Literature DB >> 2731726

Spatial autocorrelation analysis of the distribution of genotypes within populations of lodgepole pine.

B K Epperson1, R W Allard.   

Abstract

Spatial autocorrelation analyses of point samples within two populations of lodgepole pine (Pinus contorta ssp. latifolia) indicate that single-locus mature tree and pollen genotypes are distributed in a nearly random fashion for most of the allozyme loci assayed. This lack of structure in the distributions of most genotypes is consistent with outcrossing rates that are very nearly 1.0 and with estimates indicating that both pollen and seed are dispersed over long distances in lodgepole pine. However, spatial autocorrelation of genotypes for a few loci suggests that genotypes at these loci may be under natural selection.

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Year:  1989        PMID: 2731726      PMCID: PMC1203624     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  5 in total

1.  Homozygosity and patch structure in plant populations as a result of nearest-neighbor pollination.

Authors:  M E Turner; J C Stephens; W W Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  1982-01       Impact factor: 11.205

2.  Isolation by Distance.

Authors:  S Wright
Journal:  Genetics       Date:  1943-03       Impact factor: 4.562

3.  The genetic structure of a tribal population, the Yanomama Indians. XV. Patterns inferred by autocorrelation analysis.

Authors:  R R Sokal; P E Smouse; J V Neel
Journal:  Genetics       Date:  1986-09       Impact factor: 4.562

4.  Gene flow and the geographic structure of natural populations.

Authors:  M Slatkin
Journal:  Science       Date:  1987-05-15       Impact factor: 47.728

5.  Linkage Disequilibrium between Allozymes in Natural Populations of Lodgepole Pine.

Authors:  B K Epperson; R W Allard
Journal:  Genetics       Date:  1987-02       Impact factor: 4.562

  5 in total
  11 in total

1.  Fine-scale spatial genetic structure and gene dispersal in Silene latifolia.

Authors:  M Barluenga; F Austerlitz; J A Elzinga; S Teixeira; J Goudet; G Bernasconi
Journal:  Heredity (Edinb)       Date:  2010-04-14       Impact factor: 3.821

2.  Geostatistics for spatial genetic structures: study of wild populations of perennial ryegrass.

Authors:  P Monestiez; M Goulard; G Charmet
Journal:  Theor Appl Genet       Date:  1994-04       Impact factor: 5.699

3.  Pollen pool heterogeneity in jack pine (Pinus banksiana Lamb.): a problem for estimating outcrossing rates?

Authors:  Y B Fu; P Knowles; D J Perry
Journal:  Theor Appl Genet       Date:  1992-02       Impact factor: 5.699

4.  Measurement of genetic structure within populations using Moran's spatial autocorrelation statistics.

Authors:  B K Epperson; T Li
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-17       Impact factor: 11.205

5.  Spatial autocorrelation of genotypes under directional selection.

Authors:  B K Epperson
Journal:  Genetics       Date:  1990-03       Impact factor: 4.562

6.  Spatial structure of two-locus genotypes under isolation by distance.

Authors:  B K Epperson
Journal:  Genetics       Date:  1995-05       Impact factor: 4.562

7.  A comparison of isozyme and quantitative genetic variation in Pinus contorta ssp. latifolia by FST.

Authors:  R C Yang; F C Yeh; A D Yanchuk
Journal:  Genetics       Date:  1996-03       Impact factor: 4.562

8.  Multilocus structure in Pinus contorta Dougl.

Authors:  R C Yang; F C Yeh
Journal:  Theor Appl Genet       Date:  1993-12       Impact factor: 5.699

9.  Higher fine-scale genetic structure in peripheral than in core populations of a long-lived and mixed-mating conifer--eastern white cedar (Thuja occidentalis L.).

Authors:  Madhav Pandey; Om P Rajora
Journal:  BMC Evol Biol       Date:  2012-04-05       Impact factor: 3.260

10.  Characterizing the physical and genetic structure of the lodgepole pine × jack pine hybrid zone: mosaic structure and differential introgression.

Authors:  Catherine I Cullingham; Patrick M A James; Janice E K Cooke; David W Coltman
Journal:  Evol Appl       Date:  2012-05-08       Impact factor: 5.183

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