The densities and distributions of airborne fungal spores known to cause respiratory tract disorders were monitored in three educational buildings located in different boroughs in Iaşi. Air samples from all locations were collected monthly over a period of 3 months (March-May 2011), using the Petri plate gravitational settling (passive) method. Petri plates containing nutrient media were exposed to room air for a 15-minute period, face upwards, to collect particles settling by gravity. A total of 6196 microfungal colonies were counted on 936 plates. During the sampling period 15 fungal genera were isolated and identified. Fungal spores density in the educational institution's air was within the sanitary level accepted for public buildings, with the exception of one high school classroom, which has the potential to put the occupants at risk of developing adverse health effects. Indoor results show differences for fungal genera distribution between the educational buildings. The dominant genera were represented by Penicillium, Cladosporium, Aspergillus and Alternaria with 41.7, 19.2, 13.7 and 11.2% of the total, respectively.
Tilia tomentosa varieties were analyzed using Random Amplified Polymorphic DNA (RAPD) primers to determine genetic diversity. In this study, six samples provided by the Botanical Garden "Anastasie Fătu" of Iasi, Romania were compared to a variety collected from an ecosystem in Giessen, Germany. A total of 91 bands were obtained from nine RAPD primers, 79 (86.8%) of which were polymorphic. Marker data was used for a principal component analysis that showed clear differentiation among Romanian and German samples. Furthermore, Romanian genotypes were clustered together in the principal component analysis. PCA analysis was followed by an Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster analysis which revealed two major groups. Samples from the Romanian ecosystem showed high genetic similarity. Generally, samples did not separate from each other in the UPGMA analysis, excepting the German sample.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.