Parasite diversity
Previous lectures have gone over parasite diversity a bit
Here, we will focus on two things:
- Parasite species richness
- Parasite specificity (host range)
Previous lectures have gone over parasite diversity a bit
Here, we will focus on two things:
Does consider:
Does not consider:
Parasite species richness is not all the parasites found in a given location.
It is dependent on the host species considered
The parasite species richness of France is 100 (weird to say, let’s avoid this)
The parasite species richness of the white-footed mouse is 23 (less weird, let’s do this)
It can be location-specific, as we expect parasite species richness to change across the host’s geographic range
It’s more about being deliberate and clear with the scale of the estimate than anything else
Cryptic infections (low prevalence or hard to find parasites)
Undescribed species
Biased sampling of host species
Does consider:
Does not consider:
Low prevalence
Biased sampling of host community
Transient infections
So parasite species richness is a property of the host, and parasite host range is a property of the parasite
Both can be scale dependent, meaning they could be global estimates, or they could be regional estimates
What are some approaches to estimating parasite host range?
At what scale is host range defined (a country? a species?)
Dallas et al. 2017 PRSB
Dallas et al. 2017 PRSB
An estimator used for free-living species but adapted to parasites
The type of data you have is records of a single parasite across a number of hosts
\[ S = S_{a} + \frac{S_{r}}{C}+\frac{f_1}{C}\gamma^{2} \]
Let’s break this down
\[ S = S_{a} + \frac{S_{r}}{C}+\frac{f_1}{C}\gamma^{2} \]
\(S_a\): Number of abundant host species (above some threshold)
\(S_r\): Number of rare host species (below some threshold)
\(C\): the coverage estimator (\(1-\frac{f_1}{n_r}\))
\(\gamma^2\): the coefficient of variation
What I want you to get a sense of is how it is estimating host range
It is adding the common species, and trying to use information about the distribution of those rare species (including singletons) to infer the true host range given unlimited sampling
The same estimator can be used to estimate parasite species richness
host functional traits (e.g., skin thickness)
host phylogenetics
parasite transmission mode
environmental factors
Important note: parasite infection intensity is not necessarily related to host range
Parasites may have a range of host ‘types’ that they can infect
So a host community with similar functional traits (body size, habitat use, etc.) could lead to a parasite with a broader host range (if defined at a single location) than a host community with divergent traits
Phylogenetic information is just host trait information plus some fun evolutionary history
So more evolutionarily similar host species should have similar parasite communities, resulting in those parasites having similar host ranges
Dáttilo et al. 2020 J Animal Ecology
There will be differences in host range as a function of the parasite
e.g., parasites that can survive well in the environment and rely on encounter may be more generalist and have broader host range (like fleas and ticks)
Benesh et al. 2021 Am Nat
Mordecai et al. 2019 Ecology Letters
The number of host species a parasite infects.
How might this not be a good measure of specificity?
Dallas et al. 2020 J Animal Ecology
Parasites may be completely obligate, needing an available host for transmission
Andrew Park has referred to this as ‘reliability’. Parasites should preferentially parasitize ‘reliable’ hosts. How does this relate to Canard’s work?
Should generalism come at a cost? In what units is that cost paid?
There doesn’t tend to be much evidence for a cost
Krasnov et al. 2004 Am Nat
Straub et al. 2011 Am Nat
Parasitoids should tend to specialize (cost of getting into a non-suitable host is high)
Environmentally-transmitted pathogens should be fairly generalist
Parasites with high tissue tropism are more likely to generalize
Canard et al. 2014 American Naturalist
How do we know that it does?
Sometimes it’s not just driven by species abundance
Canard et al. is not exactly a null model
Canard is only for ectoparasitic fleas
Canard’s analysis still shows variation in both parasite species richness and host range, so specificity still exists, it’s just solely driven by species abundance
Poulin et al. 2011 Trends in Parasitology
Poulin et al. 2011 Trends in Parasitology
Dallas & Jordano 2022 Global Ecology and Biogeography
Poulin et al. 2011 Trends in Parasitology
How specific a parasite is (geographically) depends on the available host community
This gets at the underlying question at what level should we estimate specificity?
Host range is from the parasite’s perspective.
Parasite species richness is from the host’s perspective.
So what control’s parasite species richness?
Dallas et al. 2020 J Animal Ecology
Parasites may specialize on a subset of hosts
This specialism may come with a cost, but a lot of times it doesn’t
Parasite species richness is determined by host traits
Defining the scale at which specificity is estimated is tough
Host range is from the parasite’s perspective.
Parasite species richness is from the host’s perspective.
So what control’s parasite species richness?
Dallas et al. 2020 J Animal Ecology
Dáttilo et al. 2020 J Animal Ecology
Kamiya et al. 2013 Biological Reviews
Morand & Harvey 2000 PRSB
Dáttilo et al. 2020 J Animal Ecology
Probably, but recall that parasite species richness is more of a host-level measure
Hosts that are susceptible to helminths may also be susceptible to viruses, even with vast differences in transmission modes and life history
Have we sampled host species well enough to know who infects who?
What ways did we previously talk about to try to get around biased sampling and such?
Carlson et al. 2020 Proceedings B
Dallas et al. 2017 PRSB
It can predict host ranges larger than the overall number of sampled host species in the community
Rare, but it can do it
That’s not ideal
Why is it important?
What are the features of host and parasite that allow for infection?
What’s the goal of this?
How do we do it?
Dallas et al. 2017 PLOS computational biology
Dallas et al. 2017 PLOS computational biology
Dallas et al. 2017 PLOS computational biology
Dallas et al. 2017 PLOS computational biology
How do we go from probabilistic predictions to actual host range/parasite species richness?
Why do the interactions appear to be in a kind of ‘triangle’?
How could these predictions be used to target sampling?
Albery et al. 2021 Nature microbiology
Farrell et al. 2022 J of Animal Ecology
Poisot et al. 2023 Patterns
Poisot et al. 2023 Patterns
How do these models help us understand parasite species richness and host range
What do they tell us about parasite specificity?