Collaborative Research: SG: Clonality and the scope for adaptation in heterogeneous environments

所有的物种都生活在不同的环境中。一个物种如何适应这些环境决定了它在特定地点的生存。这也决定了随着时间的推移物种范围。一个生物体所表现出的繁殖类型可能会对不同景观的适应产生深远的影响。部分克隆是一种重要的生殖方式，包括无性生殖和有性生殖，存在于许多生物中。其中包括影响许多重要生态系统功能的物种。部分克隆性也存在于许多病原体、害虫和入侵物种中。这项研究将开发数学模型，探索部分克隆性和当地环境变化如何相互作用，以塑造这些物种的进化。这项研究的结果将有助于确定种群的关键方面，这些方面使它们特别容易受到不断变化的环境条件的影响，从而导致种群下降甚至灭绝。相反，还将确定使人口更容易适应新环境的因素。这项工作的一个重要影响是它适用于我们对入侵物种和新出现的传染病的理解。更广泛的影响还包括增加数学素养和更好地了解生物科学，数学和统计学之间的联系的研究生和本科生在这个project.This研究将探讨克隆verses有性后代所经历的平均选择制度的差异，以及如何可能会影响实现模式的适应在一个可变的景观。特别令人感兴趣的是对基因组多样性的影响，以及种群在环境变化下持续生存的能力。两个互补的方法将被用来解决这些复杂性：（1）分析模型相结合的阶段结构的生活史和表型进化和（2）基于个人的前瞻性时间模拟模型，考虑到随机性的重要方面的进化和人口将被应用。这两种建模方法将共同阐明生殖模式和可变选择环境在塑造物种动态方面的综合效应。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

All species exist in a variety of environments. How a species adapts across those environments determines its survival in a particular location. This also determines the species range over time. The type of reproduction shown by an organism can have profound consequences for that adaptation across a varied landscape. One key reproductive mode, partial clonality, which includes both asexual reproduction and sexual reproduction, is found in many organisms. These include species that influence many important ecosystems functions. Partial clonality is also found in many pathogens, pests, and invasive species. This research will develop mathematical models that explore how partial clonality and local environmental variation interact to shape the evolution of such species. The results of this research will help identify key aspects of populations that make them especially vulnerable to changing environmental conditions, leading to population decline and even extinction. Conversely, factors that allow populations to more easily adapt to new environments will also be determined. An important impact of this work is its applicability to our understanding of invasive species and emerging infectious diseases. Broader impacts also include increased mathematical literacy and a better understanding of the linkages between the biological sciences, mathematics, and statistics for both graduate and undergraduate students trained under this project.This study will explore the differences in the average selective regime experienced by clonal verses sexual offspring and how that may influence realized patterns of adaptation across a variable landscape. Of particular interest is the influence on genomic diversity, and a population's ability to persist under environmental change. Two complementary approaches will be utilized to address these complexities: (1) analytical models combining stage-structured life histories and phenotypic evolution and (2) individual-based forward-time simulation models allowing for consideration of important aspects of stochasticity in both evolution and demography will be applied. Together these two modeling methods will clarify the integrated effect of reproductive mode and variable selective environment in shaping the dynamics of speciesThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.