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

Assessing benthic recovery following cessation of salmon farming using eDNA metabarcoding (ABReDNA)

使用 eDNA 元条形码 (ABReDNA) 评估停止鲑鱼养殖后的底栖恢复

基本信息

批准号：
2600261
负责人：
金额：
--
依托单位：
University of the Highlands and Islands
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2600261
关键词：
Assessing benthic recovery following cessation

项目摘要

Salmon farming enriches local sediments with organic matter (OM) to an extent that depends on the local hydrodynamic regime, site characteristics and hosted fish biomass. The OM accumulation/bacterial assimilation drives changes in the macrobenthos and these changes are used as indicators in regulatory-compliance assessment for active farm sites. Most licensed sites are still in production and there is currently little information on the dynamics of sediment recovery following cessation of farming. The student will join an international team developing the eDNA approach to ecosystem monitoring, specifically focussed on aquaculture. This PhD student, with CASE collaborators SEPA, will make a substantial contribution to our current knowledge focussing on two main areas: 1. Sources of variability in metabarcoding data, including 'laboratory' and PCR effects. The student will conduct a variance analysis to put lab-effects (e.g. PCR) into context by comparing PCR results, from the same samples, as prepared in different laboratories. 2. Similarities between eDNA- and macrobenthic recovery. Using macrobenthic-validated metabarcoding approaches to track benthic recovery at a fish-farm site, the student will assess how bacterial assemblages change, over time, and will map these changes onto macrobenthic changes to assess differences between the two approaches.

鲑鱼养殖丰富当地沉积物的有机质（OM）的程度取决于当地的水动力机制，网站的特点和宿主鱼类生物量。有机物积累/细菌同化驱动大型底栖动物的变化，这些变化被用作活动农场场地法规合规性评估的指标。大多数有许可证的地点仍在生产，目前关于停止耕作后沉积物恢复动态的信息很少。学生将加入一个国际团队，开发eDNA方法来监测生态系统，特别是专注于水产养殖。这个博士生，与案例合作SEPA，将作出重大贡献，我们目前的知识集中在两个主要领域：1。元条形码数据的变异性来源，包括“实验室”和PCR效应。学生将进行方差分析，通过比较不同实验室制备的相同样品的PCR结果，将实验室效应（例如PCR）置于背景中。2. eDNA和大型底栖动物恢复之间的相似性。使用macrobenthic验证metabarcoding方法来跟踪底栖生物恢复在渔场网站，学生将评估如何细菌组合变化，随着时间的推移，并将这些变化映射到macrobenthic变化，以评估两种方法之间的差异。