Ecoimmunology

2021 ◽  
pp. 29-52
Author(s):  
Amberleigh E. Henschen ◽  
James S. Adelman
Keyword(s):  
Infectious Diseases ◽  
Disease Ecology ◽  
Population Level ◽  
Transmission Dynamics ◽  
Host Disease ◽  
Immune Systems ◽  
Immune Defenses ◽  
In The Wild ◽  
Research Questions ◽  
Immune Phenotypes

Avian immune systems are multifaceted and vary widely among individuals, populations, and species, all of which will affect the dynamics of infectious diseases in the wild. Historically, ecoimmunology sought to uncover the proximate and ultimate drivers of heterogeneity in immune defenses. More recently, the field has begun to interface with disease ecology, asking not only about the causes of immune variation but also about its links to within- and between-host disease processes. This chapter briefly reviews the complexity of avian immune systems, outlines theories of how and why these defenses vary, and provides an overview of both common and novel techniques in ecoimmunology. Subsequent sections highlight two research questions as critical to the synergy between ecoimmunology and disease ecology: (1) How do immune phenotypes predict individual infection outcomes? and (2) How do within-host measures of immunity inform population-level transmission dynamics?

scholarly journals The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions

Oecologia ◽  
2021 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine
Keyword(s):  
Population Level ◽  
R Package ◽  
Habitat Configuration ◽  
Modelling Framework ◽  
Alternative Habitat ◽  
Animal Populations ◽  
Research Questions ◽  
Habitat Networks ◽  
Animal Habitat

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.

scholarly journals Mutability of demographic noise in microbial range expansions

2021 ◽  
Author(s):  
QinQin Yu ◽  
Matti Gralka ◽  
Marie-Cécilia Duvernoy ◽  
Megan Sousa ◽  
Arbel Harpak ◽  
...  
Keyword(s):  
Gene Deletion ◽  
Genetic Manipulation ◽  
Single Gene ◽  
Population Level ◽  
Growth Conditions ◽  
Establishment Probability ◽  
In The Wild ◽  
Order Of Magnitude ◽  
Demographic Noise ◽  
Single Gene Deletion

AbstractDemographic noise, the change in the composition of a population due to random birth and death events, is an important driving force in evolution because it reduces the efficacy of natural selection. Demographic noise is typically thought to be set by the population size and the environment, but recent experiments with microbial range expansions have revealed substantial strain-level differences in demographic noise under the same growth conditions. Many genetic and phenotypic differences exist between strains; to what extent do single mutations change the strength of demographic noise? To investigate this question, we developed a high-throughput method for measuring demographic noise in colonies without the need for genetic manipulation. By applying this method to 191 randomly-selected single gene deletion strains from the E. coli Keio collection, we find that a typical single gene deletion mutation decreases demographic noise by 8% (maximal decrease: 81%). We find that the strength of demographic noise is an emergent trait at the population level that can be predicted by colony-level traits but not cell-level traits. The observed differences in demographic noise from single gene deletions can increase the establishment probability of beneficial mutations by almost an order of magnitude (compared to in the wild type). Our results show that single mutations can substantially alter adaptation through their effects on demographic noise and suggest that demographic noise can be an evolvable trait of a population.

scholarly journals Evaluation of vaccines against enteric infections: a clinical and public health research agenda for developing countries

2011 ◽  
Vol 366 (1579) ◽  
pp. 2799-2805 ◽  
Author(s):  
John Clemens
Keyword(s):  
Public Health ◽  
Developing Countries ◽  
Age Groups ◽  
Population Level ◽  
Vaccine Safety ◽  
Public Health Research ◽  
Protective Effects ◽  
Vaccine Protection ◽  
Enteric Infections ◽  
Research Questions

Enteric infections are a major cause of morbidity and mortality in developing countries. To date, vaccines have played a limited role in public health efforts to control enteric infections. Licensed vaccines exist for cholera and typhoid, but these vaccines are used primarily for travellers; and there are two internationally licensed vaccines for rotavirus, but they are mainly used in affluent countries. The reasons that enteric vaccines are little used in developing countries are multiple, and certainly include financial and political constraints. Also important is the need for more cogent evidence on the performance of enteric vaccines in developing country populations. A partial inventory of research questions would include: (i) does the vaccine perform well in the most relevant settings? (ii) does the vaccine perform well in all epidemiologically relevant age groups? (iii) is there adequate evidence of vaccine safety once the vaccines have been deployed in developing countries? (iv) how effective is the vaccine when given in conjunction with non-vaccine cointerventions? (v) what is the level of vaccine protection against all relevant outcomes? and (vi) what is the expected population level of vaccine protection, including both direct and herd vaccine protective effects? Provision of evidence addressing these questions will help expand the use of enteric vaccines in developing countries.

