Doomed drones? Using passage experiments and mathematical modelling to determine Deformed wing virus population dynamics in male honeybees.

Doomed drones? Using passage experiments and mathematical modelling to determine Deformed wing virus population dynamics in male honeybees.
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DOI:
10.1098/rspb.2023.1010
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发表时间:
2023-06-28
影响因子:
4.7
通讯作者:
Evans, David J.
Evans, David J.
中科院分区:
生物学1区
文献类型:
--
作者:
Woodford, Luke;Steketee, Pieter C.;Evans, David J.

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狄斯瓦螨是蜜蜂的一种外寄生螨,其携带一系列致病性病毒,最著名的是畸形翅病毒(DWV)。螨在蛹发育期间寄生于蜜蜂,雄性蜜蜂,雄蜂,比雌性工蜂有更长的发育周期(24天对21天),允许更多的后代螨发育(1.6-2.5对0.7-1.45)。这种较长的暴露时间如何影响传播的病毒种群的演变尚不清楚。使用独特的标记的病毒从cDNA中恢复,我们调查的复制,竞争和发病率的DWV基因型的雄蜂。检测病毒复制和发病率的试验显示,雄蜂对DWV的两种主要基因型都非常敏感。在使用主要DNA基因型及其重组体的等摩尔接种物的病毒传代研究中,重组形式占主导地位,但在10次传代内未达到100%的病毒群体。使用计算机模拟的病毒螨蜂系统,我们研究了病毒收购过程中的瓶颈螨和随后的病毒注射到主机,这可能会发挥重要作用,塑造病毒的多样性。这项研究进一步加深了我们对影响DWV多样性变化的变量的理解,并为螨-病毒-蜜蜂系统的未来研究领域提供了见解。
Varroa destructor is an ectoparasitic mite of honeybees which vectors a range of pathogenic viruses, the most notable being Deformed wing virus (DWV). Mites parasitise bees during pupal development and male honeybees, drones, have a longer development cycle than female workers (24 versus 21 days), allow for more progeny mites to develop per foundress (1.6–2.5 compared to 0.7–1.45). How this longer exposure time influences evolution of the transmitted virus population is unknown. Using uniquely tagged viruses recovered from cDNA we investigated the replication, competition and morbidity of DWV genotypes in drones. Assays examining virus replication and morbidity revealed drones are highly susceptible to both predominant genotypes of DWV. In virus passage studies using an equimolar inocula of major DNA genotypes and their recombinants, the recombinant form dominated but did not reach 100% of the virus population within 10 passages. Using an in-silico model of the virus–mite–bee system we examined bottlenecks during virus acquisition by the mite and subsequent injection of viruses into the host, which may play a significant role in shaping virus diversity. This study furthers our understanding of the variables influencing DWV diversity changes and provides insight into areas of future research in the mite–virus–bee system.
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