| Literature DB >> 26989437 |
David Shapiro-Ilan1, Ben Raymond2.
Abstract
Cooperative secretion of virulence factors by pathogens can lead to social conflict when cheating mutants exploit collective secretion, but do not contribute to it. If cheats outcompete cooperators within hosts, this can cause loss of virulence. Insect parasitic nematodes are important biocontrol tools that secrete a range of significant virulence factors. Critically, effective nematodes are hard to maintain without live passage, which can lead to virulence attenuation. Using experimental evolution, we tested whether social cheating might explain unstable virulence in the nematode Heterorhabditis floridensis by manipulating relatedness via multiplicity of infection (MOI), and the scale of competition. Passage at high MOI, which should reduce relatedness, led to loss of fitness: virulence and reproductive rate declined together and all eight independent lines suffered premature extinction. As theory predicts, relatedness treatments had more impact under stronger global competition. In contrast, low MOI passage led to more stable virulence and increased reproduction. Moreover, low MOI lineages showed a trade-off between virulence and reproduction, particularly for lines under stronger between-host competition. Overall, this study indicates that evolution of virulence theory is valuable for the culture of biocontrol agents: effective nematodes can be improved and maintained if passage methods mitigate possible social conflicts.Entities:
Keywords: Heterorhabditis floridensis; biological control; cooperation; evolution of virulence; pest management; stability
Year: 2016 PMID: 26989437 PMCID: PMC4778107 DOI: 10.1111/eva.12348
Source DB: PubMed Journal: Evol Appl ISSN: 1752-4571 Impact factor: 5.183
Figure 1The design of the selection experiment, illustrating the global and local competition treatments. This scale of competition treatment was crossed with a multiplicity of infection (MOI) treatment (two levels), in which we imposed low relatedness by using 5000 infective juveniles (IJs) per dish or higher relatedness by using 250 IJs per dish. We used four independent selected lines in each treatment. Note that harvest (White) traps for individual cadavers in the local competition treatment were briefly screened for effective IJ production before being included in inocula pools for the next round of infection.
Figure 2Variation in virulence over the course of the selection experiment. (A) Kaplan–Meier survivorship curves for passage 6 bioassays conducted with the eight lineages in the global competition treatment. (B) Kaplan–Meier survivorship curves for passage 6 bioassays conducted with the eight lineages in the local competition treatment. (C) Survivorship curves for the surviving low MOI lineages in passage 12. (D) Parameter estimates of time to death (±SE) in the baseline population (filled circle at P0) and all subsequent selection treatments. Red lines/red triangles represent the high MOI lineages, dark blue lines/squares high relatedness (low MOI) lineages, dashed lines and open symbols represent local competition and solid lines and filled symbols represent global competition.
Figure 3(A) In vivo reproduction (lineage means ± SE, N = 4) of infective juveniles (IJs) produced from cadavers in after passage 6 and passage 12. Data are mean square root IJ count per host (±SE). (B) The relationship between in vivo reproduction and virulence for lineages assayed at passage 6 and passage 12. Reproduction data are untransformed IJ counts while time to death data are parameter estimates for each lineage calculated using log‐logistic survivorship models. Note that longer time to death indicates lower virulence. Red bars/red triangles represent the high MOI lineages, dark blue bars/squares high relatedness (low MOI) lineages, open bars represent local competition, and filled bars represent global competition. (C) The changing phenotypes of the low MOI lineages, the arrows lead from replicates assayed at passage 6 to the same lineage assayed at passage 12.