板蓝花基因表达定量实时PCR规范化内参基因的选择

IF 2.946 Q3 Biochemistry, Genetics and Molecular Biology BMC Molecular Biology Pub Date : 2019-03-25 DOI:10.1186/s12867-019-0126-y
Renjun Qu, Yujing Miao, Yingjing Cui, Yiwen Cao, Ying Zhou, Xiaoqing Tang, Jie Yang, Fangquan Wang
{"title":"板蓝花基因表达定量实时PCR规范化内参基因的选择","authors":"Renjun Qu,&nbsp;Yujing Miao,&nbsp;Yingjing Cui,&nbsp;Yiwen Cao,&nbsp;Ying Zhou,&nbsp;Xiaoqing Tang,&nbsp;Jie Yang,&nbsp;Fangquan Wang","doi":"10.1186/s12867-019-0126-y","DOIUrl":null,"url":null,"abstract":"<p><i>Isatis indigotica</i>, a traditional Chinese medicine, produces a variety of active ingredients. However, little is known about the key genes and corresponding expression profiling involved in the biosynthesis pathways of these ingredients. Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful, commonly-used method for gene expression analysis, but the accuracy of the quantitative data produced depends on the appropriate selection of reference genes.</p><p>In this study, the systematic analysis of the reference genes was performed for quantitative real-Time PCR normalization in <i>I. indigotica</i>. We selected nine candidate reference genes, including six traditional housekeeping genes (<i>ACT</i>, <i>α</i>-<i>TUB</i>, <i>β</i>-<i>TUB</i>, <i>UBC</i>, <i>CYP</i>, and <i>EF1</i>-<i>α</i>), and three newly stable internal control genes (<i>MUB</i>, <i>TIP41</i>, and <i>RPL</i>) from a transcriptome dataset of <i>I. indigotica</i>, and evaluated their expression stabilities in different tissues (root, stem, leaf, and petiole) and leaves exposed to three abiotic treatments (low-nitrogen, ABA, and MeJA) using geNorm, NormFinder, BestKeeper, and comprehensive RefFind algorithms. The results demonstrated that <i>MUB</i> and <i>EF1</i>-<i>α</i> were the two most stable reference genes for all samples. <i>TIP41</i> as the optimal reference gene for low-nitrogen stress and MeJA treatment, while <i>ACT</i> had the highest ranking for ABA treatment and <i>CYP</i> was the most suitable for different tissues.</p><p>The results revealed that the selection and validation of appropriate reference genes for normalizing data is mandatory to acquire accurate quantification results. The necessity of specific internal control for specific conditions was also emphasized. Furthermore, this work will provide valuable information to enhance further research in gene function and molecular biology on <i>I. indigotica</i> and other related species.</p>","PeriodicalId":497,"journal":{"name":"BMC Molecular Biology","volume":"20 1","pages":""},"PeriodicalIF":2.9460,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12867-019-0126-y","citationCount":"30","resultStr":"{\"title\":\"Selection of reference genes for the quantitative real-time PCR normalization of gene expression in Isatis indigotica fortune\",\"authors\":\"Renjun Qu,&nbsp;Yujing Miao,&nbsp;Yingjing Cui,&nbsp;Yiwen Cao,&nbsp;Ying Zhou,&nbsp;Xiaoqing Tang,&nbsp;Jie Yang,&nbsp;Fangquan Wang\",\"doi\":\"10.1186/s12867-019-0126-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><i>Isatis indigotica</i>, a traditional Chinese medicine, produces a variety of active ingredients. However, little is known about the key genes and corresponding expression profiling involved in the biosynthesis pathways of these ingredients. Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful, commonly-used method for gene expression analysis, but the accuracy of the quantitative data produced depends on the appropriate selection of reference genes.</p><p>In this study, the systematic analysis of the reference genes was performed for quantitative real-Time PCR normalization in <i>I. indigotica</i>. We selected nine candidate reference genes, including six traditional housekeeping genes (<i>ACT</i>, <i>α</i>-<i>TUB</i>, <i>β</i>-<i>TUB</i>, <i>UBC</i>, <i>CYP</i>, and <i>EF1</i>-<i>α</i>), and three newly stable internal control genes (<i>MUB</i>, <i>TIP41</i>, and <i>RPL</i>) from a transcriptome dataset of <i>I. indigotica</i>, and evaluated their expression stabilities in different tissues (root, stem, leaf, and petiole) and leaves exposed to three abiotic treatments (low-nitrogen, ABA, and MeJA) using geNorm, NormFinder, BestKeeper, and comprehensive RefFind algorithms. The results demonstrated that <i>MUB</i> and <i>EF1</i>-<i>α</i> were the two most stable reference genes for all samples. <i>TIP41</i> as the optimal reference gene for low-nitrogen stress and MeJA treatment, while <i>ACT</i> had the highest ranking for ABA treatment and <i>CYP</i> was the most suitable for different tissues.</p><p>The results revealed that the selection and validation of appropriate reference genes for normalizing data is mandatory to acquire accurate quantification results. The necessity of specific internal control for specific conditions was also emphasized. Furthermore, this work will provide valuable information to enhance further research in gene function and molecular biology on <i>I. indigotica</i> and other related species.</p>\",\"PeriodicalId\":497,\"journal\":{\"name\":\"BMC Molecular Biology\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9460,\"publicationDate\":\"2019-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s12867-019-0126-y\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Molecular Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s12867-019-0126-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Molecular Biology","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s12867-019-0126-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 30

