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Variations in the expression pattern of HSP27 and MSK1 genes during the development of prehierarchical follicles in the Zi geese (Anser cygnoides)

Abstract

The p38MAPKs (mitogen-activated protein kinases) signaling contributes a pivotal role in mammalian ovarian follicular development; however, the knowledge regarding their expression in geese remains unresolved. The objective of the current study was to determine the spatio-temporal expression of heat shock protein 27 (HSP27) and mitogen- and stress-activated protein kinase 1 (MSK1) genes in the prehierarchical follicles during geese ovarian development. The prehierarchical follicles samples were harvested from 35-37 weeks old healthy laying geese. HSP27 and MSK1 relative expression in various sized prehierachical follicles was detected by real-time quantitative polymerase chain reaction (RT-qPCR) and western blotting. Follicular wall localization of HSP27 and MSK1 was examined by using immunohistochemistry. Our results at mRNA level indicated that HSP27 was highly expressed in middle white follicles whereas MSK1 was predominantly expressed in small white follicles. The western blotting results for HSP27 and MSK1 were inconsistent with the RT-qPCR results in various stages of prehierachical follicular development but noticeably, HSP27 proteins were still expressed more in middle white follicles while MSK1 proteins were more abundant in primary follicles. At different stages of prehierarchical development, immunodetections in the granulosa and theca cells revealed that HSP27 was intensively localized in middle white follicles while strong detections in MSK1 were observed in large white follicles. These results indicate HSP27 and MSK1 might be associated to the key regulators of folliculogenesis in geese.

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The Impact of Mastitis on Reproductive Parameters of Dairy Cows

cows (In Slovak). Potravinárstvo (Food Industry), 7, 207—212. DOI: 10.5219/304. 7. Jackson, P., Cockeroft, P., 2002: Clinical Examination of Farm Animals . Oxford, UK, Blackwell Science Ltd, Wiley-Blackwell, 54—166. 8. Kivaria, F. M., Noordhuizen, J. P., 2007: A retrospective study of the aetiology and temporal distribution of bovine clinical mastitis in smallholder dairy herds in the Dar es Salaam region of Tanzania. Vet. J. , 173, 617—622. DOI: 10.1016/j.tvjl.2006.01.008. 9. Kvapilík, J., Pytloun, J. 2002: The economic importance of

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Functions of circular RNAs involved in animal skeletal muscle development – a review

). Identification and characterization of circular RNAs in zebrafish. FEBS letters, 591:213-220. Sun, J., Xie, M., Huang, Z., Li, H., Chen, T., Sun, R., Wang, J., Xi, Q., Wu, T., and Zhang, Y. (2017). Integrated analysis of non-coding RNA and mRNA expression profiles of 2 pig breeds differing in muscle traits. J. Anim. Sci., 95, 1092–1103. Venø, M. T., Hansen, T. B., Venø, S. T., Clausen, B. H., Grebing, M., Finsen, B., Holm, I. E., and Kjems, J. (2015). Spatio-temporal regulation of circular RNA expression during porcine embryonic brain development. Genome Biol., 16

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The Role of Endocannabinoid System Based on mRNA Expression During the Late Luteal Phase and Estrus in the Bovine Endometrium

. Chem., 278: 32726–32732. Mc Carthy S.D., Roche J.F., Forde N. (2012). Temporal changes in endometrium mRNA expression and protein localization of members of the IGF family in cattle. Effects of progesterone and pregnancy. Physiol. Genomics, 44: 130–140. NRC-National Research Council (2001). Nutrient requirements of dairy cattle. Natl. Acad. Sci., 7th rev. ed., Washington, DC, USA. Schmid P.C., Paria B.C., Krebsbach R.J., Schmid H.H., Dey S.K. (1997). Changes in anandamide levels in mouse uterus are associated with uterine receptivity for embryo

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The effect of a rat diet without added Cu on redox status in tissues and epigenetic changes in the brain

., (2012). Inherited Copper Transport Disorders: Biochemical Mechanisms, Diagnosis, and Treatment. Curr. Drug Metab.. 13: 237-250 Kumar V., Kalita J., Misra U.K., Bora H.K., (2015). A study of dose response and organ susceptibility of copper toxicity in a rat model. J. Trace Elem. Med. Biol., 29: 269–274. Kumar V., Kalita J., Bora H.K., Misra U.K., (2016). Temporal kinetics of organ damage in copper toxicity: A histopathological correlation in rat model. Regul. Toxicol. Pharmacol., 81: 372-380. Lawrence R.A., Jenkinson S.G., (1987). Effects of copper

