Collaborative Research: BCSP: BIOMAPS: The Hydrodynamics of Predator Sensing and Escape in Zebrafish

合作研究：BCSP：BIOMAPS：斑马鱼捕食者感知和逃脱的流体动力学

• 批准号: 1354842
• 负责人: Matthew McHenry
• 金额: $ 44.66万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1354842&HistoricalAwards=false
• 关键词: Collaborative; Research; BCSP; BIOMAPS; Hydrodynamics

Predation is a fundamental interaction between organisms that shapes community structure and has a direct effect on fitness. This award will support studies on the sensory and motor systems that determine a prey fish's survival. This will be achieved through experimentation and mathematical models of sensory cues and the 'fast start' escape maneuver of prey. The proposed research will (1) reveal the dynamics that govern the sensory and motor systems of prey fish, (2) establish zebrafish as a model for predator-prey interactions, and (3) enhance integration of computational and experimental approaches in organismal research.This work will focus on larval zebrafish (Danio rerio) in three lines of investigation. The flow stimuli that trigger and direct the fast start will be studied experimentally by replicating a predator's approach with a robotic predator. Analysis of how propulsion directs a fast-start escape maneuver will be achieved by measuring the escape responses of larvae in 3D and computationally modeling the hydrodynamics of propulsion. The efficacy of flow sensing and fast start responses will be addressed by recording the three-dimensional motion of predators and prey as they interact and by modeling the sensory and motor systems of the prey under these conditions. In addition to data from experiments, the investigators will advance the quantitative tools of organismal biologists by (1) developing an on-line course in biological computer programming in Matlab, (2) training graduate students in computational modeling, (3) participating in programs that recruit minority undergraduate researchers, and (4) developing analytical tools for the analysis and modeling of animal motion. Results from the studies will be published in peer-reviewed journals and shared through on-line data repositories (e.g., http://datadryad.org/).

捕食是生物体之间的一种基本相互作用，它塑造了群落结构，并对适合度产生直接影响。该奖项将支持对决定猎物鱼生存的感觉和运动系统的研究。这将通过感官线索的实验和数学模型以及猎物的“快速启动”逃跑策略来实现。本研究将从三个方面对斑马鱼幼鱼进行研究：（1）揭示斑马鱼感觉和运动系统的动力学机制;（2）建立斑马鱼作为捕食者-猎物相互作用的模型;（3）加强生物体研究中计算和实验方法的整合。触发和指导快速启动的流动刺激将通过复制捕食者的方法与机器人捕食者进行实验研究。 推进如何指导快速启动逃生机动的分析将通过测量幼虫在3D中的逃生响应和计算模拟推进的流体动力学来实现。 流感测和快速启动响应的功效将通过记录捕食者和猎物的三维运动，因为它们相互作用，并通过模拟在这些条件下的猎物的感觉和运动系统来解决。除了实验数据外，研究人员还将通过以下方式推进有机体生物学家的定量工具：（1）开发Matlab生物计算机编程在线课程，（2）培训计算建模研究生，（3）参与招募少数民族本科研究人员的计划，以及（4）开发用于分析和建模动物运动的分析工具。 研究结果将发表在同行评审期刊上，并通过在线数据库（例如，http://datadryad.org/).