Skip to main content
Log in

Evaluating different approaches for the quantification of oomycete apple replant pathogens, and their relationship with seedling growth reductions

  • Published:
European Journal of Plant Pathology Aims and scope Submit manuscript

Abstract

Investigations into inoculum sources and disease management strategies require effective pathogen quantification techniques, which should ideally also be reflective of the extent of plant damage. The current study investigated whether determination of relative pathogen DNA quantity in root tissue can improve the assessment of plant damage by several oomycete apple replant pathogens when compared to absolute DNA quantifications and percent roots infected. Published real-time quantitative PCR (qPCR) assays were utilized to quantify pathogen DNA, except for Phytopythium vexans for which a new qPCR assay was developed. Relative pathogen DNA quantifications employed a mutated Escherichia coli gene spiked into the DNA extraction buffer. Pathogen quantifications were not improved through relative DNA quantifications since relative DNA quantities were highly and significantly correlated with absolute pathogen DNA quantities. This was evident from: (i) glasshouse experiments where five oomycete apple replant disease pathogens (Pythium sylvaticum, Pythium irregulare, Pythium ultimum, P. vexans and Phytophthora cactorum) were quantified from artificially inoculated apple seedlings roots, and (ii) quantification of P. irregulare from naturally-infected nursery tree roots. Relative- and absolute pathogen DNA quantities in infected glasshouse seedling roots (all five species) and nursery tree roots (P. irregulare), were furthermore significantly correlated with percent roots infected. Pathogen root DNA quantities (relative and absolute) obtained from the fine feeder root systems of seedlings from the glasshouse trials were significantly negatively correlated with increase in seedling length for P. sylvaticum, P. vexans and P. ultimum infected seedlings. This, however, was not true for P. cactorum and P. irregulare. The percent infected roots also had a significant negative correlation with increase in seedling length for P. sylvaticum, P. vexans and P. ultimum and P. irregulare, but not for P. cactorum.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Adhikari, B.N., Hamilton, J.P., Zerillo, M.M., Tisserat, N., Lvesque, A. and Buel, C.R. 2013. Comparative genomics reveals insight into virulence strategies of plant pathogenic oomycetes. PLoS One. https://doi.org/10.1371/journal.pone.0075072

  • Catal, M., Erler, F., Fulbright, D. W., & Adams, G. C. (2013). Real-time quantitative PCR assays for evaluation of soybean varieties for resistance to the stem and root rot pathogen Phytophthora sojae. European Journal of Plant Pathology, 137, 859–869.

    Article  CAS  Google Scholar 

  • Daniell, T., Davidson, J., Alexander, C., Caul, S., & Roberts, D. (2012). Improved real-time PCR estimation of gene copy number in soil extracts using an artificial reference. Journal of Microbiological Methods, 91, 38–44.

    Article  CAS  PubMed  Google Scholar 

  • Emmett, B., Nelson, E. B., Kessler, A., & Bauerle, T. L. (2014). Fine-root system development and susceptibility to pathogen colonization. Planta, 239, 325–340.

    Article  CAS  PubMed  Google Scholar 

  • Engelbrecht, J., Duing, T. A., & Van den Berg, N. (2013). Development of a nested quantitative real-time PCR for detecting Phytophthora cinnamomi in Persea americana rootstocks. Plant Disease, 97, 1012–1017.

    Article  CAS  PubMed  Google Scholar 

  • Erwin, D. C., & Ribeiro, O. K. (1996). Phytophthora diseases worldwide. APS Press, St. Paul, Minnesota, USA.

  • Eshraghi, L., Aryamanseh, N., Anderson, J. P., Shearer, B., McComb, J. A., Hardy, G. E. S. J., & O’Brien, P. A. (2011). A quantitative PCR assay for accurate in planta quantification of the necrotrophic pathogen Phytophthora cinnamomi. European Journal of Plant Pathology, 131, 419–430.

    Article  CAS  Google Scholar 

  • Fall, M. L., Tremblay, D. M., Gobeil-Richard, M., Couillard, J., Rocheleau, H., Van der Heyden, H., Levesque, C. A., Beaulieu, C., & Carisse, O. (2015). Infection efficiency of four Phytophthora infestans clonal lineages and DNA-based quantification of sporangia. PLoS One, 10, e0136312. https://doi.org/10.1371/journal.pone.0136312.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Halliday, E., Griffith, J. F., & Gast, R. J. (2010). Use of an exogenous plasmid standard and quantitative PCR to monitor spatial and temporal distribution of Enterococcus spp. in beach sands. Methods, 8, 146–154.

