{"title":"在双宿主-双病原体系统中,共同感染个体内的优先效应如何扩大影响疾病风险","authors":"Jing Jiao , Michael H. Cortez","doi":"10.1016/j.ecolmodel.2025.111025","DOIUrl":null,"url":null,"abstract":"<div><div>An individual host’s risk of infection by a focal pathogen depends on the other host and pathogen species in the community. Using a model of two environmentally transmitted pathogens and two host species, we explore how priority effects within co-infected individuals and interspecific host competition jointly influence infection risk by a focal pathogen. To do this, we use infectious propagule density as a proxy for infection risk and compute explicit formulas for the (local) sensitivity of infectious propagule density of the focal pathogen to infectious propagule density of the alternative pathogen. We use the formulas to identify biological processes shaping the relationships between the infectious propagule densities, thus determining how infection risk by the focal pathogen changes as the abundance of the alternative pathogen increases. We find that the ranges of possible shapes of the relationships are predicted by the relative shedding and mortality rates of singly-infected and co-infected individuals of both species, but the host species with greater abundance and greater shedding rates has larger effects. We then simulate our model using parameter sets derived from <em>Daphnia</em> and their parasites and show how interspecific host competition and host susceptibility influence the shapes of the relationships. We find that asymmetric interspecific host competition reduces the range of possible shapes for the relationships because it suppresses the density of one host species whereas host susceptibility can increase the range of possible relationships. Our results show how within-host pathogen interactions can scale up to affect population-level measures of infection risk.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111025"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How priority effects within co-infected individuals scale up to affect disease risk in a two-host-two-pathogen system\",\"authors\":\"Jing Jiao , Michael H. Cortez\",\"doi\":\"10.1016/j.ecolmodel.2025.111025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>An individual host’s risk of infection by a focal pathogen depends on the other host and pathogen species in the community. Using a model of two environmentally transmitted pathogens and two host species, we explore how priority effects within co-infected individuals and interspecific host competition jointly influence infection risk by a focal pathogen. To do this, we use infectious propagule density as a proxy for infection risk and compute explicit formulas for the (local) sensitivity of infectious propagule density of the focal pathogen to infectious propagule density of the alternative pathogen. We use the formulas to identify biological processes shaping the relationships between the infectious propagule densities, thus determining how infection risk by the focal pathogen changes as the abundance of the alternative pathogen increases. We find that the ranges of possible shapes of the relationships are predicted by the relative shedding and mortality rates of singly-infected and co-infected individuals of both species, but the host species with greater abundance and greater shedding rates has larger effects. We then simulate our model using parameter sets derived from <em>Daphnia</em> and their parasites and show how interspecific host competition and host susceptibility influence the shapes of the relationships. We find that asymmetric interspecific host competition reduces the range of possible shapes for the relationships because it suppresses the density of one host species whereas host susceptibility can increase the range of possible relationships. Our results show how within-host pathogen interactions can scale up to affect population-level measures of infection risk.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"502 \",\"pages\":\"Article 111025\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025000080\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025000080","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
How priority effects within co-infected individuals scale up to affect disease risk in a two-host-two-pathogen system
An individual host’s risk of infection by a focal pathogen depends on the other host and pathogen species in the community. Using a model of two environmentally transmitted pathogens and two host species, we explore how priority effects within co-infected individuals and interspecific host competition jointly influence infection risk by a focal pathogen. To do this, we use infectious propagule density as a proxy for infection risk and compute explicit formulas for the (local) sensitivity of infectious propagule density of the focal pathogen to infectious propagule density of the alternative pathogen. We use the formulas to identify biological processes shaping the relationships between the infectious propagule densities, thus determining how infection risk by the focal pathogen changes as the abundance of the alternative pathogen increases. We find that the ranges of possible shapes of the relationships are predicted by the relative shedding and mortality rates of singly-infected and co-infected individuals of both species, but the host species with greater abundance and greater shedding rates has larger effects. We then simulate our model using parameter sets derived from Daphnia and their parasites and show how interspecific host competition and host susceptibility influence the shapes of the relationships. We find that asymmetric interspecific host competition reduces the range of possible shapes for the relationships because it suppresses the density of one host species whereas host susceptibility can increase the range of possible relationships. Our results show how within-host pathogen interactions can scale up to affect population-level measures of infection risk.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).