Collaborative Research: Phylogenetics, hybridization and speciation in Habronattus jumping spiders (Saliticidae)

生物学研究的主要目标之一是了解产生不同物种的过程。最近，生物学家提出，不同物种之间的基因和特征共享(杂交)可能起到重要但被忽视的作用。如果这是真的，这不仅会质疑我们对物种如何形成的理解，还会改变我们评估物种之间关系的方式。在这个项目中，来自圣地亚哥州立大学和加州大学伯克利分校的研究人员将把系统发育和行为研究联系起来，以了解杂交在北美跳蛛(哈布罗纳特蜘蛛)大属进化中的作用。该团队将开发基因组资源，以重建物种之间的进化关系，并从统计上测试杂交在驱动生物多样性模式中的存在。此外，由于杂交只有在不同物种的个体相互交配时才会发生，该团队将研究控制不同物种之间基因和特征交换的交配行为，从而深入了解驱动更大进化模式的机制。这个项目将促进我们对动物物种和种群如何变化的理解，以及我们如何评估它们的进化关系。研究成果和技术将用于为科学家开发免费可用的统计工具、在线生物多样性数据库和以蜘蛛为中心的教育电脑游戏，以教授系统生物学的关键方面，特别是性选择和物种形成。美国三所不同机构的两名博士后、一名博士生和多名本科生将接受该项目的培训。本科生将在研究中发挥重要作用，具有很高的独立项目潜力。这项研究将以多种方式推动哈伯罗纳特人的研究，以及导入杂交生物学领域。在系统基因组和系统地理尺度上，研究人员将量化树状发散和网状进化之间的平衡，研究是否通过导入杂交比基于树的模型更好地解释表型进化。将进行系统发育比较分析，以询问求偶复杂性是否与谱系多样化、渐渗和染色体进化的速度相关。发现广泛的渗入集中在具有最复杂求偶行为的群体中，这与动物交流理论的预期相矛盾。基因组规模的数据将为解释物种限制提供一个一致的、客观的框架，不受男性装饰品“显眼程度”的影响。在行为层面上，研究人员将探讨渐进式杂交背后的最接近的机制，解决杂交是通过物种识别错误还是通过选择新的表型来最好地解释。大型经验基因组和表型数据集将促进新计算机程序模块的开发，以绘制受渐进杂交或不完全谱系排序影响的表型特征。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

One of the major goals in biological research is to understand the processes that generate different species. Recently, biologists have suggested that the sharing of genes and traits between different species (hybridization) may play an important, but overlooked role. If true, this not only calls into question our understanding of how species form, but changes how we evaluate the relationships between species. In this project, researchers from San Diego State University and UC Berkeley will link studies of phylogeny and behavior to understand the role of hybridization in the evolution of a large genus of jumping spiders (Habronattus) from North America. The team will develop genomic resources to reconstruct the evolutionary relationships between species and to statistically test for the presence of hybridization in driving biodiversity patterns. Additionally, because hybridization occurs only when individuals of different species mate with each other, the team will examine the mating behaviors that control the exchange of genes and traits between separate species thus allowing insight into the mechanisms that drive larger evolutionary patterns. This project will advance our understanding of how species and populations of animals change and how we evaluate their evolutionary relationships. Research findings and techniques will be used to develop freely available statistical tools for scientists, online biodiversity databases, and educational spider-centric computer games to teach key aspects of systematic biology, in particular sexual selection and speciation. Two postdocs, one doctoral student, and multiple undergraduate students at three separate U.S. institutions will be trained on this project. Undergraduate students will play important roles in research, with high potential for independent projects.This research will advance Habronattus research, and the field of introgressive hybridization biology, in multiple ways. At both phylogenomic and phylogeographic scales the researchers will quantify the balance between tree-like divergence and reticulate evolution, addressing whether phenotypic evolution is better explained by introgressive hybridization rather than a tree-based model. Phylogenetic comparative analyses will be conducted to ask whether courtship complexity is correlated with rates of lineage diversification, introgression, and chromosome evolution. Finding widespread introgression concentrated in groups with the most complex courtship would contradict expectations of animal communication theory. Genomic-scale data will provide a consistent, objective framework for interpreting species limits, unbiased by male ornament "conspicuousness". At the behavioral level, the researchers will address the proximate mechanisms behind introgressive hybridization, addressing whether hybridization is best explained by errors in species recognition or selection for novel phenotypes. Large empirical genomic and phenotypic datasets will promote the development of new computer program modules to map phenotypic characters impacted by introgressive hybridization or incomplete lineage sorting.This 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.