在单倍体细胞质不亲和性丧失后,相互作用的宿主-沃尔巴克氏体形成感染持久性

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Felipe Kauai, Nicky Wybouw
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引用次数: 0

摘要

母系传播的共生体如沃尔巴克氏体通过介导生殖表型在宿主种群中传播。细胞质不相容(CI)是一种生殖表型,当感染的雄性与未感染的雌性受精时,会干扰胚胎发育。以沃尔巴克氏体为基础的害虫防治依靠强CI来抑制或取代害虫种群。宿主遗传背景决定了CI强度,导致弱CI的宿主抑制因子威胁到沃尔巴克氏体害虫防治计划的有效性。在单倍体中,CI胚胎要么死亡(Female Mortality, FM-CI),要么发育成未感染的雄性(Male Development, MD-CI)。宿主抑制因子和感染的相互传播,以及与单倍体中两种CI结果的相互作用,仍然知之甚少。性别分配扭曲(Sd)是一种独立的沃尔巴克氏体介导的生殖表型,导致女性性别比例偏倚,对单倍体感染持久性的贡献也知之甚少,特别是在母体传播不完全的情况下。为了解决这些问题,我们开发了基于个体的模拟,并通过跟踪沃尔巴克氏体在实验荨麻疹叶螨种群中的传播,并通过将感染动态与确定性数学模型进行对比,验证了这一计算工具。在⁓14代宿主中,我们发现确定性模型将感染频率相对于模拟提高了⁓8.1%,并且高估了CI的驱动潜力,特别是在低初始感染频率下。与MD-CI相比,我们发现当核抑制子在群体中分离时,FM-CI强烈地延长了感染持久性。我们还量化了母体传播如何调节抑制因子和感染的相互传播。在失去CI后,我们发现Sd的半形态表达(~5%)足以稳定持续感染。我们推导了一个数学表达式,该表达式近似于Sd可以维持的稳定的多态感染频率。总的来说,我们的研究结果促进了我们对与诱导ci的沃尔巴克氏体和单倍体宿主的共生如何进化的理解,并为基于ci的害虫控制计划提供了潜在的未来风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Reciprocal Host–Wolbachia Interactions Shape Infection Persistence Upon Loss of Cytoplasmic Incompatibility in Haplodiploids

Reciprocal Host–Wolbachia Interactions Shape Infection Persistence Upon Loss of Cytoplasmic Incompatibility in Haplodiploids

Maternally transmitted symbionts such as Wolbachia spread within host populations by mediating reproductive phenotypes. Cytoplasmic incompatibility (CI) is a reproductive phenotype that interferes with embryonal development when infected males fertilize uninfected females. Wolbachia-based pest control relies on strong CI to suppress or replace pest populations. Host genetic background determines CI strength, and host suppressors that cause weak CI threaten the efficacy of Wolbachia-based pest control programs. In haplodiploids, CI embryos either die (Female Mortality, FM-CI) or develop into uninfected males (Male Development, MD-CI). The reciprocal spread of host suppressors and infection, as well as the interaction with the two CI outcomes in haplodiploids, remains poorly understood. The contribution of sex allocation distortion (Sd), an independent Wolbachia-mediated reproductive phenotype that causes a female-biased sex ratio, to infection persistence in haplodiploids is also poorly understood, especially with imperfect maternal transmission. To address these issues, we developed individual-based simulations and validated this computational tool by tracking Wolbachia spread in experimental Tetranychus urticae populations and by contrasting infection dynamics with deterministic mathematical models. Within ⁓14 host generations, we found that deterministic models inflate infection frequencies relative to simulations by ⁓8.1% and overestimate the driving potential of CI, particularly under low initial infection frequencies. Compared to MD-CI, we show that FM-CI strongly extends infection persistence when nuclear suppressors are segregating in the population. We also quantify how maternal transmission modulates the reciprocal spread of suppressors and infection. Upon loss of CI, we show that hypomorphic expression of Sd (~5%) is sufficient for a stable persistence of infection. We derive a mathematical expression that approximates the stable polymorphic infection frequencies that can be maintained by Sd. Collectively, our results advance our understanding of how symbiosis with CI-inducing Wolbachia and haplodiploid hosts might evolve and inform CI-based pest control programs of potential future risks.

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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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