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Adam Wyness

  • eDNA Based Environmental Impact Monitoring PDRA, SAMS UHI
  • Scottish Marine Institute

    PA37 1QA Oban

    United Kingdom

20222026

历年发文量

个人学者

Research Expertise

I am a molecular ecologist with a range of research interests covering microbial community function and their involvement in biogeochemical cycles, microbe/invertebrate interactions, and developing bioinformatic pipelines for the detection of invasive species. My PhD involved both traditional and DNA-based microbiology to investigate the persistence of human pathogens in estuarine sediments with the Sediment Ecology Research Group (SERG) at the University of St Andrews. I then completed a post-doc with SERG investigating biochemical selection pressures exerted on bacterial communities by the ecosystem engineering of estuarine infauna. Prior to SAMS I did a post-doc at Rhodes University in South Africa where I was researching endolithic bacteria that actively degrade calcium carbonate structures (e.g. shells, coral) on the rocky shore. I have also been involved in projects involving using sequencing technologies to investigate pathogenic bacteria on the gills of salmon, lung microbiota of TB patients, microbial communities of sands of the Atacama Desert, and the diet of King penguins.

At SAMS my research is focussing on the development of bioinformatic pipelines to predict the environmental status of infaunal communities from metabarcode sequence data.

与联合国可持续发展目标相关的专业知识

2015 年,联合国成员国同意 17 项可持续发展目标 (SDG),以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标:

  1. Zero hunger
    Zero hunger
  2. Good health and well being
    Good health and well being
  3. Clean water and sanitation
    Clean water and sanitation
  4. Affordable and clean energy
    Affordable and clean energy
  5. Decent work and economic growth
    Decent work and economic growth
  6. Responsible consumption and production
    Responsible consumption and production
  7. Life below water
    Life below water
  8. Life on land
    Life on land

学术指纹

深入探索 Adam Wyness 活跃其中的研究主题。这些主题标签来自该研究者的学术成果,它们共同构成了一个独特的学术指纹.
  • 5 相似学者

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