Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani
Descripción del Articulo
Sheath blight caused by Rhizotonia solani is described as the second major disease affecting rice. Genetic resistance to R. solani the ideal control measure is hampered because of the difficulty in identifying adequate resistance sources under typical selection conditions. Proteomic analysis techniq...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2021 |
Institución: | Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo |
Repositorio: | Tayacaja |
Lenguaje: | español |
OAI Identifier: | oai:ojs.unat.edu.pe:article/156 |
Enlace del recurso: | https://revistas.unat.edu.pe/index.php/RevTaya/article/view/156 |
Nivel de acceso: | acceso abierto |
Materia: | Arroz Rhizoctonia solani proteínas de resistencia 2-D PAGE rice resistance proteins |
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dc.title.none.fl_str_mv |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani Detección de proteínas de arroz utilizando geles 2-D después de la inoculación con Rhizotonia solani |
title |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
spellingShingle |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani Morela Delgado, Fuchs Arroz Rhizoctonia solani proteínas de resistencia 2-D PAGE rice Rhizoctonia solani resistance proteins 2-D PAGE |
title_short |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
title_full |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
title_fullStr |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
title_full_unstemmed |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
title_sort |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solani |
dc.creator.none.fl_str_mv |
Morela Delgado, Fuchs Fernández, Marisol Pérez-Almeida , Iris |
author |
Morela Delgado, Fuchs |
author_facet |
Morela Delgado, Fuchs Fernández, Marisol Pérez-Almeida , Iris |
author_role |
author |
author2 |
Fernández, Marisol Pérez-Almeida , Iris |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Arroz Rhizoctonia solani proteínas de resistencia 2-D PAGE rice Rhizoctonia solani resistance proteins 2-D PAGE |
topic |
Arroz Rhizoctonia solani proteínas de resistencia 2-D PAGE rice Rhizoctonia solani resistance proteins 2-D PAGE |
description |
Sheath blight caused by Rhizotonia solani is described as the second major disease affecting rice. Genetic resistance to R. solani the ideal control measure is hampered because of the difficulty in identifying adequate resistance sources under typical selection conditions. Proteomic analysis techniques using two-dimensional gels (2D-PAGE) allow the study or monitoring of global changes in protein expression under normal and stress conditions. In this work, we compared rice leaves protein expression patterns of two Venezuelan varieties 12, 24 and 48 h after inoculation with R. solani. Approximately 400 and 300 protein spots stained with Sypro Ruby were reproducibly resolved across gel replicates, for PALMAR and FONAIAP-2000, respectively. Forty proteins out of a total 49 were identified for PALMAR variety, with thirty-two up-regulated protein spots and 8 down-regulated. Twenty-six proteins out of a total 33 were identified for FONAIAP-2000 variety, with seven up-regulated protein spots and 19 down-regulated. RuBisCo was the protein most identified (48% and 82% of the detected proteins for PALMAR and FONAIAP-2000, respectively). Other identified proteins showing variations were ATPase beta subunit, UDP-glucose anthocyanin 5-O-glucosyltransferase, RNA-binding protein, putative transkelotase 1, putative ferredoxin-NAPD(H) oxide-reductase, and putative 33kDa oxygen evolving protein photosystem II. Based on our results, rice response to R. solani could be described where energy is required to induce a defense and it is supplied by proteins involved in energy metabolism. According to this, proteomic could provide information and insights on the response of rice to challenge with R. solani and other pathogens. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.unat.edu.pe/index.php/RevTaya/article/view/156 10.46908/tayacaja.v4i1.156 |
url |
https://revistas.unat.edu.pe/index.php/RevTaya/article/view/156 |
identifier_str_mv |
10.46908/tayacaja.v4i1.156 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistas.unat.edu.pe/index.php/RevTaya/article/view/156/124 |
dc.rights.none.fl_str_mv |
Derechos de autor 2021 Fuchs Morela Delgado, Marisol Fernández, Iris Pérez-Almeida https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2021 Fuchs Morela Delgado, Marisol Fernández, Iris Pérez-Almeida https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo |
publisher.none.fl_str_mv |
Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo |
dc.source.none.fl_str_mv |
TAYACAJA; Vol. 4 No. 1 (2021): Revista de Investigación Científica Tayacaja (Enero - Junio); 100 - 113 TAYACAJA; Vol. 4 Núm. 1 (2021): Revista de Investigación Científica Tayacaja (Enero - Junio); 100 - 113 Tayacaja; Vol. 4 No. 1 (2021): Tayacaja Scientific Research Journal (January - June); 100 - 113 2617-9156 reponame:Tayacaja instname:Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo instacron:UNAT |
