Wolbachia invasion dynamics of a random mosquito population model with imperfect maternal transmission and incomplete CI

IF 2.2 4区 数学 Q2 BIOLOGY
Hui Wan, Yin Wu, Guihong Fan, Dan Li
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引用次数: 0

Abstract

In this work, we formulate a random Wolbachia invasion model incorporating the effects of imperfect maternal transmission and incomplete cytoplasmic incompatibility (CI). Under constant environments, we obtain the following results: Firstly, the complete invasion equilibrium of Wolbachia does not exist, and thus the population replacement is not achievable in the case of imperfect maternal transmission; Secondly, imperfect maternal transmission or incomplete CI may obliterate bistability and backward bifurcation, which leads to the failure of Wolbachia invasion, no matter how many infected mosquitoes would be released; Thirdly, the threshold number of the infected mosquitoes to be released would increase with the decrease of the maternal transmission rate or the intensity of CI effect. In random environments, we investigate in detail the Wolbachia invasion dynamics of the random mosquito population model and establish the initial release threshold of infected mosquitoes for successful invasion of Wolbachia into the wild mosquito population. In particular, the existence and stability of invariant probability measures for the establishment and extinction of Wolbachia are determined.

Abstract Image

具有不完全母体传播和不完全 CI 的随机蚊子种群模型的沃尔巴克氏体入侵动力学
在这项工作中,我们建立了一个随机沃尔巴克氏体入侵模型,其中包含了不完全母体传播和不完全细胞质不相容(CI)的影响。在恒定环境下,我们得到了以下结果:首先,沃尔巴克氏菌的完全入侵平衡并不存在,因此在不完全母源传播的情况下无法实现种群更替;第二,不完全母体传播或不完全CI可能导致双稳态和向后分叉,从而导致无论释放多少受感染蚊子,沃尔巴克氏菌入侵都会失败;第三,释放受感染蚊子的阈值数量会随着母体传播率或CI效应强度的降低而增加。在随机环境下,我们详细研究了随机蚊子种群模型的沃尔巴克氏体入侵动力学,并建立了沃尔巴克氏体成功入侵野生蚊子种群的初始感染蚊子释放阈值。特别是,我们确定了沃尔巴克氏菌建立和消亡的不变概率度量的存在性和稳定性。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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