Abstract
An innovative quantitative PCR-based method derived from the Kompetitive Allele Specific PCR Assay Reagent (KASPar) system was developed to quantify the genomic DNA from two coexisting genotypes on the same tissues of a host-plant. For this purpose, the classical end-point KASPar method was evolved to a real-time method thanks to the addition of an adapted measurement step after each PCR cycle. It was applied to the quantification of the two genotypes G1 and G2 of the Gaeumannomyces graminis var. tritici (Ggt) soilborne fungus, pathogenic on wheat roots. Specific primers targeting a single nucleotide polymorphism from the ITS sequence were used allowing simultaneous quantification of both genotypes in the same reaction. The assays were applied to quantify fungal DNA of each genotype, aside or mixed together, after DNA extraction from fungal pure cultures and from single or co-inoculated roots in artificial medium or in soil. The detection and quantification lower limits for the two genotypes were 1.25 pg and 5 pg for DNA from fungal pure cultures, and 1.8 pg and 7 pg for DNA from fungal inoculated roots. The advantages of this cost-effective method are the high levels of specificity, sensitivity and reproducibility. Moreover, the accuracy of the method is independent of the copy numbers of the target sequences. The method is the first one to adapt the non-quantitative genotyping KASPar system to a quantitative application of two known genotypes of a species simultaneously and is suitable for simultaneous genotype-specific quantification of any other organisms (fungi, bacteria, plants).
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References
Augustin C, Ulrich K, Ward E, Werner A (1999) RAPD-based inter- and intravarietal classification of fungi of the Gaeumannomyces-Phialophora complex. J Phytopathol 147:109–117
Bateman GL, Ward E, Hornby D, Gutteridge RJ (1997) Comparisons of isolates of the take-all fungus, Gaeumannomyces graminis var. tritici, from different cereal sequences using DNA probes and non-molecular methods. Soil Biol Biochem 29:1225–1232
Bryan GT, Daniel MJ, Osbourn AE (1995) Comparison of fungi within the Gaeumannomyces-Phialophora complex by analysis of ribosomal DNA sequences. Appl Environ Microbiol 61:681–689
Canovas A, Rincon G, Islas-Trejo A, Wickramasinghe S, Medrano JF (2010) SNP discovery in the bovine milk transcriptome using RNA-Seq technology. Mamm Genome 21:592–598
Daval S, Lebreton L, Gazengel K, Guillerm-Erckelboudt A-Y, Sarniguet A (2010) Genetic evidence for differentiation of Gaeumannomyces graminis var. tritici into two major groups. Plant Pathol 59:165–178
Daval S, Lebreton L, Gazengel K, Boutin M, Guillerm-Erckelboudt A-Y, Sarniguet A (2011) The biocontrol bacterium Pseudomonas fluorescens Pf29Arp strain affects the pathogenesis-related gene expression of the take-all fungus Gaeumannomyces graminis var. tritici on wheat roots. Molec Plant Pathol 12:839–854
Feau N, Vialle A, Allaire M, Maier W, Hamelin RC (2011) DNA barcoding in the rust genus Chrysomyxa and its implications for the phylogeny of the genus. Mycologia 103:1250–1266
Freeman J, Ward E, Gutteridge RJ, Bateman GL (2005) Methods for studying population structure, including sensitivity to the fungicide silthiofam, of the cereal take-all fungus, Gaeumannomyces graminis var. tritici. Plant Pathol 54:686–698
Hietala AM, Eikenes M, Kvaalen H, Solheim H, Fossdal CG (2003) Multiplex real-time PCR for monitoring Heterobasidion annosum colonization in Norway Spruce clones that differ in disease resistance. Appl Environ Microbiol 69:4413–4420
Hoogendoorn B, Norton N, Kirov G, Williams N, Hamshere ML, Spurlock G, Austin J, Stephens MK, Buckland PR, Owen MJ, O’Donovan MC (2000) Cheap, accurate and rapid allele frequency estimation of single nucleotide polymorphisms by primer extension and DHPLC in DNA pools. Hum Genet 107:488–493
