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Optimal immune specificity at the intersection of host life history and parasite epidemiology

Hosts diverge widely in how, and how well, they defend themselves against infection and immunopathology. Why are hosts so heterogeneous? Both epidemiology and life history are commonly hypothesized to influence host immune strategy, but the relationship between immune strategy and each factor has co...

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Autores principales: Downie, Alexander E., Mayer, Andreas, Metcalf, C. Jessica E., Graham, Andrea L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730424/
https://www.ncbi.nlm.nih.gov/pubmed/34932551
http://dx.doi.org/10.1371/journal.pcbi.1009714
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author Downie, Alexander E.
Mayer, Andreas
Metcalf, C. Jessica E.
Graham, Andrea L.
author_facet Downie, Alexander E.
Mayer, Andreas
Metcalf, C. Jessica E.
Graham, Andrea L.
author_sort Downie, Alexander E.
collection PubMed
description Hosts diverge widely in how, and how well, they defend themselves against infection and immunopathology. Why are hosts so heterogeneous? Both epidemiology and life history are commonly hypothesized to influence host immune strategy, but the relationship between immune strategy and each factor has commonly been investigated in isolation. Here, we show that interactions between life history and epidemiology are crucial for determining optimal immune specificity and sensitivity. We propose a demographically-structured population dynamics model, in which we explore sensitivity and specificity of immune responses when epidemiological risks vary with age. We find that variation in life history traits associated with both reproduction and longevity alters optimal immune strategies–but the magnitude and sometimes even direction of these effects depends on how epidemiological risks vary across life. An especially compelling example that explains previously-puzzling empirical observations is that depending on whether infection risk declines or rises at reproductive maturity, later reproductive maturity can select for either greater or lower immune specificity, potentially illustrating why studies of lifespan and immune variation across taxa have been inconclusive. Thus, the sign of selection on the life history-immune specificity relationship can be reversed in different epidemiological contexts. Drawing on published life history data from a variety of chordate taxa, we generate testable predictions for this facet of the optimal immune strategy. Our results shed light on the causes of the heterogeneity found in immune defenses both within and among species and the ultimate variability of the relationship between life history and immune specificity.
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spelling pubmed-87304242022-01-06 Optimal immune specificity at the intersection of host life history and parasite epidemiology Downie, Alexander E. Mayer, Andreas Metcalf, C. Jessica E. Graham, Andrea L. PLoS Comput Biol Research Article Hosts diverge widely in how, and how well, they defend themselves against infection and immunopathology. Why are hosts so heterogeneous? Both epidemiology and life history are commonly hypothesized to influence host immune strategy, but the relationship between immune strategy and each factor has commonly been investigated in isolation. Here, we show that interactions between life history and epidemiology are crucial for determining optimal immune specificity and sensitivity. We propose a demographically-structured population dynamics model, in which we explore sensitivity and specificity of immune responses when epidemiological risks vary with age. We find that variation in life history traits associated with both reproduction and longevity alters optimal immune strategies–but the magnitude and sometimes even direction of these effects depends on how epidemiological risks vary across life. An especially compelling example that explains previously-puzzling empirical observations is that depending on whether infection risk declines or rises at reproductive maturity, later reproductive maturity can select for either greater or lower immune specificity, potentially illustrating why studies of lifespan and immune variation across taxa have been inconclusive. Thus, the sign of selection on the life history-immune specificity relationship can be reversed in different epidemiological contexts. Drawing on published life history data from a variety of chordate taxa, we generate testable predictions for this facet of the optimal immune strategy. Our results shed light on the causes of the heterogeneity found in immune defenses both within and among species and the ultimate variability of the relationship between life history and immune specificity. Public Library of Science 2021-12-21 /pmc/articles/PMC8730424/ /pubmed/34932551 http://dx.doi.org/10.1371/journal.pcbi.1009714 Text en © 2021 Downie et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Downie, Alexander E.
Mayer, Andreas
Metcalf, C. Jessica E.
Graham, Andrea L.
Optimal immune specificity at the intersection of host life history and parasite epidemiology
title Optimal immune specificity at the intersection of host life history and parasite epidemiology
title_full Optimal immune specificity at the intersection of host life history and parasite epidemiology
title_fullStr Optimal immune specificity at the intersection of host life history and parasite epidemiology
title_full_unstemmed Optimal immune specificity at the intersection of host life history and parasite epidemiology
title_short Optimal immune specificity at the intersection of host life history and parasite epidemiology
title_sort optimal immune specificity at the intersection of host life history and parasite epidemiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730424/
https://www.ncbi.nlm.nih.gov/pubmed/34932551
http://dx.doi.org/10.1371/journal.pcbi.1009714
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