Identification of genes related to drought in native potatoes using RNA-Seq
Descripción del Articulo
The recent advent RNA sequencing technology (RNA-Seq), a massively parallel sequencing method for transcriptome analysis, provides an opportunity to understand the expression profile of plants in response to biotic and abiotic stress. In this study, the mRNA was sequencing from leaves and roots of t...
Autores: | , , , |
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Formato: | artículo |
Fecha de Publicación: | 2013 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revista UNMSM - Revista Peruana de Biología |
Lenguaje: | español |
OAI Identifier: | oai:ojs.csi.unmsm:article/5208 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/5208 |
Nivel de acceso: | acceso abierto |
Materia: | RNA-Seq transcriptome drought potato mRNA. transcriptoma sequía papa mRNA. Abstract |
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Identification of genes related to drought in native potatoes using RNA-SeqIdentificación de genes relacionados a sequía en papas nativas empleando RNA-SeqTorres, YerisfLozano, RobertoMerino, CarlosOrjeda, GisellaRNA-SeqtranscriptomedroughtpotatomRNA.RNA-SeqtranscriptomasequíapapamRNA. AbstractThe recent advent RNA sequencing technology (RNA-Seq), a massively parallel sequencing method for transcriptome analysis, provides an opportunity to understand the expression profile of plants in response to biotic and abiotic stress. In this study, the mRNA was sequencing from leaves and roots of two native potato varieties at different levels of drought. Fifty-base-pair reads from whole mRNAs were mapped to the potato genomic sequence: 75 – 82% mapped uniquely to the genome, 6 – 14% mapped to several locations in the genome and 9 – 12% had no match in the genome. Comparing expression profiles, 887 to 1925 genes were found to be induced/repressed by drought in the sensible variety and 998 to 1995 in the tolerant. This research provides valuable information for future studies and deeper understanding of the molecular mechanism of drought resistance in potato and related species.El reciente desarrollo del RNA-Seq, un método de secuenciamiento masivo en paralelo para el análisis de transcriptomas permite conocer el perfil de expresión de las plantas en respuesta a estrés de tipo abiótico y biótico. En este estudio, se secuenció el mRNA proveniente de hojas y raíces de dos variedades de papas nativas expuestas a diferentes niveles de sequía. Lecturas o readsde 50 pares de bases provenientes de mRNA se mapearon al genoma de papa: 75 – 82% mapearon a posiciones únicas, 6 – 14% mapearon a múltiples posiciones y 9 – 12% no mapearon a posición alguna del genoma. Comparando los perfiles de expresión, se encontraron entre 887 – 1925 genes inducidos/reprimidos por sequía en la variedad sensible y 998 – 1995 en la tolerante. Este estudio generó información de gran valor que podrá ser utilizada en futuros estudios para comprender mejor los mecanismos moleculares de resistencia a sequía en papa y especies cercanas.Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas2013-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/520810.15381/rpb.v20i3.5208Revista Peruana de Biología; Vol 20 No 3 (2013); 211 - 214Revista Peruana de Biología; Vol. 20 Núm. 3 (2013); 211 - 2141727-99331561-0837reponame:Revista UNMSM - Revista Peruana de Biologíainstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/5208/4380Derechos de autor 2013 Yerisf Torres, Roberto Lozano, Carlos Merino, Gisella Orjedahttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccess2021-06-01T17:48:26Zmail@mail.com - |
dc.title.none.fl_str_mv |
Identification of genes related to drought in native potatoes using RNA-Seq Identificación de genes relacionados a sequía en papas nativas empleando RNA-Seq |
title |
Identification of genes related to drought in native potatoes using RNA-Seq |
spellingShingle |
Identification of genes related to drought in native potatoes using RNA-Seq Torres, Yerisf RNA-Seq transcriptome drought potato mRNA. RNA-Seq transcriptoma sequía papa mRNA. Abstract |
title_short |
Identification of genes related to drought in native potatoes using RNA-Seq |
title_full |
Identification of genes related to drought in native potatoes using RNA-Seq |
title_fullStr |
Identification of genes related to drought in native potatoes using RNA-Seq |
title_full_unstemmed |
Identification of genes related to drought in native potatoes using RNA-Seq |
title_sort |
Identification of genes related to drought in native potatoes using RNA-Seq |
dc.creator.none.fl_str_mv |
Torres, Yerisf Lozano, Roberto Merino, Carlos Orjeda, Gisella |
author |
Torres, Yerisf |
author_facet |