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Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo |
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Tayacaja |
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spelling |
Screening of rice proteins using 2-d gels after inoculation with Rhizotonia solaniDetección de proteínas de arroz utilizando geles 2-D después de la inoculación con Rhizotonia solaniMorela Delgado, FuchsFernández, MarisolPérez-Almeida , IrisArrozRhizoctonia solaniproteínas de resistencia2-D PAGEriceRhizoctonia solaniresistance proteins2-D PAGESheath blight caused by Rhizotonia solani is described as the second major disease affecting rice. Genetic resistance to R. solani the ideal control measure is hampered because of the difficulty in identifying adequate resistance sources under typical selection conditions. Proteomic analysis techniques using two-dimensional gels (2D-PAGE) allow the study or monitoring of global changes in protein expression under normal and stress conditions. In this work, we compared rice leaves protein expression patterns of two Venezuelan varieties 12, 24 and 48 h after inoculation with R. solani. Approximately 400 and 300 protein spots stained with Sypro Ruby were reproducibly resolved across gel replicates, for PALMAR and FONAIAP-2000, respectively. Forty proteins out of a total 49 were identified for PALMAR variety, with thirty-two up-regulated protein spots and 8 down-regulated. Twenty-six proteins out of a total 33 were identified for FONAIAP-2000 variety, with seven up-regulated protein spots and 19 down-regulated. RuBisCo was the protein most identified (48% and 82% of the detected proteins for PALMAR and FONAIAP-2000, respectively). Other identified proteins showing variations were ATPase beta subunit, UDP-glucose anthocyanin 5-O-glucosyltransferase, RNA-binding protein, putative transkelotase 1, putative ferredoxin-NAPD(H) oxide-reductase, and putative 33kDa oxygen evolving protein photosystem II. Based on our results, rice response to R. solani could be described where energy is required to induce a defense and it is supplied by proteins involved in energy metabolism. According to this, proteomic could provide information and insights on the response of rice to challenge with R. solani and other pathogens.El tizón de la vaina causado por Rhizotonia solani se describe como la segunda enfermedad importante que afecta al arroz. La resistencia genética a R. solani, la medida de control ideal, se ve obstaculizada debido a la dificultad de identificar fuentes de resistencia adecuadas en condiciones típicas de selección. Las técnicas de análisis proteómico que utilizan geles bidimensionales (2D-PAGE) permiten el estudio o seguimiento de cambios globales en la expresión de proteínas en condiciones normales y de estrés. En este trabajo, comparamos los patrones de expresión de proteínas en hojas de arroz de dos variedades venezolanas 12, 24 y 48 h después de la inoculación con R. solani. Aproximadamente 400 y 300 manchas de proteína teñidas con Sypro Ruby se resolvieron de forma reproducible a través de réplicas de gel, para PALMAR y FONAIAP-2000, respectivamente. Se identificaron cuarenta proteínas de un total de 49 para la variedad PALMAR, con treinta y dos manchas proteicas reguladas al alza y 8 reguladas a la baja. Se identificaron 26 proteínas de un total de 33 para la variedad FONAIAP-2000, con siete manchas proteicas reguladas al alza y 19 reguladas a la baja. RuBisCo fue la proteína más identificada (48% y 82% de las proteínas detectadas para PALMAR y FONAIAP-2000, respectivamente). Otras proteínas identificadas que mostraron variaciones fueron la subunidad beta de la ATPasa, la UDP-glucosa antocianina 5-O-glucosiltransferasa, la proteína de unión al ARN, la supuesta transkelotasa 1, la supuesta ferredoxina-NAPD (H) óxido-reductasa y el supuesto fotosistema II de la proteína que evoluciona el oxígeno de 33 kDa. Con base en nuestros resultados, la respuesta del arroz a R. solani podría describirse donde se requiere energía para inducir una defensa y es suministrada por proteínas involucradas en el metabolismo energético. Según esto, proteomic podría proporcionar información y conocimientos sobre la respuesta del arroz al desafío con R. solani y otros patógenos.Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo2021-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículo revisado por paresapplication/pdfhttps://revistas.unat.edu.pe/index.php/RevTaya/article/view/15610.46908/tayacaja.v4i1.156TAYACAJA; Vol. 4 No. 1 (2021): Revista de Investigación Científica Tayacaja (Enero - Junio); 100 - 113TAYACAJA; Vol. 4 Núm. 1 (2021): Revista de Investigación Científica Tayacaja (Enero - Junio); 100 - 113Tayacaja; Vol. 4 No. 1 (2021): Tayacaja Scientific Research Journal (January - June); 100 - 1132617-9156reponame:Tayacajainstname:Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morilloinstacron:UNATspahttps://revistas.unat.edu.pe/index.php/RevTaya/article/view/156/124Derechos de autor 2021 Fuchs Morela Delgado, Marisol Fernández, Iris Pérez-Almeida https://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.unat.edu.pe:article/1562023-04-11T15:12:35Z |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).