Population genetics

first detailed description of the disease. It is believed that the disease was present among the population at a much earlier date as it is caused by a dominant allele. Because of its long history, and the fact that the mutation rate for Huntington's chorea is among the lowest recorded for any inherited condition, the disease has great potential in genealogical investigations. The Afrikaner population posed as a great source to study the disease because of the excellent recording of the origins and

The new genetic drift population sort of accurately represents the original population. For example, one of the largest percentages of the Genetic Drift Population was 33% and the largest percentages of the Original Population was 35% for the phenotype green. However, one of the smallest percentages of the Genetic Drift Population was 0% and one of the smallest percentages of the Original Population was 11% for the phenotype brown. The colors in the original population that are not represented in

Heterozygote Advantage, and Genetic Drift on the Allele Frequencies Over Time Purpose: The purpose of the Population Genetics Lab was to use the Hardy Weinberg theory of genetic equilibrium and examine the relationship between evolution and allele frequencies. Additionally this lab allowed us to examine how microevolution factors such as natural selection, heterozygote advantage, and genetic drift affected the genotype and allele frequencies. Finally the population genetics lab permitted us to become

Population genetics of chickpea and its wild progenitors C. reticulatum and C. echinospermum Susan Moenga Introduction Chickpea, Cicer arietinum, is the second most widely grown legume in the world, cultivated on ~11.5 million ha mostly in India and Ethiopia (FAOSTAT, 2013). Genetic and molecular evidence have demonstrated that C. reticulatum is the progenitor of the cultivated pulse, with Nguyen et al., (2004) and Sethy et al., (2006) both supporting C. reticulatum and C. echinospermum (both restricted

Lab Report 1 Genetic Changes in Populations: The Consequences of Selection General Biology II Lab Junyao Li Introduction In this lab, we explore the reason genetic changes happened within a population. We use bean-bag model to simulate allele and genotype frequencies for three generations of deer mice under three different selective regimes. Then, we use the Hardy-Weinberg Principle to assess the selection and evolution experienced by deer mice. The Hardy-Weinberg Principle is one of the most

Experimental Analysis of C-Fern in Population Genetics Abstract C-Fern plants are a strain of Ceratopteris richardii and have a rapid reproductive cycle, making them perfect subjects in lab to be tested and observed on population genetics. Population genetics is the study of genetic variation and allelic frequencies on a specific group over an amount of time. It is a great way to predict future genetic information on more than just the C-Ferns. In this experiment, two different generations for gametophytes

gradually over time shift the genetic makeup of a population. The first mechanism is called mutation and this occurs when there is an alteration in the base pair sequences of DNA. The only way that this trait can affect the population is if the mutation occurs on a sex cell that is passed to offspring. The next method of evolution is genetic drift, which occurs when there is a random shift in allele frequencies that are unrelated to reproductive success. The population bottle neck effect and the

lupus) populations have declined dramatically in Europe and elsewhere during recent centuries. The natural history of European populations of grey wolf (Canis lupus) has been characterized by a dramatic decline in numbers during the past few hundred years (Boitani 2003). Small and fragmented populations have persisted, but often only in the presence of large numbers of dogs, which increase the potential for hybridization and introgression to deleteriously affect wolf populations. Genetic hybridization

Population demographic factors such as age, sex, diet and ethnicity explain the largest proportion of genetic variation between human populations (Fumagalli et al., 2011). Infectious agents including viruses, bacteria and protozoa are likely one of the strongest evolutionary drivers of the remaining genetic diversity within and between populations, as a result of the selective pressure they inflict in regions where infection is endemic. Mortality is the strongest selective pressure which is imposed

The genetic diversity of some populations in this study differed with previous studies using microsatellites markers and mitochondrial DNA. In general, a study showed lower genetic diversity in southern populations than northern populations following a genetic bottleneck (Houlden, England, Taylor, Greville, & Sherwin, 1996), however, similar pattern was not seen in this study. Northern population had uHe ranged from 0.192±0.006 to 0.247±0.006 and 60.88% to 77.71% polymorphic loci while the southern