Hornbak M, Banasik K, Justesen JM, Krarup NT, Sandholt CH, Andersson A, Sandbaek A, Lauritzen T, Pisinger C, Witte DR, Sorensen TIA, Pedersen O, Hansen T (2011) The minor C-allele of rs2014355 in ACADS is associated with reduced insulin release following an oral glucose load. BMC Med Genet 12:4
Köhl J, Groenenboom-de Haas BH, Kastelein P, Rossi V, Waalwijk C (2009) Quantitative detection of pear-pathogenic Stemphylium vesicarium in orchads. Phytopathol 99:1377–1386
Kwok PY (2001) Methods for genotyping single nucleotide polymorphisms. Annu Rev Genomics Hum Genet 2:235–258
Lebreton L, Lucas P, Dugas F, Guillerm A-Y, Schoeny A, Sarniguet A (2004) Changes in population structure of the soilborne fungus Gaeumannomyces graminis var. tritici during continuous wheat cropping. Environ Microbiol 6:1174–1185
Lebreton L, Gosme M, Lucas P, Guillerm-Erckelboudt A-Y, Sarniguet A (2007) Linear relationship between Gaeumannomyces graminis var. tritici (Ggt) genotypic frequencies and disease severity on wheat roots in the field. Environ Microbiol 9:492–499
Lee SB, Milgroom MG, Taylor JW (1988) A rapid high yield mini prep method for isolation of total genomic DNA from fungi. Fungal Genet Newl 35:23–31
Lopez MM, Llop P, Olmos A, Marco-Noales E, Cambra M, Bertolini E (2009) Are molecular tools solving the challenger posed by detection of plant pathogenic bacteria and viruses? Curr Issues Mol Biol 11:13–46
Martin KJ, Rygiewicz PT (2005) Fungal-specific PCR primers developed for analysis of the ITS region of environmental DNA extracts. BMC Microbiol 5:21–28
Narayanasamy P (2011) Microbial plant pathogens—detection and disease diagnosis: fungal pathogens. Springer, New York
Psifidi A, Dovas C, Banos G (2011) Novel quantitative real-time LCR for the sensitive detection of SNP frequencies in pooled DNA: method development, evaluation and application. PLoS One 19:e14560
Qi M, Yang Y (2002) Quantification of Magnaporthe grisea during infection of rice plants using real-time polymerase chain reaction and northern blot / phosphoimaging analyses. Phytopathol 92:870–876
Schena L, Nigro F, Ippolito A, Gallitelli D (2004) Real-time quantitative PCR: a new technology to detect and study phytopathogenic and antagonistic fungi. Eur J Plant Pathol 110:893–908
Schoch CL, Seifert KA, Huhndorf S, Robert V, Spouge JL, Levesque CA, Chen W, Fungal Barcoding Consortium (2012) Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi. Proc Natl Acad Sci USA 109:6241–6246
Ward E, Gray RM (1992) Generation of a ribosomal DNA probe by PCR and its use in identification of fungi within the Gaeumannomyces-Phialophora complex. Plant Pathol 41:730–736
Ward E, Foster SJ, Fraaije BA, McCartney HA (2004) Plant pathogen diagnostics: immunological and nucleic acid-based approaches. Ann Appl Biol 145:1–16
Yu A, Geng H, Zhou X (2006) Quantify single nucleotide polymorphism (SNP) ratio in pooled DNA based on normalized fluorescence real-time PCR. BMC Genomics 7:143
Acknowledgments
This work was supported by grants from INRA (“Institut National de la Recherche Agonomique”), Plant Health and Environment division. We thank J. Wilson, a native English speaker and a professional translator, for her English revisions of the manuscript.
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Kévin Gazengel and Lionel Lebreton equal contributors
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Gazengel, K., Lebreton, L., Guillerm-Erckelboudt, AY. et al. Simultaneous monitoring of two fungal genotypes on plant roots by single nucleotide polymorphism quantification with an innovative KASPar quantitative PCR. Mycol Progress 12, 657–666 (2013). https://doi.org/10.1007/s11557-012-0872-4
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DOI: https://doi.org/10.1007/s11557-012-0872-4