基于转录组序列数据的苜蓿内参基因选择与验证。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Wenna Fan, Yaqi Shi, Pengfei Shi, Yixin Yang, Mengyao Zhang
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引用次数: 0

摘要

与传统的基因表达定量分析技术相比,RT-qPCR具有成本低、省时、准确等优点,应用最为广泛。在RT-qPCR实验中,引入合适的内参基因作为内参校正是降低不同样品RNA质量和反转录效率的关键。在我们的研究中,我们通过比较分析从转录组序列数据集(162个RNA-seq测序数据)中选择了候选的苜蓿内参基因。最终筛选出10个候选内参基因。通过RT-qPCR检测这些候选内参基因在干旱、碱、高温、低温和酸等5种非生物胁迫下的表达情况。使用GeNorm、Normfinder、Bestkeeper、ΔCt方法和在线分析工具RefFinder等特定软件和不同算法对候选基因的稳定性指数进行相应的计算和评价。然后严格筛选合适的候选基因;并被phyA基因验证。我们的研究结果表明,在不同的非生物胁迫下,GAPDH和Actin并不是苜蓿最合适的内参基因,在碱性胁迫下,最合适的内参基因是UBL-2a,最合适的内参基因组合是MS.65,463(部分候选内参基因尚未注释)。以苜蓿(Medicago sativa L.)和UBL-2a基因ID缩写号代替;干旱胁迫下,内参基因Ms.33,066最优,内参基因MS.65,463与UBL-2a最优组合;高温胁迫下,最优内参基因为Actin,内参基因的最优组合为Rer1、Actin、MS.00617、MS.74,923、UBL-2a、MS.33,066、MS.99,505、MS.65,463;低温胁迫下,最优内参基因为Actin,内参基因的最优组合为Rer1、Actin、ms . 99505、MS.073307和UBL-2a。最佳内参基因及其组合需要在酸性胁迫下进一步验证。为苜蓿基因的定量分析提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Selection and validation of reference genes in alfalfa based on transcriptome sequence data.

Selection and validation of reference genes in alfalfa based on transcriptome sequence data.

Selection and validation of reference genes in alfalfa based on transcriptome sequence data.

Selection and validation of reference genes in alfalfa based on transcriptome sequence data.

Compared with the traditional gene expression techniques of quantitative analysis, RT-qPCR is most widely used because of its low cost, time-saving, and accuracy. It is essential to introduce suitable internal reference genes as reference corrections in RT-qPCR experiments to reduce the RNA quality and reverse transcription efficiency of different samples. In our study, we chose the candidate internal reference genes of alfalfa from transcriptome sequence datasets (162 RNA-seq sequencing data) through comparative analysis. Finally, 10 candidate reference genes were selected. These candidate reference gene expressions were determined by RT-qPCR under five abiotic stresses of drought, alkali, high temperature, low temperature, and acid treatments. The stability index of these candidate genes was calculated and evaluated correspondently using specific software and different lgorithms, such as GeNorm, Normfinder, Bestkeeper, ΔCt method, and an online analysis tool RefFinder. Then the appropriate candidate genes were screened strictly; and validated by the phyA gene. GAPDH and Actin are taken as traditional reference genes on gene expression of quantitative analysis commonly used in alfalfa, Our results showed GAPDH and Actin aren't the most appropriate reference genes of alfalfa under different abiotic stresses, under alkaline stress, the optimal reference gene is UBL-2a, and the optimal combination of reference genes is MS.65,463 (some candidate reference genes haven't been annotated yet, using gene ID abbreviation number of Medicago sativa L. instead )and UBL-2a; Under drought stress, the optimal reference gene is Ms.33,066, and the optimal combination of reference genes is MS.65,463 and UBL-2a; Under high-temperature stress, the optimal reference gene is Actin, and the optimal combination of reference genes is Rer1, Actin, MS.00617, MS.74,923, UBL-2a, MS.33,066, MS.99,505, and MS.65,463; Under low-temperature stress, the optimal reference gene is Actin, and the optimal combination of reference genes is Rer1, Actin, MS.99,505, MS.073307, and UBL-2a. The optimal reference genes and their combinations need further validation under acid stress. This paper provides scientific evidence for quantitative analysis of the genes of alfalfa.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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