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dc.contributor.author
Ochogavía, Ana Claudia
dc.contributor.author
Novello, Maria Angelina
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Picardi, Liliana Amelia
dc.contributor.author
Nestares, Graciela María
dc.date.available
2018-07-27T17:11:39Z
dc.date.issued
2017-07
dc.identifier.citation
Ochogavía, Ana Claudia; Novello, Maria Angelina; Picardi, Liliana Amelia; Nestares, Graciela María; Identification of suitable reference genes by quantitative real-time PCR for gene expression normalization in sunflower; Southern Cross Publishing; Plant Omics; 10; 4; 7-2017; 210-218
dc.identifier.issn
1836-3644
dc.identifier.uri
http://hdl.handle.net/11336/53300
dc.description.abstract
Quantitative real-time PCR (qPCR) is currently the most accurate method for detecting differential gene expression, but depends greatly on normalization to stably expressed housekeeping genes. Transcriptomics analyses and experimental validation in different plant species have shown that the reliability of these endogenous controls can be influenced by the plant species, growth conditions and organs/tissues examined. Thus, reliable validation of reference genes is required to ensure proper normalization. This paper presents a systematic comparison of ten potential reference genes in sunflower: five commonly used genes (Actin, Elongation Factor1, Plastid-encode RNA polymerase, Tubulin, and Ubiquitin, as ACT, EF1, PEP, TUB, and UBQ respectively), as well as five new candidates (Translation initiation factor, MicroRNA precursors 171 and 156, Ask-interacting protein, and Protein of unknown function, as ETIF5, MIR171, MIR156, SKIP, and UNK2 respectively). Reference gene expression stability was examined by qPCR across 20 biological samples, representing different tissues at various developmental stages. Expression of all 10 genes was variable to some extent, but that of ACT, UNK2, and EF1 was overall the most stable. A combination of ETIF5/UNK2/EF1 would be appropriate to use as a reference panel for normalizing gene expression data among vegetative tissues, whereas the combination of ACT/MIR156/UNK2 is most suitable for reproductive tissues. Reference genes selected in this study were further validated by examining relative expression of ahas1, one of three acetohydroxyacid synthase genes of sunflower. Our identification and validation of suitable normalizer genes will be of use to ensure accurate results in future transcriptomics studies in this crop.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Southern Cross Publishing
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Helianthus Annuus L.
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Qpcr
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Reference Genes Panel
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Stably Expressed Genes
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Unk2
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Otras Ciencias Biológicas
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Identification of suitable reference genes by quantitative real-time PCR for gene expression normalization in sunflower
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-26T14:01:01Z
dc.journal.volume
10
dc.journal.number
4
dc.journal.pagination
210-218
dc.journal.pais
Australia
dc.journal.ciudad
Lismore
dc.description.fil
Fil: Ochogavía, Ana Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
dc.description.fil
Fil: Novello, Maria Angelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
dc.description.fil
Fil: Picardi, Liliana Amelia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Consejo de Investigaciones de la Universidad Nacional de Rosario; Argentina
dc.description.fil
Fil: Nestares, Graciela María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
dc.journal.title
Plant Omics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.21475/poj.10.04.17.pne831
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.pomics.com/ochogavia_10_4_2017_210_218.pdf
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