Genome-wide identification and validation of reference genes in infected tomato leaves for quantitative RT-PCR analyses

Oliver A. Müller, Jan Grau, Sabine Thieme, Heike Prochaska, Norman Adlung, Anika Sorgatz, Ulla Bonas (Corresponding Author)

Research output: Contribution to journalArticleScientificpeer-review

40 Citations (Scopus)

Abstract

The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the plant transcriptome. Quantitative RT-PCR (qRT-PCR) is usually the method of choice to analyze transcriptional changes of selected plant genes. Reliable results depend, however, on measuring stably expressed reference genes that serve as internal normalization controls. We identified the most stably expressed tomato genes based on microarray analyses of Xcv-infected tomato leaves and evaluated the reliability of 11 genes for qRT-PCR studies in comparison to four traditionally employed reference genes. Three different statistical algorithms, geNorm, NormFinder and BestKeeper, concordantly determined the superiority of the newly identified reference genes. The most suitable reference genes encode proteins with homology to PHD finger family proteins and the U6 snRNA-associated protein LSm7. In addition, we identified pepper orthologs and validated several genes as reliable normalization controls for qRT-PCR analysis of Xcv-infected pepper plants. The newly identified reference genes will be beneficial for future qRT-PCR studies of the Xcv-tomato and Xcv-pepper pathosystems, as well as for the identification of suitable normalization controls for qRT-PCR studies of other plant-pathogen interactions, especially, if related plant species are used in combination with bacterial pathogens.

Original languageEnglish
Article numbere0136499
JournalPLoS ONE
Volume10
Issue number8
DOIs
Publication statusPublished - 27 Aug 2015
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Genome-wide identification and validation of reference genes in infected tomato leaves for quantitative RT-PCR analyses'. Together they form a unique fingerprint.

Cite this