Estimating natural selection in population pairs locally adapted to contrasting environments

估计局部适应对比环境的种群对的自然选择

• 批准号: 0814322
• 负责人: Mary Kuhner
• 金额: $ 53万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0814322&HistoricalAwards=false
• 关键词: Estimating; natural; selection; population; pairs

Populations adapt genetically to their environments, so populations of the same species in different environments may be genetically distinct. Movement of individuals between populations can challenge this adaptation by constantly reintroducing poorly-adapted genes. This proposal will study adaptation in ducks from low and high altitudes in the Andes Mountains, where highland populations maintain distinctive hemoglobin variants despite some level of mixing with lowland populations. Software will be developed to assess the strength of the pressure to adapt, as well as to measure the rate at which movement of individuals mixes the population gene pools. This will help clarify the amount of mixing a population can sustain before losing its distinctive local adaptations. The software tools created for this project will be made freely available to biologists, and will be useful in applications such as studying the evolution of pesticide resistance, conservation of locally-adapted plant and animal populations, and evolution of drug resistance in pathogens. The proposal includes funding for members of the software development team to visit and interact with software users, insuring that the software will be broadly useful.

种群在基因上适应环境，因此不同环境中同一物种的种群可能在基因上有所不同。 个体在种群之间的流动可能会通过不断地重新引入适应不良的基因来挑战这种适应。 该提案将研究安第斯山脉低海拔和高海拔鸭子的适应能力，尽管高地种群与低地种群存在一定程度的混合，但高地种群仍保持独特的血红蛋白变异。 将开发软件来评估适应压力的强度，并测量个体移动混合种群基因库的速度。 这将有助于明确一个种群在失去其独特的本地适应能力之前可以维持的混合程度。为该项目创建的软件工具将免费提供给生物学家，并将在研究杀虫剂抗性进化、保护适应当地的动植物种群以及病原体耐药性进化等应用中发挥作用。 该提案包括为软件开发团队成员访问软件用户并与软件用户互动提供资金，以确保该软件具有广泛的用途。