Related Experiment Video

Updated: Feb 24, 2026

Oral Bacterial Infection and Shedding in Drosophila melanogaster
09:32

Oral Bacterial Infection and Shedding in Drosophila melanogaster

Published on: May 31, 2018

12.6K

Spatial disease dynamics of free-living pathogens under pathogen predation

Tommi Mononen1, Lasse Ruokolainen2

  • 1University of Helsinki, Department of Biosciences, Helsinki, FI-00014, Finland. tommi.mononen@helsinki.fi.

Scientific Reports
|August 12, 2017
PubMed

Insights

Metacommunity interactions, including pathogen-consuming species, can significantly alter disease spread. Introducing consumers can lead to disease-free patches and unexpected decreases in host morbidity, even with pathogen immigration.

Area of Science:

  • Ecology
  • Epidemiology
  • Theoretical Biology

Background:

  • Traditional disease dynamics studies focus on host-pathogen interactions.
  • The role of broader community interactions in spatial disease spread is often overlooked.
  • Free-living pathogens and their consumers add complexity to ecological disease models.

Purpose of the Study:

  • To investigate how metacommunity interactions influence spatial epidemiological dynamics.
  • To model the effects of a pathogen-consuming species on host-pathogen systems in multiple habitat patches.
  • To analyze the impact of consumer and host dispersal on disease prevalence and asymmetry.

Main Methods:

  • Development of a deterministic epidemiological model.
  • Simulation of two interconnected habitat patches containing hosts, pathogens, and pathogen consumers.
  • Analysis of scenarios with isolated patches, consumer dispersal, and host dispersal.

Main Results:

  • Isolated patches exhibit periodic disease outbreaks driven by consumer-pathogen cycles.
  • Consumer dispersal between patches creates asymmetric disease prevalence, with one patch remaining disease-free.
  • Host dispersal leads to indirect pathogen movement, causing a counter-intuitive decrease in morbidity with increased pathogen immigration.

Conclusions:

  • Community-level interactions, particularly involving consumers, are critical drivers of spatial disease dynamics.
  • Metacommunity processes can generate significant spatial asymmetry in disease prevalence, even in homogeneous environments.
  • Understanding these complex interactions is essential for predicting and managing infectious diseases in ecological systems.

More Related Videos

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System09:23

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

Published on: November 1, 2017

12.6K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

1.5K

Related Concept Videos

Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.8K
Predator-Prey Interactions02:39

Predator-Prey Interactions

Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
21.8K
Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.1K
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
118
Distribution and Dispersion00:54

Distribution and Dispersion

To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
25.7K
Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
24.3K