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      Evaluation of Potential Reference Genes for Quantitative RT-PCR Analysis in Fusarium graminearum under Different Culture Conditions

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      https://www.riss.kr/link?id=A104496416

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      다국어 초록 (Multilingual Abstract)

      The filamentous fungus Fusarium graminearum is an important cereal pathogen. Although quantitative realtime PCR (qRT-PCR) is commonly used to analyze the expression of important fungal genes, no detailed validation of reference genes for the normaliza...

      The filamentous fungus Fusarium graminearum is an important cereal pathogen. Although quantitative realtime PCR (qRT-PCR) is commonly used to analyze the expression of important fungal genes, no detailed validation of reference genes for the normalization of qRT-PCR data has been performed in this fungus.
      Here, we evaluated 15 candidate genes as references,including those previously described as housekeeping genes and those selected from the whole transcriptome sequencing data. By a combination of three statistical algorithms (BestKeeper, geNorm, and NormFinder),the variation in the expression of these genes was assessed under different culture conditions that favored mycelial growth, sexual development, and trichothecene mycotoxin production. When favoring mycelial growth,GzFLO and GzUBH expression were most stable in complete medium. Both EF1A and GzRPS16 expression were relatively stable under all conditions on carrot agar, including mycelial growth and the subsequent perithecial induction stage. These two genes were also most stable during trichothecene production. For the combined data set, GzUBH and EF1A were selected as the most stable. Thus, these genes are suitable reference genes for accurate normalization of qRT-PCR data for gene expression analyses of F. graminearum and other related fungi.

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      참고문헌 (Reference)

      1 Hellemans, J., "qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data" 8 : 19-, 2007

      2 Dheda, K., "Validation of housekeeping genes for normalizing RNA expression in real-time PCR" 37 : 112-119, 2004

      3 Gutierrez, L, "The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants" 6 : 609-618, 2008

      4 Leslie, J. F, "The Fusarium lab manual" Blackwell 2006

      5 Cuomo, C. A, "The Fusarium graminearum genome reveals a link between localized polymorphism and pathogen specialization" 317 : 1400-1402, 2007

      6 McMullen, M., "Scab of wheat and barley: a re-emerging disease of devastating impact" 81 : 1340-1348, 1997

      7 Lysøe, E., "Real-time quantitative expression studies of the zearalenone biosynthetic gene cluster in Fusarium graminearum" 99 : 176-184, 2009

      8 Bustin, S. A, "Pitfalls of quantitative real-time reverse transcription polymerase chain reaction" 15 : 155-166, 2004

      9 Stephens, A. E., "Phases of Fusarium graminearum development and gene expression during crown rot disease of wheat" 21 : 1571-1581, 2008

      10 Gardiner, D. M., "Nutrient profiling reveals potent inducers of trichothecene biosynthesis in Fusarium graminearum" 46 : 604-613, 2009

      1 Hellemans, J., "qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data" 8 : 19-, 2007

      2 Dheda, K., "Validation of housekeeping genes for normalizing RNA expression in real-time PCR" 37 : 112-119, 2004

      3 Gutierrez, L, "The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants" 6 : 609-618, 2008

      4 Leslie, J. F, "The Fusarium lab manual" Blackwell 2006

      5 Cuomo, C. A, "The Fusarium graminearum genome reveals a link between localized polymorphism and pathogen specialization" 317 : 1400-1402, 2007

      6 McMullen, M., "Scab of wheat and barley: a re-emerging disease of devastating impact" 81 : 1340-1348, 1997

      7 Lysøe, E., "Real-time quantitative expression studies of the zearalenone biosynthetic gene cluster in Fusarium graminearum" 99 : 176-184, 2009

      8 Bustin, S. A, "Pitfalls of quantitative real-time reverse transcription polymerase chain reaction" 15 : 155-166, 2004

      9 Stephens, A. E., "Phases of Fusarium graminearum development and gene expression during crown rot disease of wheat" 21 : 1571-1581, 2008

