Evolutionary and Ecological Genetics 3M 1995/6

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Evolutionary and Ecological Genetics 3M 1995/6 Evolutionary and Ecological Genetics Course Guide 2020/2021 Course Overview 3 Learning outcomes from this course 3 Learning outcomes will be achieved through: 4 Staff 4 Course Organiser 4 Course Secretary 4 Lecturers 4 Teaching Period 5 Course Background 5 Possible Honours Courses 5 Workload Expectation 5 Assessment and Deadlines 5 Continuous assessment and essay [50%] 5 Examination [50%] 6 Assessment Policy 6 Adjustment schedules 6 LEARN discussion boards and open ‘Collaborate’ room 7 Representation, Feedback and Appeals 7 EEG timetable and checklist 2020-2021 8 Reading Material 12 Pre-recorded Lecture Modules 13 Introduction to the course (DJO) 13 Population genetics and molecular evolution (DJO) 13 Module 1: Mutations, Diversity and Drift 14 Module 2: Natural Selection 16 Page | 1 Module 3: Balancing Selection and Population structure 18 Module 4: Sex and Recombination 20 Genetics of Complex Traits (Craig Walling) 21 Module 5: Introduction to the genetics of complex traits and heritability 21 Module 6. Estimation of heritability and an introduction to selection on complex traits 23 Module 7. The nature of complex trait variation 24 Module 8: Molecular Phylogenetics (Paul Sharp) 25 8.1 Introduction to phylogenetics 25 Module 9: Speciation (Simon Martin) 26 Module 10: Genetic parasites (Darren Obbard) 27 Computer Practicals and Quizzes 28 Problem Tutorial Sessions 28 In-course Essay 29 Part 1: What makes a good essay? 29 Part 2: Engagement with the starter-references [3%] 29 Part 3: Writing the Essay [27%] 30 Essay Titles 31 Appendix – Practical advice for essay writing 36 Further Information 39 Page | 2 Course Overview This course will introduce you to the processes that underlie evolutionary change in natural populations. It is intended to give an integrated view, showing how theoretical approaches can be applied to investigate natural evolutionary processes. We will deal with subjects ranging from the evolutionary fate of molecular sequences to the genetic consequences of interactions between species, and from variation at single genes to speciation. The course starts with population genetics and molecular evolution (Weeks 1-4) emphasising its importance in understanding the process of biological evolution. This is followed by an introduction to the genetics of quantitative characters (Weeks 5-7). The course ends with lecture modules on molecular phylogenetics, mechanisms of speciation, and genetic parasites (Weeks 8-10). The first three sections of the course are associated with computer-based practical classes (which are assessed through digital quizzes online) and live digital “problem” tutorials. These sessions are designed to assist with understanding of key concepts, to give practice in problem solving and to develop competence in quantitative analysis. An essay and associated tutorials provide the opportunity for assimilating and synthesising information from the primary literature and discussing its interpretation. Learning outcomes from this course University of Edinburgh courses follow the Scottish Credit and Qualification Framework (SCQF), which has 12 levels for each of 6 specified ‘characteristics’. 1) Knowledge and Understanding Know that Biological Evolution is the result of interaction between processes such as mutation, genetic drift, natural selection, migration, and recombination, and understand in qualitative terms how these processes occur and interact 2) Practice: Applied Knowledge, Skills and Understanding Be able to apply simple equations and statistical methods to quantify the processes that underlie evolution, and to test for departures from neutral or null expectations 3) Generic Cognitive Skills Be able to integrate distinct views of the evolutionary process, and to assess and evaluate the assumptions behind models and model-based analyses 4) Communication, ICT, and Numeracy Use graphs to display and interpret genetic and phenotypic data in an evolutionary or ecological context, and use simple statistical methods such as the chi-squared test, regression and ANOVA to analyse them. 5) Autonomy, Accountability, and Working with others Be able to work in small groups to propose and evaluate standard methods for analysing genetic and phenotypic data in an evolutionary or ecological context, and present your solutions and reasoning to peers. EEG3 is a level 9-10 course (Ordinary to Honours degree level). Page | 3 Learning outcomes will be achieved through: Pre-recorded lecture modules and live digital discussions the basic concepts and quantitative foundation of population genetics the importance of population genetics in population management how molecular evolution links evolutionary biology and population genetics what can