Torres, Yerisf Lozano, Roberto Merino, Carlos Orjeda, Gisella |
author_role |
author |
author2 |
Lozano, Roberto Merino, Carlos Orjeda, Gisella |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
RNA-Seq transcriptome drought potato mRNA. RNA-Seq transcriptoma sequía papa mRNA. Abstract |
topic |
RNA-Seq transcriptome drought potato mRNA. RNA-Seq transcriptoma sequía papa mRNA. Abstract |
dc.description.none.fl_txt_mv |
The recent advent RNA sequencing technology (RNA-Seq), a massively parallel sequencing method for transcriptome analysis, provides an opportunity to understand the expression profile of plants in response to biotic and abiotic stress. In this study, the mRNA was sequencing from leaves and roots of two native potato varieties at different levels of drought. Fifty-base-pair reads from whole mRNAs were mapped to the potato genomic sequence: 75 – 82% mapped uniquely to the genome, 6 – 14% mapped to several locations in the genome and 9 – 12% had no match in the genome. Comparing expression profiles, 887 to 1925 genes were found to be induced/repressed by drought in the sensible variety and 998 to 1995 in the tolerant. This research provides valuable information for future studies and deeper understanding of the molecular mechanism of drought resistance in potato and related species. El reciente desarrollo del RNA-Seq, un método de secuenciamiento masivo en paralelo para el análisis de transcriptomas permite conocer el perfil de expresión de las plantas en respuesta a estrés de tipo abiótico y biótico. En este estudio, se secuenció el mRNA proveniente de hojas y raíces de dos variedades de papas nativas expuestas a diferentes niveles de sequía. Lecturas o readsde 50 pares de bases provenientes de mRNA se mapearon al genoma de papa: 75 – 82% mapearon a posiciones únicas, 6 – 14% mapearon a múltiples posiciones y 9 – 12% no mapearon a posición alguna del genoma. Comparando los perfiles de expresión, se encontraron entre 887 – 1925 genes inducidos/reprimidos por sequía en la variedad sensible y 998 – 1995 en la tolerante. Este estudio generó información de gran valor que podrá ser utilizada en futuros estudios para comprender mejor los mecanismos moleculares de resistencia a sequía en papa y especies cercanas. |
description |
The recent advent RNA sequencing technology (RNA-Seq), a massively parallel sequencing method for transcriptome analysis, provides an opportunity to understand the expression profile of plants in response to biotic and abiotic stress. In this study, the mRNA was sequencing from leaves and roots of two native potato varieties at different levels of drought. Fifty-base-pair reads from whole mRNAs were mapped to the potato genomic sequence: 75 – 82% mapped uniquely to the genome, 6 – 14% mapped to several locations in the genome and 9 – 12% had no match in the genome. Comparing expression profiles, 887 to 1925 genes were found to be induced/repressed by drought in the sensible variety and 998 to 1995 in the tolerant. This research provides valuable information for future studies and deeper understanding of the molecular mechanism of drought resistance in potato and related species. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-30 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/5208 10.15381/rpb.v20i3.5208 |
url |
https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/5208 |
identifier_str_mv |
10.15381/rpb.v20i3.5208 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/5208/4380 |
dc.rights.none.fl_str_mv |
Derechos de autor 2013 Yerisf Torres, Roberto Lozano, Carlos Merino, Gisella Orjeda http://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2013 Yerisf Torres, Roberto Lozano, Carlos Merino, Gisella Orjeda http://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas |
publisher.none.fl_str_mv |
Universidad Nacional Mayor de San Marcos, Facultad de Ciencias Biológicas |
dc.source.none.fl_str_mv |
Revista Peruana de Biología; Vol 20 No 3 (2013); 211 - 214 Revista Peruana de Biología; Vol. 20 Núm. 3 (2013); 211 - 214 1727-9933 1561-0837 reponame:Revista UNMSM - Revista Peruana de Biología instname:Universidad Nacional Mayor de San Marcos instacron:UNMSM |
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Revista UNMSM - Revista Peruana de Biología |
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Revista UNMSM - Revista Peruana de Biología |
instname_str |
Universidad Nacional Mayor de San Marcos |
instacron_str |
UNMSM |
institution |
UNMSM |
repository.name.fl_str_mv |
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|
repository.mail.fl_str_mv |
mail@mail.com |
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13.754011 |
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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).