Evolutionary approaches to identify genetic architecture regulating aggression

识别调节攻击性的遗传结构的进化方法

• 批准号: 10028734
• 负责人: Johanna E. Kowalko
• 金额: $ 36.41万
• 依托单位: FLORIDA ATLANTIC UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-20 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10028734
• 关键词: Aggressive behavior; Animal Model; Behavior; Behavioral; Biological Models; Candidate Disease Gene; Chromosome Mapping; Complex; Evolution; Fishes; Genetic; Genetic Variation; Genomics; Goals; Human; Individual; Individual Differences; Laboratories; Lead; Methods; Mexican; Molecular Genetics; Morphology; Natural Selections; Neurons; Organism; Physiological; Population; Research; Resources; Role; Social Behavior; Societies; Surface; System; Testing; base; blind; genetic architecture; genetic variant; insight; neuromechanism; programs; tool; trait

The overarching goal of my research program is to understand how naturally occurring genetic variation results in evolved differences in behaviors. To examine these relationships, it is imperative to have a model organism that is both genetically and behaviorally variable, as well as genetically accessible. Natural populations have evolved an extraordinary diversity of behaviors. Developing and applying functional genetic tools and genomic resources to organisms from these natural populations provides an opportunity to uncover the mechanisms by which natural selection has produced these behavioral differences. Further, these approaches may provide general insights into the molecular and genetic bases of social behaviors in other species, such as humans. The blind Mexican cavefish has evolved a variety of morphological, physiological and behavioral traits, including reductions in social behaviors like aggression, relative to surface fish of the same species. My laboratory has focused on establishing methods to identify and functionally validate the role of naturally occurring genetic variants in cavefish behavioral evolution. The research program outlined here will leverage this evolutionary system to identify the genetic architecture underlying within-population differences in aggression, and to test the mechanisms by which differences in aggression evolve. Utilizing genetic mapping approaches, we will identify and functionally test candidate genes for aggressive behavior. Further, using integrative approaches, we determine the mechanisms by which naturally occurring genetic variants impact behavior. Together, this research program will provide important insights into the genetic and neural mechanisms underlying variability in complex behaviors.

我的研究计划的总体目标是了解自然发生的遗传如何 变异导致行为的进化差异。为了检验这些关系， 必须有一个在遗传和行为上都可变的模型生物体 作为遗传可及性。自然种群已经进化出非凡的多样性 行为。开发和应用功能遗传工具和基因组资源 来自这些自然种群的生物体提供了揭示其机制的机会 自然选择产生了这些行为差异。此外，这些 这些方法可以提供对社会的分子和遗传基础的一般见解 其他物种的行为，例如人类。墨西哥盲穴鱼已经进化出多种 形态、生理和行为特征，包括社会行为的减少 就像攻击性一样，相对于同一物种的表层鱼类。我的实验室专注于 建立方法来识别和功能验证自然发生的遗传的作用 洞穴鱼行为进化的变异。这里概述的研究计划将利用这一点 进化系统来识别群体内差异背后的遗传结构 攻击性，并测试攻击性差异演变的机制。利用 遗传图谱方法，我们将识别并功能测试候选基因 攻击行为。此外，使用综合方法，我们通过以下方式确定机制： 自然发生的遗传变异会影响行为。该研究计划将共同 提供了对潜在变异性的遗传和神经机制的重要见解 复杂的行为。