DISSERTATION RESEARCH: Invasion Risk in the Great Lakes: Estimating Propagule Pressure with Molecular Tools

论文研究：五大湖的入侵风险：用分子工具估计繁殖压力

基本信息

批准号：
0308934
负责人：
David Lodge
金额：
$ 1.2万
依托单位：
University of Notre Dame
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2003
资助国家：
美国
起止时间：
2003-06-01 至 2004-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0308934&HistoricalAwards=false
关键词：
DISSERTATION RESEARCH Invasion Risk Great

项目摘要

AbstractDISSERTATION RESEARCH: Invasion Risk in the Great Lakes: Estimating Propagule Pressure with Molecular ToolsLodgeDEB-0308934Biological invasions by organisms transported in ship ballast water are an increasing cause of environmental degradation and a significant source of economic costs to society. In preliminary research, the P.I. have adapted probabilistic models to estimate invasion risk from propagule pressures, and enumerated adult organisms from samples of Great Lakes ship ballast water. Though invasion risk from resting stages of invertebrates is generally believed to be considerable, it has not yet been quantified due to the technical difficulty of identifying resting eggs from morphological characters. Thus, the goals of this research are to identify and enumerate resting eggs in samples through a combination of molecular and statistical techniques. Pilot studies to assess the feasibility of this approach indicated that high-quality quantitative estimates of propagule pressure can be obtained through a four step process: (1) extraction of nuclear and mitochondrial DNA; (2) separation of gene sequences using denaturing gradient gel electrophoresis; (3) identification of taxonomic groupings based on gene sequences; and (4) estimation of species relative abundance with statistical models. The proposed research will use this method to provide estimates of propagules pressure from 20 ships and to conduct risk assessments of invasion.

摘要dissertation研究：大湖区的入侵风险：用分子工具估算繁殖压力lodgedeb-0308934biological ship ship alselasters ship alssilly ship als tallast水的入侵是环境退化的越来越多的原因，这是对社会的重要经济成本来源。在初步研究中具有适应性的概率模型，以估计繁殖压力的入侵风险，并从大湖船舶镇流器的样品中枚举成人生物。尽管通常认为来自无脊椎动物的静止阶段的入侵风险是相当大的，但由于从形态特征中识别出静息卵的技术困难，尚未被量化。因此，这项研究的目标是通过结合分子和统计技术来识别和列举样品中的静息卵。试点研究以评估这种方法的可行性表明，可以通过四步过程获得繁殖压力的高质量定量估计：（1）提取核和线粒体DNA；（2）使用变性梯度凝胶电泳分离基因序列；（3）基于基因序列的分类组识别；（4）用统计模型估算物种相对丰度。拟议的研究将使用这种方法来估计20艘船的繁殖压力，并进行入侵的风险评估。