Any plant with a vascular system has a specific endophytic microflora. The identification of bacteria is essential in plant pathology. Although identification methods are effective, they are costly and time consuming. The purpose of this work is to isolate and to identify the different bacteria from the internal tissues of Urtica dioica L. and to study their diversity. This last is based on the different parts of the plant (stems, leaves and roots) and the harvest regions (Dellys and Tlamcen). The identification of bacteria is done by biochemical tests and confirmed by MALDI-TOF MS. Seven genus and eleven species were isolated from the Great Nettle. They belong to the genera Bacillus, Escherichia, Pantoea, Enterobacter, Staphylococcus, Enterococcus and Paenibacillus. The majority of these bacteria were isolated from Tlemcen which makes this region the richest in endophytic bacteria compared to that harvested from Dellys. The results show also that the leaves are the most diversified in endophytic bacteria. Bacillus pumilus-ME is the common species of the three parts of the plant harvested in both regions. From this work, it emerges that the Great Nettle can be settled by various endophytic bacteria which are differently distributed within the same plant harvested in different regions.
In a continuation of our previous work for the exploration of novel enzyme inhibitors, molecular modeling was used to inspect the binding mode of perillaldehyde and D-limonene, the major compounds of essential oil of Algerian Ammodaucus leucotrichus into the active site pocket of cholinesterase (AChE and BuChE) and Monoamine Oxidase (MAO). The molecular docking was carried out using Molecular Operating Environment (MOE) software package. Docking analysis showed that this compounds (perilladehyde and D-limonene) can interact with both the Catalytic Active Site (CAS) of AChE, BuChE and MAO. For D-limonene, molecular docking showed favorable H-phi interaction with catalytic residue of AchE and BuChE. The perillaldehyde showed best interaction profile with BuChE as compared with compound D-Limonene. The best interaction between perilladehyde and monoamine oxidase was also revealed. This paper shows best correlation between the in vitro study and the in silico molecular docking study of anti-cholinesterase and anti-monoamine oxidase activities.
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