriegsfeld, L.J., Schneider, J.E., Nelson, R.J., 2000. Leptin, but not immune function, is linked to reproductive responsiveness to photoperiod. Am. J. Physiol. Regul. Integr. Comp. Physiol. 278, R1401-R1407.
Tieleman BI, Williams JB, Ricklefs RE, Klasing KC, (2005). Constitutive innate immunity is a component of the pace-of-life syndrome in tropical birds. Proc.Roy. Soc.B 272, 1715-1720.
Demas GE, Zysling DA, Beechler BR, Muehlenbein MP, French SS. (2011). Beyond phytohaemagglutinin: assessing vertebrate immune function across ecological contexts. JAnim. Ecol.80, 710-730.
Xu DL, Hu XK. 2017. Photoperiod and temperature differently affect immune function in striped hamsters (Cricetulus barabensis). Comp. Physiol. Part A 204: 211-218.
Bellocq, J.G., Krasnov, B.R., Khokhlova, I.S., Pinshow, B., 2006. Temporal dynamics of a T-cell mediated immune response in desert rodents. Comp. Biochem. Physiol. A 145, 554-559.
Calder, P.C., Kew, S., 2002. The immune system: a target for functional foods? Bri. J. Nutr. 88, S165-S176.
Savino, W., Dardenne, M., 2000. Neuroendocrine control of thymus physiology. Endocr. Rev. 21, 412-443.
Smith KG, Hunt JL (2004). On the use of spleen mass as a measure of avian immune system strength. Oecologia 138, 28-31.
Ahima R.S., J.S. Flier., 2000. Adipose tissue as an endocrine organ. Trends Endocrinol. Metab.11, 327-332.
Fantuzzi, G., 2005. Adipose tissue, adipokines, and inflammation. J. Allergy Clin. Immunol.115, 911-919.
Sch?ffler A, Sch?lmerich J, Salzberger B (2007). Adipose tissue as an immunological organ: Toll-like receptors, C1q/TNFs and CTRPs. TrendsImmunol.28, 393-99.
Dong WH, Hou XX, Zhang PL, Zhou YL, Yang YP, Xue XP (1990). A study on population quantity compostion and reproduction of striped hairy-footed hamster. Acta Theriol. Sin. 1990, 10(3):221-226. (In Chinese with English abstract)
Dong WH, Hou XX, Zhou YL, Zhang YX, Lang BJ, Xue XP. (1998). Studies on population dynamics and prediction of Phodopus sungorus. Acta Agrest Sinica.. 6(3):207-211. (In Chinese with English abstract)
Demas GE. (2002) Splenic denervation blocks leptin induced enhancement of humoral immunity in Siberian hamsters (Phodopus sungorus). Neuroendocrinology76, 178-184.
Xu DL, Hu XK, Tian YF (2017). Effect of temperature and food restriction on immune function in striped hamsters (Cricetulus barabensis). JExp. Biol.doi:10.1242/jeb.153601.
Gatien ML, Hotchkiss AK, Dhabhar FS, Nelson RJ. 2005. Skeleton photoperiods alter delayed-type hypersensitivity responses and reproductive function of siberian hamsters (Phodopus sungorus). J Neuroendocri.17: 733?739.
Demas G.E., Nelson R.J. 2003. Lack of immunological responsiveness to photoperiod in a tropical rodent, Peromyscus aztecus hylocetes. J Comp. Physiol. B 173: 171?176.
Yellon, S.M., 2007. Melatonin mediates photoperiod control of endocrine adaptationsand humoral immunity in male Siberian hamsters. J. Pineal Res. 43, 109-114.
Weil, Z.M., Borniger, J.C., Cisse, Y.M., Salloum, B.A., Nelson, R.J., 2015. Neuroendocrine control of photoperiodic changes in immune function. Front. Neuroendocr. 37,108-118.
