Бакалавриат
2026/2027
Молекулярная эволюция
Статус:
Курс обязательный (Клеточная и молекулярная биотехнология)
Кто читает:
Базовая кафедра Института биоорганической химии им. академиков М.М. Шемякина и Ю.А. Овчинникова РАН
Где читается:
Факультет биологии и биотехнологии
Когда читается:
3-й курс, 3, 4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
50
Course Syllabus
Abstract
The course "Molecular Evolution" introduces students to modern approaches to the study of evolution at the molecular level, covering topics from historical concepts to the analysis of genomic data. Core subjects include alignment and phylogenetics algorithms, the origin of life and humans, and applications of evolutionary analysis in medicine and genetics.
Learning Objectives
- Provide students with a systemic understanding of the molecular mechanisms of evolution and their role in biology and medicine.
- Train practical skills: pairwise and multiple sequence alignments, construction and interpretation of phylogenetic trees, work with databases (NCBI, Uniprot, ClinVar, gnomAD) and genome browsers (UCSC)
- Teach students to integrate evolutionary data (conservation, duplications, horizontal transfers) into the interpretation of clinical variants and biological hypotheses
- Foster critical thinking regarding the limitations and uncertainties inherent in evolutionary reconstructions
Expected Learning Outcomes
- Analyze molecular mutations and interpret evolutionary mechanisms.
- Apply evolutionary methods to real-world problems.
- Assess the limitations of molecular evolution and comparative genomics.
Course Contents
- Lecture 1. Fundamentals of Molecular Evolution: Mutations, Conservation, Functional Significance, and Natural Selection
- Lecture 2. Efficiency of Selection and Population Size
- Lecture 3. Mechanisms of Protein and Genome Change: Duplications, Domains, and Neofunctionalization
- Seminar 1. Sequence Alignments
Bibliography
Recommended Core Bibliography
- Yang, Z. (2014). Molecular Evolution : A Statistical Approach (Vol. First edition). Oxford: OUP Oxford. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1201167
Recommended Additional Bibliography
- Choudhuri, S. (2014). Bioinformatics for Beginners : Genes, Genomes, Molecular Evolution, Databases and Analytical Tools. Amsterdam: Academic Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=565153
- Galperin, M. Y., & Koonin, E. V. (2000). Who’s your neighbor? New computational approaches for functional genomics. Nature Biotechnology, 18(6), 609. https://doi.org/10.1038/76443