Literature DB >> 31170312

Species interactions affect the spread of vector-borne plant pathogens independent of transmission mode.

David W Crowder1, Jing Li2, Elizabeth T Borer3, Deborah L Finke4, Rakefet Sharon5, David E Pattemore6, Jan Medlock7.   

Abstract

Within food webs, vectors of plant pathogens interact with individuals of other species across multiple trophic levels, including predators, competitors, and mutualists. These interactions may in turn affect vector-borne pathogens by altering vector fitness and behavior. Predators, for example, consume vectors and reduce their abundance, but often spur movement of vectors as they seek to avoid predation. However, a general framework to predict how species interactions affect vectors of plant pathogens, and the resulting spread of vector-borne pathogens, is lacking. Here we developed a mathematical model to assess whether interactions such as predation, competition, and mutualism affected the spread of vector-borne plant pathogens with nonpersistent or persistent transmission modes. We considered transmission mode because interactions affecting vector-host encounter rates were expected to most strongly affect nonpersistent pathogens that are transmitted with short feeding bouts; interactions that affect vector feeding duration were expected to most strongly affect persistent pathogens that require long feeding bouts for transmission. Our results show that interactions that affected vector behavior (feeding duration, vector-host encounter rates) substantially altered rates of spread for vector-borne plant pathogens, whereas those affecting vector fitness (births, deaths) had relatively small effects. These effects of species interactions were largely independent of transmission mode, except when interactions affected vector-host encounter rates, where effects were strongest for nonpersistent pathogens. Our results suggest that a better understanding of how vectors interact with other species within food webs could enhance our understanding of disease ecology.
© 2019 by the Ecological Society of America.

Entities:  

Keywords:  community ecology; disease ecology; food web; mathematical model; vector-borne pathogen

Year:  2019        PMID: 31170312     DOI: 10.1002/ecy.2782

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  7 in total

1.  Plant-mediated interactions between a vector and a non-vector herbivore promote the spread of a plant virus.

Authors:  Paul J Chisholm; Sanford D Eigenbrode; Robert E Clark; Saumik Basu; David W Crowder
Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

2.  Epidemiological and ecological consequences of virus manipulation of host and vector in plant virus transmission.

Authors:  Nik J Cunniffe; Nick P Taylor; Frédéric M Hamelin; Michael J Jeger
Journal:  PLoS Comput Biol       Date:  2021-12-30       Impact factor: 4.475

3.  Vector-borne plant pathogens modify top-down and bottom-up effects on insect herbivores.

Authors:  Robert E Clark; David W Crowder
Journal:  Oecologia       Date:  2021-07-17       Impact factor: 3.225

Review 4.  Bugs scaring bugs: enemy-risk effects in biological control systems.

Authors:  Michael Culshaw-Maurer; Andrew Sih; Jay A Rosenheim
Journal:  Ecol Lett       Date:  2020-09-09       Impact factor: 9.492

5.  Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies.

Authors:  Marta Zaffaroni; Loup Rimbaud; Ludovic Mailleret; Nik J Cunniffe; Daniele Bevacqua
Journal:  PLoS Comput Biol       Date:  2021-12-28       Impact factor: 4.475

6.  The Role of Vector Trait Variation in Vector-Borne Disease Dynamics.

Authors:  Lauren J Cator; Leah R Johnson; Erin A Mordecai; Fadoua El Moustaid; Thomas R C Smallwood; Shannon L LaDeau; Michael A Johansson; Peter J Hudson; Michael Boots; Matthew B Thomas; Alison G Power; Samraat Pawar
Journal:  Front Ecol Evol       Date:  2020-07-10

Review 7.  Known and Potential Invertebrate Vectors of Raspberry Viruses.

Authors:  Jiunn Luh Tan; Nina Trandem; Jana Fránová; Zhibo Hamborg; Dag-Ragnar Blystad; Rostislav Zemek
Journal:  Viruses       Date:  2022-03-10       Impact factor: 5.048

  7 in total

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