scholarly journals Phenotypic plasticity of labile traits in the wild

2013 ◽  
Vol 59 (4) ◽  
pp. 485-505 ◽  
Author(s):  
Jon E. Brommer
Keyword(s):  
Life History ◽  
Phenotypic Plasticity ◽  
Statistical Approach ◽  
Scale Up ◽  
Population Level ◽  
Wild Populations ◽  
Quantitative Genetic ◽  
In The Wild ◽  
The Individual ◽  
Quantitative Genetic Parameters

Abstract Individual-based studies allow quantification of phenotypic plasticity in behavioural, life-history and other labile traits. The study of phenotypic plasticity in the wild can shed new light on the ultimate objectives (1) whether plasticity itself can evolve or is constrained by its genetic architecture, and (2) whether plasticity is associated to other traits, including fitness (selection). I describe the main statistical approach for how repeated records of individuals and a description of the environment (E) allow quantification of variation in plasticity across individuals (IxE) and genotypes (GxE) in wild populations. Based on a literature review of life-history and behavioural studies on plasticity in the wild, I discuss the present state of the two objectives listed above. Few studies have quantified GxE of labile traits in wild populations, and it is likely that power to detect statistically significant GxE is lacking. Apart from the issue of whether it is heritable, plasticity tends to correlate with average trait expression (not fully supported by the few genetic estimates available) and may thus be evolutionary constrained in this way. Individual-specific estimates of plasticity tend to be related to other traits of the individual (including fitness), but these analyses may be anti-conservative because they predominantly concern stats-on-stats. Despite the increased interest in plasticity in wild populations, the putative lack of power to detect GxE in such populations hinders achieving general insights. I discuss possible steps to invigorate the field by moving away from simply testing for presence of GxE to analyses that ‘scale up’ to population level processes and by the development of new behavioural theory to identify quantitative genetic parameters which can be estimated.

8. Looking ahead

2015 ◽  
pp. 97-106
Author(s):  
Marta L. Wayne ◽  
Benjamin M. Bolker
Keyword(s):  
Infectious Disease ◽  
Disease Management ◽  
Infectious Diseases ◽  
Disease Ecology ◽  
Control Strategies ◽  
Zoonotic Diseases ◽  
Transmission Control ◽  
Living Things ◽  
Life Itself ◽  
The Impact

‘Looking ahead’ shows how our understanding of disease ecology and evolution has revolutionized disease management. By developing transmission control strategies to close the encounter filter and vaccines and treatments to close the compatibility filter, we have reduced the misery caused by infectious disease. But what is the outlook for the future control of infectious diseases? We cannot eradicate infectious disease. Living things have parasitized one another since the beginning of life itself. New zoonotic diseases will continue to emerge, and existing diseases will continually evolve to escape our methods of control. Despite this stark reality, we can minimize the impact of disease even if we can never fully conquer it.

scholarly journals Analysis of Spatiotemporal Characteristics of Pandemic SARS Spread in Mainland China

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Chunxiang Cao ◽  
Wei Chen ◽  
Sheng Zheng ◽  
Jian Zhao ◽  
Jinfeng Wang ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Mainland China ◽  
Emerging Infectious Diseases ◽  
Epidemiological Data ◽  
Transmission Dynamics ◽  
Bayesian Maximum Entropy ◽  
Covariance Model ◽  
Spatial And Temporal Scales ◽  
Epidemiological Characteristics ◽  
Spatiotemporal Transmission

Severe acute respiratory syndrome (SARS) is one of the most severe emerging infectious diseases of the 21st century so far. SARS caused a pandemic that spread throughout mainland China for 7 months, infecting 5318 persons in 194 administrative regions. Using detailed mainland China epidemiological data, we study spatiotemporal aspects of this person-to-person contagious disease and simulate its spatiotemporal transmission dynamics via the Bayesian Maximum Entropy (BME) method. The BME reveals that SARS outbreaks show autocorrelation within certain spatial and temporal distances. We use BME to fit a theoretical covariance model that has a sine hole spatial component and exponential temporal component and obtain the weights of geographical and temporal autocorrelation factors. Using the covariance model, SARS dynamics were estimated and simulated under the most probable conditions. Our study suggests that SARS transmission varies in its epidemiological characteristics and SARS outbreak distributions exhibit palpable clusters on both spatial and temporal scales. In addition, the BME modelling demonstrates that SARS transmission features are affected by spatial heterogeneity, so we analyze potential causes. This may benefit epidemiological control of pandemic infectious diseases.

