Population genetics

Population genetics is a subfield of genetics that deals with genetic differences within and among populations, and is a part of evolutionary biology. Studies in this branch of biology examine such phenomena as adaptation, speciation, and population structure. Population genetics was a vital ingredient in the emergence of the modern evolutionary synthesis. Its primary founders were Sewall Wright, J. B. S. Haldane and Ronald Fisher, who also laid the foundations for the related discipline of quantitative genetics. Traditionally a highly mathematical discipline, modern population genetics encompasses theoretical, laboratory, and field work. Population genetic models are used both for statistical inference from DNA sequence data and for proof/disproof of concept. What sets population genetics apart from newer, more phenotypic approaches to modelling evolution, such as evolutionary game theory and adaptive dynamics, is its emphasis on such genetic phenomena as dominance, epistasis, the d

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Approximate maximum likelihood estimation for population genetic inference

Gregory Bruce Ewing

In many population genetic problems, parameter estimation is obstructed by an intractable likelihood function. Therefore, approximate estimation methods have been developed, and with growing computational power, sampling-based methods became popular. However, these methods such as Approximate Bayesian Computation (ABC) can be inefficient in high-dimensional problems. This led to the development of more sophisticated iterative estimation methods like particle filters. Here, we propose an alternative approach that is based on stochastic approximation. By moving along a simulated gradient or ascent direction, the algorithm produces a sequence of estimates that eventually converges to the maximum likelihood estimate, given a set of observed summary statistics. This strategy does not sample much from low-likelihood regions of the parameter space, and is fast, even when many summary statistics are involved. We put considerable efforts into providing tuning guidelines that improve the robustness and lead to good performance on problems with high-dimensional summary statistics and a low signal-to-noise ratio. We then investigate the performance of our resulting approach and study its properties in simulations. Finally, we re-estimate parameters describing the demographic history of Bornean and Sumatran orang-utans.

De Gruyter2017

Inferring the age and strength of mutations evolving under positive selection

Nicky Louise Ormond

A fundamental goal of population genetics is to determine and quantify the interplay of mutation, natural selection, genetic drift and migration in shaping allelic frequency changes that underpin evolution-ary change. In this dissertation, I present computational, empirical and experimental approaches to address this goal. In the first chapter, I develop an approximate Bayesian computation (ABC) approach that co-estimates the selection strength and age of fixed beneficial mutations in single populations, by integrating a range of existing diversity, site frequency spectrum, haplotype and linkage disequilibrium based summary statistics. This approach is then extended to models of selection on standing variation in order to co-infer the frequency at which positive selection began to act upon the mutation. In the second chapter, I apply this method to an empirical study of convergent adaptation of blanched dorsal phenotypes in two lizard species to the newly formed White Sands system of New Mexico. Estimates of the age of the beneficial mutations underpinning the evolution of cryptic coloration are younger than the related geological shift and support a model of adaptation from de novo mutation. In the third chapter, I analyze the experimental evolution of H1N1 influenza virus populations under a combined protocol of two drugs with different modes of action: oseltamivir and favipiravir. Results indicate a complex interplay of mutation, selection and genetic drift, where selective sweeps around oseltamivir resistance mutations hitchhike deleterious mutations owing to the mutagenic effect of favipiravir to fixation. This effect reduces viral fitness and ac-celerates extinction via Mullerâs ratchet, but at the risk of spreading both established and newly emerging oseltamivir resistance mutations.

EPFL2017

Antiviral drug resistance as an adaptive process

Kristen Kay Irwin, Jeffrey David Jensen

Antiviral drug resistance is a matter of great clinical importance that, historically, has been investigated mostly from a virological perspective. Although the proximate mechanisms of resistance can be readily uncovered using these methods, larger evolutionary trends often remain elusive. Recent interest by population geneticists in studies of antiviral resistance has spurred new metrics for evaluating mutation and recombination rates, demographic histories of transmission and compartmentalization, and selective forces incurred during viral adaptation to antiviral drug treatment. We present up-to-date summaries on antiviral resistance for a range of drugs and viral types, and review recent advances for studying their evolutionary histories. We conclude that information imparted by demographic and selective histories, as revealed through population genomic inference, is integral to assessing the evolution of antiviral resistance as it pertains to human health.

Oxford University Press2016

Evolution

In biology, evolution is the change in heritable characteristics of biological populations over successive generations. Evolution occurs when evolutionary processes such as natural selection (includi

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Genetics is the study of genes, genetic variation, and heredity in organisms. It is an important branch in biology because heredity is vital to organisms' evolution. Gregor Mendel, a Moravian Augustin

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Genetic drift, also known as random genetic drift, allelic drift or the Wright effect, is the change in the frequency of an existing gene variant (allele) in a population due to random chance. Geneti

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