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Matei Sorin, Matei Gabi-Mirela and Dumitrașcu Monica

Abstract

Soils from rural zones with high natural value (HNV) agriculture systems are an important source of beneficial microbial species that can be useful for various biotechnological purposes, such as transfer of suppressiveness against plant pathogens from suppressive to disease-inducing soils by using inoculation with antagonistic selected strains. The main goal of the paper was to present the results of the research carried out on strains isolated from soil microbial populations in HNV agriculture system (Mureș county, Romania) responsible for specific suppressiveness against soil-borne phytopathogens. The dual culture method was used for assessing the mechanisms involved in antagonism against a plant pathogenic strain from genus Fusarium. The global microbial activity measured as soil respiration was intense. Total counts of bacteria and fungi estimated by dilution plate were also high. The community of heterotrophic aerobic bacteria included 13 species. Associations of fluorescent pseudomonads and actinomycetes were dominant and presented antagonistic activity against Fusarium. Twenty fungal species presented cellulolytic capability evidenced by growth on culture media with cellulose as sole source of carbon. Over cellulolytic capacity, the selected isolate of Trichoderma viride presented antagonistic activity against pathogenic Fusarium strain. Both biochemical mechanism and hyperparasitism were evidenced as involved in its antifungal activity.

Open access

Nicoleta Ionac and Monica Matei

Abstract

The present paper investigates on the spatial and temporal variability of maximum and minimum air-temperatures in Romania and their connection to the European climate variability. The European climate variability is expressed by large scale parameters, which are roughly represented by the geopotential height at 500 hPa (H500) and air temperature at 850 hPa (T850). The Romanian data are represented by the time series at 22 weather stations, evenly distributed over the entire country’s territory. The period that was taken into account was 1961-2010, for the summer and winter seasons. The method of empirical orthogonal functions (EOF) has been used, in order to analyze the connection between the temperature variability in Romania and the same variability at a larger scale, by taking into consideration the atmosphere circulation. The time series associated to the first two EOF patterns of local temperatures and large-scale anomalies were considered with regard to trends and shifts in their mean values. The non- Mann-Kendall and Pettitt parametric tests were used in this respect. The results showed a strong correlation between T850 parameter and minimum and maximum air temperatures in Romania. Also, the ample variance expressed by the first EOF configurations suggests a connection between local and large scale climate variability.

Open access

Mihaela Laura Vica, Lia Monica Junie, Alecsandra Iulia Grad, Alexandru Tataru and Horea Vladi Matei

Abstract

Sexually transmitted diseases (STDs) are a very important cause of illness worldwide and prolonged, untreated infections with STD pathogens may have serious consequences. Our study aims to evaluate the distribution of six different STDs (Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, Ureaplasma urealyticum, Mycoplasma hominis and Mycoplasma genitalium) in male urine samples. First void urine samples from 52 symptomatic patients were collected between April 2014 and April 2015. DNA was extracted, purified and amplified via multiplex polymerase chain reaction (PCR) for the detection of the six STD pathogens, further identified using a 2% agarose gel electrophoresis with ethidium bromide as staining agent. STD frequency in the study group was 53.84 % (28 patients), mostly in the 20-29 years age group. Among positive patients, six presented multiple infections. 35 positive DNA samples were identified in the study: 17 of C. trachomatis, 9 of U. urealyticum, 7 of N. gonorrhoeae and 2 of M. genitalium. Wide scale application of the system based on the simultaneous detection of these six pathogens inducing STD may facilitate diagnosis, especially in multiple infections.