Literature DB >> 24995799

The gravity of pollination: integrating at-site features into spatial analysis of contemporary pollen movement.

Michelle F DiLeo1, Jenna C Siu, Matthew K Rhodes, Adriana López-Villalobos, Angela Redwine, Kelly Ksiazek, Rodney J Dyer.   

Abstract

Pollen-mediated gene flow is a major driver of spatial genetic structure in plant populations. Both individual plant characteristics and site-specific features of the landscape can modify the perceived attractiveness of plants to their pollinators and thus play an important role in shaping spatial genetic variation. Most studies of landscape-level genetic connectivity in plants have focused on the effects of interindividual distance using spatial and increasingly ecological separation, yet have not incorporated individual plant characteristics or other at-site ecological variables. Using spatially explicit simulations, we first tested the extent to which the inclusion of at-site variables influencing local pollination success improved the statistical characterization of genetic connectivity based upon examination of pollen pool genetic structure. The addition of at-site characteristics provided better models than those that only considered interindividual spatial distance (e.g. IBD). Models parameterized using conditional genetic covariance (e.g. population graphs) also outperformed those assuming panmixia. In a natural population of Cornus florida L. (Cornaceae), we showed that the addition of at-site characteristics (clumping of primary canopy opening above each maternal tree and maternal tree floral output) provided significantly better models describing gene flow than models including only between-site spatial (IBD) and ecological (isolation by resistance) variables. Overall, our results show that including interindividual and local ecological variation greatly aids in characterizing landscape-level measures of contemporary gene flow.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  Cornus florida; gene flow; gravity models; landscape genetics; population graphs

Mesh:

Year:  2014        PMID: 24995799     DOI: 10.1111/mec.12839

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  4 in total

1.  Landscape genetics of a sub-alpine toad: climate change predicted to induce upward range shifts via asymmetrical migration corridors.

Authors:  Paul A Maier; Amy G Vandergast; Steven M Ostoja; Andres Aguilar; Andrew J Bohonak
Journal:  Heredity (Edinb)       Date:  2022-09-08       Impact factor: 3.832

2.  Space, time and complexity in plant dispersal ecology.

Authors:  Juan J Robledo-Arnuncio; Etienne K Klein; Helene C Muller-Landau; Luis Santamaría
Journal:  Mov Ecol       Date:  2014-08-01       Impact factor: 3.600

3.  Inter-annual maintenance of the fine-scale genetic structure in a biennial plant.

Authors:  Javier Valverde; José María Gómez; Cristina García; Timothy F Sharbel; María Noelia Jiménez; Francisco Perfectti
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

4.  Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina).

Authors:  Mark P Miller; Raymond J Davis; Eric D Forsman; Thomas D Mullins; Susan M Haig
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

  4 in total

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