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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2016
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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. |
format | Online Article Text |
id | pubmed-4843019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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