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Modelling the Ecological and Evolutionary Dynamics of Microbiomes within a Population of Hosts

机译:对宿主种群中微生物群落的生态和进化动力学建模

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摘要

Microbial communities associated with animals and plants (i.e., microbiomes) are implicated in the day-to-day functioning of their hosts, and there has been an explosion of research on them. Much of this research has focused on surveys of microbial diversities across a variety of host species, including humans, with a view to understanding how these microbiomes are distributed across space and time, and how they correlate with host health, disease, phenotype, physiology and ecology. Fewer studies have focused on how these host-microbiome associations evolve. In this dissertation, we develop a computational agent-based frameworks for modelling the long-term evolution and short-term dynamics of microbiomes within a population of hosts. Our frameworks allow different ecological processes and evolutionary forces to directly or indirectly affect microbiome composition. By incorporating a Wright-Fisher or Moran genealogical population model, we combine host phylogeny with microbiome assembly to consider the shared evolutionary history between hosts and their microbes. We also incorporate how hosts acquire their microbiomes, and how the environmental microbial community available to the hosts is assembled under both neutrality and selection. Under the selective models, we allow selection to operate on both microbes and hosts and observe how microbial diversities are gradually shaped by this evolutionary feedback between hosts and microbes. Furthermore, host population division and dispersal limitation are taken into account for our short-term neutral models. Our results indicate that the extent of parental contribution to microbial availability from one generation to the next significantly impacts the diversity of microbiomes over both long-term and short-term periods: with greater parental contribution, microbiome diversity within hosts tends to decline while microbiome diversity between hosts tends to increase. We also show that the implementation of selection further depresses microbial diversities and the comparison between host level and microbe level selection suggest that the evolutionary pressures directly acting on microbes is more dominant in shaping microbial diversity patterns. Finally, we show that host population division and dispersal limitation under high host contribution further shape the diversity patterns by elevating microbiome differences between hosts and depressing microbial diversity within hosts.
机译:与动物和植物有关的微生物群落(即微生物组)与宿主的日常功能有关,并且对它们的研究激增。这项研究大部分集中在对包括人类在内的各种宿主物种的微生物多样性进行调查,以了解这些微生物群落如何在空间和时间上分布,以及它们如何与宿主健康,疾病,表型,生理学和生态。较少的研究集中在这些宿主-微生物组的关联如何发展。在本文中,我们开发了一个基于计算代理的框架,用于对宿主群体中微生物群落的长期演化和短期动力学建模。我们的框架允许不同的生态过程和进化力直接或间接影响微生物组的组成。通过合并Wright-Fisher或Moran族谱种群模型,我们将宿主系统发育与微生物组组装相结合,以考虑宿主与其微生物之间的共享进化史。我们还纳入宿主如何获取其微生物群落,以及如何在中立和选择下组装宿主可用的环境微生物群落。在选择模型下,我们允许选择对微生物和宿主同时起作用,并观察宿主和微生物之间的这种进化反馈如何逐渐形成微生物多样性。此外,我们的短期中立模型考虑了东道国的人口划分和分散限制。我们的结果表明,父母对一代至下一代微生物可用性的贡献程度在很大程度上影响了长期和短期微生物群落的多样性:父母的贡献越大,宿主内的微生物组多样性趋于下降,而微生物组多样性主机之间的趋向于增加。我们还表明,选择的实施进一步压制了微生物多样性,宿主水平和微生物水平选择之间的比较表明,直接作用于微生物的进化压力在塑造微生物多样性模式中更为主导。最后,我们表明,在高宿主贡献下的宿主种群划分和扩散限制通过提高宿主之间的微生物组差异和抑制宿主内部的微生物多样性进一步塑造了多样性模式。

著录项

  • 作者

    Zeng, Qinglong.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Biology.;Bioinformatics.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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