DISSERTATION RESEARCH: Riverscape genetics: testing the role of river properties with population-genetic models in Neotropical freshwater fishes

论文研究：河流景观遗传学：用种群遗传模型测试河流特性在新热带淡水鱼类中的作用

基本信息

批准号：
1501301
负责人：
L. Lacey Knowles
金额：
$ 2.02万
依托单位：
Regents of the University of Michigan - Ann Arbor
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-04-01 至 2018-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1501301&HistoricalAwards=false
关键词：
DISSERTATION RESEARCH Riverscape genetics testing

项目摘要

Genetic data can provide a window in the factors that structure and drive divergence among populations. In this study, we will use such data to reveal how current and past landscapes features determine population structure. Such inferences, however, are challenging without methodologies to predict the genetic signature under such conditions. The proposed work will be a step towards addressing this knowledge gap with an application to a freshwater fish biodiversity hotspot, the Atlantic Coastal Rainforest of Brazil. The proposed work will provide critical knowledge about freshwater fishes in this particular ecosystem, as well as be broadly applicable to riverine environments in other world regions. The project provide insights into the properties of rivers that make them critical to conservation efforts because of their impact in population persistence and movement patterns of organisms living in the rivers. The PIs will also collaborate with Brazilian students on this project, promoting international scientific engagement. This research will use computer simulations to generate expected patterns of genetic variation so the impact of specific river properties (e.g., the length of river segments, the number of connecting tributaries, and the flow regime) on movement patterns of an endemic tetra can be discerned. Such a mechanistic understanding will be instrumental to interpreting past studies that have documented differences in genetic variation between different regions. The tests developed here will allow re-evaluation of those prior studies to determine what processes structuring biodiversity might differ among regions. As such, the work will provide a general tool that can advance our understanding of the processes generating biodiversity patterns.

遗传数据可以为构建和驱动种群差异的因素提供一个窗口。在这项研究中，我们将使用此类数据来揭示当前和过去的景观特征如何决定人口结构。然而，这种推论在没有方法论下预测在这种情况下的遗传特征方面具有挑战性。拟议的工作将是解决这一知识差距的一步，并应用于巴西大西洋沿海雨林的淡水鱼生物多样性热点。拟议的工作将提供有关该特定生态系统中淡水鱼的批判性知识，并广泛适用于其他世界地区的河流环境。该项目提供了对河流特性的见解，这使其对保护工作至关重要，因为它们对居住在河流中的生物体的人口持久性和运动模式产生了影响。 PIS还将与巴西学生合作就该项目进行合作，从而促进国际科学参与。这项研究将使用计算机模拟生成遗传变异的预期模式，因此可以识别特定的河流特性（例如，河流段的长度，连接支流的数量，连接支流的数量以及流动状态）对特有tetra的运动模式的影响。这种机械理解将有助于解释过去的研究，这些研究记录了不同区域之间遗传变异的差异。此处开发的测试将允许对这些先前研究的重新评估，以确定构建生物多样性的哪些过程在地区之间可能有所不同。因此，这项工作将提供一种通用工具，可以提高我们对生成生物多样性模式的过程的理解。