Transmission Fitness in Co-colonization and the Persistence of Bacterial Pathogens.
Bull Math Biol
; 79(9): 2068-2087, 2017 Sep.
Article
em En
| MEDLINE
| ID: mdl-28741105
ABSTRACT
Humans are often colonized by polymorphic bacteria such as Streptococcus pneumoniae, Bordetella pertussis, Staphylococcus Aureus, and Haemophilus influenzae. Two co-colonizing pathogen clones may interact with each other upon host entry and during within-host dynamics, ranging from competition to facilitation. Here we examine the significance of these exploitation strategies for bacterial spread and persistence in host populations. We model SIS epidemiological dynamics to capture the global behavior of such multi-strain systems, focusing on different parameters of single and dual colonization. We analyze the impact of heterogeneity in clearance and transmission rates of single and dual colonization and find the criteria under which these asymmetries enhance endemic persistence. We obtain a backward bifurcation near [Formula see text] if the reproductive value of the parasite in dually infected hosts is sufficiently higher than that in singly infected ones. In such cases, the parasite is able to persist even in sub-threshold conditions, and reducing the basic reproduction number below 1 would be insufficient for elimination. The fitness superiority in co-colonized hosts can be attained by lowering net parasite clearance rate ([Formula see text]), by increasing transmission rate ([Formula see text]), or both, and coupling between these traits critically constrains opportunities of pathogen survival in the [Formula see text] regime. Finally, using an adaptive dynamics approach, we verify that despite their importance for sub-threshold endemicity, traits expressed exclusively in coinfection should generally evolve independently of single infection traits. In particular, for [Formula see text] a saturating parabolic or hyperbolic function of [Formula see text], co-colonization traits evolve to an intermediate optimum (evolutionarily stable strategy, ESS), determined only by host lifespan and the trade-off parameters linking [Formula see text] and [Formula see text]. Our study invites more empirical attention to the dynamics and evolution of parasite life-history traits expressed exclusively in coinfection.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Bactérias
/
Infecções Bacterianas
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Interações Hospedeiro-Patógeno
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Coinfecção
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Modelos Biológicos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Bull Math Biol
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Portugal