Identifying Divergent Selection in Structured Populations of Daucus carota
Determining causes of trait divergence between populations is a historically difficult task, as both selection and drift can instigate significant evolutionary change. Qst-Fst has been the most popular method for distinguishing between selection and drift but has numerous limitations making it unide...
Saved in:
| Main Author: | |
|---|---|
| Format: | Dissertation |
| Language: | English |
| Published: |
ProQuest Dissertations & Theses
01-01-2022
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Determining causes of trait divergence between populations is a historically difficult task, as both selection and drift can instigate significant evolutionary change. Qst-Fst has been the most popular method for distinguishing between selection and drift but has numerous limitations making it unideal for most experimental designs. Recently, a new method analogous to Qst-Fst has been developed called Qpc. Qpc seeks to remedy certain limitations of Qst-Fst and provide a more accessible framework for testing trait divergence. In this paper, we apply Qpc to a comparatively small set of Daucus carota populations to test its applicability and efficacy, as well as identify drivers of evolution in D. carota. We affirm Qpc’s ability to identify selection by identifying adaptively divergent traits in D. carota and provide comparisons of Qpc to previous methodology. |
|---|---|
| ISBN: | 9798209904915 |