Salinity is one of the important abiotic stress affecting microorganism growth and productivity. To survive these stresses most organisms have to stress-adaptation mechanisms. It's one of these things proline. We did not find any similar studies with P. aeruginosa and E. faecalis in our studies. The highest value for proline
Salinity is one of the important abiotic stress affecting microorganism growth and productivity. To survive these stresses most organisms have to stress-adaptation mechanisms. It's one of these things proline. We did not find any similar studies with P. aeruginosa and E. faecalis in our studies. The highest value for proline production at 30 ?C 100 rpm was in E. faecalis 11,074 U/ml and in E. coli 6,833 U/ml. The highest proline production in LB medium containing 37 ?C 100 rpm KCl was found to be in E. faecalis 14,604 U/ml and in E. coli 6,557 U/ml. However, there are studies with E. coli. This experiment revealed that the extracellular proline concentration is proportionally linked to the KCl stress. We should first mention that studies similar to those we were less common in the literature. We did not find any similar studies with P. aeruginosa and E. faecalis in our studies. Full article
Kaino T, Takagi H. Gene expression profiles and intracellular contents of stress protectants in Saccharomyces cerevisiae under ethanol and sorbitol stresses. Appl Microbiol Biotechnol.2008; 79: 273-83.
Takagi H. Proline as a stress protectant in yeast: physiological functions, metabolic regulations, and biotechnological applications. Appl Microbiol Biotechnol. 2008;81: 211-23.
Brill J, Hoffmann T, Bleisteiner M, Bremer E. Osmotically controlled synthesis of the compatible solute proline is critical for cellular defense of Bacillus subtilis against high osmolarity. J Bacteriol.2011;193(19): 5335-46.
Bayat RA, Ku?vuran ?, Ellialtio?lu ?, ?stun AS. Effects of proline application on antioxidative enzymes activities in the young pumpkin plants (Cucurbita pepo L. and C. moschata Poir.) under Salt Stres. Turk J Agr Nat Sci.2014; 1(1): 25-33.
Masuda M, Takamatu S, Nishimura N,Komatsubara S, et al. Improvement of culture conditions for l-proline production by a recombinant strain of Serratia marcescens. Appl Microbiol Biotechnol.1993;189(43):189-97.
Jensen JVK, Wendisch VF. Ornithine cyclodeaminase-based praline production by Corynebacterium glutamicum. Microbiol Cell Fact.2013; 12: 63-72.
Holmstr?m K, M?ntyl? E, Welin B, Mandal A, et al. Drought tolerance in tobacco.Nature, 1996; 379: 683-84.
Semmler ABT, Whitchurch CB, Mattick JS. A re-examination of twitching motility in Pseudomonas aeruginosa. Microbiol.1999; 145: 2863-73.
Calfee MW, Coleman JP, Pesci EC. Interference with Pseudomonas quinolone signal synthesis inhibits virulence factor expression by Pseudomonas aeruginosa.PNAS, 2001; 98 (20): 11633-37.
Takeuchi S, DiLuzio WR, Weibel DB, Whitesides GM. Controlling the shape of filamentous cells of Escherichia coli. Nano Letters, 2005; 5(9):1819-23.
Kau AL, Martin SM, Lyon W, Hayes E, et al. Enterococcus faecalis tropism for the kidneys in the urinary tract of C57BL/6J mice. Infect Immun.2005; 73(4):2461-68.
Troll W, Lindsley JA. Photometric method for thedetermination of proline. J Biol Chem.1954; 215: 655-60.
Sugiura M, Takagi T, Kisumi M. Proline production by regulatory mutants of Serratia marcescens. Appl Microbiol Biotechnol.1985;21: 213-19.
Shibasaki T, Hashimoto S, Mori H, Ozaki A. Construction of a novel hydroxyproline-producing recombinant Escherichia coli by Introducing a proline 4-hydroxylase gene. J Biosci Bioeng. 2000; 90(5): 522-25.
