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Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans

Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is an accurate method for quantifying gene expression levels. Choosing appropriate reference genes to normalize the data is essential for reducing errors. Gelsemium elegans is a highly poisonous but important medicinal plant used...

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Autores principales: Zhang, Yao, Mu, Detian, Wang, Liya, Wang, Xujun, Wilson, Iain W., Chen, Wenqiang, Wang, Jinghan, Liu, Zhaoying, Qiu, Deyou, Tang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648913/
https://www.ncbi.nlm.nih.gov/pubmed/37958955
http://dx.doi.org/10.3390/ijms242115973
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author Zhang, Yao
Mu, Detian
Wang, Liya
Wang, Xujun
Wilson, Iain W.
Chen, Wenqiang
Wang, Jinghan
Liu, Zhaoying
Qiu, Deyou
Tang, Qi
author_facet Zhang, Yao
Mu, Detian
Wang, Liya
Wang, Xujun
Wilson, Iain W.
Chen, Wenqiang
Wang, Jinghan
Liu, Zhaoying
Qiu, Deyou
Tang, Qi
author_sort Zhang, Yao
collection PubMed
description Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is an accurate method for quantifying gene expression levels. Choosing appropriate reference genes to normalize the data is essential for reducing errors. Gelsemium elegans is a highly poisonous but important medicinal plant used for analgesic and anti-swelling purposes. Gelsenicine is one of the vital active ingredients, and its biosynthesis pathway remains to be determined. In this study, G. elegans leaf tissue with and without the application of one of four hormones (SA, MeJA, ETH, and ABA) known to affect gelsenicine synthesis, was analyzed using ten candidate reference genes. The gene stability was evaluated using GeNorm, NormFinder, BestKeeper, ∆CT, and RefFinder. The results showed that the optimal stable reference genes varied among the different treatments and that at least two reference genes were required for accurate quantification. The expression patterns of 15 genes related to the gelsenicine upstream biosynthesis pathway was determined by RT-qPCR using the relevant reference genes identified. Three genes 8-HGO, LAMT, and STR, were found to have a strong correlation with the amount of gelsenicine measured in the different samples. This research is the first study to examine the reference genes of G. elegans under different hormone treatments and will be useful for future molecular analyses of this medically important plant species.
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spelling pubmed-106489132023-11-04 Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans Zhang, Yao Mu, Detian Wang, Liya Wang, Xujun Wilson, Iain W. Chen, Wenqiang Wang, Jinghan Liu, Zhaoying Qiu, Deyou Tang, Qi Int J Mol Sci Article Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is an accurate method for quantifying gene expression levels. Choosing appropriate reference genes to normalize the data is essential for reducing errors. Gelsemium elegans is a highly poisonous but important medicinal plant used for analgesic and anti-swelling purposes. Gelsenicine is one of the vital active ingredients, and its biosynthesis pathway remains to be determined. In this study, G. elegans leaf tissue with and without the application of one of four hormones (SA, MeJA, ETH, and ABA) known to affect gelsenicine synthesis, was analyzed using ten candidate reference genes. The gene stability was evaluated using GeNorm, NormFinder, BestKeeper, ∆CT, and RefFinder. The results showed that the optimal stable reference genes varied among the different treatments and that at least two reference genes were required for accurate quantification. The expression patterns of 15 genes related to the gelsenicine upstream biosynthesis pathway was determined by RT-qPCR using the relevant reference genes identified. Three genes 8-HGO, LAMT, and STR, were found to have a strong correlation with the amount of gelsenicine measured in the different samples. This research is the first study to examine the reference genes of G. elegans under different hormone treatments and will be useful for future molecular analyses of this medically important plant species. MDPI 2023-11-04 /pmc/articles/PMC10648913/ /pubmed/37958955 http://dx.doi.org/10.3390/ijms242115973 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Yao
Mu, Detian
Wang, Liya
Wang, Xujun
Wilson, Iain W.
Chen, Wenqiang
Wang, Jinghan
Liu, Zhaoying
Qiu, Deyou
Tang, Qi
Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title_full Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title_fullStr Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title_full_unstemmed Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title_short Reference Genes Screening and Gene Expression Patterns Analysis Involved in Gelsenicine Biosynthesis under Different Hormone Treatments in Gelsemium elegans
title_sort reference genes screening and gene expression patterns analysis involved in gelsenicine biosynthesis under different hormone treatments in gelsemium elegans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648913/
https://www.ncbi.nlm.nih.gov/pubmed/37958955
http://dx.doi.org/10.3390/ijms242115973
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