Literature DB >> 25445290

Validation of reference genes for accurate normalization of gene expression for real time-quantitative PCR in strawberry fruits using different cultivars and osmotic stresses.

Vanessa Galli1, Joyce Moura Borowski2, Ellen Cristina Perin2, Rafael da Silva Messias2, Julia Labonde3, Ivan dos Santos Pereira4, Sérgio Delmar Dos Anjos Silva4, Cesar Valmor Rombaldi5.   

Abstract

The increasing demand of strawberry (Fragaria×ananassa Duch) fruits is associated mainly with their sensorial characteristics and the content of antioxidant compounds. Nevertheless, the strawberry production has been hampered due to its sensitivity to abiotic stresses. Therefore, to understand the molecular mechanisms highlighting stress response is of great importance to enable genetic engineering approaches aiming to improve strawberry tolerance. However, the study of expression of genes in strawberry requires the use of suitable reference genes. In the present study, seven traditional and novel candidate reference genes were evaluated for transcript normalization in fruits of ten strawberry cultivars and two abiotic stresses, using RefFinder, which integrates the four major currently available software programs: geNorm, NormFinder, BestKeeper and the comparative delta-Ct method. The results indicate that the expression stability is dependent on the experimental conditions. The candidate reference gene DBP (DNA binding protein) was considered the most suitable to normalize expression data in samples of strawberry cultivars and under drought stress condition, and the candidate reference gene HISTH4 (histone H4) was the most stable under osmotic stresses and salt stress. The traditional genes GAPDH (glyceraldehyde-3-phosphate dehydrogenase) and 18S (18S ribosomal RNA) were considered the most unstable genes in all conditions. The expression of phenylalanine ammonia lyase (PAL) and 9-cis epoxycarotenoid dioxygenase (NCED1) genes were used to further confirm the validated candidate reference genes, showing that the use of an inappropriate reference gene may induce erroneous results. This study is the first survey on the stability of reference genes in strawberry cultivars and osmotic stresses and provides guidelines to obtain more accurate RT-qPCR results for future breeding efforts.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Abiotic stresses; Fragaria×ananassa; RefFinder; Reference genes; Strawberry cultivars

Mesh:

Substances:

Year:  2014        PMID: 25445290     DOI: 10.1016/j.gene.2014.10.049

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  29 in total

1.  Selection of reference genes for quantitative real-time PCR analysis of photosynthesis-related genes expression in Lilium regale.

Authors:  Wenkai Du; Fengrong Hu; Suxia Yuan; Chun Liu
Journal:  Physiol Mol Biol Plants       Date:  2019-09-05

2.  Identification and evaluation of reference genes for reliable normalization of real-time quantitative PCR data in acerola fruit, leaf, and flower.

Authors:  Clesivan Pereira Dos Santos; Kátia Daniella da Cruz Saraiva; Mathias Coelho Batista; Thais Andrade Germano; José Hélio Costa
Journal:  Mol Biol Rep       Date:  2019-11-18       Impact factor: 2.316

3.  Validation of reference genes for RT-qPCR studies in Stevia rebaudiana in response to elicitor agents.

Authors:  Simone Ribeiro Lucho; Marcelo Nogueira do Amaral; Letícia Carvalho Benitez; Cristini Milech; Alitcia Moraes Kleinowski; Valmor João Bianchi; Eugenia Jacira Bolacel Braga
Journal:  Physiol Mol Biol Plants       Date:  2018-07-25

4.  Selection and validation of reference genes for quantitative gene expression analyses in various tissues and seeds at different developmental stages in Bixa orellana L.

Authors:  Viviane S Moreira; Virgínia L F Soares; Raner J S Silva; Aurizangela O Sousa; Wagner C Otoni; Marcio G C Costa
Journal:  Physiol Mol Biol Plants       Date:  2018-04-03

5.  Identification and validation of reference genes for gene expression studies in sweet osmanthus (Osmanthus fragrans) based on transcriptomic sequence data.

Authors:  Hongna Mu; Taoze Sun; Chen Xu; Lianggui Wang; Yuanzheng Yue; Huogen Li; Xiulian Yang
Journal:  J Genet       Date:  2017-06       Impact factor: 1.166

6.  Selection of reliable reference genes for RT-qPCR during methyl jasmonate, salicylic acid and hydrogen peroxide treatments in Ganoderma lucidum.

Authors:  Xiaoxiao Lu; Yongzhi Liu; Linchao Zhao; Yongnan Liu; Mingwen Zhao
Journal:  World J Microbiol Biotechnol       Date:  2018-06-12       Impact factor: 3.312

7.  Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments.

Authors:  Huihui Zhuang; Yanping Fu; Wei He; Lin Wang; Yahui Wei
Journal:  Front Plant Sci       Date:  2015-06-30       Impact factor: 5.753

8.  Identification and Evaluation of Reference Genes for Quantitative Analysis of Brazilian Pine (Araucaria angustifolia Bertol. Kuntze) Gene Expression.

Authors:  Paula Elbl; Bruno V Navarro; Leandro F de Oliveira; Juliana Almeida; Amanda C Mosini; André L W Dos Santos; Magdalena Rossi; Eny I S Floh
Journal:  PLoS One       Date:  2015-08-27       Impact factor: 3.240

9.  Validation of Reference Genes for Accurate Normalization of Gene Expression in Lilium davidii var. unicolor for Real Time Quantitative PCR.

Authors:  XueYan Li; JinYun Cheng; Jing Zhang; Jaime A Teixeira da Silva; ChunXia Wang; HongMei Sun
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

10.  Selection and Validation of Reference Genes for qRT-PCR in Cycas elongata.

Authors:  Yanting Hu; Tian Deng; Letian Chen; Hong Wu; Shouzhou Zhang
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

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