Selection and Validation of Reference Genes in Clinacanthus nutans Under Abiotic Stresses, MeJA Treatment, and in Different Tissues

<i>Clinacanthus nutans</i> is a valuable traditional medicinal plant that contains enriched active compounds such as triterpenoids and flavonoids. Understanding the accuulation process of these secondary metabolites in <i>C. nutans</i> requires exploring gene expression regulation under abiotic stresses and hormonal stimuli. qRT-PCR is a powerful method for gene expression analysis, with the selection of suitable reference genes being paramount. However, reports on stably expressed reference genes in <i>C. nutans</i> and even across the entire family Acanthaceae are limited. In this study, we evaluated the expression stability of 12 candidate reference genes (<i>CnUBQ, CnRPL, CnRPS, CnPTB1, CnTIP41, CnACT, CnUBC, CnGAPDH, Cn18S, CnCYP, CnEF1α, and CnTUB</i>) in <i>C. nutans</i> across different tissues and under abiotic stresses and MeJA treatment using three programs (geNorm, NormFinder, and BestKeeper). The integrated ranking results indicated that <i>CnUBC</i>, <i>CnRPL</i>, and <i>CnCYP</i> were the most stably expressed genes across different tissues. Under abiotic stress conditions, <i>CnUBC</i>, <i>CnRPL</i>, and <i>CnEF1α</i> were the most stable, while under MeJA treatment, <i>CnRPL</i>, <i>CnEF1α</i>, and <i>CnGAPDH</i> exhibited the highest stability. Additionally, <i>CnRPL</i>, <i>CnUBC</i>, and <i>CnEF1α</i> were the most stable reference genes across all tested samples, whereas <i>CnGAPDH</i> was the least stable. <i>CnRPL</i>, consistently ranking among the top three most stable genes, may therefore serve as an ideal reference gene for qRT-PCR analysis in <i>C. nutans</i>. To further validate the selected reference genes, we assessed the expression of two key biosynthetic genes, <i>CnPAL</i> and <i>CnHMGR</i>. The results confirmed that using the most stable reference genes yielded expression patterns consistent with biological expectations, while using unstable reference genes led to significant deviations. These findings offer valuable insights for accurately quantifying target genes via qRT-PCR in <i>C. nutans</i>, facilitating investigations into the mechanisms underlying active compound accumulation.

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Journal
International Journal of Molecular Sciences
Published
2025-03-11
DOI
https://doi.org/10.3390/ijms26062483
Citations
4
Primary Topic
Molecular Biology Techniques and Applications
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article
Field-Weighted Citation Impact
3.22
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article

Selection and Validation of Reference Genes in Clinacanthus nutans Under Abiotic Stresses, MeJA Treatment, and in Different Tissues

Ping Zheng, Yixin Yao, Chang An, Yan Cheng et al.
4 citations
International Journal of Molecular Sciences
Molecular Biology Techniques and Applications
3.22
article

Selection and Validation of Reference Genes in Clinacanthus nutans Under Abiotic Stresses, MeJA Treatment, and in Different Tissues

Ping Zheng, Yixin Yao, Chang An, Yan Cheng, Yanxiang Lin, Lin Lu, Ruo-Yu Liu, Yuan Qin
article en
4 citations

Abstract

<i>Clinacanthus nutans</i> is a valuable traditional medicinal plant that contains enriched active compounds such as triterpenoids and flavonoids. Understanding the accuulation process of these secondary metabolites in <i>C. nutans</i> requires exploring gene expression regulation under abiotic stresses and hormonal stimuli. qRT-PCR is a powerful method for gene expression analysis, with the selection of suitable reference genes being paramount. However, reports on stably expressed reference genes in <i>C. nutans</i> and even across the entire family Acanthaceae are limited. In this study, we evaluated the expression stability of 12 candidate reference genes (<i>CnUBQ, CnRPL, CnRPS, CnPTB1, CnTIP41, CnACT, CnUBC, CnGAPDH, Cn18S, CnCYP, CnEF1α, and CnTUB</i>) in <i>C. nutans</i> across different tissues and under abiotic stresses and MeJA treatment using three programs (geNorm, NormFinder, and BestKeeper). The integrated ranking results indicated that <i>CnUBC</i>, <i>CnRPL</i>, and <i>CnCYP</i> were the most stably expressed genes across different tissues. Under abiotic stress conditions, <i>CnUBC</i>, <i>CnRPL</i>, and <i>CnEF1α</i> were the most stable, while under MeJA treatment, <i>CnRPL</i>, <i>CnEF1α</i>, and <i>CnGAPDH</i> exhibited the highest stability. Additionally, <i>CnRPL</i>, <i>CnUBC</i>, and <i>CnEF1α</i> were the most stable reference genes across all tested samples, whereas <i>CnGAPDH</i> was the least stable. <i>CnRPL</i>, consistently ranking among the top three most stable genes, may therefore serve as an ideal reference gene for qRT-PCR analysis in <i>C. nutans</i>. To further validate the selected reference genes, we assessed the expression of two key biosynthetic genes, <i>CnPAL</i> and <i>CnHMGR</i>. The results confirmed that using the most stable reference genes yielded expression patterns consistent with biological expectations, while using unstable reference genes led to significant deviations. These findings offer valuable insights for accurately quantifying target genes via qRT-PCR in <i>C. nutans</i>, facilitating investigations into the mechanisms underlying active compound accumulation.

International Journal of Molecular SciencesVol. 26(6)
Fujian University of Traditional Chinese Medicine (CN), Guangxi University (CN), University of Macau (MO), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 9%
Molecular Biology Techniques and Applications
3.22
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