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实时荧光定量聚合酶链反应检测的参考基因选择与验证。

Reference Genes Selection and Validation for by Real-Time Quantitative Polymerase Chain Reaction.

机构信息

College of Biological Sciences and Biotechnology, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China.

Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou 510520, China.

出版信息

Int J Mol Sci. 2024 Mar 20;25(6):3500. doi: 10.3390/ijms25063500.

Abstract

In recent years, the field of biology has witnessed a surge of interest in genomics research due to the advancements in biotechnology. Gene expression pattern analysis plays a crucial role in this research, as it enables us to understand the regulatory mechanism of gene expression and the associated biological processes. Real-time quantitative polymerase chain reaction (q-PCR) is an efficient method to analyze the gene expression patterns, for which accuracy relies on the standardized analysis of reference genes. However, numerous studies have shown that no reference gene is universal in all conditions, so screening a suitable reference gene under certain conditions is of great importance. () is rich in volatile components and has high medicinal and economic value. However, knowledge of the screening of reference genes for the gene expression analysis of is insufficient. Aiming at this problem, we evaluated and screened the reference genes in under different experimental conditions, including different abiotic stresses (Cold-treated, PEG-treated and Nacl-treated), different tissues, leaves at different developmental stages and different chemical types. In this study, different algorithms (∆Ct, geNorm, NormFinder and BestKeeper) were used to evaluate the stability of the candidate reference genes, and RefFinder further merged the output data to screen out the optimum reference gene under various experimental conditions in . The results showed that the optimal reference gene number for gene standardization was 2 under different experimental conditions. | was the most suitable combination under the Nacl-treated and PEG-treated samples. | was the optimum combination under the Cold-treated samples. The optimal combinations of other samples were | for different tissues, -| for different borneol clones in , | for leaves at different developmental stages and | for all samples. Additionally, two terpenoid synthesis-related genes ( and ) were standardized to verify the feasibility of the selected reference genes under different experimental conditions. This study will be helpful for the subsequent molecular genetic mechanism study of .

摘要

近年来,生物技术的进步使得生物学领域对基因组学研究产生了浓厚的兴趣。基因表达模式分析在这一研究中起着至关重要的作用,因为它使我们能够理解基因表达的调控机制以及相关的生物学过程。实时定量聚合酶链反应(q-PCR)是分析基因表达模式的有效方法,其准确性依赖于参考基因的标准化分析。然而,许多研究表明,没有一种参考基因在所有条件下都是通用的,因此在特定条件下筛选合适的参考基因非常重要。

() 富含挥发性成分,具有很高的药用和经济价值。然而,关于该基因表达分析中参考基因筛选的知识还不够充分。针对这一问题,我们评估和筛选了不同实验条件下(包括不同非生物胁迫处理、不同组织、不同发育阶段的叶片以及不同化学类型)的参考基因。本研究采用不同算法(∆Ct、geNorm、NormFinder 和 BestKeeper)评估候选参考基因的稳定性,RefFinder 进一步合并输出数据,筛选出各种实验条件下的最佳参考基因。结果表明,不同实验条件下基因标准化的最佳参考基因数量为 2 个。|在 Nacl 处理和 PEG 处理的样品中是最适合的组合。|在冷处理的样品中是最佳组合。其他样品的最佳组合分别为:不同组织为|,不同龙脑型克隆为|-|,不同发育阶段的叶片为|,所有样品为|。此外,对两个萜类合成相关基因(和)进行标准化,以验证所选参考基因在不同实验条件下的可行性。本研究将有助于后续对的分子遗传机制研究。

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