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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/87540

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling 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 reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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