Advertisement

Biology Bulletin

, Volume 45, Issue 4, pp 345–350 | Cite as

Parasitic Nematode Abundance Aggregation as a Mechanism of the Adaptive Response of the Host Plant to Temperature Variations

  • E. P. Ieshko
  • E. M. Matveeva
  • V. V. Seiml-Buchinger
  • Yu. L. Pavlov
Plant Physiology
  • 18 Downloads

Abstract

The mathematical model of host–parasite relations suggested previously by the authors was applied to analyze the formation of the aggregated distribution of parasites in the case of the host plant–parasitic nematode system. For nearly the same conditions and empirical infection levels, nematode abundances in the host population followed the gamma distribution. Exposure to temperature stresses modifies the resistance of the plant population to infection. Experiments with prolonged chilling of potato plants prior to nematode infestation revealed no statistically reliable increase in the share of resistant plants compared to the control, although the mean and the range of variation of the infection rate, as well as the aggregation of the parasite distribution, decreased. Short-term chilling of the plants prior to infestation led to a reliable decrease in the mean abundance of parasites and to the lowest aggregation of the parasitic nematode in the host plant population. The results of this study showed that this temperature stress caused potatoes to develop a reliably high and uniform resistance to the nematode.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anderson, R.M. and May, R.M., Regulation and stability of host–parasite population interactions. I. Regulatory processes, J. Animal Ecol., 1978, vol. 47, pp. 219–247.CrossRefGoogle Scholar
  2. Bohan, D.A., Spatial structuring and frequency distribution of the nematode Steinernema feltiae Filipjev, Parasitology, 2002, vol. 121, pp. 417–425.CrossRefGoogle Scholar
  3. Bradley, D.J., Regulation of parasite populations. A general theory of the epidemiology and control of parasite infection, Transact. Roy. Soc. Tropical Med. Hygiene, 1972, vol. 66, pp. 697–708.CrossRefGoogle Scholar
  4. Crofton, H.D., A quantitative approach to parasitism, Parasitology, 1971a, vol. 62, pp. 178–193.Google Scholar
  5. Crofton, H.D., A model of host–parasite relationships, Parasitology, 1971b, vol. 63, pp. 343–364.CrossRefPubMedGoogle Scholar
  6. Hansen, F., Jeltsch, F., Tackmann, K., Staubach, C., and Thulke, H.-H., Processes leading to a spatial aggregation of Echinococcus multilocularis in its natural intermediate host Microtus arvalis, Int. J. Parasitol., 2004, vol. 34, pp. 37–44.CrossRefPubMedGoogle Scholar
  7. Ieshko, E.P. and Matveeva, E.M., Modeling the dynamics and distribution of the number of the potato parasite nematode Globodera rostochiensis, in Mater. IX simpoz. Ros. ob-va nematologov s mezhdunar. uchastiem “Nematody estestvennykh i transformirovannykh ekosistem” (Proc. IX Symp. Ross. Soc. Nematologists with Int. Particip. “Nematodes of Natural and Transformed Ecosystems”), Petrozavodsk: PIN, 2011, pp. 61–62.Google Scholar
  8. Ieshko, E.P. and Pavlov, Yu.L., Introduction to quantitative parasitology, in Kratkii spetskurs po nematologii (A Short Special Course in Nematology), Petrozavodsk: PIN, 2011, pp. 70–82.Google Scholar
  9. Ieshko, E.P., Matveeva, E.M., and Gruzdeva, L.I., Experimental study of population aspects of the host–parasite interaction using the potato–golden nematode Globodera rostochiensis interaction as an example, Parazitologiya, 1999, vol. 33, no. 4, pp. 340–349.Google Scholar
  10. Ieshko, E.P., Anikanova, V.S., and Pavlov, Yu.L., Features of the distribution of the number of cestode Ditestolepis diaphana (Cholodkowsky, 1906) in the common shrew (Sorex araneus L., 1758) population in Karelia, Tr. KarNTs RAN, Petrozavodsk, 2008, no. 13, pp. 57–64.Google Scholar
  11. Ieshko, E.P., Bugmyrin, S.V., Anikanova, V.S., and Pavlov, Yu.L., Features of the dynamics and distribution of the number of parasites of small mammals, Tr. Zool. Inst. RAN, 2009, vol. 313, no. 3, pp. 319–328.Google Scholar
