Dr. Xijiang Yu Shandong Agricultural University

Slides:



Advertisements
Similar presentations
The Coalescent Theory And coalescent- based population genetics programs.
Advertisements

Lab 3 : Exact tests and Measuring of Genetic Variation.
Lab 3 : Exact tests and Measuring Genetic Variation.
MIGRATION  Movement of individuals from one subpopulation to another followed by random mating.  Movement of gametes from one subpopulation to another.
Lecture 9: Introduction to Genetic Drift February 14, 2014.
What causes geographic populations to become differentiated? Natural Selection? Genetic Drift? (limited gene flow)
Modeling Populations forces that act on allelic frequencies.
Hardy-Weinberg equilibrium if p = frequency of allele A q = frequency of allele a p + q = 1, ( p + q ) 2 = 1 p 2 + 2pq + q 2 = 1 if only law of probability.
 Establishes a benchmark from a non- evolving population in which to measure an evolving population.  Investigates the properties of populations that.
Study of Microevolution
Population Genetics I. Evolution: process of change in allele
Sickle Cell Anemia.
Population Genetics A.The Hardy-Weinberg principle B.Factors that can change allele frequencies.
2: Population genetics break.
Population Genetics What is population genetics?
Modeling evolutionary genetics Jason Wolf Department of ecology and evolutionary biology University of Tennessee.
Animal Breeding and Genetics
Microevolution  Look at processes by which inherited traits change over time  Changes in numbers & types of alleles  Measured in terms of frequency.
MIGRATION  Movement of individuals from one subpopulation to another followed by random mating.  Movement of gametes from one subpopulation to another.
14 Population Genetics and Evolution. Population Genetics Population genetics involves the application of genetic principles to entire populations of.
Course outline HWE: What happens when Hardy- Weinberg assumptions are met Inheritance: Multiple alleles in a population; Transmission of alleles in a family.
Deviations from HWE I. Mutation II. Migration III. Non-Random Mating IV. Genetic Drift A. Sampling Error.
Mechanisms of Evolution 16.1 Causes of microevolution.
1) Gene flow A) is movement of alleles from one population to another B) counts as true gene flow only if immigrant individuals breed within their new.
Chapter 15 – Analysis of Variance Math 22 Introductory Statistics.
1 Population Genetics Definitions of Important Terms Population: group of individuals of one species, living in a prescribed geographical area Subpopulation:
Population Genetics The Study of how Populations change over time.
Chapter 23: Evaluation of the Strength of Forensic DNA Profiling Results.
Evolution of populations Ch 21. I. Background  Individuals do not adapt or evolve  Populations adapt and evolve  Microevolution = change in allele.
Essential Question: How can a change in the environment initiate a change in the population? NATURAL SELECTION.
Please feel free to chat amongst yourselves until we begin at the top of the hour.
Measuring genetic variability Studies have shown that most natural populations have some amount of genetic diversity at most loci locus = physical site.
Lecture 6 Genetic drift & Mutation Sonja Kujala
Topics How to track evolution – allele frequencies
15.2 PDQ.
MULTIPLE GENES AND QUANTITATIVE TRAITS
MIGRATION Movement of individuals from one subpopulation to another followed by random mating. Movement of gametes from one subpopulation to another followed.
Populations, Gene Pools, & Microevolution
Population Genetics.
Evolution of populations
Hardy-Weinberg Theorem
Deviations from HWE I. Mutation II. Migration III. Non-Random Mating
Measuring Evolution of Populations
Measuring Evolution of Populations
What Is Genetic Drift? Genetic drift definition: A random change in the frequency of alleles in a gene pool, usually due to small population size.
Genetic Drift: Chance Change A common misconception about evolution is that the features of organisms have evolved due to random chance alone Random cause.
Evolutionary Change in Populations
Population Genetics Microevolution, Natural Selection & The Hardy Weinberg Equation Packet #27 Chapter #11 11/20/2018 8:15 PM.
MULTIPLE GENES AND QUANTITATIVE TRAITS
Daily Warm-up February 3rd
Basic concepts on population genetics
Population Genetics.
Population Genetics Microevolution, Natural Selection & The Hardy Weinberg Equation Packet #14 Chapter #11 12/5/2018 2:34 AM.
I. Population Evolution
Chapter 18: Evolutionary Change in Populations
Lecture 4: Testing for Departures from Hardy-Weinberg Equilibrium
MIGRATION Movement of individuals from one subpopulation to another followed by random mating. Movement of gametes from one subpopulation to another followed.
Mechanisms of Evolution
Population genetics and Hardy-Weinberg
The coalescent with recombination (Chapter 5, Part 1)
GENETIC EQUILIBRIUM II
Modern Evolutionary Biology I. Population Genetics
Vocabulary A species is a group of individuals with the potential to interbreed to produce fertile offspring. A population is a localized group of individuals.
THE EVOLUTION OF POPULATIONS
Agenda 10/3 Hardy-Weinberg Introduction
Hardy – Weinberg Theorem
Modern Evolutionary Biology I. Population Genetics
Mechanisms of evolution
Hardy-Weinberg Lab Data
MECHANISMS FOR EVOLUTION
Presentation transcript:

Dr. Xijiang Yu Shandong Agricultural University The Possibility of QTL Detection with Allele Frequency Fluctuation in a Single Selective Line Dr. Xijiang Yu Shandong Agricultural University

Background Agencies that affect gene frequency Selection Mutation Migration Random drift

Background In a selective line Selection Mutation Migration Random drift

The problem Can we distinguish the signal From the noises Directional frequency change due to selection From the noises Fluctuation due to random drift ?

Theories Wright-Fisher model The diffusion approximation Markov chain with transition probability matrix The diffusion approximation

Calculation of null distribution

A sample Markov process Real matrix can be constructed using the relationship between binomial CDF and incomplete beta function instantly [which has minor bias]. And one matrix for all if Ne keeps constant.

Assumptions of model of random genetic drift Diploid organism Sexual reproduction Non-overlapping generations Many independent subpopulations, each of constant size N Random mating within each subpopulation No migration between subpopulations No mutation No selection

About Ne The calculation only involves those reproduce. Hence selection ratio is accounted for.

Approximate simulation Kimura, 1980

Scenario parameters Effective population size, Ne To determine the null distribution Heritability @ the locus Power issues. Initial allele frequency Still involved with power Number of loci considered Multiple tests

Objectives Feasible marginal parameters for candidate loci and selection association Power @ these scenarios

Case study I In a selective population with constant Ne = 100, random mating is applied to the breeding individuals. An allele with frequency of 0.5 changed to 0.9 after nine generation of selection. Is this allele affected by the selection?

Answer The 99% confidential intervals under the null hypothesis is: (0.234, 0.770) 0.9 is beyond this scope.

Case study II A diallelic locus with initial h2 = 0.1, what is the power of detecting it? Ne = 100, Selection rate = 0.5 No. of generations = 10, Pure additive model. Random mating of breeding individuals

Answer The 95% & 99% confidential intervals under the null hypothesis are: [] [.234, .770] The probability of one allele frequency exceed [threshold] is ?? [the power] .919 [100k permutations] .659 when h2 = 0.05

A general package General assumptions of previous theories: Random mating among breeding animals. The brute-force method

Brute-force method Using gene-dropping To account for violations of assumptions mentioned previously. Non-random mating Generation overlapping Multiple co-segregating loci Inbreeding …

Acknowledgement Funded by NSFC, 863, & my university Your enlightening questions