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Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data

BACKGROUND: Polygonum cuspidatum of the Polygonaceae family is a traditional medicinal plant with many bioactive compounds that play important roles in human health and stress responses. Research has attempted to identify biosynthesis genes and metabolic pathways in this species, and quantitative re...

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Autores principales: Wang, Xiaowei, Wu, Zhijun, Bao, Wenqi, Hu, Hongyan, Chen, Mo, Chai, Tuanyao, Wang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854638/
https://www.ncbi.nlm.nih.gov/pubmed/31726985
http://dx.doi.org/10.1186/s12870-019-2108-0
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author Wang, Xiaowei
Wu, Zhijun
Bao, Wenqi
Hu, Hongyan
Chen, Mo
Chai, Tuanyao
Wang, Hong
author_facet Wang, Xiaowei
Wu, Zhijun
Bao, Wenqi
Hu, Hongyan
Chen, Mo
Chai, Tuanyao
Wang, Hong
author_sort Wang, Xiaowei
collection PubMed
description BACKGROUND: Polygonum cuspidatum of the Polygonaceae family is a traditional medicinal plant with many bioactive compounds that play important roles in human health and stress responses. Research has attempted to identify biosynthesis genes and metabolic pathways in this species, and quantitative real-time PCR (RT-qPCR) has commonly been used to detect gene expression because of its speed, sensitivity, and specificity. However, no P. cuspidatum reference genes have been identified, which hinders gene expression studies. Here, we aimed to identify suitable reference genes for accurate and reliable normalization of P. cuspidatum RT-qPCR data. RESULTS: Twelve candidate reference genes, including nine common (ACT, TUA, TUB, GAPDH, EF-1γ, UBQ, UBC, 60SrRNA, and eIF6A) and three novel (SKD1, YLS8, and NDUFA13), were analyzed in different tissues (root, stem, and leaf) without treatment and in leaves under abiotic stresses (salt, ultraviolet [UV], cold, heat, and drought) and hormone stimuli (abscisic acid [ABA], ethylene [ETH], gibberellin [GA(3)], methyl jasmonate [MeJA], and salicylic acid [SA]). Expression stability in 65 samples was calculated using the △CT method, geNorm, NormFinder, BestKeeper, and RefFinder. Two reference genes (NDUFA13 and EF-1γ) were sufficient to normalize gene expression across all sample sets. They were also the two most stable genes for abiotic stresses and different tissues, whereas NDUFA13 and SKD1 were the top two choices for hormone stimuli. Considering individual experimental sets, GAPDH was the top-ranked gene under ABA, ETH, and GA(3) treatments, while 60SrRNA showed good stability under MeJA and cold treatments. ACT, UBC, and TUB were suitable genes for drought, UV, and ABA treatments, respectively. TUA was not suitable because of its considerable variation in expression under different conditions. The expression patterns of PcPAL, PcSTS, and PcMYB4 under UV and SA treatments and in different tissues normalized by stable and unstable reference genes demonstrated the suitability of the optimal reference genes. CONCLUSIONS: We propose NDUFA13 and EF-1γ as reference genes to normalize P. cuspidatum expression data. To our knowledge, this is the first systematic study of reference genes in P. cuspidatum which could help advance molecular biology research in P. cuspidatum and allied species.
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spelling pubmed-68546382019-11-21 Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data Wang, Xiaowei Wu, Zhijun Bao, Wenqi Hu, Hongyan Chen, Mo Chai, Tuanyao Wang, Hong BMC Plant Biol Research Article BACKGROUND: Polygonum cuspidatum of the Polygonaceae family is a traditional medicinal plant with many bioactive compounds that play important roles in human health and stress responses. Research has attempted to identify biosynthesis genes and metabolic pathways in this species, and quantitative real-time PCR (RT-qPCR) has commonly been used to detect gene expression because of its speed, sensitivity, and specificity. However, no P. cuspidatum reference genes have been identified, which hinders gene expression studies. Here, we aimed to identify suitable reference genes for accurate and reliable normalization of P. cuspidatum RT-qPCR data. RESULTS: Twelve candidate reference genes, including nine common (ACT, TUA, TUB, GAPDH, EF-1γ, UBQ, UBC, 60SrRNA, and eIF6A) and three novel (SKD1, YLS8, and NDUFA13), were analyzed in different tissues (root, stem, and leaf) without treatment and in leaves under abiotic stresses (salt, ultraviolet [UV], cold, heat, and drought) and hormone stimuli (abscisic acid [ABA], ethylene [ETH], gibberellin [GA(3)], methyl jasmonate [MeJA], and salicylic acid [SA]). Expression stability in 65 samples was calculated using the △CT method, geNorm, NormFinder, BestKeeper, and RefFinder. Two reference genes (NDUFA13 and EF-1γ) were sufficient to normalize gene expression across all sample sets. They were also the two most stable genes for abiotic stresses and different tissues, whereas NDUFA13 and SKD1 were the top two choices for hormone stimuli. Considering individual experimental sets, GAPDH was the top-ranked gene under ABA, ETH, and GA(3) treatments, while 60SrRNA showed good stability under MeJA and cold treatments. ACT, UBC, and TUB were suitable genes for drought, UV, and ABA treatments, respectively. TUA was not suitable because of its considerable variation in expression under different conditions. The expression patterns of PcPAL, PcSTS, and PcMYB4 under UV and SA treatments and in different tissues normalized by stable and unstable reference genes demonstrated the suitability of the optimal reference genes. CONCLUSIONS: We propose NDUFA13 and EF-1γ as reference genes to normalize P. cuspidatum expression data. To our knowledge, this is the first systematic study of reference genes in P. cuspidatum which could help advance molecular biology research in P. cuspidatum and allied species. BioMed Central 2019-11-14 /pmc/articles/PMC6854638/ /pubmed/31726985 http://dx.doi.org/10.1186/s12870-019-2108-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Xiaowei
Wu, Zhijun
Bao, Wenqi
Hu, Hongyan
Chen, Mo
Chai, Tuanyao
Wang, Hong
Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title_full Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title_fullStr Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title_full_unstemmed Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title_short Identification and evaluation of reference genes for quantitative real-time PCR analysis in Polygonum cuspidatum based on transcriptome data
title_sort identification and evaluation of reference genes for quantitative real-time pcr analysis in polygonum cuspidatum based on transcriptome data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854638/
https://www.ncbi.nlm.nih.gov/pubmed/31726985
http://dx.doi.org/10.1186/s12870-019-2108-0
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