      10 Gardiner, D. M., "Nutrient profiling reveals potent inducers of trichothecene biosynthesis in Fusarium graminearum" 46 : 604-613, 2009

      11 Gardiner, D. M., "Novel genes of Fusarium graminearum that negatively regulate deoxynivalenol production and virulence" 12 : 1588-1600, 2009

      12 Anderson, C. L., "Normal ization of real-time quantitative RT-PCR data: a model-based variance estimation approach to identify genes suited for normalization-applied to bladder and colon cancer datasets" 64 : 5245-5250, 2004

      13 Govindarajulu, M., "Nitrogen transfer in the arbuscular mycorrhizal symbiosis" 435 : 819-823, 2005

      14 Desjardins, A. E, "Molecular biology of Fusarium mycotoxins" 119 : 47-50, 2007

      15 Lee, S.-H., "Identification of the down-regulated genes in a mat1-2-deleted strain of Gibberella zeae, using cDNA subtraction and microarray analysis" ACADEMIC PRESS INC ELSEVIER SCIENCE 43 : 295-310, 2006

      16 Eisenberg, E, "Human housekeeping genes are compact" 19 : 362-365, 2003

      17 Lee, S.-H., "GzSNF1 Is Required for Normal Sexual and Asexual Development in the Ascomycete Gibberella zeae" AMER SOC MICROBIOLOGY 8 (8): 116-127, 2009

      18 Czechowski, T., "Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis" 139 : 5-17, 2005

      19 O’Donnell, K., "Gene genealogies reveal global phylogeographic structure and reproductive isolation among lineages of Fusarium graminearum, the fungus causing wheat scab" 97 : 7905-7910, 2000

      20 Hallen, H. E., "Gene expression shifts during perithecium development in Gibberella zeae (anamorph Fusarium graminearum), with particular emphasis on ion transport proteins" 44 : 1146-1156, 2007

      21 Pandolfi, V., "Gene expression profile of the plant pathogen Fusarium graminearum under the antagonistic effect of Pantoea agglomerans" 9 : 1298-1311, 2010

      22 Barber, R. D, "GAPDH as a housekeeping gene: analysis of GAPDH mRNA expression in a panel of 72 human tissues" 21 : 389-395, 2005

      23 Lord, J. C., "Evaluation of quantitative PCR reference genes for gene expression studies in Tribolium castaneum after fungal challenge" 80 : 219-221, 2010

      24 Olsvik, P. A., "Evaluation of potential reference genes in real-time RT-PCR studies of Atlantic salmon" 6 : 21-, 2005

      25 Güldener, U., "Development of a Fusarium graminearum Affymetrix GeneChip for profiling fungal gene expression in vitro and in planta" 43 : 316-325, 2006

      26 Pfaffl, M. W., "Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations" 26 : 509-515, 2004

      27 Suzuki, T, "Control selection for RNA quantitation" 29 : 332-337, 2000

      28 Lee, P. D., "Control genes and variability: absence of ubiquitous reference gene transcripts in diverse mammalian expression studies" 12 : 292-297, 2002

      29 Seong, K. Y., "Conidial germination in the filamentous fungus Fusarium graminearum" 45 : 389-399, 2008

      30 Chen, F., "Combined metabonomic and quantitative realtime PCR analyses reveal systems metabolic changes of Fusarium graminearum induced by Tri5 gene deletion" 10 : 2273-2285, 2011

      31 Vandesompele, J, "Accurate normalization of real-time quantitative PCR data by genometric averaging of multiple internal control genes" 3 : 34-, 2002

      32 Liu, X., "A sterol C-14 reductase encoded by FgERG24B is responsible for the intrinsic resistance of Fusarium graminearum to amine fungicides" 157 : 1665-1675, 2011

      33 Pfaffl, M. W, "A new mathematical model for relative quantification in real-time RT-PCR" 29 : 2002-2007, 2001

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      2016 1.14 0.32 0.84
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