Literature DB >> 26874621

Reference gene selection for quantitative real-time PCR in Solanum lycopersicum L. inoculated with the mycorrhizal fungus Rhizophagus irregularis.

Alejandra Fuentes1, Javier Ortiz2, Nicolás Saavedra3, Luis A Salazar3, Claudio Meneses4, Cesar Arriagada5.   

Abstract

The gene expression stability of candidate reference genes in the roots and leaves of Solanum lycopersicum inoculated with arbuscular mycorrhizal fungi was investigated. Eight candidate reference genes including elongation factor 1 α (EF1), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), phosphoglycerate kinase (PGK), protein phosphatase 2A (PP2Acs), ribosomal protein L2 (RPL2), β-tubulin (TUB), ubiquitin (UBI) and actin (ACT) were selected, and their expression stability was assessed to determine the most stable internal reference for quantitative PCR normalization in S. lycopersicum inoculated with the arbuscular mycorrhizal fungus Rhizophagus irregularis. The stability of each gene was analysed in leaves and roots together and separated using the geNorm and NormFinder algorithms. Differences were detected between leaves and roots, varying among the best-ranked genes depending on the algorithm used and the tissue analysed. PGK, TUB and EF1 genes showed higher stability in roots, while EF1 and UBI had higher stability in leaves. Statistical algorithms indicated that the GAPDH gene was the least stable under the experimental conditions assayed. Then, we analysed the expression levels of the LePT4 gene, a phosphate transporter whose expression is induced by fungal colonization in host plant roots. No differences were observed when the most stable genes were used as reference genes. However, when GAPDH was used as the reference gene, we observed an overestimation of LePT4 expression. In summary, our results revealed that candidate reference genes present variable stability in S. lycopersicum arbuscular mycorrhizal symbiosis depending on the algorithm and tissue analysed. Thus, reference gene selection is an important issue for obtaining reliable results in gene expression quantification.
Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Arbuscular mycorrhizal fungi; Reference genes; qPCR

Mesh:

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Year:  2016        PMID: 26874621     DOI: 10.1016/j.plaphy.2016.01.022

Source DB:  PubMed          Journal:  Plant Physiol Biochem        ISSN: 0981-9428            Impact factor:   4.270


  8 in total

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Authors:  Greecy M R Albuquerque; Fernando C A Fonseca; Leonardo S Boiteux; Rafaela C F Borges; Robert N G Miller; Carlos A Lopes; Elineide B Souza; Maria Esther N Fonseca
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

5.  Synergism between Streptomyces viridosporus HH1 and Rhizophagus irregularis Effectively Induces Defense Responses to Fusarium Wilt of Pea and Improves Plant Growth and Yield.

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Journal:  J Fungi (Basel)       Date:  2022-06-28

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7.  Reference Gene Selection for Quantitative Real-Time PCR of Mycelia from Lentinula edodes under High-Temperature Stress.

Authors:  Xu Zhao; Huanling Yang; Mingjie Chen; Xiaoxia Song; Changxia Yu; Yan Zhao; Yuejin Wu
Journal:  Biomed Res Int       Date:  2018-06-11       Impact factor: 3.411

8.  Ascophyllum nodosum Extract and Mycorrhizal Colonization Synergistically Trigger Immune Responses in Pea Plants against Rhizoctonia Root Rot, and Enhance Plant Growth and Productivity.

Authors:  Younes M Rashad; Hany H A El-Sharkawy; Nahla T Elazab
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  8 in total

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