Martin Hartmann: Katalogdaten im Frühjahrssemester 2021

NameHerr Dr. Martin Hartmann
Adresse
Professur Nachhaltige Agrarökosyst
ETH Zürich, LFH B 6
Universitätstrasse 2
8092 Zürich
SWITZERLAND
Telefon+41 44 633 88 36
E-Mailmartin.hartmann@usys.ethz.ch
URLhttp://www.microbiome.ch
DepartementUmweltsystemwissenschaften
BeziehungDozent

NummerTitelECTSUmfangDozierende
751-5000-00LSustainable Agroecosystems I Belegung eingeschränkt - Details anzeigen 2 KP2GJ. Six, K. Benabderrazik, M. Hartmann
KurzbeschreibungWelche Faktoren, Prozesse und Interaktionen beeinflussen die Funktionsfähigkeit von Agrarökosystemen? In dieser Lehrveranstaltung mit integrierter Übung und Exkursion werden landwirtschaftliche Verfahren im Hinblick auf eine Förderung der Ressourceneffizienz analysiert, wobei die Verringerung negativer Umweltwirkungen und die Sicherung der sozio-ökonomischen Tragfähigkeit berücksichtigt wird.
LernzielStudierende setzen sich kritisch mit den Konzepten der nachhaltigen Landwirtschaft auseinander.
InhaltThe course will address a wide range of agricultural and food systems topics in both temperate and tropical contexts, from the diversity of farming system, to climate smart agriculture to sustainable assessment. A wide variety of case studies will be presented, and complemented with a farm visit during the semester. Along the semester, the class is integrating practical exercises within a greenhouse.
LiteraturGliessman, S.R. (2015) Agroecology: The ecology of sustainable food systems, CRC Press, 371 p.
Voraussetzungen / BesonderesDie integrierten Übungen ermöglichen es den Studierenden das erworbene Wissen in einem mehrmonatigen Gewächshausexperiment zu erproben.
751-5127-00LMicrobiomics I: The Microbiome of the Plant-Soil System2 KP2GM. Hartmann
KurzbeschreibungThis class conveys the current knowledge and state-of-the-art methods for studying the plant-soil microbiome through a combination of theoretical input lectures, selected case studies from ongoing research projects, and flipped classroom assignments.
LernzielAfter the course, the participants will be able to
(1) explain how microorganisms influence and respond to changes in the plant-soil system
(2) evaluate the strengths and limitations of specific methods used in microbial ecology research
(3) critically assess current research findings in this field
InhaltThe plant-soil microbiome is an essential component of agroecosystems, regulating crop growth, nutrient use efficiency, stress resilience, and disease resistance. In this course, students will develop a fundamental understanding of (i) how microorganisms shape the functioning of the plant-soil system, (ii) how ecosystem management and global changes are influencing diversity and functioning of these microbial systems, and (iii) how the microbiome might be managed to improve sustainable agricultural production. A strong focus will be placed on getting to know the methodological toolbox to study microbes in the environment including different next-generation DNA sequencing applications such as metabarcoding and metagenomics. Theoretical input lectures will be combined with presentations of current research projects. Flipped classroom assignments will be used to critically discuss research findings of specific publications or to evaluate the strength and limitation of the specific methods.
LiteraturMadigan MT, Bender KS, Buckley DH, Sattley WM and Stahl DA (2019). Brock Biology of Microorganisms, 15th edition, Pearson Education Limited.
Paul E (2014). Soil Microbiology, Ecology and Biochemistry, 4th edition, Academic Press.
Voraussetzungen / BesonderesThe participants should have some basic background in biology and a keen interested in learning and discussing how microorganisms shape the functioning of our planet. Whereas this course unit can be taken as standalone class, it also serves as preparatory class for the hands-on block course on microbiome analysis (Microbiomics II).
751-5127-01LMicrobiomics II: Metabarcoding - from Bioinformatics to Statistics Belegung eingeschränkt - Details anzeigen
The course 751-5127-00 Microbiomics I: The microbiome of the plant-soil system is a prerequisit of this course (for MSc students).
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The number of places for MSc-students is limited to 10.
In case of interest, please send a motivation letter (max 1/2 page) to Hartmann Martin (Link) until 28th February 2021. Selection of course participants will be made until 3rd March 2021.

PhD-students from the Plant Science Centre or from the Life Science Zurich Graduate School should register via the Link (> Select Plant Sciences)
1 KP2PM. Hartmann
KurzbeschreibungThis computer block course provides a thorough introduction to the application of next-generation sequencing techniques for analyzing diversity of microbial communities. Using a combination of theoretical lectures and hands-on computer exercises, the participants learn the computational steps from bioinformatic processing of sequencing reads down to the final statistical evaluations.
LernzielAfter the course, the participants will be able to
1) understand the concept, potential and limitation of microbial NGS applications
2) know how to process raw metabarcoding data to obtain meaningful information
3) use multivariate statistical methods evaluate and visualize microbial community data
4) make informed decisions on best practices for their own data
Voraussetzungen / BesonderesThe participants should have some background in microbial ecology and understand the basics of next-generation sequencing techniques as a tool to study microbes in the environment. Participants that are not familiar with these topics are encouraged to take the course unit «The Microbiome of the Plant-Soil System: Part I» as preparatory class (mandatory for master students). No programming or scripting expertise is required, but some basic experience with using command line applications is of advantage since not all the basics can be thoroughly covered in that short amount of time. However, some basic introduction to UNIX-based command line applications will be provided on the first day. All hands-on exercises will be run on UNIX-environments (Linux, Mac) and participants are expected to bring their own UNIX-based laptop (please consult your IT representative if necessary). All statistical analyses will be run in R using RStudio (any operating system). Participants should have installed the following software packages on their computers: Miniconda, R and RStudio, all other software tools will be installed on site using the Miniconda package manager.