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Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi

There has been no systematic identification and screening of candidate reference genes for normalization of quantitative real-time PCR (qRT-PCR) results in Rhododendron delavayi to date. Therefore, the present study used GAPDH, Act, EF1, Tub-, Tub-5, UEC1, TATA, TATA-2, UEP, TIP41, and Ubiquitin to...

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Autores principales: Zhang, Lu, Cai, Yanfei, Zhang, Mingchao, Du, Guanghui, Wang, Jihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046656/
https://www.ncbi.nlm.nih.gov/pubmed/35495151
http://dx.doi.org/10.3389/fgene.2022.876482
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author Zhang, Lu
Cai, Yanfei
Zhang, Mingchao
Du, Guanghui
Wang, Jihua
author_facet Zhang, Lu
Cai, Yanfei
Zhang, Mingchao
Du, Guanghui
Wang, Jihua
author_sort Zhang, Lu
collection PubMed
description There has been no systematic identification and screening of candidate reference genes for normalization of quantitative real-time PCR (qRT-PCR) results in Rhododendron delavayi to date. Therefore, the present study used GAPDH, Act, EF1, Tub-, Tub-5, UEC1, TATA, TATA-2, UEP, TIP41, and Ubiquitin to predict their stabilities on different aboveground tissues (matured leaves (ML), stem tips (STM), and flower buds (FB)) at different developmental stages (young and adult plants) using five statistical algorithms: Delta Ct method, BestKeeper, geNorm, Normfinder, and RefFinder. The findings were confirmed using ML obtained from plants that had been stressed by drought. By using RefFinder with ML samples collected under drought conditions, it was determined that the top five most stable reference genes were GAPDH > UEC1 > Actin > Tubulin- > Tubulin—5, whereas the least stable reference gene was Ubiquitin. In addition, under control conditions, UEC1, UEC2, Actin, and GAPDH were selected as the highest stable potential reference genes at the juvenile stage of R. delavayi with ML and STM. When ML and STM were combined with drought-stressed samples, TIP41, GAPDH, or their combination proved to be the most effective qRT-PCR primers. The findings will aid in the improvement of the precision and reliability of qRT-PCR data and laying the groundwork for future gene functional studies in R. delavayi.
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spelling pubmed-90466562022-04-29 Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi Zhang, Lu Cai, Yanfei Zhang, Mingchao Du, Guanghui Wang, Jihua Front Genet Genetics There has been no systematic identification and screening of candidate reference genes for normalization of quantitative real-time PCR (qRT-PCR) results in Rhododendron delavayi to date. Therefore, the present study used GAPDH, Act, EF1, Tub-, Tub-5, UEC1, TATA, TATA-2, UEP, TIP41, and Ubiquitin to predict their stabilities on different aboveground tissues (matured leaves (ML), stem tips (STM), and flower buds (FB)) at different developmental stages (young and adult plants) using five statistical algorithms: Delta Ct method, BestKeeper, geNorm, Normfinder, and RefFinder. The findings were confirmed using ML obtained from plants that had been stressed by drought. By using RefFinder with ML samples collected under drought conditions, it was determined that the top five most stable reference genes were GAPDH > UEC1 > Actin > Tubulin- > Tubulin—5, whereas the least stable reference gene was Ubiquitin. In addition, under control conditions, UEC1, UEC2, Actin, and GAPDH were selected as the highest stable potential reference genes at the juvenile stage of R. delavayi with ML and STM. When ML and STM were combined with drought-stressed samples, TIP41, GAPDH, or their combination proved to be the most effective qRT-PCR primers. The findings will aid in the improvement of the precision and reliability of qRT-PCR data and laying the groundwork for future gene functional studies in R. delavayi. Frontiers Media S.A. 2022-04-14 /pmc/articles/PMC9046656/ /pubmed/35495151 http://dx.doi.org/10.3389/fgene.2022.876482 Text en Copyright © 2022 Zhang, Cai, Zhang, Du and Wang. https://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) and the copyright owner(s) 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 Genetics
Zhang, Lu
Cai, Yanfei
Zhang, Mingchao
Du, Guanghui
Wang, Jihua
Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title_full Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title_fullStr Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title_full_unstemmed Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title_short Selection and Evaluation of Candidate Reference Genes for Quantitative Real-Time PCR in Aboveground Tissues and Drought Conditions in Rhododendron Delavayi
title_sort selection and evaluation of candidate reference genes for quantitative real-time pcr in aboveground tissues and drought conditions in rhododendron delavayi
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046656/
https://www.ncbi.nlm.nih.gov/pubmed/35495151
http://dx.doi.org/10.3389/fgene.2022.876482
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