DeepAI AI Chat
Log In Sign Up

Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions

by   Clotilde Lepers, et al.

Genetic data are often used to infer history, demographic changes or detect genes under selection. Inferential methods are commonly based on models making various strong assumptions: demography and population structures are supposed a priori known, the evolution of the genetic composition of a population does not affect demography nor population structure, and there is no selection nor interaction between and within genetic strains. In this paper, we present a stochastic birth death model with competitive interaction to describe an asexual population, and we develop an inferential procedure for ecological, demographic and genetical parameters. We first show how genetic diversity and genealogies are related to birth and death rates, and to how individuals compete within and between strains. This leads us to propose an original model of phylogenies, with trait structure and interactions, that allows multiple mergings. Second, we develop an Approximate Bayesian Computation framework to use our model for analyzing genetic data. We apply our procedure to simulated and real data. We show that the procedure give accurate estimate of the parameters of the model. We finally carry an illustration on real data and analyze the genetic diversity of microsatellites on Y-chromosomes sampled from Central Asia populations in order to test whether different social organizations show significantly different fertility.


page 1

page 2

page 3

page 4


Cheating for Problem Solving: A Genetic Algorithm with Social Interactions

We propose a variation of the standard genetic algorithm that incorporat...

A Bayesian model of acquisition and clearance of bacterial colonization

Bacterial populations that colonize a host play important roles in host ...

Evolutionary Demographic Algorithms

Most of the problems in genetic algorithms are very complex and demand a...

Using Genetic Algorithms to Simulate Evolution

Evolution is the theory that plants and animals today have come from kin...

The Expected Sample Allele Frequencies from Populations of Changing Size via Orthogonal Polynomials

In this article, discrete and stochastic changes in (effective) populati...

A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI Measurements

Large-scale biobanks are being collected around the world in efforts to ...

A Bayesian approach for small area population estimates using multiple administrative records

Small area population estimates are useful for decision making in the pr...