Population genetic structure in a Mediterranean pine (Pinus pinaster Ait.): a comparison of allozyme markers and quantitative traits.

Details

Serval ID
serval:BIB_E305109A6014
Type
Article: article from journal or magazin.
Collection
Publications
Title
Population genetic structure in a Mediterranean pine (Pinus pinaster Ait.): a comparison of allozyme markers and quantitative traits.
Journal
Heredity
Author(s)
González-Martínez S.C., Alía R., Gil L.
ISSN
0018-067X (Print)
ISSN-L
0018-067X
Publication state
Published
Issued date
09/2002
Peer-reviewed
Oui
Volume
89
Number
3
Pages
199-206
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
F-statistics were employed to analyse quantitative and allozyme variation among 19 native populations of maritime pine (Pinus pinaster Ait.). Fourteen polymorphic allozyme loci were used to provide an empirical basis for constructing a null hypothesis to test natural selection as a determinant of quantitative evolution in stem form, total height growth and survival at 30 years old. Hidden biases, that may result in a difference between quantitative (Q(ST)) and allozyme (F(ST)) differentiation which are not because of the action of natural selection, were avoided by comparing pairs of populations using linear models. All quantitative traits showed higher differentiation than allozymes. The highest divergence was found in stem form, whereas divergences in total height and survival were significantly lower. Differential adaptation to regional and local patterns of precipitation, temperature and soil type seem to be the best explanation of the different structure found in quantitative traits and allozyme loci. Possible bias in the estimation of Q(ST) due to the level of quantitative within-population diversity and the role of adaptation of maritime pine after the last glaciation to highly diverse ecological conditions are discussed with special reference to the actual geographical structure of gene diversity in the species' native range.
Keywords
Analysis of Variance, Data Interpretation, Statistical, Enzymes/genetics, Genetic Markers, Genetics, Population, Pinus/enzymology, Pinus/genetics, Quantitative Trait, Heritable
Pubmed
Web of science
Open Access
Yes
Create date
30/09/2013 8:49
Last modification date
12/05/2023 10:29
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