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

Accurate and reliable gene expression data from qPCR depends on stable reference gene expression for potential gene functional analyses. In this study, 15 reference genes were selected and analyzed in various sample sets including abiotic stress treatments (salt, cold, water stress, heat, and abscis...

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Autores principales: Sudhakar Reddy, Palakolanu, Srinivas Reddy, Dumbala, Sivasakthi, Kaliamoorthy, Bhatnagar-Mathur, Pooja, Vadez, Vincent, Sharma, Kiran K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843019/
https://www.ncbi.nlm.nih.gov/pubmed/27200008
http://dx.doi.org/10.3389/fpls.2016.00529
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author Sudhakar Reddy, Palakolanu
Srinivas Reddy, Dumbala
Sivasakthi, Kaliamoorthy
Bhatnagar-Mathur, Pooja
Vadez, Vincent
Sharma, Kiran K.
author_facet Sudhakar Reddy, Palakolanu
Srinivas Reddy, Dumbala
Sivasakthi, Kaliamoorthy
Bhatnagar-Mathur, Pooja
Vadez, Vincent
Sharma, Kiran K.
author_sort Sudhakar Reddy, Palakolanu
collection PubMed
description Accurate and reliable gene expression data from qPCR depends on stable reference gene expression for potential gene functional analyses. In this study, 15 reference genes were selected and analyzed in various sample sets including abiotic stress treatments (salt, cold, water stress, heat, and abscisic acid) and tissues (leaves, roots, seedlings, panicle, and mature seeds). Statistical tools, including geNorm, NormFinder and RefFinder, were utilized to assess the suitability of reference genes based on their stability rankings for various sample groups. For abiotic stress, PP2A and CYP were identified as the most stable genes. In contrast, EIF4α was the most stable in the tissue sample set, followed by PP2A; PP2A was the most stable in all the sample set, followed by EIF4α. GAPDH, and UBC1 were the least stably expressed in the tissue and all the sample sets. These results also indicated that the use of two candidate reference genes would be sufficient for the optimization of normalization studies. To further verify the suitability of these genes for use as reference genes, SbHSF5 and SbHSF13 gene expression levels were normalized using the most and least stable sorghum reference genes in root and water stressed-leaf tissues of five sorghum varieties. This is the first systematic study of the selection of the most stable reference genes for qPCR-related assays in Sorghum bicolor that will potentially benefit future gene expression studies in sorghum and other closely related species.
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spelling pubmed-48430192016-05-19 Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization Sudhakar Reddy, Palakolanu Srinivas Reddy, Dumbala Sivasakthi, Kaliamoorthy Bhatnagar-Mathur, Pooja Vadez, Vincent Sharma, Kiran K. Front Plant Sci Plant Science Accurate and reliable gene expression data from qPCR depends on stable reference gene expression for potential gene functional analyses. In this study, 15 reference genes were selected and analyzed in various sample sets including abiotic stress treatments (salt, cold, water stress, heat, and abscisic acid) and tissues (leaves, roots, seedlings, panicle, and mature seeds). Statistical tools, including geNorm, NormFinder and RefFinder, were utilized to assess the suitability of reference genes based on their stability rankings for various sample groups. For abiotic stress, PP2A and CYP were identified as the most stable genes. In contrast, EIF4α was the most stable in the tissue sample set, followed by PP2A; PP2A was the most stable in all the sample set, followed by EIF4α. GAPDH, and UBC1 were the least stably expressed in the tissue and all the sample sets. These results also indicated that the use of two candidate reference genes would be sufficient for the optimization of normalization studies. To further verify the suitability of these genes for use as reference genes, SbHSF5 and SbHSF13 gene expression levels were normalized using the most and least stable sorghum reference genes in root and water stressed-leaf tissues of five sorghum varieties. This is the first systematic study of the selection of the most stable reference genes for qPCR-related assays in Sorghum bicolor that will potentially benefit future gene expression studies in sorghum and other closely related species. Frontiers Media S.A. 2016-04-25 /pmc/articles/PMC4843019/ /pubmed/27200008 http://dx.doi.org/10.3389/fpls.2016.00529 Text en Copyright © 2016 Sudhakar Reddy, Srinivas Reddy, Sivasakthi, Bhatnagar-Mathur, Vadez and Sharma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Sudhakar Reddy, Palakolanu
Srinivas Reddy, Dumbala
Sivasakthi, Kaliamoorthy
Bhatnagar-Mathur, Pooja
Vadez, Vincent
Sharma, Kiran K.
Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title_full Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title_fullStr Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title_full_unstemmed Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title_short Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization
title_sort evaluation of sorghum [sorghum bicolor (l.)] reference genes in various tissues and under abiotic stress conditions for quantitative real-time pcr data normalization
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843019/
https://www.ncbi.nlm.nih.gov/pubmed/27200008
http://dx.doi.org/10.3389/fpls.2016.00529
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