The study of host-microbiota interactions has become a central element of various disciplines of biological sciences, ranging from human health to evolution. Today, we know that most complex organisms have a microbial community associated with them, which to a larger or lesser degree affects their biological features. The recent development of multi-omic tools (genomics, transcriptomics, proteomics, metabolomics) enables complex interactions between animal and plant hosts and their microbiota to be analysed in great detail. This course will provide students a thorough theoretical and technical understanding of why and how to study host-microbiota interactions using multi-omics.
Through lectures, seminars and exercises, students will learn key concepts such as hologenomics, host-microbiota interactions, and will acquire detailed knowledge on:
- Biological and genetic properties of hosts (principally
animals, including humans), microbes (mainly those in the gut) and
- Laboratory, bioinformatic and statistical techniques for the generation and joint multi-dimensional analysis of the molecular features of both hosts and microbes.
- Basic and applied contexts for the implementation of host-microbiota multi-omics to address basic biological questions such as the impact of microorganisms in animal evolution, as well as global challenges that range from human health to environmental sustainability.
All this knowledge will equip students with technical skills to analyse multi-omic data, in the context of host-microbiota interactions and beyond.
MSc Programme in Biology
After completion of the course, the students are expected to be able to:
- Describe the biological and genetic properties of hosts and associated microorganisms.
- Identify the main host-microbiota interactions that influence host biology.
- Critically reflect on the hologenome theory of evolution and its implications.
- Understand the available multi-omic data generation methods and critically assess their relevance under specific scientific contexts.
- Critically assess primary literature in the field of microbiota and hologenomic research.
- Manage and organise multi-omic data following Findability, Accessibility, Interoperability, and Reuse (FAIR) of digital assets principles.
- Code and analysing multi-omic data in R.
- Present complex biological results to a public audience.
- Perform statistical analyses on multi-omic datasets.
- Interpret host-microbiota multi-omic data and results within a biological context.
- Analyse and visualise results derived from host-microbiota multi-omic data in the R environment.
- Critically assess primary research and main undergoing scientific discussions in the field of host-microbiota interactions.
- Select the most appropriate omic layers to address specific scientific questions.
- Conduct statistical analyses and data visualisations in the R environment.
- Design and execute a technical project in a team.
The course consists of short lectures, seminars, hands-on computational sessions and group exercises. The lectures will be supplemented with discussions in interactive groups. The seminars are based on discussions of scientific papers and involve student presentations of original research papers, lectures by invited guests, and, importantly, discussions between students, guest lecturers and teachers.
Relevant literature will be provided through Absalon including primary scientific publications.
Academic qualifications equivalent to a BSc degree in biology,
Experience in the R environment is recommended, but not necessary (basic support will be provided).
- 7,5 ECTS
- Type of assessment
Oral examination, 30 minutes
- Type of assessment details
- The oral examination contributes 100% of the evaluation, but the individual assignment must be passed to be admitted to the oral exam.
- Without aids
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
Criteria for exam assessment
In order to obtain the grade 12, the student should convincingly and accurately demonstrate the knowledge, skills and competencies described under Learning Outcomes.
Single subject courses (day)
- Practical exercises
- Project work
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 2
The number of seats may be reduced in the late registration period.
- Study Board for the Biological Area
- Faculty of Health and Medical Sciences
- Ostaizka Aizpurua Arrieta (17-7b7f806d7586776d3a6d75867c817e816d4c7f817a703a77813a7077)
Researchers at the Section for Hologenomics and the Center for Evolutionary Hologenomics, and guest lecturers from others research institutions.
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