Course: Genetic Mapping and DNA Markers

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Course title Genetic Mapping and DNA Markers
Course code KBC/GEMAP
Organizational form of instruction Seminar
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Valárik Miroslav, Mgr. Ph.D.
Course content
1. Marker types definition. Markers based on phenotype, proteins and DNA sequence and comparison of their advantages and limitations. Types of polymorphism suitable for marker development. Markers based on hybridization and PCR. 2. Practical approaches for DNA marker development, identification of DNA sequences available for marker development. Use of protein sequence for marker identification and marker development. Utilization of bioinformatics and database tools. 3. Optimal approaches for marker development in target regions or whole genome "high-throughput" marker development approaches. Markers advantageous for map construction and phylogenetic analyses. 4. Basic principles for genome map construction. Types of maps and mapping populations and their utilization. Genotyping data analysis and map construction. Definitions of genetic and physical maps. 5. Available tools for construction of linkage maps. Demonstration using JoinMap and MultiPoint software. 6. Integration of genetic and physical maps. "Consensus" maps.

Learning activities and teaching methods
Lecture
  • Preparation for the Exam - 30 hours per semester
  • Attendace - 26 hours per semester
Learning outcomes
The course is designed for students of the Bioinformatics study program. In an adequate and concise form, students will learn practical ways of marker development from all possible DNA polymorphisms and marker utilization for genetic map construction and phylogenetic analysis.
Students will acquire practical knowledge about DNA marker development, their use and genetic map construction.
Prerequisites
Successful completion of bachelor's level study requirements; successful passing of subject KBB/GENOM.

Assessment methods and criteria
Oral exam

Successful passing of written colloquium - obtaining of at least 60% of credit points.
Recommended literature
  • Cvrčková, F. Úvod do praktické bioinformatiky. Praha 2006.
  • Hardigan, MA; Feldmann, MJ; e.al. (2023). A medium-density genotyping platform for cultivated strawberry using DArTag technology. Plant Genome.
  • Janáková, E., , Peusha, H., Abrouk, M., Škopová, M. Šimková, H., Šafář, J., Vrána, J., Doležel, J. Järve, K., Valárik, M. (2019). Divergence between bread wheat and Triticum militinae in the powdery mildew resistance QPm.tut 4A locus and its implications for cloning of the resistance gene. Theoretical and Applied Genetics 132: 1061-1072.
  • Korchanová, Z., Švec, M., Janáková, E., Lampar, A., Majka, M., Holušová, K., Bonchev, G., Juračka, J., Cápal, P., Valárik, M. (2022). Identification, high-density mapping, and characterization of new major powdery mildew resistance loci from the emmer wheat landrace GZ1. Frontiers in Plant Science 13: 897697.
  • Krawetz, S.A., Woble, D.D. (2003). Introduction to Bioinformatics. A theoretical and Practical Approach. Humana Press, Totowa, New Jersey.
  • Lynch M., Walsh B. (1998). Genetics and Analysis of Quantitative Trakte. USA.
  • Mount, D.W. (2004). Bioinformatics : sequence and genom analysis.. Cold Spring Harbor.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Biochemistry (2022) Category: Chemistry courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Bioinformatics (2021) Category: Informatics courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Analytical Biochemist (2024) Category: Chemistry courses - Recommended year of study:-, Recommended semester: Summer