Collaborative Proposal: Linking process to pattern through an experimental network approach to identify the behavioral mechanisms of reproductive isolation

合作提案：通过实验网络方法将过程与模式联系起来，以确定生殖隔离的行为机制

• 批准号: 1856229
• 负责人: Kayleigh Keller
• 金额: $ 18.33万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1856229&HistoricalAwards=false
• 关键词: Collaborative; Proposal; Linking; process; pattern

Animals frequently interact with members of their own and closely related species in non-random ways that have profound implications for evolution within and between populations, including the buildup or breakdown of genetic differences. Closely related subspecies often come into contact and interbreed, or, hybridize. This research will experimentally study how social interactions (networks), morphological traits, genomic ancestry, and migratory behavior explain the amount of interbreeding in two contact zones each consisting of two pairs of barn swallow subspecies that differ in degree of hybridization. The integration of observation and experiments in the wild with genomic analyses will allow for a direct test of how individual behaviors impact hybridization. The research uses miniaturized proximity loggers and network analytical methods to measure the frequency of interactions between individual swallows. Data collection will be accomplished through extensive student training and international collaboration. The use, visualization, and interpretation of social networks will be broadly disseminated through 1) conference presentations, workshops, and publications, 2) integrated into courses, 3) public release of code for new network analysis methods and 4) online dynamic interactive visualizations of research data with exercises and assessment tools. This work represents a highly novel and integrative approach to understanding how closely related populations evolve into different species, with important implications for biodiversity and conservation studies.Assortative behaviors (non-random social interactions) are thought to represent critical barriers to gene flow among recently diverged animal taxa. However, direct measurement of assortative behavior in nature is rarely possible. This research leverages the barn swallow (Hirundo rustica) subspecies complex to experimentally examine the contribution of assortative behavior to reproductive isolation in two hybrid zones between subspecies pairs that differ in evolutionary history. The following will be collected from each hybrid zone: 1) close-range social interactions from proximity tags to construct social networks, 2) fine-scale genomic information to measure individual ancestry, 3) wintering locations, migratory routes and timing of arrival data from geolocators and stable isotopes, 4) measures of morphological variation, and 5) data for molecular paternity analyses to construct fertilization networks based on within- and extra-pair matings as a direct measure of hybridization between subspecies. The construction of fertilization networks will enable analyses about the degree to which hybridization is mediated by social interactions, subspecific ancestry, migratory behavior, or morphology. These features are likely correlated with one another and their combined and relative importance in reproductive isolation will be analyzed using matrix regression methods. After collecting correlative data from each hybrid zone, experimental manipulations of phenotype and timing of breeding will be conducted to test for causal relationships between these traits and fertilizations, providing an extremely rare opportunity to experimentally test and manipulate predictors of hybridization. These comparisons offer the previously intractable opportunity to experimentally analyze how individual-level variation predicts reproductive decisions and the degree to which populations hybridize.This award was co-funded by Behavioral Systems in the Division of Integrative Organismal Systems and Evolutionary Processes in the Division of Environmental Biology.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.

动物经常以非随机的方式与自己的成员和密切相关的物种相互作用，这对种群内和种群之间的进化具有深远的影响，包括遗传差异的积累或破坏。 密切相关的亚种经常接触和杂交，或杂交。本研究将通过实验研究社会相互作用（网络），形态特征，基因组祖先和迁移行为如何解释两个接触区中的杂交数量，每个接触区由两对杂交程度不同的家燕亚种组成。野外观察和实验与基因组分析的结合将允许直接测试个体行为如何影响杂交。该研究使用小型化的近距离记录仪和网络分析方法来测量个体燕子之间的互动频率。数据收集将通过广泛的学生培训和国际合作来完成。社交网络的使用、可视化和解释将通过以下方式广泛传播：1）会议演示、研讨会和出版物; 2）整合到课程中; 3）公开发布新网络分析方法的代码; 4）研究数据的在线动态交互式可视化以及练习和评估工具。 这项工作代表了一个高度新颖的和综合的方法来了解密切相关的种群如何演变成不同的物种，生物多样性和保护study.Assortative行为（非随机社会相互作用）的重要影响被认为是最近分化的动物类群之间的基因流的关键障碍。然而，直接测量自然界中的行为几乎是不可能的。本研究利用谷仓燕子（Hirundo rustica）亚种复杂的实验研究的贡献，繁殖隔离的两个杂交区的亚种对不同的进化历史。将从每个混合区收集以下信息：1）从接近标签构建社交网络的近距离社交互动，2）测量个体祖先的精细尺度基因组信息，3）来自地理定位器和稳定同位素的越冬位置、迁徙路线和到达时间数据，4）形态变异的测量，以及5）用于分子亲子关系分析的数据，以构建基于对内和对外交配的受精网络，作为亚种间杂交的直接测量。受精网络的构建将使分析杂交在多大程度上是由社会相互作用，亚种祖先，迁移行为或形态介导的。这些特征可能相互关联，将使用矩阵回归方法分析它们在生殖隔离中的组合和相对重要性。从每个杂交区收集相关数据后，将进行表型和育种时间的实验操作，以测试这些性状和受精之间的因果关系，提供了一个极其难得的机会，实验测试和操作杂交的预测因子。这些比较提供了以前难以解决的机会，可以通过实验分析个体水平的变异如何预测生殖决策以及种群杂交的程度。该奖项由环境生物学部综合有机体系统和进化过程部的行为系统资助。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学术价值和更广泛的影响审查标准。

项目成果

Inference for Network Regression Models with Community Structure

具有社区结构的网络回归模型的推理

• 发表时间: 2021
• 期刊: PMLR
• 作者: Pan, Mengjie;McCormick, Tyler H.;Fosdick, Bailey K.
• 通讯作者: Fosdick, Bailey K.

Regression of exchangeable relational arrays

可交换关系数组的回归

• DOI: 10.1093/biomet/asac031
• 发表时间: 2022
• 期刊: Biometrika
• 影响因子: 2.7
• 作者: Marrs, F W;Fosdick, B K;Mccormick, T H
• 通讯作者: Mccormick, T H

Non-Uniform Sampling of Fixed Margin Binary Matrices

固定边距二元矩阵的非均匀采样

• DOI: 10.1145/3412815.3416887
• 发表时间: 2020
• 期刊: FODS '20: Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference
• 作者: Fout, Alex;Fosdick, Bailey K.;Hitt, Matthew P.
• 通讯作者: Hitt, Matthew P.