Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Díaz Tatis, Paula AlejandraReyes Guzmán, Edwin AlfredoSilva Fernández, Lesly Ximena2022-04-302022-04-302021-11-24http://repositorio.uan.edu.co/handle/123456789/6385The Cassava bacterial blight is a disease caused by the bacterium Xanthomonas phaseoli pv. manihotis (Xpm) and has been reported in all regions of the world where cassava is cultivated. The most economical and effective strategy for the management of the disease is the use of resistant varieties, but there have been few studies aimed at understanding the molecular basis of the resistance of cassava to this pathogen. Recently it was identified that the NLR protein named RXM2 confers resistance to different strains of Xpm. However, the molecular mechanism used by this protein to recognize Xpm effectors is unknown. This project allowed the generation of the possible three-dimensional structure of RXAM2 and XopE1, XopE4, XopC2, XopAK and XopV effectors of Xpm, by homology modeling. The LRR domain was identified as the possible responsible for the recognition of the effectors, through rigid and flexible molecular docking. On the other hand, it was possible to identify sites under negative selection in 65 Xpm strains, which suggests a high conservation between the effectors present in strains from different biogeographic regions.La bacteriosis vascular de la yuca es una enfermedad ocasionada por la bacteria Xanthomonas phaseoli pv. manihotis (Xpm) y se ha reportado en todas las regiones del mundo donde se cultiva la yuca. La estrategia más económica y efectiva para el manejo de la enfermedad es la utilización de variedades resistentes, pero han sido pocos los estudios encaminados a entender la base molecular de la resistencia de la yuca a este patógeno. Recientemente se identificó que la proteína NLR llamada RXAM2 confiere resistencia a diferentes cepas de Xpm. Sin embargo, se desconoce el mecanismo molecular que emplea esta proteína para reconocer efectores de Xpm. Este proyecto permitió la generación de la posible estructura tridimensional de RXAM2 y XopE1, XopE4, XopC2, XopAK y XopV efectores de Xpm, mediante modelado por homología. Se identificó principalmente al dominio LRR como el posible responsable del reconocimiento de los efectores, a través de acoplamiento rígido y flexible. Por otro lado, se logró identificar, sitios sujetos a selección negativa en 65 cepas de Xpm, lo que sugiere una alta conservación entre los efectores presentes en cepas de diferentes regiones biogeográficas.spaAcceso abiertoInmunidad vegetalBacteriosis vascularModelamiento estructuralAcoplamiento molecularPolimorfismos540Tesis y disertaciones (Maestría y/o Doctorado)Plant immunityCassava bacterial blightStructural modelingMolecular dockingPolymorphismsinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Almagro Armenteros, J. J., Sønderby, C. K., Sønderby, S. K., Nielsen, H., & Winther, O. (2017). DeepLoc: prediction of protein subcellular localization using deep learning. Bioinformatics, 33(21), 3387-3395. https://doi.org/10.1093/bioinformatics/btx548Aristizábal, J., & Sánchez, T. (2007). Guía técnica para producción y análisis de almidón de yuca. FAO. http://www.fao.org/documents/card/es/c/cd9e42e3-7200-5990-b0a7-073d05bbcb2a/Arrieta Ortiz, M. L., Rodríguez R, L. 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