Modelling phytoplankton-virus interactions: phytoplankton blooms and lytic virus transmission.

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-05-02 DOI:10.1007/s00285-024-02093-w
Jimin Zhang, Yawen Yan, Junping Shi
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Abstract

A dynamic reaction-diffusion model of four variables is proposed to describe the spread of lytic viruses among phytoplankton in a poorly mixed aquatic environment. The basic ecological reproductive index for phytoplankton invasion and the basic reproduction number for virus transmission are derived to characterize the phytoplankton growth and virus transmission dynamics. The theoretical and numerical results from the model show that the spread of lytic viruses effectively controls phytoplankton blooms. This validates the observations and experimental results of Emiliana huxleyi-lytic virus interactions. The studies also indicate that the lytic virus transmission cannot occur in a low-light or oligotrophic aquatic environment.

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浮游植物与病毒的相互作用建模:浮游植物藻华与裂解病毒传播。
提出了一个由四个变量组成的动态反应-扩散模型,以描述在混合不良的水生环境中溶菌病毒在浮游植物间的传播。得出了浮游植物入侵的基本生态繁殖指数和病毒传播的基本繁殖数,从而描述了浮游植物生长和病毒传播的动态特征。模型的理论和数值结果表明,溶菌病毒的传播能有效控制浮游植物的繁殖。这验证了对 Emiliana huxleyi- 溶菌病毒相互作用的观察和实验结果。研究还表明,在低光照或寡营养的水生环境中不会发生溶菌病毒传播。
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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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