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      Knock‐on community impacts of a novel vector: spillover of emerging DWV‐B from Varroa‐infested honeybees to wild bumblebees

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          Abstract

          Novel transmission routes can directly impact the evolutionary ecology of infectious diseases, with potentially dramatic effect on host populations and knock‐on effects on the wider host community. The invasion of Varroa destructor, an ectoparasitic viral vector in Western honeybees, provides a unique opportunity to examine how a novel vector affects disease epidemiology in a host community. This specialist honeybee mite vectors deformed wing virus (DWV), an important re‐emerging honeybee pathogen that also infects wild bumblebees. Comparing island honeybee and wild bumblebee populations with and without V. destructor, we show that V. destructor drives DWV prevalence and titre in honeybees and sympatric bumblebees. Viral genotypes are shared across hosts, with the potentially more virulent DWV‐B overtaking DWV‐A in prevalence in a current epidemic. This demonstrates disease emergence across a host community driven by the acquisition of a specialist novel transmission route in one host, with dramatic community level knock‐on effects.

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          Most cited references31

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          Using observation-level random effects to model overdispersion in count data in ecology and evolution

          Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation). Accounting for overdispersion in such models is vital, as failing to do so can lead to biased parameter estimates, and false conclusions regarding hypotheses of interest. Observation-level random effects (OLRE), where each data point receives a unique level of a random effect that models the extra-Poisson variation present in the data, are commonly employed to cope with overdispersion in count data. However studies investigating the efficacy of observation-level random effects as a means to deal with overdispersion are scarce. Here I use simulations to show that in cases where overdispersion is caused by random extra-Poisson noise, or aggregation in the count data, observation-level random effects yield more accurate parameter estimates compared to when overdispersion is simply ignored. Conversely, OLRE fail to reduce bias in zero-inflated data, and in some cases increase bias at high levels of overdispersion. There was a positive relationship between the magnitude of overdispersion and the degree of bias in parameter estimates. Critically, the simulations reveal that failing to account for overdispersion in mixed models can erroneously inflate measures of explained variance (r 2), which may lead to researchers overestimating the predictive power of variables of interest. This work suggests use of observation-level random effects provides a simple and robust means to account for overdispersion in count data, but also that their ability to minimise bias is not uniform across all types of overdispersion and must be applied judiciously.
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            Drivers, dynamics, and control of emerging vector-borne zoonotic diseases.

            Emerging vector-borne diseases are an important issue in global health. Many vector-borne pathogens have appeared in new regions in the past two decades, while many endemic diseases have increased in incidence. Although introductions and emergence of endemic pathogens are often considered to be distinct processes, many endemic pathogens are actually spreading at a local scale coincident with habitat change. We draw attention to key differences between dynamics and disease burden that result from increased pathogen transmission after habitat change and after introduction into new regions. Local emergence is commonly driven by changes in human factors as much as by enhanced enzootic cycles, whereas pathogen invasion results from anthropogenic trade and travel where and when conditions (eg, hosts, vectors, and climate) are suitable for a pathogen. Once a pathogen is established, ecological factors related to vector characteristics can shape the evolutionary selective pressure and result in increased use of people as transmission hosts. We describe challenges inherent in the control of vector-borne zoonotic diseases and some emerging non-traditional strategies that could be effective in the long term. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              The German bee monitoring project: a long term study to understand periodically high winter losses of honey bee colonies

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                Author and article information

                Contributors
                r.manley@exeter.ac.uk
                Journal
                Ecol Lett
                Ecol. Lett
                10.1111/(ISSN)1461-0248
                ELE
                Ecology Letters
                John Wiley and Sons Inc. (Hoboken )
                1461-023X
                1461-0248
                12 June 2019
                August 2019
                : 22
                : 8 ( doiID: 10.1111/ele.2019.22.issue-8 )
                : 1306-1315
                Affiliations
                [ 1 ] Centre for Ecology and Conservation University of Exeter Penryn Campus Penryn TR11 9FE UK
                [ 2 ] Department of Biosciences University of Exeter, Streatham Campus Exeter EX4 4QD UK
                [ 3 ] Medical, Veterinary and Life Sciences University of Glasgow Glasgow G12 8QQ Scotland
                [ 4 ] Department of Integrative Biology University of California Berkeley CA 94720 USA
                [ 5 ] Institute of Evolutionary Ecology and Conservation Genomics University of Ulm D‐89069 Ulm Germany
                Author notes
                [*] [* ] Correspondence: E‐mail: r.manley@ 123456exeter.ac.uk

                Author information
                https://orcid.org/0000-0002-5152-4504
                Article
                ELE13323
                10.1111/ele.13323
                6852581
                31190366
                1ffe3bf8-1ddb-4bb7-8922-45c81de82622
                © 2019 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 January 2019
                : 17 February 2019
                : 07 May 2019
                : 22 May 2019
                Page count
                Figures: 5, Tables: 0, Pages: 10, Words: 7696
                Funding
                Funded by: Royal Society Dorothy Hodgkin Fellowship
                Funded by: CB Dennis Trust
                Funded by: NERC PhD stipend and a Genetics Society Travel , open-funder-registry 10.13039/501100000270;
                Categories
                Letter
                Letters
                Custom metadata
                2.0
                August 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.1 mode:remove_FC converted:13.11.2019

                Ecology
                bumblebee,community,deformed wing virus,honeybee,indirect disease emergence,spillover,varroa destructor,vector,virus

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