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: 1353937
• 负责人: Houshuo Jiang
• 金额: $ 27.5万
• 依托单位: Woods Hole Oceanographic Institution
• 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 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1353937&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基本相互作用，它塑造群落结构并对健康产生直接影响。该奖项将支持对决定被捕食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”逃跑动作来实现。拟议的研究将（1）揭示控制被捕食鱼的感觉和运动系统的动力学，（2）建立斑马鱼作为捕食者与被捕食者相互作用的模型，以及（3）增强生物研究中计算和实验方法的整合。这项工作将重点对斑马鱼（Danio rerio）幼体进行三线调查。通过用机器人捕食者复制捕食者的接近方式，将通过实验研究触发和引导快速启动的流动刺激。 通过测量幼虫的 3D 逃逸反应并对推进的流体动力学进行计算建模，可以分析推进如何引导快速启动逃逸动作。 通过记录捕食者和猎物相互作用时的三维运动，并在这些条件下对猎物的感觉和运动系统进行建模，可以解决流量传感和快速启动响应的功效。除了实验数据外，研究人员还将通过以下方式改进有机生物学家的定量工具：(1) 在 Matlab 中开发生物计算机编程在线课程，(2) 培训研究生进行计算建模，(3) 参与项目招募少数民族本科研究人员，(4) 开发用于动物运动分析和建模的分析工具。 研究结果将发表在同行评审期刊上，并通过在线数据存储库（例如，http://datadryad.org/）共享。