Evidence map›Paper›PMID 27432349›Full record

ArticleRice (New York, N.Y.)2016

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

Isaiah M Pabuayon, Naoki Yamamoto, Jennylyn L Trinidad, Toshisangba Longkumer, Manish L Raorane, Ajay Kohli

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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26citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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  5. Identification and validation of reference genes in vetiver (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Isaiah M PabuayonGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines.
Naoki YamamotoGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines. n.yamamoto@irri.org.
Jennylyn L TrinidadGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines.
Toshisangba LongkumerGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines.
Manish L RaoraneGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines.
Ajay KohliGenetics & Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, 1301, Philippines. a.kohli@irri.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative 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.

findingsTen 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.

conclusionsSpecific 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.

Indexed as

DroughtGene expressionqRT-PCRReference geneRiceTranscriptome

Identifiers

PMID27432349
PMCPMC4949181

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.