scholarly journals Towards a Better Understanding of the Evolution of Specialized Parasites of Fungus-Growing Ant Crops

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Sze Huei Yek ◽  
Jacobus J. Boomsma ◽  
Michael Poulsen
Keyword(s):  
Evolutionary History ◽  
Recent Progress ◽  
Population Level ◽  
Future Research ◽  
Research Questions ◽  
Fungus Growing Ants

Fungus-growing ants have interacted and partly coevolved with specialised microfungal parasites of the genusEscovopsissince the origin of ant fungiculture about 50 million years ago. Here, we review the recent progress in understanding the patterns of specificity of this ant-parasite association, covering both the colony/population level and comparisons between phylogenetic clades. We use a modified version of Tinbergen's four categories of evolutionary questions to structure our review in complementary approaches addressing both proximate questions of development and mechanism, and ultimate questions of (co)adaptation and evolutionary history. Using the same scheme, we identify future research questions that are likely to be particularly illuminating for understanding the ecology and evolution ofEscovopsisparasitism of the cultivar maintained by fungus-growing ants.

A comparative assessment of handedness and its potential neuroanatomical correlates in chimpanzees (Pan troglodytes) and bonobos (Pan paniscus)

Behaviour ◽  
2015 ◽  
Vol 152 (3-4) ◽  
pp. 461-492 ◽  
Author(s):  
William D. Hopkins ◽  
Jennifer Schaeffer ◽  
Jamie L. Russell ◽  
Stephanie L. Bogart ◽  
Adrien Meguerditchian ◽  
...  
Keyword(s):  
Tool Use ◽  
Vocal Communication ◽  
Pan Paniscus ◽  
Population Level ◽  
Precentral Gyrus ◽  
Human Right ◽  
Evolutionary Origins ◽  
Bimanual Actions ◽  
In The Wild ◽  
Hand Area

The evolutionary origins of human right-handedness remain poorly understood. Some have hypothesized that tool use served as an important preadaptation for the eventual evolution of population-level right-handedness. In contrast, others have suggested that complex gestural and vocal communication served as prerequisite for the evolution of human right-handedness. In this study, we tested these competing hypotheses by comparing the handedness of bonobos and chimpanzees, two closely related species of Pan, on three different measures of hand use including simple reaching, manual gestures and coordinated bimanual actions. Chimpanzees are well known for their tool using abilities whereas bonobos rarely use tools in the wild. In contrast, many have suggested that bonobos have a more flexible gestural and vocal communication system than chimpanzees. The overall results showed that chimpanzees were significantly more right-handed than bonobos for all three measures suggesting that adaptations for tool use rather than communication may have led to the emergence of human right-handedness. We further show that species differences in handedness may be linked to variation in the size and asymmetry of the motor-hand area of the precentral gyrus. The results are discussed within the context of evolutionary theories of handedness, as well as some limitations in the approach to handedness measurement in nonhuman primates.

scholarly journals Design and analysis of small-scale transmission experiments with animals

2006 ◽  
Vol 135 (2) ◽  
pp. 202-217 ◽  
Author(s):  
A. G. J. VELTHUIS ◽  
A. BOUMA ◽  
W. E. A. KATSMA ◽  
G. NODELIJK ◽  
M. C. M. DE JONG
Keyword(s):  
Infectious Diseases ◽  
Population Level ◽  
Field Studies ◽  
Control Measures ◽  
Experimental Designs ◽  
Small Scale ◽  
Controlled Environment ◽  
Single Factor ◽  
Final Size ◽  
Transmission Data

Interactions between pathogens and hosts at the population level should be considered when studying the effectiveness of control measures for infectious diseases. The advantage of doing transmission experiments compared to field studies is that they offer a controlled environment in which the effect of a single factor can be investigated, while variation due to other factors is minimized. This paper gives an overview of the biological and mathematical aspects, bottlenecks and solutions of developing and executing transmission experiments with animals. Different methods of analysis and different experimental designs are discussed. Final size methods are often used for analysing transmission data, but have never been published in a refereed journal; therefore, they will be described in detail in this paper. We hope that this information is helpful for scientists who are considering performing transmission experiments.

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