RII Track-4: Evolutionary Genomics of Multispecies Ecological Interactions

生态群落由相互作用的不同物种种群组成。群落生态学领域的一个中心目标是了解这些不同物种相互作用的结果。鉴于生物特征支配物种之间的相互作用，理解特征在群落环境中如何演变对于更清楚地了解生态群落的动态至关重要。这项研究的目的是了解这些特征在多物种群落中的进化，并确定在成对与更多样化的物种组合中进化是否以及如何不同。实验进化论是实验室研究进化论的有力工具。通过让世代快的生物体承受选择压力，研究人员可以实时观察表型和基因水平的进化变化。在这个项目中，PI将通过实验进化蛔虫和两种细菌之间的捕食者-猎物相互作用，以量化它们相互作用的变化。与纽约大学的合作者一起，PI将获得产生和分析捕食性蛔虫进化种群的基因组DNA序列数据的方法方面的培训，从而允许遗传和社区层面的变化之间的联系。这些发现将进一步加深我们对生态群落中遗传进化如何进行的理解，并有助于我们理解跨组织尺度构建生物多样性的力量。物种相互作用是生态群落的一个普遍特征。因此，了解这些相互作用的结果为维持生物多样性提供了重要信息。由于相互作用的结果往往受生物特征的调节，因此了解这些特征以及相互作用是如何随时间演变的，将是了解生物多样性随时间变化的关键。将潜在的遗传变异与这些群落水平的表型(即物种相互作用)联系起来是这项提议的目标。该项目将使用一个实验生态模块，与模式生物秀丽线虫(线虫)，黄色粘球菌(细菌)，和大肠杆菌(细菌)，以研究演变的群落。对于这些遗传上易驯化的物种，该项目将同时测量DNA的表型(生态)和潜在的基因组变化。该研究金的活动包括对实验系统中的顶级捕食者线虫--线虫的遗传和基因组分析进行培训，将模式群落中的表型变化与潜在的遗传变化联系起来。与主办机构(纽约大学)的合作者一起，将生成并分析在不同生态环境下进化的线虫种群的基因组序列数据，以确定基因组进化模式在这些情景中如何变化。这项研究的结果将深入了解选择的基因组目标是否以及如何在成对与多物种群落相互作用中存在质的不同。这项拟议的研究将有助于理解进化遗传学、群落生态学和生物组织规模(即基因组学和群落)之间的联系。这一奖项反映了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。

Ecological communities are comprised of different species populations that interact with one another. A central goal of the field of community ecology is to understand the outcomes of these various species interactions. Given that organismal traits govern the interactions between species, an understanding of how traits evolve in a community context is critical for a clearer picture of the dynamics of ecological communities. The aim of this research to understand the evolution of these traits in multispecies communities, and to determine if and how evolution differs in pairwise vs. more diverse species combinations. Experimental evolution is a powerful tool for the study of evolution in the laboratory. By subjecting organisms with rapid generation times to selection pressures, investigators can observe evolutionary changes at both the phenotypic and genotypic level in real time. In this project, the PI will experimentally evolve predator-prey interactions between roundworms and two species of bacteria to quantify changes in their interactions. With collaborators at New York University, the PI will gain training in methods to produce and analyze genomic DNA sequence data of evolving populations of the predatory roundworms, allowing for linkages between genetic and community-level changes. Findings will further our understanding of how genetic evolution proceeds in ecological communities and contribute to our understanding of the forces structuring biodiversity across scales of organization.Species interactions are a ubiquitous feature of ecological communities. As such, understanding the outcomes of these interactions provides important information for the maintenance of biodiversity. Since the outcomes of the interactions are often mediated by organismal traits, understanding how these traits, and thus interactions, evolve over time will be key to understanding biodiversity dynamics over time. Linking the underlying genetic variation to these community level phenotypes (i.e., species interactions) is the goal of this proposal. This project will use an experimental ecological module with the model organisms Caenorhabditis elegans (nematode), Myxococcus xanthus (bacteria), and Escherichia coli (bacteria) to study evolving communities. With these genetically tractable species, this project will simultaneously measure both phenotypic (ecological) and the underlying genomic changes in the DNA. Activities of this fellowship include the training of the PI in genetic and genomic analyses of Caenorhabditis nematodes, top predators in the experimental system, to link phenotypic changes in model communities to the underlying genetic changes. With collaborators at the host institution (New York University), genomic sequence data from populations of C. elegans nematodes evolved in different ecological settings will be generated and analyzed to determine how patterns of genomic evolution vary across these scenarios. Results from this research will provide insight into whether and how the genomic targets of selection are qualitatively different in pairwise vs. multispecies community interactions. The proposed research will contribute to understanding the linkages between evolutionary genetics, community ecology, and the scales of biological organization (i.e., genomics and communities).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.