Population divergence of genetic (co)variance matrices in a subdivided plant species, Brassica cretica
(2002) In Journal of evolutionary biology 15(6). p.961-970- Abstract
- The present study of Brassica cretica had two objectives. First, we compared estimates of population structure (Q(st)) for seven phenotypic characters with the corresponding measures for allozyme markers (F-st) to evaluate the supposition that genetic drift is a major determinant of the evolutionary history of this species. Secondly, we compared the genetic (co) variance (G) matrices of five populations to examine whether a long history of population isolation is associated with large, consistent differences in the genetic (co) variance structure. Differences between estimates of Fst and Qst were too small to be declared significant, indicating that stochastic processes have played a major role in the structuring of quantitative variation... (More)
- The present study of Brassica cretica had two objectives. First, we compared estimates of population structure (Q(st)) for seven phenotypic characters with the corresponding measures for allozyme markers (F-st) to evaluate the supposition that genetic drift is a major determinant of the evolutionary history of this species. Secondly, we compared the genetic (co) variance (G) matrices of five populations to examine whether a long history of population isolation is associated with large, consistent differences in the genetic (co) variance structure. Differences between estimates of Fst and Qst were too small to be declared significant, indicating that stochastic processes have played a major role in the structuring of quantitative variation in this species. Comparison of populations using the common principal component (CPC) method rejected the hypothesis that the G matrices differed by a simple constant of proportionality: most of the variation involved principal component structure rather than the eigenvalues. However, there was strong evidence for proportionality in comparisons using the method of percentage reduction in mean-square error (MSE), at least when characters with unusually high (co) variance estimates were included in the analyses. Although the CPC and MSE methods provide different, but complementary, views of G matrix variation, we urge caution in the use of proportionality as an indicator of whether genetic drift is responsible for divergence in the G matrix. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/147152
- author
- Widén, Björn LU ; Andersson, Stefan LU ; Rao, G Y and Widén, Marie LU
- organization
- publishing date
- 2002
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of evolutionary biology
- volume
- 15
- issue
- 6
- pages
- 961 - 970
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000178853600008
- scopus:0036842632
- ISSN
- 1420-9101
- DOI
- 10.1046/j.1420-9101.2002.00465.x
- language
- English
- LU publication?
- yes
- id
- 52e7d530-57ca-4de5-b2c7-8b5ad08f6120 (old id 147152)
- date added to LUP
- 2016-04-01 12:13:31
- date last changed
- 2022-01-27 00:38:38
@article{52e7d530-57ca-4de5-b2c7-8b5ad08f6120,
abstract = {{The present study of Brassica cretica had two objectives. First, we compared estimates of population structure (Q(st)) for seven phenotypic characters with the corresponding measures for allozyme markers (F-st) to evaluate the supposition that genetic drift is a major determinant of the evolutionary history of this species. Secondly, we compared the genetic (co) variance (G) matrices of five populations to examine whether a long history of population isolation is associated with large, consistent differences in the genetic (co) variance structure. Differences between estimates of Fst and Qst were too small to be declared significant, indicating that stochastic processes have played a major role in the structuring of quantitative variation in this species. Comparison of populations using the common principal component (CPC) method rejected the hypothesis that the G matrices differed by a simple constant of proportionality: most of the variation involved principal component structure rather than the eigenvalues. However, there was strong evidence for proportionality in comparisons using the method of percentage reduction in mean-square error (MSE), at least when characters with unusually high (co) variance estimates were included in the analyses. Although the CPC and MSE methods provide different, but complementary, views of G matrix variation, we urge caution in the use of proportionality as an indicator of whether genetic drift is responsible for divergence in the G matrix.}},
author = {{Widén, Björn and Andersson, Stefan and Rao, G Y and Widén, Marie}},
issn = {{1420-9101}},
language = {{eng}},
number = {{6}},
pages = {{961--970}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Journal of evolutionary biology}},
title = {{Population divergence of genetic (co)variance matrices in a subdivided plant species, Brassica cretica}},
url = {{http://dx.doi.org/10.1046/j.1420-9101.2002.00465.x}},
doi = {{10.1046/j.1420-9101.2002.00465.x}},
volume = {{15}},
year = {{2002}},
}