Ecological and genetic determinants of malaria transmitting behaviors in the Afri

非洲疟疾传播行为的生态和遗传决定因素

• 批准号: 8619578
• 负责人: GREGORY C. LANZARO
• 金额: $ 48.89万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-03-03 至 2016-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8619578
• 关键词: Adult; Africa; African; Alleles; Animal Feed; Animals; Anopheles Genus; Anopheles gambiae; Area; Attention; Behavior; Behavioral; Biological; Biological Models; Blood; Climate; Competence; Culicidae; DNA; Data; Data Analyses; Development; Ecology; Ensure; Environmental Risk Factor; Epidemiology; Exhibits; Future; Genes; Genetic; Genetic Determinism; Genetic Markers; Genomics; Genotype; Goals; Habitats; Health; Household; Housing; Human; Humidity; Individual; Insecticides; Institutes; Intervention; Investigation; Knowledge; Laboratories; Livestock; Location; Malaria; Maps; Measures; Methods; Modeling; Nature; Parasites; Phenotype; Plasmodium; Population; Population Genetics; Predisposition; Preparation; Public Health; Reaction Time; Reporting; Research; Residual state; Resistance; Rest; Risk; Role; SNP genotyping; Sampling; Seasons; Sister; Site; Source; Structure; Tanzania; Target Populations; Temperature; Translating; Variant; Work; base; experience; exposed human population; feeding; genetic manipulation; genome sequencing; improved; innovation; interdisciplinary approach; interest; knowledge base; neglect; novel; population genetic structure; preference; programs; public health relevance; response; success; trait; transmission process; vector; vector control; vector mosquito

DESCRIPTION (provided by applicant): Sequencing of the genome of Anopheles gambiae s.s., one of the primary mosquito vector of malaria in Africa, has been touted as "...a breakthrough in public health" by providing a means for mapping, selecting and exploiting genes of interest. To date the major focus of such efforts has been on exploring the genetic basis of susceptibility to malaria parasites (Plasmodium sp.) in model systems in the laboratory. These have often not translated well to what is occurring in nature. Indeed, it has become clear that examining vector phenotypes in an ecological context, as they occur in nature, is critical for producing results relevant to malaria epidemiology in real transmission settings. In this application we propose a research program that integrates vector population genomics, ecology and vector behavior with the goal of understanding the determinants of two mosquito behavioral phenotypes crucial to the transmission and control of malaria: (1) host-preference and (2) adult resting behavior. Our approach builds upon a sizeable base of preliminary work in the laboratory which has identified an extensive panel of An. arabiensis SNP markers, and preliminary field work in Tanzania that has identified a range of appropriate sites where sampling methods have been piloted and the behavior of An. arabiensis is known to vary. An. arabiensis mosquitoes will be intensively collected from four villages in the Kilombero Valley of Tanzania during the wet and dry seasons to determine the association between their feeding and resting phenotype and environmental factors that vary temporally and spatially (Aim #1). DNA will be extracted from individual samples and multi-locus SNP genotypes determined from each individual. Genotypes will be organized by phenotype (exophilic vs. endophilic and human fed vs. animal fed) and analyzed to determine SNP allele associations with each phenotype after correcting for population structure and genetic relatedness using the efficient mixed-model association (EMMA) method (Aim #2). Knowledge of the genetic basis of these behavioral changes will be vital for prediction of both possible downstream evolutionary responses to current vector control strategies, and also for the development of novel control strategies that improve the application of currently available vector control methods and/or that are based on vector genetic manipulation. We have enlisted experts in the fields of association mapping (Dr. Eleazar Eskin) and spatial analysis of ecological data (Dr. Daniel Haydon) who will serve as consultants to ensure that the most contemporary and best methods are used for the analysis of data.

描述（由申请人提供）：冈比亚按蚊s.s.的基因组测序，非洲疟疾的主要蚊子媒介之一，被吹捧为“...这是公共卫生领域的一个突破”，为绘制、选择和利用感兴趣的基因提供了一种手段。迄今为止，这些努力的主要重点是探索对疟疾寄生虫（疟原虫属）易感性的遗传基础。在实验室的模型系统中。这些往往不能很好地转化为自然界正在发生的事情。事实上，很明显，在生态背景下检查病媒的表型，因为它们在自然界中发生，对于在真实的传播环境中产生与疟疾流行病学相关的结果至关重要。在本申请中，我们提出了一个研究计划，整合了媒介种群基因组学，生态学和媒介行为，目的是了解对疟疾传播和控制至关重要的两种蚊子行为表型的决定因素：（1）宿主偏好和（2）成虫休息行为。我们的方法建立在实验室初步工作的相当大的基础上，已经确定了一个广泛的小组。arabiensis SNP标记，并在坦桑尼亚的初步实地工作，已确定了一系列适当的网站，其中采样方法已试点和安。已知阿拉伯种是变化的。一个.在雨季和旱季期间，将从坦桑尼亚基隆贝罗山谷的四个村庄集中收集阿拉伯蚊子，以确定它们的进食和休息表型与时间和空间变化的环境因素之间的关联（目标#1）。将从个体样本中提取DNA，并从每个个体中确定多位点SNP基因型。基因型将按表型（嗜外性vs.嗜内性和人类喂养vs.动物喂养）进行组织，并在使用有效混合模型关联（EMMA）方法校正群体结构和遗传相关性后进行分析，以确定SNP等位基因与各表型的关联（目标#2）。这些行为变化的遗传基础的知识将是至关重要的预测可能的下游进化反应，目前的矢量控制策略，也为开发新的控制策略，提高目前可用的矢量控制方法的应用和/或基于矢量遗传操作。我们已聘请了关联绘图（Eleazar Eskin博士）和生态数据空间分析（丹尼尔海顿博士）领域的专家，他们将担任顾问，以确保使用最现代和最好的方法来分析数据。