The aim of the present study to detect the population and frequency (%) of microorganism (bacteria, fungi and yeasts) in royal jelly samples. The data indicated that, there are no significant differences were remarked in the population of microorganisms between all the samples for bacteria, fungi and yeasts, where the mean number of population was 5.923, 1.38 and 7.85 colonies/sample for bacteria, fungi and yeasts respectively, in produced royal jelly from honeybee colonies, local royal jelly collected from Egyptian market and samples of imported royal jelly collected from Egyptian market, respectively. According to the isolation and identification procedures for detected royal jelly samples, four bacteria types (Clostridium botulinum, Bacillus cereus, Bacillus wakoensis and Micrococcus luteus), two fungi types (Aspergillusniger and Penicillium sp.) and one yeast type (Saccharomyces cerevisiae) were determined. The data also summarized that Clostridium botulinum was the most frequency compared with the other bacterial types, where the percentage of frequency was 1.8 – 2.5, 0.9 – 1.4, 0.4 – 0.6 and 1.5 – 2.0% for C. botulinum, B. cereus, B. wakoensis and Micrococcus luteus, respectively. Meanwhile, Penicillium sp. the most frequency compared with A. niger, where the percentage of frequency was 0.5 - 2.9 and 0.7 – 1.0 %, respectively, in produced royal jelly from honeybee colonies, local royal jelly samples collected from Egyptian market and imported royal jelly samples collected from Egyptian market respectively. Regarding the yeasts, the data also summarized that, S. cerevisiae was the most frequency in royal jelly that produced from  honeybee colonies (2.9%) followed by which local royal jelly samples collected from Egyptian market (2.1%) and imported royal jelly samples collected from Egyptian market (1.8%).

The aim of the present work to study the effect of foodtypes (sugar syrup fortified with Garlic (Allium sativum), Lemon (Citrus limon), Garlic plus Lemon), pollen grains and plain sugar syrup (1:1)) on contamination of honey with bacteria, fungi and yeasts. The data indicated that application of sugar syrup plus extracts of garlic, lemon, garlic plus lemon or bee pollen led to decrease population of bacteria, fungi and yeasts compared with control treatment (plain sugar syrup 1:1). The fungi were the least population in all the treatments compared with bacteria and yeasts, meanwhile population of bacteria were moderately and the yeasts were the most occurrence. Garlic plus lemon treatment was the most effective against population of microorganisms, but garlic and lemon separate were moderately effective and bee pollen treatment was the least effective compared with other treatments. According to isolation and identification procedures, three bacterial species (Bacillus brevis, Bacillus cereus and Clostridium botulism), four fungal species (Aspergillus apis, Aspergillus niger, Cladosporium sp. and Penicillium sp.) and three yeasts species (Debaromyces sp., Lipomyces sp. and Saccharomyces sp.) were determined according to cultural, morphological and physiological characters. Cladosporium botulism bacterium was the most frequency compared with other bacteria species, but Aspergillus apis fungus was the most frequency compared with other fungi species and Lipomyces sp. was the most frequency compared with other yeasts.

Among 17 fungal isolates isolated from soil of El-hawia, El-hada, El-kaym and Karwa in Taif governorate in Saudi Arabia, two isolates showed high efficacy in producing cellulases enzymes. They were identified to be Altemaria altemata and Aspergillus wentii. Some factors such as carbon and wheat bran as a raw material, nitrogen, pH and incubation temperature were investigated. Results indicated that glucose and cellulose were the most effective as a carbon source while, urea was the best nitrogen source for cellulases production. Initial pH 5.0 and incubation temperatures at 25 or 35°C achieved high cellulases production.

In the present study, two molecular biology tools based on DNA were compared in the differentiating between some microbial strains isolated from soil. Two types (16SrRNA and 18SrRNA) of ribosomal RNA genes were used for identification of the four bacterial and three fungal isolates, respectively. The identified microbial isolates were submitted in GenBank as strains of Escherichia coli MSL-19 (LC455952.1); Bacillus sp. MSLB-1 (LC455953.1); Bacillus sp. MSLB2 (LC455954.1); Bacillus sp. MSLB3 (LC455955.1); Penicillium sp. MLSP1 (LC455956.1); Aspergillus niger MLSAs1 (LC455958.1); Aspergillus sp. MLSAs2 (LC455959.1). The DNA obtained from the seven microbial strains was used as templates for RAPDPCR differentiating in the presence of eight random primers. Electrophoresis analysis was performed, and on scoring, the identity percentages between the bacterial and fungal strains were separately analyzed. A percentage of 82-83% was recorded between the E. coli and the three Bacillus strains, while, identities of 93-98% were recorded between the three Bacillus strains. Similar trend (90-96%) was observed between the Penicillium and Aspergillus strains. Results confirmed that identities based on the two ribosomal RNA genes (82-98%) was higher than that of RAPD-PCR (70.0-79.7%), and this is because of ribosomal RNA genes are in limited sizes (~1500-1600 bp) and specific for differentiating species, while RAPD-PCR tool depends on using some random primers could be recorded on the whole genome. The phylogenetic trees based on the two molecular  tools supported the obtained results. As a conclusion, tools of RAPD-PCR and ribosomal RNA genes were successfully used to identify and detect the genetic variability of microbial strains isolated from soil.

White coats worn by professionals in the medical field (students of health) or the work in the laboratory (students of Science), goal protect clothing from microbes.  In this study was determined the type of microbial contamination on the white coats and the potential risks of microbes. The study was done by a questionnaire for students and samples swabs of coats for 80 students from the Fac. of Health and Science. The results explained the presence of pathogenic bacteria causing inflammatory and dimples contaminated white coats, such as Erysipelothrio rhusiopathiae causing the h time skin, Micrococcus luteues causing chronic inflammatory skin ; bacterial meningitis and blood contamination unidentified Organism and Kocuria kristinae causing infections of the urinary tract infections, gallbladder and opportunistic bacteria and the spread of  nosocomial  infections, one of opportunistic pathogens. As well as  recorded  high proportion of serious fungi that cause various diseases and contamination of food such as Aspergillus niger ; Helminthosporium spp, Fusarium SPP, and Alternaria alternate . This study suggests that a large proportion of white coats may be a carrier of serious morbidity among female students in colleges is different, especially when not . There are laws and regulations in organizing wear these coats and the way to carry and learn how the daily cleaning of .