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Title: Adaptation in changing environments
Authors: Jain, Kavita
Devi, Archana
Keywords: Population genetics
Issue Date: 2021
Publisher: Jawaharlal Nehru Centre for Advanced Scientific Research
Citation: Devi, Archana. 2021,Adaptation in changing environments, Ph.D thesis, Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru
Abstract: Adaptation is a ubiquitous phenomenon that enables a population to survive in its environment. As natural environments change with time, it is crucial to understand the dynamics of adaptation in varying environments. When the time scales of the environmental and evolutionary changes are very different, the fluctuations in the environment can be neglected for the evolutionary process. However, these time scales can overlap, and then the effect of the time-varying environment plays a major role in determining the evolutionary fate of the population. This is a less studied problem due to its complexity, but its importance and intriguing features motivated us to understand the effect of changing environments on the adaptation of a population. Evolution occurs via evolutionary forces, namely, natural selection, mutation, recombination, and random genetic drift. To understand the evolutionary process, we use the theoretical population genetics approach to incorporate these forces in a mathematical model. This thesis considers the adaptation of a single trait with free recombination and neglects the pleiotropic effects due to other traits. A trait is said to be monogenic when a single gene controls it, such as sickle cell anemia and albinism, and polygenic, when many genes influence the trait, for example, quantitative traits such as human height and weight. We study the adaptation of both the monogenic and polygenic traits in different environmental conditions that are modeled as a sudden-change in the environment and linearly-changing and periodically-varying selection. The primary focus of the thesis is to understand the effect of changing environments on the survivability of a population.
Description: Restricted access (upto date 31-04-2022)
Appears in Collections:Student Theses (TSU)

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