Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i>
- Autores
- Pombo, Marina Alejandra; Zheng, Yi; Fei, Zhangjun; Gregory, Martin B.; Rosli, Hernán
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The agronomical relevant tomato-Pseudomonas syringae pv. tomato pathosystem is widely used to explore and understand the underlying mechanisms of the plant immune response. Transcript abundance estimation, mainly through reverse transcription-quantitative PCR (RT-qPCR), is a common approach employed to investigate the possible role of a candidate gene in certain biological process under study. The accuracy of this technique relies heavily on the selection of adequate reference genes. Initially, genes derived from other techniques (such as Northern blots) were used as reference genes in RT-qPCR experiments, but recent studies in different systems suggest that many of these genes are not stably expressed. The development of high throughput transcriptomic techniques, such as RNA-seq, provides an opportunity for the identification of transcriptionally stable genes that can be adopted as novel and robust reference genes. Here we take advantage of a large set of RNA-seq data originating from tomato leaves infiltrated with different immunity inducers and bacterial strains. We assessed and validated 9 genes that are much more stable than two traditional reference genes. Specifically, ARD2 and VIN3 were the most stably expressed genes and consequently we propose they be adopted for RT-qPCR experiments involving this pathosystem.
Instituto de Fisiología Vegetal - Materia
-
Biología
Botánica
tomato
plant immune response
genes - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/87540
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Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i>Pombo, Marina AlejandraZheng, YiFei, ZhangjunGregory, Martin B.Rosli, HernánBiologíaBotánicatomatoplant immune responsegenesThe agronomical relevant tomato-Pseudomonas syringae pv. tomato pathosystem is widely used to explore and understand the underlying mechanisms of the plant immune response. Transcript abundance estimation, mainly through reverse transcription-quantitative PCR (RT-qPCR), is a common approach employed to investigate the possible role of a candidate gene in certain biological process under study. The accuracy of this technique relies heavily on the selection of adequate reference genes. Initially, genes derived from other techniques (such as Northern blots) were used as reference genes in RT-qPCR experiments, but recent studies in different systems suggest that many of these genes are not stably expressed. The development of high throughput transcriptomic techniques, such as RNA-seq, provides an opportunity for the identification of transcriptionally stable genes that can be adopted as novel and robust reference genes. Here we take advantage of a large set of RNA-seq data originating from tomato leaves infiltrated with different immunity inducers and bacterial strains. We assessed and validated 9 genes that are much more stable than two traditional reference genes. Specifically, ARD2 and VIN3 were the most stably expressed genes and consequently we propose they be adopted for RT-qPCR experiments involving this pathosystem.Instituto de Fisiología Vegetal2017-03-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/87540enginfo:eu-repo/semantics/altIdentifier/issn/2045-2322info:eu-repo/semantics/altIdentifier/doi/10.1038/srep44905info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:49:31Zoai:sedici.unlp.edu.ar:10915/87540Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:49:32.121SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
title |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
spellingShingle |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> Pombo, Marina Alejandra Biología Botánica tomato plant immune response genes |
title_short |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
title_full |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
title_fullStr |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
title_full_unstemmed |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
title_sort |
Use of RNA-seq data to identify and validate RT-qPCR reference genes for studying the tomato-<i>Pseudomonas pathosystem</i> |
dc.creator.none.fl_str_mv |
Pombo, Marina Alejandra Zheng, Yi Fei, Zhangjun Gregory, Martin B. Rosli, Hernán |
author |
Pombo, Marina Alejandra |
author_facet |
Pombo, Marina Alejandra Zheng, Yi Fei, Zhangjun Gregory, Martin B. Rosli, Hernán |
author_role |
author |
author2 |
Zheng, Yi Fei, Zhangjun Gregory, Martin B. Rosli, Hernán |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Biología Botánica tomato plant immune response genes |
topic |
Biología Botánica tomato plant immune response genes |
dc.description.none.fl_txt_mv |
The agronomical relevant tomato-Pseudomonas syringae pv. tomato pathosystem is widely used to explore and understand the underlying mechanisms of the plant immune response. Transcript abundance estimation, mainly through reverse transcription-quantitative PCR (RT-qPCR), is a common approach employed to investigate the possible role of a candidate gene in certain biological process under study. The accuracy of this technique relies heavily on the selection of adequate reference genes. Initially, genes derived from other techniques (such as Northern blots) were used as reference genes in RT-qPCR experiments, but recent studies in different systems suggest that many of these genes are not stably expressed. The development of high throughput transcriptomic techniques, such as RNA-seq, provides an opportunity for the identification of transcriptionally stable genes that can be adopted as novel and robust reference genes. Here we take advantage of a large set of RNA-seq data originating from tomato leaves infiltrated with different immunity inducers and bacterial strains. We assessed and validated 9 genes that are much more stable than two traditional reference genes. Specifically, ARD2 and VIN3 were the most stably expressed genes and consequently we propose they be adopted for RT-qPCR experiments involving this pathosystem. Instituto de Fisiología Vegetal |
description |
The agronomical relevant tomato-Pseudomonas syringae pv. tomato pathosystem is widely used to explore and understand the underlying mechanisms of the plant immune response. Transcript abundance estimation, mainly through reverse transcription-quantitative PCR (RT-qPCR), is a common approach employed to investigate the possible role of a candidate gene in certain biological process under study. The accuracy of this technique relies heavily on the selection of adequate reference genes. Initially, genes derived from other techniques (such as Northern blots) were used as reference genes in RT-qPCR experiments, but recent studies in different systems suggest that many of these genes are not stably expressed. The development of high throughput transcriptomic techniques, such as RNA-seq, provides an opportunity for the identification of transcriptionally stable genes that can be adopted as novel and robust reference genes. Here we take advantage of a large set of RNA-seq data originating from tomato leaves infiltrated with different immunity inducers and bacterial strains. We assessed and validated 9 genes that are much more stable than two traditional reference genes. Specifically, ARD2 and VIN3 were the most stably expressed genes and consequently we propose they be adopted for RT-qPCR experiments involving this pathosystem. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03-20 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/87540 |
url |
http://sedici.unlp.edu.ar/handle/10915/87540 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/2045-2322 info:eu-repo/semantics/altIdentifier/doi/10.1038/srep44905 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Universidad Nacional de La Plata |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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