  12. Ieshko, E.P., Matveeva, E.M., and Lavrova, V.V., Characteristics of the potato cyst nematode distribution across the host population under temperature variations, in Abstr. Eleventh Int. Sympos. Russ. Soc. Nematologists (Russia, Cheboksary, July 6–11, 2015), Russ. J. Nematol., 2015, vol. 23, no. 2, p. 156.Google Scholar
  13. Karvonen, A., Hudson, P.J., Seppala, O., and Valtonen, E.T., Transmission dynamics of a trematode parasite: exposure, acquired resistance and parasite aggregation, Parasitol. Res., 2004, vol. 92, pp. 183–188.CrossRefPubMedGoogle Scholar
  14. Keymer, A.E. and Anderson, R.M., The dynamics of infection of Tribolium confusum by Hymenolepis diminuta: the influence of infective-stage density and spatial distribution, Parasitology, 1979, vol. 79, pp. 195–207.CrossRefPubMedGoogle Scholar
  15. Kontrimavichus, V.L., Modern problems of ecological parasitology, Zh. Obshch. Biol., 1982, vol. 43, no. 6, pp. 764–774.Google Scholar
  16. Lavrova, V.V. and Matveeva, E.M., Temperature as management strategy for plant-parasitic nematode Globodera rostochiensis Woll., in Abstr. Eleventh Int. Sympos. Russ. Soc. Nematologists (Russia, Cheboksary, July 6–11, 2015), Russ. J. Nematol., 2015, vol. 23, no. 2, p. 160.Google Scholar
  17. Lavrova, V.V., Matveeva, E.M., and Zinovieva, S.V., Expression of genes, encoded defense proteins, in potato plants infected with the cyst-forming nematode Globodera rostochiensis (Wollenweber 1923) Behrens, 1975 and modulation of their activity during short-term exposure to low temperatures, Biol. Bull., 2017, vol. 44, no. 2, pp. 128–136.CrossRefGoogle Scholar
  18. Margolis, L., Esch, G.W., Holmes, J.C., Kuris, A.M., and Schad, G.A., The use of ecological terms in parasitology (Rept. Ad Hoc Comm. Am. Soc. Parasitologists), J. Parasitol., 1982, vol. 68, no. 1, pp. 131–133.CrossRefGoogle Scholar
  19. Matveeva, E.M. and Ieshko, E.P., Ecological-population aspects of the parasite–host relationship under various infection conditions, in Mater. mezhdunar. konf., posvyashchennoi 60-letiyu KarNTs RAN “Severnaya Evropa v XXI veke: priroda, kul’tura, ekonomika” (Proc. Int. Conf. Devoted to the 60th Anniversary of the Karelian Research Center “Northern Europe in the 21st Century: Nature, Culture, and Economics”), Petrozavodsk: KarNTs RAN, 2006, vol. 1, pp. 145–147.Google Scholar
  20. Morrill, A. and Forbes, M.R., Aggregation of infective stages of parasites as an adaptation and its implications for the study of parasite–host interactions, Am. Natur., 2016, vol. 187, pp. 225–235.CrossRefPubMedGoogle Scholar
  21. Pavlov, Yu.L. and Ieshko, E.P., Parasite number distribution model, Dokl. Akad. Nauk SSSR, 1986, vol. 289, pp. 746–748.Google Scholar
  22. Poulin, R., Evolutionary Ecology of Parasites, Princeton: Univ. Press, 2007.Google Scholar
  23. Poulin, R., Explaining variability in parasite aggregation levels among host samples, Parasitology, 2013, vol. 140, pp. 541–546.CrossRefPubMedGoogle Scholar
  24. Seinhorst, J.W., Methods for the extraction of Heterodera cysts from not previously dried soil samples, Nematologica, 1964, vol. 10, pp. 87–94.CrossRefGoogle Scholar
  25. Shaw, D.J. and Dobson, A.P., Patterns of macroparasite abundance and aggregation in wildlife populations: a quantitative review, Parasitology, 1995, vol. 111, pp. 111–133.CrossRefGoogle Scholar
  26. Wilson, K., Bjørnstad, O.N., Dobson, A.P., Merler, S., Poglayen, G., Randolph, S.E., Read, A.F., and Skorping, A., in The Ecology of Wildlife Diseases, Hudson, P.J., Rizzoli, A., Grenfell, B.T., Heesterbeek, H., and Dobson, A.P., Eds., Oxford: Oxford Univ. Press, 2002, pp. 6–44.Google Scholar

Copyright information

© Pleiades Publishing, Inc. 2018

Authors and Affiliations

  • E. P. Ieshko
    • 1
  • E. M. Matveeva
    • 1
  • V. V. Seiml-Buchinger
    • 1
  • Yu. L. Pavlov
    • 2
  1. 1.Institute of Biology, Karelian Research CentreRussian Academy of SciencesPetrozavodskRussia
  2. 2.Institute of Applied Mathematical Research, Karelian Research CentreRussian Academy of SciencesPetrozavodskRussia

Personalised recommendations