Genetics
Code: 100777 ECTS Credits: 6| Degree | Type | Year |
|---|---|---|
| Biology | FB | 1 |
Contact
- Name:
- Alba Garcia Rodriguez
- Email:
- alba.garcia.rodriguez@uab.cat
Teachers
- Barbara Negre De Bofarull
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
There are no official prerequisites other than those for access to the degree. Nonetheless, it is recommended to review the subjects seen during high school regarding genetics, cell division, probability calculation and basic statistics.
Objectives and Contextualisation
The main objectives are:
- The understanding of the bases and mechanisms of biological inheritance as well as those of genetic improvement
- The ability to perform genetic analysis of the different characteristics of living organisms
- The ability to design and obtain information on genetic experiments as well as to interpret the results obtained
- The development of a historical vision that allows to summarize the main landmarks of genetics and to assess their contributions to current biology
Learning Outcomes
- CM11 (Competence) Design genetics and genomics experiments adapted to the different fields of biology and respecting ethical principles and social needs.
- KM16 (Knowledge) Describe the structure and organisation of nucleic acids in different groups of organisms.
- KM17 (Knowledge) Define the mechanisms of heredity and the processes that regulate gene expression, as well as the fundamentals of genetic improvement.
- KM18 (Knowledge) Identify the basic genetic mechanisms of evolutionary change.
- KM19 (Knowledge) Identify the specific bibliographic sources in genetics that allow, in an autonomous way, to develop and extend the knowledge acquired.
- SM13 (Skill) Carry out diferent kinds of genetic analyses of living beings using genomic techniques and interpreting the results obtained.
- SM15 (Skill) Summarise the most relevant historical milestones in genetics, assessing their contributions to current biology.
Content
Theory
- Introduction to Genetics: Biogenesis, development and biological inheritance; Genetics as a modern science.
- The hereditary material: Nature and organization; Genes and Genomes; the chromosomes.
- Cell division: Celular cicle and mitosis; Sexual reproduction and meiosis.
- Variations in the hereditaru material: Mutations and Allels; Somatic and Germinal Mutations; Chromosomal variation.
- Basic principals of inheritance: Genetic transmission; The works of Mendel; Segregation and dominance; Independent transmission.
- Extensions of Mendelism: Sex and inheritance patterns; Multiple allele series; Lethality; Gene interaction; Environmental effects.
- Mapping of eukaryotic chromosomes: Chromosomes and linkage; Recombination; Eukaryotic linkage maps.
- Quantitative genetics: Genetic basis of quantitative traits; Statistical analysis of the quantitative traits; Phenotypic variation and heritability; Artificial selection.
- Population genetics: Genotypic and allelic frequencies; The law of Hardy-Weinberg; The sources of variation.
Classroom problems
- The hereditary material
- Mendelisme
- Chromosome linkage and recombination
- Quantitative genetics
- Population genetics
Laboratory practices
- Introduction to the biology and morphology of Drosophila melanogaster
- Analysis of a mutant and assignment to its linkage group
- Elaboration of a simple linkage map
Activities and Methodology
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Laboratory practices | 9 | 0.36 | CM11, KM17, KM19, SM13, SM15, CM11 |
| Lectures | 30 | 1.2 | CM11, KM16, KM17, KM18, KM19, SM13, SM15, CM11 |
| Problems sessions | 11 | 0.44 | KM16, KM18, SM13, KM16 |
| Type: Supervised | |||
| Tutorials | 5 | 0.2 | |
| Type: Autonomous | |||
| Individual study | 68 | 2.72 | CM11, KM16, KM17, KM18, KM19, SM13, SM15, CM11 |
| Moodle participation | 10 | 0.4 | |
| Problems solving | 10 | 0.4 | KM16, KM18, SM13, KM16 |
The development of the training activities of the course is based on: Lectures, problem classes and laboratory practice classes, each of them with its specific methodology.
Lectures: Lectures are based on master classes with ICT support. Emphasis is made to acquisition of important concepts and skills for the students. The audiovisual material used in class can be found in the Moodle. The students require developing independent learning strategies outside of class.
Problems: The sessions are performed in small groups which allow to deepen the information given on the master class and to work on specific areas of the course. These sessions promote students to apply the theoretical knowledge to solve practical problems, as well as to demonstrate their skills by solving problems on the blackboard.
Laboratory practices: These sessions are done in small groups. Here the student has the opportunity to work at the laboratory doing experiments related to practical cases of the subject. The data obtained in the experiments are analyzed and a global view of the techniques used is given. The students can access protocols and practice guides through the Moodle. To be able to attend it is necessary that the student justify having passed the biosafety and security tests (Moodle) and accepts the operating rules of the laboratories of the Facultat de Biosciènices.
Considerations regarding the use of Artificial Intelligence:
PROHIBITED USE: In this course, the use of Artificial Intelligence (AI) technologies is not permitted in any gradable assignment (Laboratory Practice Exams, Theory and Problem Exams, Moodle Activities).
