Inferring Histories of Adaptive Divergence with Gene Flow: Genetic, Demographic and Geographic Effects.

Show simple item record He, Qixin en_US 2015-05-14T16:26:05Z NO_RESTRICTION en_US 2015-05-14T16:26:05Z 2015 en_US en_US
dc.description.abstract As genomic data is increasingly available even for non-model organisms, the traditional boundaries among fields such as phylogenetics, phylogeography and genetics of adaptation are disappearing. This thesis provides a synthetic framework for studying ecological genomics, which considers selective processes (such as adaptation to new niches) and neutral processes (such as population size changes due to environmental shifts) simultaneously. Conventionally, studies that look for targets of selection on a genome assume a simple demographic model without validations from the species' ecological or phylogeographic histories. The work demonstrates that one cannot reliably identify selection unless realistic demographic histories are inferred for the species or even a specific genomic region. In particular, I investigate the evolutionary history of large polymorphic inversions in Anopheles gambiae, which maintains adaptive divergence among ecologically divergent populations. By modeling the unique origin and introgression histories of each inversion, I am able to identify target regions of selection within inversions through training discriminant functions with pure drift versus selection simulations. The thesis also extends the existing theory of local adaptation model via chromosomal inversions to consider the source of inversion variation, as well as evaluates the likelihood of such adaptations under different parameter spaces. The findings are particularly important for understanding mosaic genomic evolution in the early stages of speciation, where accumulation of divergence is dampened by gene flow. Finally, I examine how historical events, such as habitat contractions or recolonization, influence current genetic pattern and the application of spatially-explicit demographic modeling under Approximate Bayesian Computation statistics to distinguish different phylogeographic scenarios. The work represents a flexible framework for researchers to translate dynamic phylogeographic hypotheses into testable coalescent models by integrating all the available information of the species, such as distribution records, habitat preference, paleo-climate models, and competition between species. In general, with the amount of information as well as inherent heterogeneity of genomic data, this thesis contributes to the ongoing paradigm shift from studying separate evolutionary processes towards a holistic analysis of the interactions of selective and neutral processes under a rigorous statistical framework. en_US
dc.language.iso en_US en_US
dc.subject ecological genomics en_US
dc.subject coalescent en_US
dc.subject Anopheles gambiae en_US
dc.subject inversion en_US
dc.subject spatially-explicit phylogeography en_US
dc.subject divergence with gene flow en_US
dc.title Inferring Histories of Adaptive Divergence with Gene Flow: Genetic, Demographic and Geographic Effects. en_US
dc.type Thesis en_US
dc.description.thesisdegreename PHD en_US
dc.description.thesisdegreediscipline Ecology and Evolutionary Biology en_US
dc.description.thesisdegreegrantor University of Michigan, Horace H. Rackham School of Graduate Studies en_US
dc.contributor.committeemember Knowles, L. Lacey en_US
dc.contributor.committeemember Wilson, Mark L. en_US
dc.contributor.committeemember James, Timothy Y. en_US
dc.contributor.committeemember Pascual, Mercedes en_US
dc.subject.hlbsecondlevel Ecology and Evolutionary Biology en_US
dc.subject.hlbtoplevel Science en_US
dc.owningcollname Dissertations and Theses (Ph.D. and Master's)
 Show simple item record

This item appears in the following Collection(s)

Search Deep Blue

Advanced Search

Browse by

My Account


Available Now

MLibrary logo