权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Seascape genomics of Antarctic deep-sea coral: Groundtruthing larval dispersal models with genetic connectivity data

南极深海珊瑚的海景基因组学：利用遗传连接数据验证幼虫扩散模型

基本信息

批准号：
2429409
负责人：
金额：
--
依托单位：
University of Essex
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2429409
关键词：
Seascape genomics Antarctic deep sea

项目摘要

A detailed understanding of dispersal and genetic connectivity is critical in determining the processes underpinning population persistence and productivity, speciation, appropriate scales for management, and the potential for recovery from detrimental impacts e.g. climate change and/or fishing. Larval dispersal models (LDMs) integrate mathematical hydrodynamic models with species' biological data to predict population connectivity. They are economical, in terms of time and effort, compared to genetic connectivity research that require extensive sampling and expensive laboratory analyses. For this reason, LDMs are increasingly used in marine environments to investigate connectivity (Ross et al., 2016; 2019); especially in areas challenging to sample, e.g. deep sea. However, very few LDMs are validated with genetic connectivity data. This project compares LDM outputs with ground-truthed genomic connectivity data - a combined approach called "seascape genomics" (Selkoe et al., 2016). By using environmental data alongside genomic data, the drivers of connectivity across this rapidly-changing region will be investigated. The study focuses on deep-sea octocorals from sub-Antarctic UK overseas territories - some are marine protected areas giving this project an applied output with great potential for management impacts.

详细了解扩散和遗传连通性对于确定支撑种群持久性和生产力的过程、物种形成、适当的管理规模以及从气候变化和/或捕捞等有害影响中恢复的潜力至关重要。幼虫扩散模型（ldm）将数学流体动力学模型与物种的生物学数据相结合，以预测种群的连通性。与需要大量采样和昂贵的实验室分析的基因连接性研究相比，它们在时间和精力方面都是经济的。因此，ldm越来越多地用于海洋环境中调查连通性（Ross et al., 2016; 2019）；特别是在具有挑战性的采样区域，例如深海。然而，很少有ldm是用遗传连通性数据验证的。该项目将LDM输出与真实的基因组连接数据进行比较，这是一种称为“海景基因组学”的组合方法（Selkoe等人，2016）。通过使用环境数据和基因组数据，将研究这个快速变化地区的连通性驱动因素。这项研究的重点是来自亚南极英国海外领土的深海八爪珊瑚，其中一些是海洋保护区，使该项目的应用产出具有很大的管理影响潜力。