摘要

板蓝花是一种传统中药,具有多种活性成分。然而,对这些成分的生物合成途径中涉及的关键基因和相应的表达谱知之甚少。定量实时聚合酶链反应(qRT-PCR)是一种功能强大、常用的基因表达分析方法,但所产生的定量数据的准确性取决于适当选择的内参基因。本研究系统分析了靛蓝的内参基因,并进行了实时荧光定量PCR归一化。我们从一种紫花苜蓿的转录组数据中选择了9个候选内参基因,包括6个传统的内参基因(ACT、α-TUB、β-TUB、UBC、CYP和EF1-α)和3个新稳定的内参基因(MUB、TIP41和RPL),并使用geNorm、NormFinder、BestKeeper和综合RefFind算法评估了它们在不同组织(根、茎、叶和叶柄)和3种非生物处理(低氮、ABA和MeJA)下的叶片中的表达稳定性。结果表明,MUB和EF1-α是所有样品中最稳定的两个内参基因。低氮胁迫和MeJA处理的最佳内参基因为TIP41, ABA处理的最佳内参基因为ACT,不同组织的最适合内参基因为CYP。结果表明,为了获得准确的定量结果,选择和验证合适的内参基因是必不可少的。还强调了针对具体情况实施具体内部控制的必要性。此外,本研究将为进一步深入研究靛蓝及其他近缘种的基因功能和分子生物学提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Selection of reference genes for the quantitative real-time PCR normalization of gene expression in Isatis indigotica fortune

Isatis indigotica, a traditional Chinese medicine, produces a variety of active ingredients. However, little is known about the key genes and corresponding expression profiling involved in the biosynthesis pathways of these ingredients. Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful, commonly-used method for gene expression analysis, but the accuracy of the quantitative data produced depends on the appropriate selection of reference genes.

In this study, the systematic analysis of the reference genes was performed for quantitative real-Time PCR normalization in I. indigotica. We selected nine candidate reference genes, including six traditional housekeeping genes (ACT, α-TUB, β-TUB, UBC, CYP, and EF1-α), and three newly stable internal control genes (MUB, TIP41, and RPL) from a transcriptome dataset of I. indigotica, and evaluated their expression stabilities in different tissues (root, stem, leaf, and petiole) and leaves exposed to three abiotic treatments (low-nitrogen, ABA, and MeJA) using geNorm, NormFinder, BestKeeper, and comprehensive RefFind algorithms. The results demonstrated that MUB and EF1-α were the two most stable reference genes for all samples. TIP41 as the optimal reference gene for low-nitrogen stress and MeJA treatment, while ACT had the highest ranking for ABA treatment and CYP was the most suitable for different tissues.

The results revealed that the selection and validation of appropriate reference genes for normalizing data is mandatory to acquire accurate quantification results. The necessity of specific internal control for specific conditions was also emphasized. Furthermore, this work will provide valuable information to enhance further research in gene function and molecular biology on I. indigotica and other related species.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BMC Molecular Biology
BMC Molecular Biology 生物-生化与分子生物学
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: BMC Molecular Biology is an open access journal publishing original peer-reviewed research articles in all aspects of DNA and RNA in a cellular context, encompassing investigations of chromatin, replication, recombination, mutation, repair, transcription, translation and RNA processing and function.
期刊最新文献
PSMD1 and PSMD2 regulate HepG2 cell proliferation and apoptosis via modulating cellular lipid droplet metabolism The effect of BACE1-AS on β-amyloid generation by regulating BACE1 mRNA expression Overlapping transcriptional expression response of wheat zinc-induced facilitator-like transporters emphasize important role during Fe and Zn stress MiR-32-5p influences high glucose-induced cardiac fibroblast proliferation and phenotypic alteration by inhibiting DUSP1 Correction to: A protocol for custom CRISPR Cas9 donor vector construction to truncate genes in mammalian cells using pcDNA3 backbone
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1