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Development and Application of Quantitative Gene Expression Assays in Wild-Caught, Non-Model Fish Species.

机译:野生的非模型鱼类物种基因定量表达测定方法的开发和应用。

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摘要

The Great Lakes Basin is the most significant freshwater resource in North America. It is a central location for diverse anthropogenic enterprises and consequently has been heavily impacted by the release of toxic substances. Environmental studies increasingly identify the presence of both contaminants of emerging concern (CECs) and legacy contaminants in aquatic environments; however, the biological effects of these compounds on resident fishes remain largely unknown. To address this issue, the U.S. Fish and Wildlife Service Environmental Contaminants Programs initiated a multiagency, collaborative study which included chemical analysis of water and benthic sediment, assessment of caged fathead minnows and assessment of wild fish health using a suite of biological endpoints. In an effort to accurately and efficiently assess the ecological risks of complex chemical mixtures through the integration and synthesis of data from many levels of biological organization, sequence databases for non-model, resident fish species were required. This dissertation contains chapters that describe; 1.) The development of partial transcriptomes for three wild-caught, resident fish species 2.) The utilization of these sequence databases in the development of quantitative gene expression assays 3.) The application of these assays in both laboratory and environmental analyses and 4.) The use of transcriptome sequence databases in the identification of a novel virus.
机译:大湖盆地是北美最重要的淡水资源。它是各种人为企业的中心位置,因此受到有毒物质释放的严重影响。环境研究越来越多地确定了在水生环境中是否存在新出现的污染物(CEC)和遗留污染物;然而,这些化合物对常驻鱼类的生物学影响仍然未知。为了解决这个问题,美国鱼类和野生动物服务局环境污染物计划发起了一项多机构合作研究,包括对水和底栖沉积物进行化学分析,评估笼头黑头min鱼的评估以及使用一套生物学指标评估野生鱼类的健康状况。为了通过整合和综合来自多个生物组织水平的数据来准确有效地评估复杂化学混合物的生态风险,需要非模式常驻鱼类物种的序列数据库。本论文包含描述的章节。 1.)开发了三种野生捕获的常住鱼类的部分转录组2.)在开发定量基因表达测定中利用这些序列数据库3.)在实验室和环境分析中应用这些测定以及4 。)转录组序列数据库在鉴定新型病毒中的用途。

著录项

  • 作者

    Hahn, Cassidy Megan.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Natural resource management.;Aquatic sciences.;Environmental science.;Molecular biology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 209 p.
  • 总页数 209
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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