Literature DB >> 21636468

Increased selfing and decreased effective pollen donor number in peripheral relative to central populations in Picea sitchensis (Pinaceae).

Makiko Mimura1, Sally N Aitken.   

Abstract

Because mating system can be influenced by effective neighborhood size, density, and isolation, populations at range peripheries may differ from those in the center. The importance of peripheral populations to conservation and evolution is controversial, and additional information about their genetic structure and evolutionary dynamics will inform conservation strategies. In wind-pollinated species, selfing rate is generally negatively correlated with population size and density, and inbreeding may therefore increase toward range peripheries. Picea sitchensis has a long and narrow range along the Pacific Coast of North America that tapers toward the northern and southern peripheries. We investigated whether central and peripheral populations differ in mating system parameters. The results suggest that population position within the range has a strong effect on mating system, and geographic isolation appears to be associated with higher selfing. The estimated effective number of pollen donors was much higher in the center of the range (mean = 18.5) than at the periphery (mean = 3.6), while selfing rate increased from 7.3% in central populations to as high as 35.2% in the northern, isolated population. These strong geographical patterns suggest mating system is influenced by both population size and isolation at range peripheries.

Entities:  

Year:  2007        PMID: 21636468     DOI: 10.3732/ajb.94.6.991

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  19 in total

1.  Variability of individual genetic load: consequences for the detection of inbreeding depression.

Authors:  Gwendal Restoux; Priscille Huot de Longchamp; Bruno Fady; Etienne K Klein
Journal:  Genetica       Date:  2012-05-26       Impact factor: 1.082

2.  Maternal heterozygosity and progeny fitness association in an inbred Scots pine population.

Authors:  S Abrahamsson; J Ahlinder; P Waldmann; M R García-Gil
Journal:  Genetica       Date:  2013-02-12       Impact factor: 1.082

3.  Evolutionary responses of tree phenology to the combined effects of assortative mating, gene flow and divergent selection.

Authors:  J-P Soularue; A Kremer
Journal:  Heredity (Edinb)       Date:  2014-06-11       Impact factor: 3.821

4.  Maintenance of mixed mating after the loss of self-incompatibility in a long-lived perennial herb.

Authors:  Marie Voillemot; John R Pannell
Journal:  Ann Bot       Date:  2016-12-10       Impact factor: 4.357

5.  Divergent selection and heterogeneous migration rates across the range of Sitka spruce (Picea sitchensis).

Authors:  Jason A Holliday; Haktan Suren; Sally N Aitken
Journal:  Proc Biol Sci       Date:  2011-11-23       Impact factor: 5.349

6.  Reproductive biology of the threatened Lilium pomponium (Liliaceae), a species endemic to Maritime and Ligurian Alps.

Authors:  Gabriele Casazza; Angelino Carta; Paolo Giordani; Maria Guerrina; Lorenzo Peruzzi; Luigi Minuto
Journal:  J Plant Res       Date:  2018-03-02       Impact factor: 2.629

7.  Reduced fine-scale spatial genetic structure in grazed populations of Dianthus carthusianorum.

Authors:  Y Rico; H H Wagner
Journal:  Heredity (Edinb)       Date:  2016-07-06       Impact factor: 3.821

8.  Morphotype divergence and genetic diversity of Hedeoma piperita Benth. in western Mexico.

Authors:  María Luisa Herrera-Arroyo; Yessica Rico; Brenda Y Bedolla-García
Journal:  Mol Biol Rep       Date:  2020-10-30       Impact factor: 2.316

9.  Seeing the forest through the trees: comprehensive inference on individual mating patterns in a mixed stand of Quercus robur and Q. petraea.

Authors:  Igor J Chybicki; Jaroslaw Burczyk
Journal:  Ann Bot       Date:  2013-06-19       Impact factor: 4.357

10.  A simple method for estimating genetic diversity in large populations from finite sample sizes.

Authors:  Stanislav Bashalkhanov; Madhav Pandey; Om P Rajora
Journal:  BMC Genet       Date:  2009-12-16       Impact factor: 2.797

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