Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments

Halophyte plants, with genes responsive to abiotic stress, are promising candidates to enhance crop stress tolerance, but reliable RT-qPCR analysis requires the precise selection of candidate reference genes (CRGs) due to their inconsistent expression across tissues and stress conditions. In this st...

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Main Authors: Seyyed Hamidreza Hashemipetroudi, Ali Rezaei, Markus Kuhlmann
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
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Online Access:https://www.mdpi.com/2073-4395/15/7/1596
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author Seyyed Hamidreza Hashemipetroudi
Ali Rezaei
Markus Kuhlmann
author_facet Seyyed Hamidreza Hashemipetroudi
Ali Rezaei
Markus Kuhlmann
author_sort Seyyed Hamidreza Hashemipetroudi
collection DOAJ
description Halophyte plants, with genes responsive to abiotic stress, are promising candidates to enhance crop stress tolerance, but reliable RT-qPCR analysis requires the precise selection of candidate reference genes (CRGs) due to their inconsistent expression across tissues and stress conditions. In this study eight CRGs of <i>A. littoralis</i>, <i>AlEF1A</i>, <i>AlRPS3</i>, <i>AlGTFC</i>, <i>AlRPS12</i>, <i>AlUBQ2</i>, <i>AlTUB6</i>, <i>AlACT7</i>, and <i>AlGAPDH1</i>, were analyzed to assess their stability for the normalization of RT-qPCR data under polyethylene glycol (PEG, 20% <i>w</i>/<i>v</i> for drought simulation), abscisic acid (ABA, 100 μM), and cold stress (4 °C) treatments. The result of the algorithms suggested different CRGs for different treatments or tissue types. However the comprehensive analysis indicates that <i>AlEF1A</i> is the most stable CRG for PEG-treated leaf tissue, but <i>AlTUB6</i> is preferable for PEG-treated root tissue, while for PEG-treated leaf and root tissues, <i>AlEF1A</i> can be suggested. For cold-stressed leaf and/or root samples, <i>AlRPS3</i> was the most stable. For ABA-treated leaf and root tissues, <i>AlGTFC</i> and <i>AlEF1A</i> were the most stable CRGs, respectively, whereas <i>AlTUB6</i> was suggested for ABA-treated leaf and root tissues. Collectively, for all stresses combined (PEG, ABA, and cold), <i>AlGTFC</i> was the most stable CRG in leaf samples, while <i>AlRPS3</i> was the most stable in root samples and combined leaf and root samples. The validation analysis indicates a statistically significant difference (<i>p</i> value < 0.05) between normalization with the most and least stable CRGs. This research suggests reliable tissue-specific RGs for <i>A. littoralis</i> under abiotic stresses that can enhances the accuracy of gene expression quantification.
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spelling doaj-art-038d4bc3e6a34acd9bf4fe2b4ae8281f2025-07-25T13:09:53ZengMDPI AGAgronomy2073-43952025-06-01157159610.3390/agronomy15071596Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA TreatmentsSeyyed Hamidreza Hashemipetroudi0Ali Rezaei1Markus Kuhlmann2Genetics and Agricultural Biotechnology Institute of Tabarestan (GABIT), Sari Agricultural Sciences and Natural Resources University, P.O. Box 578, Sari 4818166996, IranSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, CanadaRG Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466 Gatersleben, GermanyHalophyte plants, with genes responsive to abiotic stress, are promising candidates to enhance crop stress tolerance, but reliable RT-qPCR analysis requires the precise selection of candidate reference genes (CRGs) due to their inconsistent expression across tissues and stress conditions. In this study eight CRGs of <i>A. littoralis</i>, <i>AlEF1A</i>, <i>AlRPS3</i>, <i>AlGTFC</i>, <i>AlRPS12</i>, <i>AlUBQ2</i>, <i>AlTUB6</i>, <i>AlACT7</i>, and <i>AlGAPDH1</i>, were analyzed to assess their stability for the normalization of RT-qPCR data under polyethylene glycol (PEG, 20% <i>w</i>/<i>v</i> for drought simulation), abscisic acid (ABA, 100 μM), and cold stress (4 °C) treatments. The result of the algorithms suggested different CRGs for different treatments or tissue types. However the comprehensive analysis indicates that <i>AlEF1A</i> is the most stable CRG for PEG-treated leaf tissue, but <i>AlTUB6</i> is preferable for PEG-treated root tissue, while for PEG-treated leaf and root tissues, <i>AlEF1A</i> can be suggested. For cold-stressed leaf and/or root samples, <i>AlRPS3</i> was the most stable. For ABA-treated leaf and root tissues, <i>AlGTFC</i> and <i>AlEF1A</i> were the most stable CRGs, respectively, whereas <i>AlTUB6</i> was suggested for ABA-treated leaf and root tissues. Collectively, for all stresses combined (PEG, ABA, and cold), <i>AlGTFC</i> was the most stable CRG in leaf samples, while <i>AlRPS3</i> was the most stable in root samples and combined leaf and root samples. The validation analysis indicates a statistically significant difference (<i>p</i> value < 0.05) between normalization with the most and least stable CRGs. This research suggests reliable tissue-specific RGs for <i>A. littoralis</i> under abiotic stresses that can enhances the accuracy of gene expression quantification.https://www.mdpi.com/2073-4395/15/7/1596abiotic stressabscisic acidpolyethylene glycolstable reference gene
spellingShingle Seyyed Hamidreza Hashemipetroudi
Ali Rezaei
Markus Kuhlmann
Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
Agronomy
abiotic stress
abscisic acid
polyethylene glycol
stable reference gene
title Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
title_full Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
title_fullStr Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
title_full_unstemmed Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
title_short Validation of Reference Genes for Accurate RT-qPCR Normalization in <i>Aeluropus littoralis</i> Under Drought, Cold, and ABA Treatments
title_sort validation of reference genes for accurate rt qpcr normalization in i aeluropus littoralis i under drought cold and aba treatments
topic abiotic stress
abscisic acid
polyethylene glycol
stable reference gene
url https://www.mdpi.com/2073-4395/15/7/1596
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AT markuskuhlmann validationofreferencegenesforaccuratertqpcrnormalizationiniaeluropuslittoralisiunderdroughtcoldandabatreatments