BackPopulation Genetics: Genomic Approaches to Population Structure
Study Guide - Smart Notes
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{"type":"doc","content":[{"type":"heading","attrs":{"textAlign":null,"level":2},"content":[{"type":"text","text":"Population Genetics"}]},{"type":"heading","attrs":{"textAlign":null,"level":3},"content":[{"type":"text","text":"Introduction to Population Genetics"}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","text":"Population genetics is the study of the genetic composition of groups of individuals of the same species and how it changes over time and across geographic regions. It is fundamental to understanding evolution and the forces that drive changes in allele frequencies within populations."}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Genetic Composition:"},{"type":"text","text":" Refers to the distribution of alleles and genotypes in a population."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Evolution:"},{"type":"text","text":" The change in genetic composition over generations."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Forces Affecting Allele Frequencies:"},{"type":"text","text":" Mutation, migration (gene flow), genetic drift, natural selection, and artificial selection."}]}]}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"image","attrs":{"src":"https://static.studychannel.pearsonprd.tech/study_guide_files/genetics/sub_images/5847af08_image_1.png","alt":"Tree of life and DNA illustrating evolutionary relationships","title":null,"width":null,"height":null}}]},{"type":"heading","attrs":{"textAlign":null,"level":3},"content":[{"type":"text","text":"Importance of Understanding Genomic Population Structure"}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","text":"Understanding population structure is crucial for ancestry and evolutionary studies, relatedness, inbreeding, research approaches, conservation, production, and management of species."}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Ancestry/Evolution:"},{"type":"text","text":" Reveals historical relationships and migration patterns."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Inbreeding:"},{"type":"text","text":" Helps manage genetic diversity and avoid negative effects of inbreeding."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Conservation:"},{"type":"text","text":" Informs strategies to preserve endangered populations."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Production/Management:"},{"type":"text","text":" Guides breeding programs for desirable traits."}]}]}]},{"type":"heading","attrs":{"textAlign":null,"level":2},"content":[{"type":"text","text":"Types of Data Used to Study Population Structure"}]},{"type":"heading","attrs":{"textAlign":null,"level":3},"content":[{"type":"text","text":"Genetic Markers and Genomic Data"}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","text":"Various types of genetic data are used to analyze population structure, each with its own strengths and limitations:"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Mitochondrial DNA (mtDNA) or Y Chromosome:"},{"type":"text","text":" Maternal or paternal lineage only."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Microsatellites:"},{"type":"text","text":" Highly variable markers, but limited in number."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Genes:"},{"type":"text","text":" Interpretation may differ depending on the gene studied."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Genome-wide SNP Panels:"},{"type":"text","text":" Provide a broad but panel-biased view of the genome."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Whole-genome Sequences:"},{"type":"text","text":" Offer the most comprehensive view of genetic variation."}]}]}]},{"type":"heading","attrs":{"textAlign":null,"level":2},"content":[{"type":"text","text":"Genomic Approaches to Population Structure"}]},{"type":"heading","attrs":{"textAlign":null,"level":3},"content":[{"type":"text","text":"Principal Component Analysis (PCA)"}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","text":"Principal Component Analysis (PCA) is a statistical method used to reduce the dimensionality of complex datasets by identifying the most important components (principal components) that explain the majority of variation. In population genetics, PCA helps visualize genetic relationships and population structure."}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Principal Components:"},{"type":"text","text":" New variables that are linear combinations of the original variables, capturing the greatest variance."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Eigenvalues:"},{"type":"text","text":" Measure the amount of variation explained by each principal component. Used to determine the % contribution "}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","text":"of a factor (PC) within the dataset"}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Interpretation:"},{"type":"text","text":" The first few principal components usually explain most of the variation."}]}]}]},{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"image","attrs":{"src":"https://static.studychannel.pearsonprd.tech/study_guide_files/genetics/sub_images/5847af08_image_9.png","alt":"Factor loading of body measurements onto principal components","title":null,"width":null,"height":null}}]},{"type":"heading","attrs":{"textAlign":null,"level":4},"content":[{"type":"text","text":"Visualizing PCA"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Boxplots:"},{"type":"text","text":" Show segregation of breeds or populations along a principal component."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Scatterplots:"},{"type":"text","text":" Display clustering of individuals or populations, revealing structure such as subspecies or continental origin."}]}]},{"type":"listItem","content":[{"type":"paragraph","attrs":{"textAlign":null},"content":[{"type":"image","attrs":{"src":"data:image/png;base64,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