    CAS  Google Scholar 

  • Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., Buxton, S., Cooper, A., Markowitz, S., Duran, C., & Thierer, T. (2012). Geneious basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics, 28, 1647–1649.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kernaghan, G., Reeleder, R., & Hoke, S. (2008). Quantification of Pythium populations in ginseng soils by culture dependent and real-time PCR methods. Applied Soil Ecology, 40, 447–455.

    Article  Google Scholar 

  • Klerks, M. M., van Bruggen, A. H., Zijlstra, C., & Donnikov, M. (2006). Comparison of methods of extracting salmonella enterica serovar enteritidis dna from environmental substrates and quantification of organisms by using a general internal procedural control. Applied and Environmental Microbiology, 72, 3879–3886.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lamprecht, S. C. (1986). A new disease of Medicago truncatula caused by Cylindrocladium scoparium. Phytophylactica, 18, 111–114.

    Google Scholar 

  • Le Floch, G., Tambong, J., Vallance, J., Tirilly, Y., Levesque, A., & Rey, P. (2007). Rhizosphere persistence of three Pythium Oligandrum strains in tomato soilless culture assessed by DNA macroarray and real-time PCR. FEMS Microbiology Ecology, 61, 317–326.

    Article  CAS  PubMed  Google Scholar 

  • Li, M., Inada, M., Watanabe, H., Suga, H., & Kageyama, K. (2013). Simultaneous detection and quantification of Phytophthora nicotianae and P. cactorum, and distribution analyses in strawberry greenhouses by duplex real-time PCR. Microbes and Environments, 28, 195–203.

    Article  PubMed  PubMed Central  Google Scholar 

  • Matheron, M., Young, J., & Matejka, J. (1988). Phytophthora root and crown rot in apple trees in Arizona. Plant Disease, 72, 481–484.

    Article  Google Scholar 

  • Mazzola, M. (1998). Elucidation of the microbial complex having a causal role in the development of apple replant disease in Washington. Phytopathology, 88, 930–938.

    Article  CAS  PubMed  Google Scholar 

  • Mazzola, M., & Manici, L. M. (2012). Apple replant disease: Role of microbial ecology in cause and control. Annual Review of Phytopathology, 50, 45–65.

    Article  CAS  PubMed  Google Scholar 

  • Mazzola, M., Brown, J., Zhao, X., Izzo, A. D., & Fazio, G. (2009). Interaction of Brassicaceous seed meal and apple rootstock on recovery of Pythium spp. and Pratylenchus penetrans from roots grown in replant soils. Plant Disease, 93, 51–57.

    Article  PubMed  Google Scholar 

  • Mazzola, M., Hewavitharana, S. S., & Strauss, S. L. (2015). Brassica seed meal soil amendments transform the rhizosphere microbiome and improve apple production through resistance to pathogen reinfestation. Phytopathology, 105, 460–469.

    Article  CAS  PubMed  Google Scholar 

  • Mendes, R., Garbeva, P., & Raaijmakers, J. M. (2013). The rhizosphere microbiome: Significance of plant beneficial, plant pathogenic, and human pathogenic microorganisms. FEMS Microbiological Reviews, 37, 634–663.

    Article  CAS  Google Scholar 

  • Moein, S. (2016). Quantification of apple replant pathogens from roots, and their occurrence in irrigation water and nursery trees. MSc thesis, Stellenbosch University, South Africa, 124pp.

  • Ott, R.L. 1998. An Introduction to Statistical methods and data analysis. Belmont, California: Duxbury Press: 807–837.

  • Okubara, P. A., Schroeder, K. L., & Paulitz, T. C. (2005). Real-time polymerase chain reaction: Applications to studies on soilborne pathogens. Canadian Journal of Plant Pathology, 27, 300–313.

