Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
30.9.2019 at 10:00 - 25.11.2019 at 15:00

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 25.11.2019
09:00 - 15:00
Tue 26.11.2019
09:00 - 15:00
Wed 27.11.2019
09:00 - 12:00
Wed 27.11.2019
12:00 - 16:00
Thu 28.11.2019
09:00 - 15:00
Fri 29.11.2019
09:00 - 15:00

Description

Priority will be given to LUOVA doctoral candidates

After completing the course, doctoral candidates will

  • identify main molecular methods, especially various DNA barcoding approaches
  • be prepared to choose the optimal approach for their own project
  • have self-confidence to carry out the entire laboratory workflow
  • have some basic bioinformatic skills relevant to modern molecular ecology
  • be able to critically evaluate molecular species identification processes

To be completed at any time during doctoral studies

The five-day intenstive course consists of lectures (two days; 0.5 ECTS), laboratory exercises (two days; 1 ECTS), and bioinformatic exercises (one day; 0.25 ECTS), as well as independent work by the students (1 ECTS). The course exam (0.25 ECTS) takes place after the course. All material of the course is available in Moodle for participants.

Ecological species surveys are increasingly based on molecular methods. This course focuses on so-called “DNA barcode” approaches, that is, short sequences (for example from faeces, soil, water, air, dead-wood, insect traps, etc.) targeted specifically for species identification, e.g. COI for animals, ITS for fungi, and 16S for microbiota. The course covers the entire state-of-the-art pipeline of methods used for molecular species identification: theory, sampling, lab-work (DNA extraction, library preparation & sequencing), and bioinformatics (OTU clustering and taxonomic placement).

Full attendance and completion of the independent work and exam.

As agreed with the supervisor or person in charge of studies

As agreed with the supervisor or person in charge of studies

Pass or fail. To pass the course (3 ECTS), student must attend most of the lectures. Attending the practical’s and bioinformatic session are mandatory, and the independent work must be returned prior passing the course. The course exam needs to be passed.

Language: English or as agreed with the supervisor or person in charge of studies

As agreed with the supervisor or person in charge of studies

Docent Eero Vesterinen (University of Turku ) & Docent Helena Wirta (University of Helsinki)