Infections of Wolbachia may destabilize mosquito population dynamics

Arndt Telschow, Florian Grziwotz, Philip Crain, Takeshi Miki, James W. Mains, George Sugihara, Stephen L. Dobson, Chih hao Hsieh

Producción científica: Articlerevisión exhaustiva

8 Citas (Scopus)

Resumen

Recent efforts in controlling mosquito-borne diseases focus on biocontrol strategies that incapacitate pathogens inside mosquitoes by altering the mosquito's microbiome. A case in point is the introduction of Wolbachia into natural mosquito populations in order to eliminate Dengue virus. However, whether this strategy can successfully control vector-borne diseases is debated; particularly, how artificial infection affects population dynamics of hosts remains unclear. Here, we show that natural Wolbachia infections are associated with unstable mosquito population dynamics by contrasting Wolbachia-infected versus uninfected cage populations of the Asian tiger mosquito (Aedes albopictus). By analyzing weekly data of adult mosquito abundances, we found that the variability of the infected populations is significantly higher than that of the uninfected. The elevated population variability is explained by increased instability in dynamics, as quantified by system nonlinearity (i.e., state-dependence). In addition, predictability of infected populations is substantially lower. A mathematical model analysis suggests that Wolbachia may alter mosquito population dynamics by modifying larval competition of hosts. These results encourage examination for effects of artificial Wolbachia establishment on mosquito populations, because an enhancement of population variability with reduced predictability could pose challenges in management. Our findings have implications for application of microbiome alterations in biocontrol programs.

Idioma originalEnglish
Páginas (desde-hasta)98-105
Número de páginas8
PublicaciónJournal of Theoretical Biology
Volumen428
DOI
EstadoPublished - sept 7 2017

Nota bibliográfica

Publisher Copyright:
© 2017 Elsevier Ltd

Financiación

The authors thank Jakob F. Strauss and two anonymous reviewers for their comments on an earlier version of the manuscript. This work was supported by the Project-Based Personnel Exchange Programme between the NSC and DAAD (101-2911-I-002-507; 54368760) awarded to TM, CH and AT. AT was supported by the German Science Foundation (SPP 1399, TE 976/2-1) and the Volkswagen Foundation's evolutionary biology initiative, CH by the National Center for Theoretical Sciences, Foundation for the Advancement of Outstanding Scholarship, and the Ministry of Science and Technology (Taiwan), JM and SD by NIH Grant R01 A1051533, and GS by the Department of Defense Strategic Environmental Research and Development Program 15 RC-2509, the Lenfest Ocean Program award 00028335, NSF-DEB-1655203, NSF-ABI-DBI-1660584, and the McQuown Chair in Natural Sciences.

FinanciadoresNúmero del financiador
Dr. Robert Mathys Foundation (RM Foundation)
National Institutes of Health (NIH)NSF-DEB-1655203, 15 RC-2509, 00028335, NSF-ABI-DBI-1660584, R01 A1051533
National Institutes of Health (NIH)
National Center for Theoretical Sciences
Deutscher Akademischer Austauschdienst France101-2911-I-002-507, 54368760
Deutscher Akademischer Austauschdienst France
Deutsche ForschungsgemeinschaftTE 976/2-1, SPP 1399
Deutsche Forschungsgemeinschaft
Volkswagen Foundation
National Science Council
Ministry of Science and Technology, Taiwan

    ASJC Scopus subject areas

    • Statistics and Probability
    • Modeling and Simulation
    • General Biochemistry, Genetics and Molecular Biology
    • General Immunology and Microbiology
    • General Agricultural and Biological Sciences
    • Applied Mathematics

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