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Appraisal of the Antioxidative Potential of Aloe Barbadensis M. on Alcohol-Induced Oxidative Stress

: Glutathione reductase. Method Enzymol. , 113, 485—490. 6. Carney, J. M., Starke-Reed, P. E., Oliver, C. N., Landum, R. W., Cheng, M. S., Wu, J. F., Floyd, R. A., 1991: Reversal of age-related increase in brain protein oxidation, decrease in enzyme activity, and loss in temporal and spatial memory by chronic administration of the spin-trapping compound N-tert-butyl-alpha-phenylnitrone. Proceedings of the National Academy of Sciences , 88, 9, 3633—3636. DOI: 10.1073/pnas.88.9.3633. 7. Chandan, B. K., Saxena, A. K., Shukla, S., Sharma, N., Gupta, D. K., Suri, K

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Analysis of Precipitation and Runoff Conditions in Agricultural Runoff Monitoring Sites

Abstract

In order to assess the nature of climate change, it is important to analyze the indicators of climate variability in different scales: spatial and temporal. The analysis at different scales can lead to understanding of the nature of variations. Climate change studies are essential for comprehending the nature of global processes, to refine global climate patterns and also develop further research for natural processes (Meinke, Stone, 2005; Hulme et al., 1999). Processes in nature are united, continuous and in constant interaction. Variance of interaction types are immeasurable, types can be connected with different scales and science fields, for example, biological, ecological, physical etc. If interaction is taking place between the land and atmosphere, it is defined as hydrological interaction. As water is significantly important for many purposes on the Earth, it is relevant to analyze precipitation and water runoff on a local scale. In the territory of Latvia, the amount of precipitation exceeds the level of evapotranspiration. Long-term monitoring data show that precipitation leads to average runoff of 250 mm per year (Ziverts, 2004). The monitoring data collected at three research sites located in Latvia was used for this research including Berze (Lielupe river basin, meteorological station in Dobele), Mellupite (Venta river basin, meteorological station in Saldus monitoring) and Vienziemite (Gauja river basin, meteorological station in Zoseni). The results from this study show that there is a pronounced interaction between runoff and precipitation with an average of 53 to 82%.

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Influence of Smoking on Indicatory PCB Congeners Residues Levels in Fish Slices

data, assumptions and statistical approaches. Chemosphere, 1999, 39, 2209-2228. Loganathan B.G., Tanabe S., Hidaka Y., Kawano M., Hidaka H., Tatsukawa R., Temporal trends of persistent organochlorine residues in human adipose tissue from Japan, 1928-1985. Environ. Pollut., 1993, 81, 31-39. Mergler D., Belanger S., Larribe F, Panisset M., Bowler R., Baldwin M., Lebel J., Hudnell K., Preliminary evidence of neurotoxicity associated with eating fish from the Upper St. Lawrence River Lakes. Neurotoxicology, 1998, 19

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Activation of Defense Responses in Cucumber and Tomato Plants by Selected Polish Trichoderma Strains

., Krsnik-Rasol M. 2004. Guaiacol peroxidases in carrot ( Daucus carota L.) Root. Food Technol. Biotechnol. 42: 33-36. Maehly A.C, Chance B. 1954. The assay of catalase and peroxidase, In: Methods of Biochemical Analyses Vol. 1: 357-424, Intersci. Publishers Inc., New York. Małolepsza U. 2005. Spatial and temporal variation of reactive oxygen species and antioxidant enzymes in o -dihydroxyethylorutin-treated tomato leaves inoculated with Botrytis cinerea . Plant Pathol. 54: 317

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Monitoring Oats and Winter Wheat Within-Field Spatial Variability by Satellite Images

operational land imager (OLI) sensors. Remote Sensing, 6, 310–329. doi: 10.3390/rs6010310. Machado S, Bynum ED, Archer TL, Lascano RJ, Wilson LT, Bordovsky J, Segarra E, Bronson K, Nesmith DM, Xu W (2002): Spatial and temporal variability of corn growth and grain yield: Implications for site-specific farming. Crop Sciences, 42, 1564–1576. doi: 10.2135/cropsci2002.1564. Marques da Silva JR, Silva LL (2008): Evaluation of the relationship between maize yield spatial and temporal variability and different topographic attributes. Biosystems Engineering, 101, 183

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