Cargando…

Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance

BACKGROUND: Quantitative reverse transcription PCR (qRT-PCR) has been routinely used to quantify gene expression level. This technique determines the expression of a target gene by comparison to an internal control gene uniformly expressed among the samples analyzed. The reproducibility and reliabil...

Descripción completa

Detalles Bibliográficos
Autores principales: Pabuayon, Isaiah M., Yamamoto, Naoki, Trinidad, Jennylyn L., Longkumer, Toshisangba, Raorane, Manish L., Kohli, Ajay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949181/
https://www.ncbi.nlm.nih.gov/pubmed/27432349
http://dx.doi.org/10.1186/s12284-016-0104-7
_version_ 1782443378707791872
author Pabuayon, Isaiah M.
Yamamoto, Naoki
Trinidad, Jennylyn L.
Longkumer, Toshisangba
Raorane, Manish L.
Kohli, Ajay
author_facet Pabuayon, Isaiah M.
Yamamoto, Naoki
Trinidad, Jennylyn L.
Longkumer, Toshisangba
Raorane, Manish L.
Kohli, Ajay
author_sort Pabuayon, Isaiah M.
collection PubMed
description BACKGROUND: Quantitative reverse transcription PCR (qRT-PCR) has been routinely used to quantify gene expression level. This technique determines the expression of a target gene by comparison to an internal control gene uniformly expressed among the samples analyzed. The reproducibility and reliability of the results depend heavily on the reference genes used. To achieve successful gene expression analyses for drought tolerance studies in rice, reference gene selection should be based on consistency in expression across variables. We aimed to provide reference genes that would be consistent across different tissues, developmental stages and genotypes of rice and hence improve the quality of data in qRT-PCR analysis. FINDINGS: Ten candidate reference genes were screened from four ubiquitously expressed gene families by analyzing public microarray data sets that included profiles of multiple organs, developmental stages, and water availability status in rice. These genes were evaluated through qRT-PCR experiments with a rigorous statistical analysis to determine the best reference genes. A ubiquitin isogene showed the best gene expression stability as a single reference gene, while a 3-gene combination of another ubiquitin and two cyclophilin isogenes was the best reference gene combination. Comparison between the qRT-PCR and in-house microarray data on roots demonstrated reliability of the identified reference genes to monitor the differential expression of drought-related candidate genes. CONCLUSIONS: Specific isogenes from among the regularly used gene families were identified for use in qRT-PCR-based analyses for gene expression in studies on drought tolerance in rice. These were stable across variables of treatment, genotype, tissue and growth stage. A single gene and/or a three gene set analysis is recommended, based on the resources available. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-016-0104-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4949181
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-49491812016-07-29 Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance Pabuayon, Isaiah M. Yamamoto, Naoki Trinidad, Jennylyn L. Longkumer, Toshisangba Raorane, Manish L. Kohli, Ajay Rice (N Y) Short Communication BACKGROUND: Quantitative reverse transcription PCR (qRT-PCR) has been routinely used to quantify gene expression level. This technique determines the expression of a target gene by comparison to an internal control gene uniformly expressed among the samples analyzed. The reproducibility and reliability of the results depend heavily on the reference genes used. To achieve successful gene expression analyses for drought tolerance studies in rice, reference gene selection should be based on consistency in expression across variables. We aimed to provide reference genes that would be consistent across different tissues, developmental stages and genotypes of rice and hence improve the quality of data in qRT-PCR analysis. FINDINGS: Ten candidate reference genes were screened from four ubiquitously expressed gene families by analyzing public microarray data sets that included profiles of multiple organs, developmental stages, and water availability status in rice. These genes were evaluated through qRT-PCR experiments with a rigorous statistical analysis to determine the best reference genes. A ubiquitin isogene showed the best gene expression stability as a single reference gene, while a 3-gene combination of another ubiquitin and two cyclophilin isogenes was the best reference gene combination. Comparison between the qRT-PCR and in-house microarray data on roots demonstrated reliability of the identified reference genes to monitor the differential expression of drought-related candidate genes. CONCLUSIONS: Specific isogenes from among the regularly used gene families were identified for use in qRT-PCR-based analyses for gene expression in studies on drought tolerance in rice. These were stable across variables of treatment, genotype, tissue and growth stage. A single gene and/or a three gene set analysis is recommended, based on the resources available. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-016-0104-7) contains supplementary material, which is available to authorized users. Springer US 2016-07-18 /pmc/articles/PMC4949181/ /pubmed/27432349 http://dx.doi.org/10.1186/s12284-016-0104-7 Text en © Pabuayon et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Short Communication
Pabuayon, Isaiah M.
Yamamoto, Naoki
Trinidad, Jennylyn L.
Longkumer, Toshisangba
Raorane, Manish L.
Kohli, Ajay
Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title_full Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title_fullStr Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title_full_unstemmed Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title_short Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
title_sort reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949181/
https://www.ncbi.nlm.nih.gov/pubmed/27432349
http://dx.doi.org/10.1186/s12284-016-0104-7
work_keys_str_mv AT pabuayonisaiahm referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance
AT yamamotonaoki referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance
AT trinidadjennylynl referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance
AT longkumertoshisangba referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance
AT raoranemanishl referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance
AT kohliajay referencegenesforaccurategeneexpressionanalysesacrossdifferenttissuesdevelopmentalstagesandgenotypesinricefordroughttolerance