    Article  CAS  Google Scholar 

  • Schena, L., Duncan, J., & Cooke, D. (2008). Development and application of a PCR-based ‘molecular tool box’ for the identification of Phytophthora species damaging forests and natural ecosystems. Plant Pathology, 57, 64–75.

    CAS  Google Scholar 

  • Schena, L., Li Destri Nicosia, M. G. L., Sanzabi, S. M., Faedda, R., Ippolito, A., & Cacciola, S. O. (2013). Development of quantitative PCR detection methods for phytopathogenic fungi and oomycetes. Journal of Plant Pathology, 95, 7–24.

    Google Scholar 

  • Schroeder, K., Okubara, P., Tambong, J., Lévesque, C., & Paulitz, T. (2006). Identification and quantification of pathogenic Pythium spp. from soils in eastern Washington using real-time polymerase chain reaction. Phytopathology, 96, 637–647.

    Article  CAS  PubMed  Google Scholar 

  • Shapiro, S. S. & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67, 215–216.

  • Spies, C. F. J., Mazzola, M., & McLeod, A. (2011). Characterisation and detection of Pythium and Phytophthora species associated with grapevines in South Africa. European Journal of Plant Pathology, 131, 103–119.

    Article  Google Scholar 

  • Tewoldemedhin, Y. T., Mazzola, M., Labuschagne, I., & McLeod, A. (2011a). A multi-phasic approach reveals that apple replant disease is caused by multiple biological agents, with some agents acting synergistically. Soil Biology and Biochemistry, 43, 1917–1927.

    Article  CAS  Google Scholar 

  • Tewoldemedhin, Y. T., Mazzola, M., Botha, W. J., Spies, C. F. J., & McLeod, A. (2011b). Characterization of fungi (Fusarium and Rhizoctonia) and oomycetes (Phytophthora and Pythium) associated with apple orchards in South Africa. European Journal of Plant Pathology, 130, 215–229.

    Article  CAS  Google Scholar 

  • Tewoldemedhin, Y. T., Mazzola, M., Mostert, L., & McLeod, A. (2011c). Cylindrocarpon species associated with apple tree roots in South Africa and their quantification using real-time PCR. European Journal of Plant Pathology, 129, 637–651.

    Article  Google Scholar 

  • Untergrasser, A., Cutcutache, I., Koressaar, T., Ye, J., Faircloth, B. C., Remm, M., & Rozen, S. G. (2012). Primer 3—new capabilities and interfaces. Nucleic Acids Research, 40, 115–116.

    Article  CAS  Google Scholar 

  • Utkhede, R., Smith, E., & Palmer, R. (1992). Effect of root rot fungi and root-lesion nematodes on the growth of young apple trees grown in apple replant disease soil. Plant Disease and Protection, 99, 414–419.

    Google Scholar 

  • Vandemark, G. J., & Barker, B. M. (2003). Quantifying Phytophthora medicaginis in susceptible and resistant alfafa with a real-time fluorescent PCR assay. Journal of Phytopathology, 151, 577–583.

    Article  CAS  Google Scholar 

  • Vandemark, G. J., & Grünwald, N. J. (2005). Use of real-time PCR to examine the relationship between disease severity in pea and Aphanomyces euteiches DNA content in roots. European Journal of Plant Pathology, 111, 309–316.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We would like to thank the South African Apple and Pear Producer’s Association (SAAPPA), the Technology and Human Resources for Industry Programme (THRIP) for financially supporting the research. We would also like to thank Marieta Van der Rijst (Agricultural Research Council, Biometry Unit, Stellenbosch, South Africa) for statistical analyses of the data, and C. A. Lévesque (Central Experimental Farm, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada) for providing the putative inositol polyphosphate 5-phosphatase gene sequences of various Pythium spp.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. McLeod.

Ethics declarations

Our manuscript “Evaluating different approaches for the quantification of oomycete apple replant pathogens, and their relationship with seedling growth reductions” has no potential conflicts of interest (financial or non-financial) and did not involve research with human participants and/or animals.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moein, S., Mazzola, M., Spies, C.F.J. et al. Evaluating different approaches for the quantification of oomycete apple replant pathogens, and their relationship with seedling growth reductions. Eur J Plant Pathol 154, 243–257 (2019). https://doi.org/10.1007/s10658-018-01652-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10658-018-01652-4

Keywords

Navigation