Reference Genes in the Pathosystem Phakopsora pachyrhizi/Soybean Suitable for Normalization in Transcript Profiling

被引:15
|
作者
Hirschburger, Daniela [1 ]
Mueller, Manuel [1 ]
Voegele, Ralf T. [1 ]
Link, Tobias [1 ]
机构
[1] Univ Hohenheim, Fac Agr Sci, Inst Phytomed, Dept Phytopathol, D-70599 Stuttgart, Germany
来源
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES | 2015年 / 16卷 / 09期
关键词
Phakopsora pachyrhizi; RT-qPCR; reference gene; HIGS; VIGS; effector; ASIAN SOYBEAN RUST; UROMYCES-FABAE; CAUSAL AGENT; PCR; EXPRESSION; PLANTA; QUANTIFICATION; RESISTANCE; VECTOR; FUNGI;
D O I
10.3390/ijms160923057
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Phakopsora pachyrhizi is a devastating pathogen on soybean, endangering soybean production worldwide. Use of Host Induced Gene Silencing (HIGS) and the study of effector proteins could provide novel strategies for pathogen control. For both approaches quantification of transcript abundance by RT-qPCR is essential. Suitable stable reference genes for normalization are indispensable to obtain accurate RT-qPCR results. According to the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines and using algorithms geNorm and NormFinder we tested candidate reference genes from P. pachyrhizi and Glycine max for their suitability in normalization of transcript levels throughout the infection process. For P. pachyrhizi we recommend a combination of CytB and PDK or GAPDH for in planta experiments. Gene expression during in vitro stages and over the whole infection process was found to be highly unstable. Here, RPS14 and UbcE2 are ranked best by geNorm and NormFinder. Alternatively CytB that has the smallest Cq range (Cq: quantification cycle) could be used. We recommend specification of gene expression relative to the germ tube stage rather than to the resting urediospore stage. For studies omitting the resting spore and the appressorium stages a combination of Elf3 and RPS9, or PKD and GAPDH should be used. For normalization of soybean genes during rust infection Ukn2 and cons7 are recommended.
引用
收藏
页码:23057 / 23075
页数:19
相关论文
共 50 条
  • [41] Validation of Suitable Reference Genes for Expression Normalization in Echinococcus spp. Larval Stages
    Espinola, Sergio Martin
    Ferreira, Henrique Bunselmeyer
    Zaha, Arnaldo
    PLOS ONE, 2014, 9 (07):
  • [42] Identification of suitable reference genes for normalization of qPCR data in comparative transcriptomics analyses in the Triticeae
    María J. Giménez
    Fernando Pistón
    Sergio G. Atienza
    Planta, 2011, 233 : 163 - 173
  • [43] Assessment of Suitable Reference Genes for qRT-PCR Normalization in Eocanthecona furcellata (Wolff)
    Pan, Ying-Na
    Zhao, Ru-Na
    Fu, Di
    Yu, Chun
    Pan, Chun-Ni
    Zhou, Wei
    Chen, Wen-Long
    INSECTS, 2022, 13 (09)
  • [44] Identification of suitable reference genes for normalization of qPCR data in comparative transcriptomics analyses in the Triticeae
    Gimenez, Maria J.
    Piston, Fernando
    Atienza, Sergio G.
    PLANTA, 2011, 233 (01) : 163 - 173
  • [45] Identification and Validation of Reference Genes for Transcript Normalization in Strawberry (Fragaria x ananassa) Defense Responses
    Amil-Ruiz, Francisco
    Garrido-Gala, Jose
    Blanco-Portales, Rosario
    Folta, Kevin M.
    Munoz-Blanco, Juan
    Caballero, Jose L.
    PLOS ONE, 2013, 8 (08):
  • [46] Evaluation of New Reference Genes in Papaya for Accurate Transcript Normalization under Different Experimental Conditions
    Zhu, Xiaoyang
    Li, Xueping
    Chen, Weixin
    Chen, Jianye
    Lu, Wangjin
    Chen, Lei
    Fu, Danwen
    PLOS ONE, 2012, 7 (08):
  • [47] Reference Genes for Transcript Profiling in Uromyces appendiculatus during Urediospore Infection of Common Bean
    Link, T. I.
    MOLECULAR PLANT-MICROBE INTERACTIONS, 2019, 32 (10) : 173 - 173
  • [48] Testing reference genes for transcript profiling inUromyces appendiculatusduring urediospore infection of common bean
    Link, Tobias I.
    PLOS ONE, 2020, 15 (08):
  • [49] Selection of reference genes suitable for normalization of RT-qPCR data in glioma stem cells
    Dang, Weiqi
    Zhang, Xiang
    Ma, Qinghua
    Chen, Lu
    Cao, Mianfu
    Miao, Jingya
    Cui, Youhong
    Zhang, Xia
    BIOTECHNIQUES, 2020, 68 (03) : 130 - 137
  • [50] Innovative GenExpA software for selecting suitable reference genes for reliable normalization of gene expression in melanoma
    Hoja-Lukowicz, Dorota
    Maciazek, Dawid
    Koscielniak, Piotr
    Janik, Marcelina E.
    SCIENTIFIC REPORTS, 2022, 12 (01)