Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus

被引:0
|
作者
Li, Lulu [1 ]
Guo, Xiaofan [1 ]
Wang, Shouming [1 ]
机构
[1] Hubei Engn Univ, Coll Life Sci & Technol, Hubei Key Lab Qual Control Characterist Fruits & V, Xiaogan, Peoples R China
关键词
Inonotus obliquus; reference gene; RT-qPCR; gene expression; medicinal fungus; NORMALIZATION; IDENTIFICATION; PROGRESS;
D O I
10.3389/fmicb.2025.1500043
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Real-time quantitative reverse transcription PCR (RT-qPCR) is one of the most effective tools for studying gene expression. Inonotus obliquus is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. In this study, we selected 11 potential reference genes of Inonotus obliquus. Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. Under varying carbon sources, VPS exhibited good stability and was suitable as an internal reference gene. Under different nitrogen sources, RPB2 was the most stable reference gene. For varying growth factors, PP2A was the most stable reference gene. At different pH levels, UBQ showed the highest stability. Under different temperature conditions, RPL4 was the most stable. In different strains, RPL2 was the most stable reference gene, while VAS demonstrated the greatest stability across different growth stages. Overall, VPS was the most recommended reference gene for the entire sample set. This study provides a foundation for the further application of RT-qPCR in the gene expression analysis of Inonotus obliquus.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Selection and Evaluation of Reference Genes for qRT-PCR in Spodoptera frugiperda (Lepidoptera: Noctuidae)
    Han, Shipeng
    Qin, Qiuju
    Wang, Da
    Zhou, Yayuan
    He, Yunzhuan
    INSECTS, 2021, 12 (10)
  • [2] Selection and Validation of Reference Genes for qRT-PCR in Cycas elongata
    Hu, Yanting
    Deng, Tian
    Chen, Letian
    Wu, Hong
    Zhang, Shouzhou
    PLOS ONE, 2016, 11 (04):
  • [3] Identification and Evaluation of qRT-PCR Reference Genes in Melanaphis sacchari
    Zou, Kunliang
    Wang, Tonghan
    Guan, Minghui
    Liu, Yang
    Li, Jieqin
    Liu, Yanlong
    Du, Junli
    Wu, Degong
    INSECTS, 2024, 15 (07)
  • [4] Selection and validation of reference genes for qRT-PCR in cultivated octoploid strawberry
    Mao, Jianxin
    Li, Jiqi
    Wang, Yan
    Zhang, Zhihong
    FRUIT RESEARCH, 2024, 4
  • [5] Selection and evaluation of reference genes for qRT-PCR analysis of different developmental stages in Chilo suppressalis
    He, Fu-Jing
    Lu, Ming-Xing
    Du, Yu-Zhou
    JOURNAL OF ASIA-PACIFIC ENTOMOLOGY, 2021, 24 (04) : 1228 - 1234
  • [6] Identification and Evaluation of Reference Genes for qRT-PCR Normalization in Ganoderma lucidum
    Xu, Jiang
    Xu, ZhiChao
    Zhu, YingJie
    Luo, HongMei
    Qian, Jun
    Ji, AiJia
    Hu, YuanLei
    Sun, Wei
    Wang, Bo
    Song, JingYuan
    Sun, Chao
    Chen, ShiLin
    CURRENT MICROBIOLOGY, 2014, 68 (01) : 120 - 126
  • [7] Evaluation of Reference Genes in Glenea cantor (Fabricius) by Using qRT-PCR
    Su, Ran-Ran
    Huang, Zhong-Yan
    Qin, Chao-Wei
    Zheng, Xia-Lin
    Lu, Wen
    Wang, Xiao-Yun
    GENES, 2021, 12 (12)
  • [8] Identification and Evaluation of Reference Genes for qRT-PCR Normalization in Ganoderma lucidum
    Jiang Xu
    ZhiChao Xu
    YingJie Zhu
    HongMei Luo
    Jun Qian
    AiJia Ji
    YuanLei Hu
    Wei Sun
    Bo Wang
    JingYuan Song
    Chao Sun
    ShiLin Chen
    Current Microbiology, 2014, 68 : 120 - 126
  • [9] Selection of reference genes for miRNA qRT-PCR under abiotic stress in grapevine
    Meng Luo
    Zhen Gao
    Hui Li
    Qin Li
    Caixi Zhang
    Wenping Xu
    Shiren Song
    Chao Ma
    Shiping Wang
    Scientific Reports, 8
  • [10] Selection of reference genes for miRNA qRT-PCR under abiotic stress in grapevine
    Luo, Meng
    Gao, Zhen
    Li, Hui
    Li, Qin
    Zhang, Caixi
    Xu, Wenping
    Song, Shiren
    Ma, Chao
    Wang, Shiping
    SCIENTIFIC REPORTS, 2018, 8