Sugiura M, Suzuki S, Takagi T, Kisumi M. Proline production via the arginine biosynthetic pathway: transfer of regulatory mutations of arginine biosynthesis into a proline-producing strain of Serratia marcescens.Appl Microbiol Biotechnol.1986; 24:153-58.
Csonka LN. Physiological and genetic responses of bacteria to osmotic stress. Microbiol Rev.1989; 53(1):121-147
In this paper, we present an overview of Morphological Image Processing and edge detection using gradient based on different operators in MATLAB and developed its GUI (Graphical User Interface). This paper describes the basic technological aspects of Digital Image Processing with reference to Morphological techniques used in image processing. The
In this paper, we present an overview of Morphological Image Processing and edge detection using gradient based on different operators in MATLAB and developed its GUI (Graphical User Interface). This paper describes the basic technological aspects of Digital Image Processing with reference to Morphological techniques used in image processing. The word morphology commonly denotes a branch of biology that deals with the form and structure of animals and plants. Morphological processing refers to certain operations where an object is hitwith a structuringelementand thereby reduced to a more revealing shape . Morphology is related to the shapes and digital morphology is a way to describe and analyze the shape of a digital object in image processing. Morphological image processing GUI deals with the detection of X-Ray images and its edge detection process. The complete image processing is done using MATLAB Graphical User Interface Development Environment (GUIDE). Full article
Anil K Jain, Fundamentals of Digital Image Processing Ed X, Prentice-Hall of India Pvt. Ltd. New Delhi, 2003.
Gonzalez, Rafael C., Richard E. Woods., Digital Image Processing Ed III, Pearson Education Asia, New Delhi, 2007.
Building GUIs with MATLAB, Version 5
S.Vijayarani, M.Vinupriya, Performance Analysis of Canny and Sobel Edge Detection Algorithms in Image Mining, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 8, October 2013.
K.Sreedhar, B.Panlal, Enhancement of Images Using Morphological Transformations, International Journal of Computer Science & Information Technology (IJCSIT) Vol. 4, No 1, Feb 2012, DOI: 10.5121/ijcsit.2012.4103 33.
Pinaki Pratim Acharjya, Ritaban Das, Dibyendu Ghoshal, A Study on Image Edge Detection Using the Gradients, International Journal of Scientific and Research Publications, Vol. 2, Issue 12, December 2012 1 ISSN 2250-3153.
Methionine, a sulfur amino acid, is the first amino acid that is required for many proteins, during synthesis. Our preliminary studies showed that this compound was produced during the late (post-stationary) secondary phase of growth. Therefore, restriction of methionine may be a useful strategy in limiting cancer growth. The bacterial
Methionine, a sulfur amino acid, is the first amino acid that is required for many proteins, during synthesis. Our preliminary studies showed that this compound was produced during the late (post-stationary) secondary phase of growth. Therefore, restriction of methionine may be a useful strategy in limiting cancer growth. The bacterial strain used in this study was Citrobacterfreundii(NRRL B-2643) and their vgb+recombinant strain. A 1/100 inoculum of overnight cultures grown in LB was made in 50 ml LB in 150 ml Erlenmeyer flasks. Inocula in flasks were grown for 24 h at 30 ?C in a 200 rpm water-bath. For MGL production, 250 ?L of this O/N culture was then inoculated into 150 mL conical flask containing 50 mL of sterile mineral salts medium supplemented with 1 % or 0.1 % (w/v) glucose, respectively. This was incubated for 96 h at 30 ?C, 200 rpm on an orbital shaker. The highest MGL concentration (2,02) was reached by the recombinant strain of Cf[pUC8:15] 72 h after the start of incubation MM+0,1% glucose source. In comparison, the wild type strain produced 3,14 of MGL concentration 72 h was reached MM+0,1% glucose source. The poor media and secondary phase (72 h and up) was used to for MGL production. This is more appropriate. Plasmid is disadvantages in the secondary stage. Full article
Cavuoto P, Fenech M.F. (2012). A review of methionine dependency and the role of methionine restriction in cancer growth control and life-span extension. Cancer TreatmentRev. 38, 726-736.
