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Además se evaluó el potencial de 15 aislados seleccionados en ensayos preliminares como promotores de la germinación, analizando la tasa de cada estado de desarrollo de las semillas en presencia de cada hongo. coriacardia, mediante amplificación por PCR y secuenciación de la región ITS. En el presente estudio, se aisló la fracción cultivable de hongos endófitos de especímenes maduros de P. Este es el caso de Pleurothallis coriacardia una orquídea endémica de bosques montanos de los Andes, con hábitos epífitos y litófitos. Mientras la atención se ha dirigido hacia el estudio de los hongos micorrícicos con este fin, la diversidad y las funciones de otros hongos endófitos que habitan las raíces de orquídeas siguen siendo poco conocidas, y pocos estudios han verificado un rol ecológico en beneficio de la planta. Las semillas de la mayor parte de orquídeas dependen de la presencia de hongos para desencadenar el proceso de germinación e incluso el desarrollo de protocormos. Keywords: Andean montane forest bosques montanos andinos desarrollo embrionario embryo development epiphytic orchids Ilyonectria lithophytic orchids orquídeas epífitas orquídeas litófitas Psathryrellaceae coriacardia seeds, a result that highlights the ecological roles these endophytic fungi may play in nature. Some isolates, identified as members of the Ilyonectria and Coprinellus genera, significantly promoted embryo development in vitro in P.

Most of the isolated endophytes were classified within Psathyrellaceae. We also tested the potential of these endophytic fungi to improve embryo development and seed germination. In the present study, we screened the cultivable fraction of the endophytic fungi colonizing the roots of mature plants of P. This is the case of Pleurothallis coriacardia, an endemic green Neotropical orchid with both epiphytic and lithophytic habits growing in High-Andean montane forests. While attention has been directed towards the study of mycorrhizal fungi, the diversity and functions of endophytic fungi from orchid roots remain underexplored, and few studies have verified their ecological role.
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Furthermore, QSAR models developed are statistically significant and predictive, and could be used for the design and synthesis of new anti-cancer molecules.Seeds of many orchids rely on the presence of fungi to trigger the germination process and even to initiate the full development of protocorms. Moreover, the charge of the ligand is the priority descriptor for the prediction of the cytotoxicity of the compounds studied.
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The models developed show that the variation of the free enthalpy of reaction, the dipole moment μ and the charge of the ligand in the complex Ql, are the explanatory and predictive quantum descriptors correlated with the values of the anti-cancer activity of the studied complexes. The statistical characteristics of the established QSAR models satisfy the acceptance and external validation criteria, thereby accrediting their good performance. The models present the following statistical indicators: regression correlation coefficient R2 = 0.986 - 0.905, standard deviation S = 0.516 - 0.153, Fischer test F = 106.718 - 14.220, correlation coefficient of cross-validation = 0.985- 0.895 and = 0.010 - 0.001. Five Quantitative Structure Activity Relationship (QSAR) models were obtained from the determined quantum descriptors and the different activities.

Thus, in order to predict the cytotoxic potentials of these compounds, quantitative structure-activity relationship studies were carried out using the methods of quantum chemistry.
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Ruthenium Azopyridine Complex, Anti-Cancer, QSAR, DFT MethodĪBSTRACT: A series of ruthenium azopyridine complexes have recently been investigated due to their potential cytotoxic activities against renal cancer (A498), lung cancer (H226), ovarian cancer (IGROV), breast cancer (MCF-7) and colon cancer (WIDR). Quantitative Structure Anti-Cancer Activity Relationship (QSAR) of a Series of Ruthenium Complex Azopyridine by the Density Functional Theory (DFT) MethodĪUTHORS: Kouakou Nobel N’guessan, Mamadou Guy-Richard Koné, Kafoumba Bamba, Ouattara Wawohinlin Patrice, Nahossé Ziao

XLSTAT Version 2014.5.03 Copyright Addinsoft 1995-2014 (2014) XLSTAT and Addinsoft Are Registered Trademarks of Addinsoft.
