Transcript Document

Consequences of
Heterogeneous Survival Rates
of an Entomopathogenic
Nematode.
Chris Dugaw
Department of Mathematics
Humboldt State University
Outline


Biological background
Understanding Nematode Survival
 Experimental Setup
 Survival Analysis
 Results

Discussion
Entomopathogenic nematodes




Insect predators, in
soil or litter
Can move >2 cm/day
following volatiles
Kills prey with
symbiotic bacteria
injected into host
One nematode in 
800K+ emerge
Images courtesy of Ed Lewis, Virginia Tech
Nematode life cycle
http://www.bath.ac.uk/bio-sci/clarke.htm
Current Uses of Nematodes as Biocontrol Agents
Commodity
Insect Pests
Artichokes
Artichoke plume moth
Berries
Root weevils
Citrus
Root weevils
Cranberries
Root Weevils
Cranberry girdler
Mushrooms
Fungus gnats
Ornamentals
Root Weevils
Wood borers
Fungus gnats
Turf
Scarabs
Mole crickets
Billbugs
Armyworm, Cutworm,
Webworm
Source: http://www.oardc.ohio-state.edu/nematodes/biologyecology.htm
Study Site: the Bodega Marine Reserve
The predatory nematode
Heterorhabditis marelatus
neudorff.de/nuetzlinge/img/hmne.jpg
A natural host: the ghost moth
Hepialus californicus
Host
larvae
Adult Host
Larvae infected
by nematodes
Ghost moth caterpillars feed on the
roots of bush lupine (Lupinus arboreus)
Lupine killed by ghost moth
caterpillars
Large-scale ghost moth outbreaks
occur, killing 10,000+ mature lupines
2001
2002
The trophic cascade: predators
indirectly affect producers by
suppressing herbivores
Entomopathogenic nematode
Heterorhabditis marelatus
Ghost moth
Hepialus californicus
Bush lupine
Lupinus arboreus
+
Strong 1997,
Strong et al. 1999
Seasonal Dynamics
Wet Winter
•Nematodes search for hosts
•Nematode reproduction occurs
•Hosts are in larval stage
Dry Summer
• Nematodes are inactive
• Nematodes must survive
• Host become adults and disperse
• Host eggs are deposited on bush
Seasonal Dynamics
Wet Winter
•Nematodes search for hosts
•Nematode reproduction occurs
•Hosts are in larval stage
Dry Summer
• Nematodes are inactive
• Nematodes must survive
• Host become adults and disperse
• Host eggs are deposited on bush
Outline


Biological background
Understanding Nematode Survival
 Experimental Setup
 Survival Analysis
 Results

Discussion
Experimental design





2 treatments =
Lupine, Grasslands
4 replicates/treatment =
8 total replicates
50 tubes/replicate =
400 total tubes
Each sampling date, removed
10 tubes/replicate =
80 total tubes/sampling date
Assessed nematodes using
‘bait’ insects
Sampled 3 times over a Summer
Each tube
- 30 g past. soil
- 1100 IJ nematodes
- Fine mesh covers
Survival Analysis
Survival Analysis
Homogeneous
Death Rates
Survival Analysis
Homogeneous
Death Rates
Exponential
Distribution
Survival Analysis
Homogeneous
Death Rates
Heterogeneous
Death Rates
Exponential
Distribution
Survival Analysis
Homogeneous
Death Rates
Heterogeneous
Death Rates
Exponential
Distribution
Mixed Exponential
Distribution
First Step: Exponential Fit
Mixed Exponential Distributions

Individuals have different mortality
rates, k.
Mixed Exponential Distributions
Individuals have different mortality
rates, k.
 Risk of death for each individual is
constant over time.

Mixed Exponential Distributions
Individuals have different mortality
rates, k.
 Risk of death for each individual is
constant over time.
 The conditional distribution for
individual lifespan, T, given k is
exponential.

Pareto Distribution:

The mixed exponential you get when
you assume k is gamma distributed.
Pareto Distribution:
The mixed exponential you get when
you assume k is gamma distributed.
 A simple function form can be
derived by integrating:


fT (t )   fT |K (t | k ) f K (k )dk
0
Pareto Distribution:
The mixed exponential you get when
you assume k is gamma distributed.
 A simple function form can be
derived by integrating:


fT (t )   fT |K (t | k ) f K (k )dk
0




 kt
 1  k 
  ke 
k e dk
 ( )

0
Pareto Distribution:
The mixed exponential you get when
you assume k is gamma distributed.
 A simple function form can be
derived by integrating:


f T (t )   fT |K (t | k ) f K ( k )dk
0




 kt
 1  k 
  ke 
k e dk  
 ( )

0



,


(t   ) 1

The distribution of survival rates shifts
over time leading to a decrease in
mean mortality rate.
McNolty, Doyle and Hansen, Technometrics, 1980
Improvement: Pareto Fit
Improvement: Pareto Fit
 = 0.29
 = 2.77
 = 0.73
 = 2.77
Why is it an improvement?
1. Akaike says so: AICc = 3.46
Why is it an improvement?
1. Akaike says so: AICc = 3.46
2. Provides a greater understanding
of the biological system.
Why is it an improvement?
1. Akaike says so: AICc = 3.46
2. Provides a greater understanding
of the biological system.
3. Allows us to quantify heterogeneity
using the scale parameter, .
Results:

Survival in soil is heterogeneous.
Results:


Survival in soil is heterogeneous.
Mean mortality is higher in the grasslands.
(log ratio test: 2 = 0.449, df=1, p = 0.050)
Results:



Survival in soil is heterogeneous.
Mean mortality is higher in the grasslands.
(log ratio test: 2 = 0.449, df=1, p = 0.050)
Heterogeneity same in the two treatments.
(log ratio test: 2 = 0.279, df=1, p = 0.98)
Outline


Biological background
Understanding Nematode Survival
 Experimental Setup
 Survival Analysis
 Results

Discussion
Feedback loop in trophic cascade
Entomopathogenic nematode
Heterorhabditis marelatus
+
non-trophic
trophic
Ghost moth
dry season
Hepialus californicus wet season
+
+
Bush lupine
Lupinus arboreus
Preisser, Dugaw, et al., In Review
Alternative Explanations for
Observations

Decreasing individual hazards
Alternative Explanations for
Observations

Decreasing individual hazards

Density Dependant Survival
Future work:

Apply this analysis to new
experiments to assess survival and
heterogeneity in different soil types.
Future work:
Apply this analysis to new
experiments to assess survival and
heterogeneity in different soil types.
 Compare fitted shape parameter  to
physical soil properties.

Future work:
Apply this analysis to new
experiments to assess survival and
heterogeneity in different soil types.
 Compare fitted shape parameter  to
physical soil properties.
 Incorporate heterogeneous survival
into a stochastic model that includes
nematode reproduction.

Thanks to:
Evan Preisser
Mike Eng
Don Strong
Brian Dennis
Support of:
NSF
UC Davis Dissertation
Year Fellowship
UCD Faculty Fellow