Human Genome Project and Genomic Concepts
Introduction to the Human Genome Project (HGP)
Presentation Title: The Human Genome Project and Cool Stuff That Came From It.
Presenter: Dr. Lori Banks, Prairie View A&M University (PVAMU).
Key Themes: Understanding genomic history, the reality of protein-coding DNA, and the broader implications for medicine, ethics, and our understanding of race.
Evolutionary and Functional Realities of the Human Genome
Protein-Coding Constraints: * Only approximately of the human genome is used to make RNA and proteins as traditionally taught in molecular biology. * Research is ongoing to determine the specific functions of the remaining of the DNA sequence.
Complexity vs. Gene Count: * Biological complexity is not directly proportional to the total number of genes an organism possesses. * Humans are not the most complex organisms when measured by the size of the genome or the total count of genes.
Scientific Outcomes of the HGP: * The project produced essential tools for auxiliary research across various fields. * It challenged pre-existing scientific biases and raised new questions rather than providing a final, definitive answer to all genomic inquiries.
Comparative Genomics: Size, Gene Count, and Density
General Concept 21.3: Genomes vary significantly in overall size, number of genes, and gene density (number of genes per million base pairs).
Measurement Units: * = Million base pairs. * Statistics are based on the haploid genome size, representing a complete set of genetic information.
Bacteria: * Haemophilus influenzae: Haploid Size: ; Genes: ; Density: . * Escherichia coli: Haploid Size: ; Genes: ; Density: .
Archaea: * Archaeoglobus fulgiclus: Haploid Size: ; Genes: ; Density: . * Methanosarcina barkeri: Haploid Size: ; Genes: ; Density: .
Eukaryotes: * Saccharomyces cerevisiae (yeast/fungus): Haploid Size: ; Genes: ; Density: . * Utricularia gibba (floating bladderwort): Haploid Size: ; Genes: ; Density: . * Caenorhabditis elegans (nematode): Haploid Size: ; Genes: ; Density: . * Arabidopsis thaliana (mustard family plant): Haploid Size: ; Genes: ; Density: . * Drosophila melanogaster (fruit fly): Haploid Size: ; Genes: ; Density: . * Daphnia pulex (water flea): Haploid Size: ; Genes: ; Density: . * Zea mays (corn): Haploid Size: ; Genes: ; Density: . * Ailuropoda melanoleuca (giant panda): Haploid Size: ; Genes: ; Density: . * Homo sapiens (Human): Haploid Size: ; Genes: ; Density: . * Paris japonica (Japanese canopy plant): Haploid Size: ; Genes and density not determined (ND).
Modern Genetic Insights and Ethical Considerations
Genetic Randomness: Humans exhibit high levels of genetic variation; there is no biological "normal" human genome.
Inter-species Similarity: Organisms across different taxa are more genetically similar than previously assumed.
Technological Advancement: DNA sequencing transition from high-cost endeavors to very cheap, accessible technology.
Medical Applications: * Personalized Medicine: Tailoring treatments based on an individual's unique genetic profile. * Vaccine Development: Using genomic data to accelerate the creation of immunizations.
Gene Patenting Ethics: * Early 2000s: Several genes linked to diseases were patented, including and (breast and ovarian cancers), and (colon cancers), (cystic fibrosis), and (hemochromatosis). * Supreme Court Ruling (2013): The US Supreme Court ruled that naturally occurring gene sequences cannot be patented; they do not belong to any individual or corporation.
Race vs. Genetic Heritage: * Genetic heritage and the social construct of race are distinct concepts. * Race has no scientific basis in terms of discrete genetic categories.
Recessive Genetic Disorders: Cystic Fibrosis (CF)
Genetic Basis: Caused by mutations in the gene.
Inheritance Pattern: CF mutations segregate as a recessive trait.
Clinical Presentation: Patients produce abnormally thick mucus in the lungs, which obstructs airways.
Impact on Life Expectancy: * Historically: Fatal during childhood. * Modern Medicine: Current life expectancy is approximately years.
Prevalence Statistics: * in Caucasian newborns. * in African American newborns. * in Asian newborns.
Case Study: Personal Genomics (23andMe Example)
Individual Profile: Dr. Lori Banks (LB).
Ancestry Composition Results: * Sub-Saharan African. * West African. * Ghanaian, Liberian, and Sierra Leonean. * Nigerian.
Scientific Conclusion: Race is not the same as genetic inheritance; genetic data provides specific geographic and ancestral lineage information rather than confirming social race categories.
Questions & Discussion
Question: What do you know/remember about the Human Genome Project? * Context: This open question serves to gauge prior knowledge of the landmark international research project.
Question: How much of our DNA is being used to make proteins? * Response: Approximately .
Question: How many genes are in the human genome? * Response: Approximately (as listed in Table 21.1).
Question: What are some questions that can be explored by sequencing and comparing genomes? * Context: This encourages inquiry into evolutionary relationships, the basis of disease, and functional genomics.
Question: If you determine the sequence of a naturally occurring gene, should you be able to patent it? * Historical Context/Response: While many were patented in the early 2000s, the 2013 Supreme Court ruling established that naturally occurring sequences cannot be patented.