RESTRICTED USE: In this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for tasks such as bibliographic or information searches, as support in autonomous study activities. Whenever required, the student must clearly identify whether AI tools have been used, which parts have been generated with such technology, specify the tools employed, and include a critical reflection on how these have influenced both the process and the final outcome of the activity. Lack of transparency in the use of AI will be considered academic dishonesty and may lead to penalties or more serious sanctions in severe cases. The teaching staff urges caution in the use of AI and strongly recommends the use of the bibliography provided both in the course guidance and on the virtual campus.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Assessment
Continous Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Exams | 75 | 6 | 0.24 | CM11, KM16, KM17, KM18, KM19, SM13, SM15 |
| Moodle activities | 10 | 0.5 | 0.02 | CM11, KM16, KM17, KM18, KM19, SM13, SM15 |
| Practices | 15 | 0.5 | 0.02 | CM11, KM16, KM17, KM18, SM13 |
The evaluation of the subject is a continuous process within the teaching period and conforms to the UAB Evaluation Regulations.
The skills and concepts of this subject will be assessed through different activities:
1 Teory and problems: These exams include the evaluation of the skills worked on in the theory and problem classes. Three tests will be held throughout the semester. The grade of each test corresponds to 25% of the final grade.
2 Practices. Each of the practice sessions will be evaluatedby means of a test. The grade of practices represents 15% of the final grade of the course. Attendance at practices is mandatory.
3 Moodle activities. Students will be able to participate in solving problems and quizzes that they will find in the subject's Moodle classroom in the Virtual Campus. Results and participation in this activity will be evaluated. These activites represent 10% of the final grade of the course.
Final considerations:
- The course will be approved when the final weighted mark is greater than or equal to 5.0.
- Students with a weighted final grade of less than 5.0 may take a final exam. The grade for this exam will replace the average grade for the three classroom exams. The students must have been previously evaluated in a set of activities the weight of which is equivalent to a minimum of 2/3 of the total grade of the subject. Therefore, the student will obtain the qualification of "Not Evaluable" when the evaluation activities carried out have a weighting of less than 67% in the final qualification.
- Single evaluation. Students who have requested the single assessment of the subject will take the same final exam as students with a weighted grade ofless than5.0. The mark of this exam will correspond to 75% of the final mark of the subject. 15% of the final grade will correspond to the practical grade whose attendance is mandatory. The remaining 10% of the final mark will correspond to the participation in the activities, of Moodle. Single-assessment students who have a weighted final grade of less than 5.0 may take an extraordinary exam, whose grade will only replace the grade previously obtained from the final exam.
Bibliography
Theory
- Klug, W.S., M.R. Cummings, Ch.A. Spencer & M.A. Palladino (2013) Conceptos de Genética. 10a edició. Pearson Educación, S.A., Madrid. https://bibcercador.uab.cat/permalink/34CSUC_UAB/avjcib/alma991004958949706709
- Griffiths, A.J.F., S.R. Wessler, R.C. Lewontin & S.B. Carroll (2008) Genética. 9a edició. McGraw-Hill/Interamericana, Madrid. https://csuc-uab.primo.exlibrisgroup.com/permalink/34CSUC_UAB/avjcib/alma991008570979706709
- Pierce, B.A. (2009) Fundamentos de Genética. Conceptos y relaciones. Editorial Médica Panamericana, Madrid. https://csuc-uab.primo.exlibrisgroup.com/permalink/34CSUC_UAB/1eqfv2p/alma991002094809706709
- Pierce, B.A. (2016) Genética. Un enfoque conceptual. 5a edició. Editorial Médica Panamericana, Madrid. https://csuc-uab.primo.exlibrisgroup.com/permalink/34CSUC_UAB/1pvhgf7/alma991007007729706709
- Brown, T. A. (2023). Genomes 5. 5th edition. Boca Raton, Florida. https://bibcercador.uab.cat/permalink/34CSUC_UAB/cugbhl/alma991010871761406709
- Brown, T. A. (2008). Genomas. 3a edició. Médica Panamericana, Buenos Aires. https://bibcercador.uab.cat/permalink/34CSUC_UAB/1eqfv2p/alma991008672289706709
Problems
- Benito, C. (1997). 360 problemas de Genética. Resueltos paso a paso. Editorial Síntesis, Madrid
- Elrod, S. & W.D. Stansfield (2002) Schaum ́s Outline of Genetics. 4th edition. Mc Graw-Hill, USA
Software
None
Groups and Languages
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
| Name | Group | Language | Semester | Turn |
|---|---|---|---|---|
| (PAUL) Classroom practices | 111 | Catalan | first semester | morning-mixed |
| (PAUL) Classroom practices | 112 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 111 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 112 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 113 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 114 | Catalan | first semester | morning-mixed |
| (TE) Theory | 11 | Spanish | first semester | morning-mixed |