Validation of reference genes aiming accurate normalization of qPCR data in soybean upon nematode parasitism and insect attack

Author:

Miranda Vívian de Jesus,Coelho Roberta Ramos,Viana Antônio Américo Barbosa,de Oliveira Neto Osmundo Brilhante,Carneiro Regina Maria Dechechi Gomes,Rocha Thales Lima,Grossi de Sa Maria Fatima,Fragoso Rodrigo Rocha

Abstract

Abstract Background Soybean pathogens and pests reduce grain production worldwide. Biotic interaction cause extensive changes in plant gene expression profile and the data produced by functional genomics studies need validation, usually done by quantitative PCR. Nevertheless, this technique relies on accurate normalization which, in turn, depends upon the proper selection of stable reference genes for each experimental condition. To date, only a few studies were performed to validate reference genes in soybean subjected to biotic stress. Here, we report reference genes validation in soybean during root-knot nematode (Meloidogyne incognita) parasitism and velvetbean caterpillar (Anticarsia gemmatalis) attack. Findings The expression stability of nine classical reference genes (GmCYP2, GmELF1A, GmELF1B, GmACT11, GmTUB, GmTUA5, GmG6PD, GmUBC2 and GmUBC4) was evaluated using twenty-four experimental samples including different organs, developmental stages, roots infected with M. incognita and leaves attacked by A. gemmatalis. Two different algorithms (geNorm and NormFinder) were used to determine expression stability. GmCYP2 and GmUBC4 are the most stable in different organs. Considering the developmental stages, GmELF1A and GmELF1B genes are the most stable. For spatial and temporal gene expression studies, normalization may be performed using GmUBC4, GmUBC2, GmCYP2 and GmACT11 as reference genes. Our data indicate that both GmELF1A and GmTUA5 are the most stable reference genes for data normalization obtained from soybean roots infected with M. incognita, and GmCYP2 and GmELF1A are the most stable in soybean leaves infested with A. gemmatalis. Conclusions Future expression studies using nematode infection and caterpilar infestation in soybean plant may utilize the reference gene sets reported here.

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference33 articles.

1. Sudaric A, Vrataric M, Drinic SM, Matosa M: Biotechnology in soybean breeding. Genetika. 2010, 42: 91-102. 10.2298/GENSR1001091S.

2. Dwevedi A, Kayastha AM: Soybean: a multifaceted legume with enormous economic capabilities. Soyben - biochemistry, chemistry and physiology. Edited by: Ng T-B. 2011, India: InTech, 177-197.

3. Koc AB, Abdullah M, Fereidouni M: Soybean processing for biodiesel production. Soybean - application and technology. Edited by: Ng T-B. 2011, United States: InTech, 19-32.

4. Grossi-de-Sá MF, Pelegrini PB, Fragoso RR: Genetically modified soybean for insect-pest and disease control. Soybean - molecular aspects of breeding. Volume 4. Edited by: Sudaric A. 2011, Brazil: InTech, 429-452. 1

5. Macedo MLR, Freire Md GM, Kubo CEG, Parra JRP: Bioinsecticidal activity of talisia esculenta reserve protein on growth and serine digestive enzymes during larval development of anticarsia gemmatalis. Comp Biochem Physiol C Toxicol Pharmacol. 2011, 153: 24-33. 10.1016/j.cbpc.2010.08.001.

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