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  4. Spatial genetic structure under limited dispersal: theory, methods and consequences of isolation-by-distance
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Spatial genetic structure under limited dispersal: theory, methods and consequences of isolation-by-distance

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Description

Isolation-by-distance is a specific type of spatial genetic structure that arises when parent-offspring dispersal is limited. Many natural populations exhibit localized dispersal, and as a result, individuals that are geographically near each other will tend to have greater genetic similarity than individuals that are further apart. It is important to identify isolation-by-distance because it can impact the statistical analysis of population samples and it can help us better understand evolutionary dynamics. For this dissertation I investigated several aspects of isolation-by-distance. First, I looked at how the shape of the dispersal distribution affects the observed pattern of isolation-by-distance. If, as theory predicts, the shape of the distribution has little effect, then it would be more practical to model isolation-by-distance using a simple dispersal distribution rather than replicating the complexities of more realistic distributions. Therefore, I developed an efficient algorithm to simulate dispersal based on a simple triangular distribution, and using a simulation, I confirmed that the pattern of isolation-by-distance was similar to other more realistic distributions. Second, I developed a Bayesian method to quantify isolation-by-distance using genetic data by estimating Wright’s neighborhood size parameter. I analyzed the performance of this method using simulated data and a microsatellite data set from two populations of Maritime pine, and I found that the neighborhood size estimates had good coverage and low error. Finally, one of the major consequences of isolation-by-distance is an increase in inbreeding. Plants are often particularly susceptible to inbreeding, and as a result, they have evolved many inbreeding avoidance mechanisms. Using a simulation, I determined which mechanisms are more successful at preventing inbreeding associated with isolation-by-distance.

Date Created
2015
Contributors
  • Furstenau, Tara N (Author)
  • Cartwright, Reed A (Thesis advisor)
  • Rosenberg, Michael S. (Committee member)
  • Taylor, Jesse (Committee member)
  • Wilson-Sayres, Melissa (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Biology
  • Genetics
  • Bayesian Inference
  • Isolation-by-Distance
  • Neighborhood Size
  • Self-Incompatibility Systems
  • Simulation
  • Spatial Population Genetics
  • Population genetics--Mathematical models.
  • Evolution (Biology)--Mathematical models.
Resource Type
Text
Genre
Doctoral Dissertation
Academic theses
Extent
ix, 124 pages : illustrations (mostly color)
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.38573
Statement of Responsibility
by Tara N. Furstenau
Description Source
Retrieved on Aug. 9, 2016
Level of coding
full
Note
Partial requirement for: Ph.D., Arizona State University, 2016
Note type
thesis
Includes bibliographical references (pages 107-113)
Note type
bibliography
Field of study: Molecular and cellular biology
System Created
  • 2016-06-01 08:43:16
System Modified
  • 2021-08-30 01:23:51
  •     
  • 1 year 9 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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