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首页> 外文学位 >Defining the ecology of the sand fly, Lutzomyia verrucarum (Diptera: Psychodidae) using population genetics and geographic information systems.
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Defining the ecology of the sand fly, Lutzomyia verrucarum (Diptera: Psychodidae) using population genetics and geographic information systems.

机译：利用种群遗传学和地理信息系统确定沙蝇的生态学，即Lutzomyia verrucarum（Diptera：Psychodidae）。

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摘要

Population genetics and geographic information systems were combined to understand the distribution of the sand fly, Lutzomyia verrucarum in Peru. Understanding the relationships between sand fly populations and the environmental factors governing its dispersal are necessary for developing control strategies to reduce disease transmission. Using a newly developed light emitting diode based light trapping system, 8,266 sand flies were collected in transects from the three principal valleys of Ancash, Peru. The light trapping results indicate ultraviolet light a strong sand fly photo-attractant and add 5 new location records of L. verrucarum distribution in Ancash.;The Ancash captures and five additional collections in provinces that include the known distribution of L. verrucarum were used in a phylogenetic analysis to assign and rank 11 species of the Verrucarum group. A 667 bp sequence of cytochrome oxidase I, clustered the 11 species into 3 rnonophyletic clades corresponding to the morphological series groupings. Furthermore, 7 individual species were grouped into well-supported monophyletic lineages. Nucleotide divergence of 55 L. verrucarum indicated high intraspecies variation.;A gene network analysis was undertaken with 220 L. verrucarum individuals obtained from 7 geographically distinct populations within Peru using mitochondrial genes consisting of a 653 bp fragment of cytochrome b and a 1,175 bp of NADH dehydrogenase subunit 4. Low (0-0.5%) nucleotide divergence was found within populations whereas between populations, apparent migration barriers maintained high (0.8-3.1%) divergence.;The L. verrucarum collection data from Ancash were used in association with remote sensing data to classify suitable sand fly habitats. Sand fly habitat range was defined using the following abiotic variables: elevation, annual rainfall and temperature (average, minimum and maximum). To identify migration barriers, these classifications were then projected to the political boundaries of Peru, which encompass the known L. verrucarum range. Unsuitable habitat areas between populations were generally associated with high (>3,000 m) and low (1,500 m) elevations. Between eastern and western Peru, elevation classifications best defined sand fly habitat suitability likely due its high correlation to environmental factors such as relative humidity and temperature.
机译：结合了人口遗传学和地理信息系统，以了解秘鲁苍蝇Lutzomyia verrucarum的分布。了解沙蝇种群与控制其传播的环境因素之间的关系对于制定减少疾病传播的控制策略是必要的。使用新开发的基于发光二极管的光捕获系统，从秘鲁安卡什的三个主要山谷的样地中收集了8,266个沙蝇。捕光结果表明紫外线是强沙蝇光吸引剂，并在Ancash中增加了5个新的芦荟分布位置记录;在Ancash中使用了Ancash捕获物和另外5个集合，其中包括已知的L. verrucarum分布。进行系统发育分析，以对Verrucarum组的11种进行分配和排名。一条667 bp的细胞色素氧化酶I序列将11个物种聚集成3个核形态进化进化枝，对应于形态学系列分组。此外，将7个单独的物种分组为支持良好的单系谱系。 55 L. verrucarum的核苷酸差异表明种内变异较高。;对秘鲁的7个地理上不同种群的220 L. verrucarum个体进行了基因网络分析，使用的线粒体基因由653 bp的细胞色素b片段和1,175 bp的线粒体组成。 NADH脱氢酶亚基4。在群体内发现低（0-0.5％）核苷酸差异，而在群体之间，明显的迁移障碍保持了很高（0.8-3.1％）的差异。感测数据以对合适的沙蝇栖息地进行分类。使用以下非生物变量定义了沙蝇栖息地范围：海拔，年降雨量和温度（平均，最小和最大）。为了确定移民壁垒，然后将这些分类投影到秘鲁的政治边界，其中包括已知的凡尔赛乳杆菌范围。种群之间不合适的栖息地通常与高海拔（> 3,000 m）和低海拔（<1,500 m）有关。在秘鲁东部和西部之间，海拔分类可以最好地定义沙蝇栖息地的适宜性，这可能是由于其与环境因素（如相对湿度和温度）高度相关。

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  • 作者

    Cohnstaedt, Lee William.;

  • 作者单位

    Yale University.;

  • 授予单位 Yale University.;
  • 学科 Biology Entomology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 昆虫学;
  • 关键词

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