TRANSMISSION DYNAMICS OF A VIRUS IN A STAGE-STRUCTURED INSECT POPULATION

Citation
D. Goulson et al., TRANSMISSION DYNAMICS OF A VIRUS IN A STAGE-STRUCTURED INSECT POPULATION, Ecology, 76(2), 1995, pp. 392-401
Citations number
47
Categorie Soggetti
Ecology
Journal title
ISSN journal
00129658
Volume
76
Issue
2
Year of publication
1995
Pages
392 - 401
Database
ISI
SICI code
0012-9658(1995)76:2<392:TDOAVI>2.0.ZU;2-F
Abstract
Despite the blossoming interest in host-microparasite epidemiology, an d in use of viruses in the biological control of insect pests, few emp irical studies have attempted to quantify transmission and mortality r ates under field conditions. We report a laboratory and field study in which the transmission parameter (nu) and mortality rate (alpha) due to nuclear polyhedrosis virus (NPV) are measured in different larval i nstars of the cabbage moth, Mamestra brassicae (Lepidoptera: Noctuidae ), Laboratory studies of food consumption and virus susceptibility wer e used to produce crude estimates of relative transmission rates in su ccessive instars. Increases in the rate of feeding outstrip increases in virus resistance with instar, so we predict that transmission rates should increase in older larvae (assuming rate of intake of virus to be proportional to rate of feeding). This prediction was tested in a f ield experiment in which a constant initial density of susceptible and infected (moribund) larvae were reared together on cabbage plants for 2-8 d. Estimates of the linear transmission parameter (nu) did not di ffer between instars and gave a mean value of 2.16 x 10(-12) for all i nstars and time points. Causes for the discrepancy between predictions based on laboratory data and field measurements are discussed. Differ ences were found between instars in the time from infection to death ( tau) (equivalent to 1/alpha, where alpha is the rate of mortality due to viral infection). Second-instar larvae died more rapidly once infec ted than third instars, which, in turn, died more rapidly than fourth instars. The effect of host population stage structure on patterns of viral infection can be pronounced and if recognized, may significantly increase the accuracy and predictive value of models of host pathogen systems.