Literature DB >> 24615050

Reference genes for quantitative real-time polymerase chain reaction studies in soybean plants under hypoxic conditions.

T J Nakayama1, F A Rodrigues1, N Neumaier1, F C Marcelino-Guimarães1, J R B Farias1, M C N de Oliveira1, A Borém2, A C B de Oliveira3, B M Emygdio3, A L Nepomuceno4.   

Abstract

Quantitative real-time polymerase chain reaction (RT-qPCR) is a powerful tool used to measure gene expression. However, because of its high sensitivity, the method is strongly influenced by the quality and concentration of the template cDNA and by the amplification efficiency. Relative quantification is an effective strategy for correcting random and systematic errors by using the expression level of reference gene(s) to normalize the expression level of the genes of interest. To identify soybean reference genes for use in studies of flooding stress, we compared 5 candidate reference genes (CRGs) with the NormFinder and GeNorm programs to select the best internal control. The expression stability of the CRGs was evaluated in root tissues from soybean plants subjected to hypoxic conditions. Elongation factor 1-beta and actin-11 were identified as the most appropriate genes for RT-qPCR normalization by both the NormFinder and GeNorm analyses. The expression profiles of the genes for alcohol dehydrogenase 1, sucrose synthase 4, and ascorbate peroxidase 2 were analyzed by comparing different normalizing combinations (including no normalization) of the selected reference genes. Here, we have identified potential genes for use as references for RT-qPCR normalization in experiments with soybean roots growing in O2-depleted environments, such as flooding-stressed plants.

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Year:  2014        PMID: 24615050     DOI: 10.4238/2014.February.13.4

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  11 in total

1.  Prioritization and Evaluation of Flooding Tolerance Genes in Soybean [Glycine max (L.) Merr.].

Authors:  Mu-Chien Lai; Zheng-Yuan Lai; Li-Hsin Jhan; Ya-Syuan Lai; Chung-Feng Kao
Journal:  Front Genet       Date:  2021-01-27       Impact factor: 4.599

2.  Identification and validation of reference genes for qRT-PCR based studies in horse gram (Macrotyloma uniflorum).

Authors:  Ragini Sinha; Meenu Bala; Pragya Prabha; Alok Ranjan; Rakesh K Chahota; Tilak Raj Sharma; Anil Kumar Singh
Journal:  Physiol Mol Biol Plants       Date:  2021-11-29

3.  A high efficient protocol for soybean root transformation by Agrobacterium rhizogenes and most stable reference genes for RT-qPCR analysis.

Authors:  K M Kuma; V S Lopes-Caitar; C C T Romero; S M H Silva; M K Kuwahara; M C C G Carvalho; R V Abdelnoor; W P Dias; F C Marcelino-Guimarães
Journal:  Plant Cell Rep       Date:  2015-08-01       Impact factor: 4.570

4.  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

5.  Identification and Validation of Reference Genes and Their Impact on Normalized Gene Expression Studies across Cultivated and Wild Cicer Species.

Authors:  Dumbala Srinivas Reddy; Pooja Bhatnagar-Mathur; Palakolanu Sudhakar Reddy; Katamreddy Sri Cindhuri; Adusumalli Sivaji Ganesh; Kiran Kumar Sharma
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

6.  Selection and validation of appropriate reference genes for quantitative real-time PCR analysis in Salvia hispanica.

Authors:  Rahul Gopalam; Sunny D Rupwate; Ajay W Tumaney
Journal:  PLoS One       Date:  2017-11-01       Impact factor: 3.240

7.  Insights into soybean transcriptome reconfiguration under hypoxic stress: Functional, regulatory, structural, and compositional characterization.

Authors:  Thiago J Nakayama; Fabiana A Rodrigues; Norman Neumaier; Juliana Marcolino-Gomes; Hugo B C Molinari; Thaís R Santiago; Eduardo F Formighieri; Marcos F Basso; José R B Farias; Beatriz M Emygdio; Ana C B de Oliveira; Ângela D Campos; Aluízio Borém; Frank G Harmon; Liliane M Mertz-Henning; Alexandre L Nepomuceno
Journal:  PLoS One       Date:  2017-11-16       Impact factor: 3.240

8.  Transcriptome-Wide Identification of Reference Genes for Expression Analysis of Soybean Responses to Drought Stress along the Day.

Authors:  Juliana Marcolino-Gomes; Fabiana Aparecida Rodrigues; Renata Fuganti-Pagliarini; Thiago Jonas Nakayama; Rafaela Ribeiro Reis; Jose Renato Bouças Farias; Frank G Harmon; Hugo Bruno Correa Molinari; Mayla Daiane Correa Molinari; Alexandre Nepomuceno
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

9.  Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization.

Authors:  Palakolanu Sudhakar Reddy; Dumbala Srinivas Reddy; Kaliamoorthy Sivasakthi; Pooja Bhatnagar-Mathur; Vincent Vadez; Kiran K Sharma
Journal:  Front Plant Sci       Date:  2016-04-25       Impact factor: 5.753

10.  Identification and Validation of Reference Genes for RT-qPCR Analysis in Switchgrass under Heavy Metal Stresses.

Authors:  Junming Zhao; Man Zhou; Yu Meng
Journal:  Genes (Basel)       Date:  2020-05-03       Impact factor: 4.096

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