be learned about natural selection through molecular population genetics the fundamentals of quantitative genetics Live digital computer practical classes to study the use of computer simulations to understand the behaviour of genes in populations to become familiar with phylogenetic analysis of molecular sequence data to become familiar with experimental and analytical techniques in current use in evolutionary genetics to appreciate the importance of statistical techniques in the analysis and interpretation of biological and genetic data Live digital problem sessions and discussion to develop skills in solving quantitative problems in evolutionary genetics Essay writing to develop skills in understanding, assimilating and presenting scientific arguments in a critical and original fashion Staff Course Organiser Dr. Darren Obbard (Institute of Evolutionary Biology) Ashworth 2, room 2.09, [email protected] Course Secretary Janna James (BTO) for any questions regarding times, dates, deadlines, rooms or paperwork, please email [email protected] Lecturers Dr. Darren Obbard (IEB) ([email protected]) Dr. Craig Walling (IEB) ([email protected] ) Prof. Paul Sharp (IEB) ([email protected]) Dr. Simon Martin (IEB) ([email protected]) All teaching staff are actively involved in research in evolutionary genetics. Our areas of research are described below (use the pdf version of this document to access the hyperlinks!): Darren Obbard link Genome evolution (invertebrates, RNAi and viruses) Craig Walling link Quantitative genetics and life history evolution (red deer, Drosophila) Simon Martin link Population genomics and speciation in Butterflies Paul Sharp link Molecular evolution (viruses, malaria parasites) Course email address (for all general enquiries) - [email protected] Page | 4 Teaching Period Semester 1 Course Background Preferred background: Evolution in Action 2 Possible Honours Courses The course is appropriate for students intending to take any one of a wide range of Honours courses, including Evolutionary Biology, Zoology, Ecology, Genetics, Molecular Genetics, and Plant Sciences. Workload Expectation This is a 20 credit course, which is intended to equate to 200 hours of your time. We think a reasonable breakdown of those 200 hours could be: Component Approximate number Total time Watching pre-recorded lecture modules 10 x 2h 20h Answering lecture module practice quizzes 10 x 3h 30h Attending live Q&A sessions 20 x 1h 20h Computer practicals & assessed quizzes 5 x 3h 15h Problem sessions & practice quizzes 5 x 3h 15h Course essay preparation 30h Writing the course essay 20h Reading, Revision, and Exam practice 50h Total 200h Assessment and Deadlines Continuous assessment contributes 50% of the total marks for the course. The open-book examination, which will be taken within a 24-hour window at the end of the semester, contributes the other 50%. Continuous assessment and essay [50%] The continuous assessment marks comprise 27% for the in-course essay, 3% for engagement with the essay reading, and 20% for four short online quizzes associated with computer practicals (5% each). Questions for the assessed practicals are directly related to the practical questions, and should only take a few minutes. Note that the quiz for practical 1 does not count towards your overall course mark, but it is still important, as this is an opportunity to practice. Also remember that the more challenging lecture-module and problem-session quizzes are not assessed – those are just to help you learn The course essay must be submitted in electronic form through turnitin, using your exam number for identification. Deadlines for submission are provided via LEARN. Marked and annotated essays will be returned electronically Any hard-copy submissions must have a barcode attached. Page | 5 Examination [50%] The examination will be done digitally, open-book, in a 24-hour window toward the end of semester 1. This means that there will be little time for revision between the end of the course and the examination. You are therefore encouraged to learn the course material as you go along. The examination paper will contain 3 sections. Section 1 will be done electronically online. It will contain two equally weighted quantitative / calculation ‘problem’ questions, both of which must be answered. [20%] Section 2 will be done offline. It will contain two short answer questions, and one of these questions must be answered. [15%] Section 3 will be done offline. It will contain two short answer questions, and one of these questions must be answered. [15%] Material will be distributed between sections 2 and 3 to ensure that questions covering both population-genetics (molecular evolution) and quantitative genetics must be answered. Note that this is a new structure from 2020 onward, and
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