UNDERSTANDING HOW DISEASE AND ENVIRONMENT COMBINE TO STRUCTURE RESISTANCE IN ESTUARINE BIVALVE POPULATIONS

UNDERSTANDING HOW DISEASE AND ENVIRONMENT COMBINE TO STRUCTURE RESISTANCE IN ESTUARINE BIVALVE POPULATIONS
复制标题

DOI:
10.5670/oceanog.2009.110
复制
发表时间:
2009-12-01
期刊:
影响因子:
2.8
通讯作者:
Zhang, Liusuo
Zhang, Liusuo
中科院分区:
地球科学4区
文献类型:
--
作者:
Hofmann, Eileen;Bushek, David;Zhang, Liusuo

文献摘要

被引文献

相似文献

特拉华湾牡蛎 (Crassostrea virginica) 种群受到两种导致 Dermo 和 MSX 疾病的致命寄生虫的影响。作为美国国家科学基金会传染病生态学计划的一部分,为特拉华湾开发的一个项目重点了解牡蛎种群遗传学和种群动态如何与环境和这些寄生虫相互作用以构建宿主种群,以及这些相互作用如何因气候变化而改变。该计划期间进行的实验室和实地研究包括确定与 MSX 和 Dermo 抗病性相关的基因、潜在的避难所区域及其存在机制、来自假定的避难所和高疾病区域的牡蛎的表型和基因型差异,以及产卵种群有效规模的空间和时间变异性。所得数据为牡蛎遗传学、种群动态和幼体生长模型提供输入,这些模型与为特拉华湾开发的三维循环模型相结合。拉格朗日粒子轨迹的重建用于推断牡蛎幼虫以及 MSX 和 Dermo 病病原体的运输途径。实验室、现场和建模研究的结果使我们能够了解特拉华湾牡蛎种群的长期变化,这些变化是随着牡蛎种群对气候、环境和生物变化的反应而发生的。
Delaware Bay oyster (Crassostrea virginica) populations are influenced by two lethal parasites that cause Dermo and MSX diseases. As part of the US National Science Foundation Ecology of Infectious Diseases initiative, a program developed for Delaware Bay focuses on understanding how oyster population genetics and population dynamics interact with the environment and these parasites to structure he host populations, and how these interactions might modified by climate change. Laboratory and field studies undertaken during this program include identifying genes related to MSX and Dermo disease resistance, potential regions for refugia and the mechanisms that allow them to exist, phenotypic and genotypic differences in oysters from putative refugia and high-disease areas, and spatial and temporal variability in the effective size of the spawning populations. Resulting data provide inputs to oyster genetics, population dynamics, and larval growth models that interface with a three-dimensional circulation model developed for Delaware Bay. Reconstruction of Lagrangian particle tracks is used to infer transport pathways of oyster larvae and MSX and Dermo disease pathogens. Results emerging from laboratory, field, and modeling studies are providing an understanding of long-term changes in Delaware Bay oyster populations that occur as the oyster population responds to climate, environmental, and biological variability