Identification of reference genes for expression analysis by real‑time quantitative PCR in drought‑stressed soybean

Authors

  • Eliana Gertrudes de Macedo Lemos UNESP
  • Ricardo Vilela Abdelnoor Embrapa Soja
  • Magda Aparecida Beneventi Cenargen
  • Amanda Alves Paiva Rolla UEL
  • Selma dos Santos Pereira Unesp
  • Maria Cristina Neves de Oliveira Embrapa Soja
  • Alexandre Lima Nepomuceno Embrapa Soja
  • Francismar Corrêa Marcelino-Guimarães Embrapa Soja

DOI:

https://doi.org/10.1590/S1678-3921.pab2011.v46.8434

Keywords:

Glycine max, expression stability, RT-qPCR, water deficit

Abstract

The objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: Gmβ‑actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the Gmβ‑actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.

Author Biographies

  • Eliana Gertrudes de Macedo Lemos, UNESP
    Professora titular de bioquímica, departamento de tecnologia, Unesp-Jaboticabal/SP
  • Ricardo Vilela Abdelnoor, Embrapa Soja
    Engenheiro Agrônomo, pesquisador na área de Genética e Melhoramento de Plantas, Embrapa Soja
  • Magda Aparecida Beneventi, Cenargen
    Bióloga, mestrado e doutorado em Biologia Molecular.
  • Amanda Alves Paiva Rolla, UEL
    Bióloga, mestrado em Biologia Molecular, Doutorando em Biologia Molecular UEL/PR
  • Selma dos Santos Pereira, Unesp
    Bióloga, mestrado em biologia molecular e doutorando em genética e melhoramento, UNESP-Jaboticabal/SP
  • Maria Cristina Neves de Oliveira, Embrapa Soja
    Pesquisadora da área de estatística da Embrapa Soja
  • Alexandre Lima Nepomuceno, Embrapa Soja
    Engenheiro Agrônomo, Mestrado em Fisiologia Vegetal e Doutorado em Biologia molecular. Pesquisador da área de Biologia Molecular/Ecofisiologia da Embrapa Soja
  • Francismar Corrêa Marcelino-Guimarães, Embrapa Soja

    Bióloga, mestrado e doutorado em Genética e Melhoramento pela Universidade Federal de Viçosa. Pesquisadora na Embrapa Soja desde 2007, na Área de Genética Molecular de Plantas.

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Published

2011-03-23

Issue

Section

GENETICS

How to Cite

de Macedo Lemos, E. G., Abdelnoor, R. V., Beneventi, M. A., Paiva Rolla, A. A., Pereira, S. dos S., de Oliveira, M. C. N., Nepomuceno, A. L., & Marcelino-Guimarães, F. C. (2011). Identification of reference genes for expression analysis by real‑time quantitative PCR in drought‑stressed soybean. Pesquisa Agropecuaria Brasileira, 46(1), 58-65. https://doi.org/10.1590/S1678-3921.pab2011.v46.8434

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