Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle
(1) Background: <i>Vaccinium vitis-idaea</i> is a nutritionally and economically valuable natural wild plant species that produces berries useful for treating various diseases. There is growing interest in lingonberry, but there is limited information regarding lingonberry reference gene...
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MDPI AG
2023-12-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/12/24/4180 |
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| author | Wanchen Zhang Jian Xu Qiang Wang Jing Li Yadong Li Mei Dong Haiyue Sun |
| author_facet | Wanchen Zhang Jian Xu Qiang Wang Jing Li Yadong Li Mei Dong Haiyue Sun |
| author_sort | Wanchen Zhang |
| collection | DOAJ |
| description | (1) Background: <i>Vaccinium vitis-idaea</i> is a nutritionally and economically valuable natural wild plant species that produces berries useful for treating various diseases. There is growing interest in lingonberry, but there is limited information regarding lingonberry reference genes suitable for gene expression analyses of different tissues under various abiotic stress conditions. The objective of this study was to identify stable reference genes suitable for different lingonberry tissues in response to abiotic stress. (2) Methods: The delta Ct method and the GeNorm v3.5 and NormFinder v20 programs were used to comprehensively analyze gene expression stability. (3) Results: <i>Actin Unigene23839</i> was the best reference gene for analyzing different cultivars, whereas <i>Actin CL5740.Contig2</i> was the most suitable reference gene for analyzing different tissues and alkali stress. In contrast, <i>18S rRNA CL5051.Contig1</i> was the most stable reference gene under drought conditions. (4) Conclusions: These suitable reference genes may be used in future qRT-PCR analyses of different lingonberry tissues and the effects of abiotic stresses. Furthermore, the study data may be useful for functional genomics studies and the molecular breeding of lingonberry. In summary, internal reference genes or internal reference gene combinations should be carefully selected according to the experimental conditions to ensure that the generated gene expression data are accurate. |
| first_indexed | 2024-03-08T18:35:06Z |
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| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-08T18:35:06Z |
| publishDate | 2023-12-01 |
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| series | Plants |
| spelling | doaj.art-b877304fdd6d4ba8bbd37e0a0b37e4282023-12-29T15:47:36ZengMDPI AGPlants2223-77472023-12-011224418010.3390/plants12244180Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth CycleWanchen Zhang0Jian Xu1Qiang Wang2Jing Li3Yadong Li4Mei Dong5Haiyue Sun6Joint International Research Laboratory of Modern Agricultural Technology, College of Horticulture, Jilin Agricultural University, Changchun 130118, ChinaJoint International Research Laboratory of Modern Agricultural Technology, College of Horticulture, Jilin Agricultural University, Changchun 130118, ChinaResearch Institute of Pomology of CAAS, Xingcheng 125100, ChinaResearch Institute of Pomology of CAAS, Xingcheng 125100, ChinaJoint International Research Laboratory of Modern Agricultural Technology, College of Horticulture, Jilin Agricultural University, Changchun 130118, ChinaJoint International Research Laboratory of Modern Agricultural Technology, College of Horticulture, Jilin Agricultural University, Changchun 130118, ChinaJoint International Research Laboratory of Modern Agricultural Technology, College of Horticulture, Jilin Agricultural University, Changchun 130118, China(1) Background: <i>Vaccinium vitis-idaea</i> is a nutritionally and economically valuable natural wild plant species that produces berries useful for treating various diseases. There is growing interest in lingonberry, but there is limited information regarding lingonberry reference genes suitable for gene expression analyses of different tissues under various abiotic stress conditions. The objective of this study was to identify stable reference genes suitable for different lingonberry tissues in response to abiotic stress. (2) Methods: The delta Ct method and the GeNorm v3.5 and NormFinder v20 programs were used to comprehensively analyze gene expression stability. (3) Results: <i>Actin Unigene23839</i> was the best reference gene for analyzing different cultivars, whereas <i>Actin CL5740.Contig2</i> was the most suitable reference gene for analyzing different tissues and alkali stress. In contrast, <i>18S rRNA CL5051.Contig1</i> was the most stable reference gene under drought conditions. (4) Conclusions: These suitable reference genes may be used in future qRT-PCR analyses of different lingonberry tissues and the effects of abiotic stresses. Furthermore, the study data may be useful for functional genomics studies and the molecular breeding of lingonberry. In summary, internal reference genes or internal reference gene combinations should be carefully selected according to the experimental conditions to ensure that the generated gene expression data are accurate.https://www.mdpi.com/2223-7747/12/24/4180lingonberryqRT–PCRtranscriptomeinternal reference geneabiotic stress |
| spellingShingle | Wanchen Zhang Jian Xu Qiang Wang Jing Li Yadong Li Mei Dong Haiyue Sun Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle Plants lingonberry qRT–PCR transcriptome internal reference gene abiotic stress |
| title | Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle |
| title_full | Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle |
| title_fullStr | Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle |
| title_full_unstemmed | Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle |
| title_short | Transcriptome-Based Identification of the Optimal Reference Genes for Quantitative Real-Time Polymerase Chain Reaction Analyses of Lingonberry Fruits throughout the Growth Cycle |
| title_sort | transcriptome based identification of the optimal reference genes for quantitative real time polymerase chain reaction analyses of lingonberry fruits throughout the growth cycle |
| topic | lingonberry qRT–PCR transcriptome internal reference gene abiotic stress |
| url | https://www.mdpi.com/2223-7747/12/24/4180 |
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