Evidence map›Paper›PMID 23024595›Full record

ArticleMolecular breeding : new strategies in plant improvement2012

Selection and validation of reference genes for quantitative RT-PCR expression studies of the non-model crop Musa.

Nancy Podevin, An Krauss, Isabelle Henry, Rony Swennen, Serge Remy

Abstract read
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Article in Molecular breeding : new strategies in plant improvement, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

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43citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Article
  2. Draft Genome Assembly and Differential Expression ofPlants (Basel, Switzerland) · 2026
    Article
  3. Article
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  6. Expression of Genes Involved in Banana (Current issues in molecular biology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nancy PodevinLaboratory of Tropical Crop Improvement, Department of Biosystems, Faculty of Bioscience Engineering, K.U. Leuven, Kasteelpark Arenberg 13, 3001 Leuven, Belgium ; European Food Safety Authority (EFSA), Largo N. Palli 5/A, 43121 Parma, Italy.
An Krauss
Isabelle Henry
Rony Swennen
Serge Remy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression analysis by reverse transcriptase real-time or quantitative polymerase chain reaction (RT-qPCR) is becoming widely used for non-model plant species. Given the high sensitivity of this method, normalization using multiple housekeeping or reference genes is critical, and careful selection of these reference genes is one of the most important steps to obtain reliable results. In this study, reference genes commonly used for other plant species were investigated to identify genes displaying highly uniform expression patterns in different varieties, tissues, developmental stages, fungal infection, and osmotic stress conditions for the non-model crop Musa (banana and plantains). The expression stability of six candidate reference genes was tested on six different sample sets, and the results were analyzed using the publicly available algorithms geNorm and NormFinder. Our results show that variety, plant material, primer set, and gene identity can all influence the robustness and outcome of RT-qPCR analysis. In the case of Musa, a combination of three reference genes (EF1, TUB and ACT) can be used for normalization of gene expression data from greenhouse leaf samples. In the case of shoot meristem cultures, numerous combinations can be used because the investigated reference genes exhibited limited variability. In contrast, variability in expression of the reference genes was much larger among leaf samples from plants grown in vitro, for which the best combination of reference genes (L2 and ACT genes) is still suboptimal. Overall, our data confirm that the stability of candidate reference genes should be thoroughly investigated for each experimental condition under investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-012-9711-1) contains supplementary material, which is available to authorized users.

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PMID23024595
PMCPMC3460175

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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.