Selection and validation of stable reference genes in guava (Psidium guajava L.) for reliable and consistent gene expression analysis

IF 2.3 4区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Sandeep Kumar , Manoharan Muthukumar , Anju Bajpai , Amar Kant Kushwaha , Israr Ahmad , Yashi Bajpai , Anshuman Singh , Thukkaram Damodaran , Mala Trivedi
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引用次数: 0

Abstract

Background

Ideal stably expressing housekeeping gene to be used as internal control needs to be optimized for efficient gene expression analysis for accurate mRNA quantitation. In pursuit of identifying suitable reference genes for gene expression analysis in guava, a systematic study was conducted using different tissues of guava cv. Allahabad Safeda examining 10 housekeeping genes such as Actin (PgACT), Elongation factor 1G (PgEF1G), Elongation factor 2 (PgEF2), Tubulin (PgTUB1), Elongation factor 1 α (PgEF1a), Monensin sensitivity1 (PgMON1), Histone H3 (PgH3), RNA-binding protein 47 (PgRBP47), Polyubiquitin_X1 (PgPOLX1), and Polyubiquitin_X2 (PgPOLX2).

Results

qRT-PCR analysis showed amplification efficiencies ranging from 74.4% to 124.9%, with correlation coefficients exceeding 0.98. The stability of these genes’ expression was evaluated using six methods: GeNorm, NormFinder, BestKeeper, RefFinder, comparative delta-Ct, and Stability index in which different methods identified PgRBP47 as least stable and indicated its unsuitability as a reference gene but showed variations in the ranking of the genes for gene stability.

Conclusions

Comparison of all the methods and accounting for the top 3 ranks of gene stability, three genes i.e., PgTUB1, PgEF1a, and PgEF2 were identified as more stable housekeeping genes across different tissues of guava and could be considered as ideal reference genes for normalization in gene expression studies of guava.
How to cite: Kumar S, Muthukumar M, Bajpai A, et al. Selection and validation of stable reference genes in guava (Psidium guajava L.) for reliable and consistent gene expression analysis. Electron J Biotechnol 2025;75. https://doi.org/10.1016/j.ejbt.2025.01.006.

Abstract Image

背景为了进行高效的基因表达分析,准确定量 mRNA,需要优化理想的稳定表达的管家基因作为内对照。为了确定适合番石榴基因表达分析的参考基因,研究人员利用番石榴品种 Allahabad Safeda 的不同组织进行了一项系统研究。研究人员利用 Allahabad Safeda 番石榴品种的不同组织进行了系统研究,检测了 10 个看家基因,如肌动蛋白(PgACT)、伸长因子 1G(PgEF1G)、伸长因子 2(PgEF2)、微管蛋白(PgTUB1)、延长因子 1 α (PgEF1a)、莫能菌素敏感性 1 (PgMON1)、组蛋白 H3 (PgH3)、RNA 结合蛋白 47 (PgRBP47)、多泛素_X1 (PgPOLX1) 和多泛素_X2 (PgPOLX2)。结果qRT-PCR分析显示扩增效率从74.4%到124.9%不等,相关系数超过0.98。使用六种方法评估了这些基因表达的稳定性:不同的方法将 PgRBP47 鉴定为最不稳定的基因,并指出其不适合作为参考基因,但在基因稳定性的排名上显示出差异、PgTUB1、PgEF1a 和 PgEF2 是番石榴不同组织中较稳定的看家基因,可作为番石榴基因表达研究中理想的归一化参考基因:Kumar S, Muthukumar M, Bajpai A, et al. 在番石榴(Psidium guajava L.)中选择和验证稳定的参考基因以进行可靠一致的基因表达分析。Electron J Biotechnol 2025;75. https://doi.org/10.1016/j.ejbt.2025.01.006.
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来源期刊
Electronic Journal of Biotechnology
Electronic Journal of Biotechnology 工程技术-生物工程与应用微生物
CiteScore
5.60
自引率
0.00%
发文量
50
审稿时长
2 months
期刊介绍: Electronic Journal of Biotechnology is an international scientific electronic journal, which publishes papers from all areas related to Biotechnology. It covers from molecular biology and the chemistry of biological processes to aquatic and earth environmental aspects, computational applications, policy and ethical issues directly related to Biotechnology. The journal provides an effective way to publish research and review articles and short communications, video material, animation sequences and 3D are also accepted to support and enhance articles. The articles will be examined by a scientific committee and anonymous evaluators and published every two months in HTML and PDF formats (January 15th , March 15th, May 15th, July 15th, September 15th, November 15th). The following areas are covered in the Journal: • Animal Biotechnology • Biofilms • Bioinformatics • Biomedicine • Biopolicies of International Cooperation • Biosafety • Biotechnology Industry • Biotechnology of Human Disorders • Chemical Engineering • Environmental Biotechnology • Food Biotechnology • Marine Biotechnology • Microbial Biotechnology • Molecular Biology and Genetics •Nanobiotechnology • Omics • Plant Biotechnology • Process Biotechnology • Process Chemistry and Technology • Tissue Engineering
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