Sato D, Nozaki T. (2009). Methionine Gamma-Lyase: The unique reaction mechanism, physiological roles, and therapeutic applications against infectious diseases and cancers. IUBMB Life. 61(11), 1019-1028.
Kudou D, Misaki S, Yamashita M, Tamura T, Esaki N, Inagaki K. (2008). The role of cysteine 116 in the active site of the antitumor enzyme L-methionine ?-lyase from Pseudomonas putida. BiosciBiotechnolBiochem. 72(7), 1722- 1730.
Saa L, Mato J.M., Pavlov V. (2012). Assays for methionine ?- lyase and S-adenosyl-L-homocysteine hydrolase based on enzymatic formation of CdS quantum dots insitu. AnalChem, 84, 8961-8965.
Revtovich S.V., Morozova E.A., Khurs E.N., Zakomirdina L.N., Nikulin A.D., Demidkina T.V., Khomutov R.M. (2011). Three dimensional structures of noncovalent complexes of Citrobacterfreundiimethionine ?-lyase with substrates. Biochemistry, 76(5), 564-570.
Benavide M.A., Oelschlager D.K., Zhang H.G., Stockard C.R., Vital-Reyes V.S., Katkoori V.R., Manne U, Wang W, Bland K.I., Grizzle W.E. (2007). Methionine inhibits cellular growth dependent on the p53 status of cells. AmJSurgery. 193, 274- 283.
Li H, Huang Y, Zhang J, Du J, Tan H, Lu Y., Zhou, S. (2011). Identification and characterization of a novel methionine ?-lyase gene from deep-sea sediment metagenomic library. WorldJMicrobiolBiotechnol. 27, 2729-2736.
Morozova E.A., Bazhulina N.P., Anufrieva N.V., Mamaeva D.V., Tkachev Y.V., Streltsov S.A., Timofeev V.P., Faleev N.G., Demidkina T.V. (2010). Kinetic and spectral parameters of interaction of Citrobacterfreundiimethionine ?-lyase with amino acids. Biochemistry. 7(10), 1272-1280.
Ronda L, Bazhulina N.P., Morozova E.A., Revtovich S.V., Chekhov V.O., Nikulin A.D., Demidkina T.V., Mozzarelli A. (2011). Exploring methionine ?-lyase structure-function relationship via microspectrophotometry and X-ray crystallography. BiochimBiophysActa. 1814, 834-842.
Surowsky B, Fr?hling A, Gottschalk N, Schl?ter O, Knorr D. (2014). Impact of cold plasma on Citrobacter freundiiin apple juice: Inactivation kinetics and mechanisms. IntJFood Microbiol. 174, 63-71.
Wanga Z, Xiao Y, Chen W, Tang K, Zhang L. (2009). Functional expression of Vitreoscillahemoglobin (VHb) in Arabidopsis relieves submergence, nitrosative, photo-oxidative stress and enhances antioxidants metabolism. PlantScience. 176, 66-77.
Soda K. (1968). Microdetermination of D-amino acids and D- amino acid oxidase activity with 3-methyl-2-benzothiazolone hydrazone hydrochloride. AnalBiochem. 25, 228-235.
Tanaka H, Imahara H, Esaki N, Soda K. (1980). Selective determination of L-methionine and L-cysteine with bacterial L-methionine ?-lyase and anti-tumor activity of the enzyme.J ApplBiochem. 2, 439-444.
Kahraman H, Erenler S.O. (2012). Rhamnolipid production by Pseudomonasaeruginosaengineered with the Vitreoscilla hemoglobin gene. ApplBiochemMicrobiol. 48(2), 188-193.
Pavillard V, Nicolaou A, Double J.A., Phillips R.M. (2006). Methionine dependence of tumours: A biochemical strategy for optimizing paclitaxel chemosensitivity invitro. Biochem Pharma. 71, 772-778.