Literature DB >> 19302465

Do landscape processes predict phylogeographic patterns in the wood frog?

Julie A Lee-Yaw1, Andrew Davidson, Brad H McRae, David M Green.   

Abstract

Understanding factors that influence population connectivity and the spatial distribution of genetic variation is a major goal in molecular ecology. Improvements in the availability of high-resolution geographic data have made it increasingly possible to quantify the effects of landscape features on dispersal and genetic structure. However, most studies examining such landscape effects have been conducted at very fine (e.g. landscape genetics) or broad (e.g. phylogeography) spatial scales. Thus, the extent to which processes operating at fine spatial scales are linked to patterns at larger scales remains unclear. Here, we test whether factors impacting wood frog dispersal at fine spatial scales are correlated with genetic structure at regional scales. Using recently developed methods borrowed from electrical circuit theory, we generated landscape resistance matrices among wood frog populations in eastern North America based on slope, a wetness index, land cover and absolute barriers to wood frog dispersal. We then determined whether these matrices are correlated with genetic structure based on six microsatellite markers and whether such correlations outperform a landscape-free model of isolation by resistance. We observed significant genetic structure at regional spatial scales. However, topography and landscape variables associated with the intervening habitat between sites provide little explanation for patterns of genetic structure. Instead, absolute dispersal barriers appear to be the best predictor of regional genetic structure in this species. Our results suggest that landscape variables that influence dispersal, microhabitat selection and population structure at fine spatial scales do not necessarily explain patterns of genetic structure at broader scales.

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Year:  2009        PMID: 19302465     DOI: 10.1111/j.1365-294X.2009.04152.x

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


  16 in total

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2.  Expert-based versus habitat-suitability models to develop resistance surfaces in landscape genetics.

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3.  Landscape influences on dispersal behaviour: a theoretical model and empirical test using the fire salamander, Salamandra infraimmaculata.

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Review 4.  Inference of population history by coupling exploratory and model-driven phylogeographic analyses.

Authors:  Ryan C Garrick; Adalgisa Caccone; Paul Sunnucks
Journal:  Int J Mol Sci       Date:  2010-03-24       Impact factor: 5.923

5.  The effect of map boundary on estimates of landscape resistance to animal movement.

Authors:  Erin L Koen; Colin J Garroway; Paul J Wilson; Jeff Bowman
Journal:  PLoS One       Date:  2010-07-26       Impact factor: 3.240

6.  Fine-scale analysis reveals cryptic landscape genetic structure in desert tortoises.

Authors:  Emily K Latch; William I Boarman; Andrew Walde; Robert C Fleischer
Journal:  PLoS One       Date:  2011-11-21       Impact factor: 3.240

7.  Comparative landscape genetics of three closely related sympatric Hesperid butterflies with diverging ecological traits.

Authors:  Jan O Engler; Niko Balkenhol; Katharina J Filz; Jan C Habel; Dennis Rödder
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

8.  Consequences of extensive habitat fragmentation in landscape-level patterns of genetic diversity and structure in the Mediterranean esparto grasshopper.

Authors:  Joaquín Ortego; María P Aguirre; Víctor Noguerales; Pedro J Cordero
Journal:  Evol Appl       Date:  2015-06-01       Impact factor: 5.183

9.  Causes and evolutionary consequences of population subdivision of an Iberian mountain lizard, Iberolacerta monticola.

Authors:  Nuria Remón; Pedro Galán; Marta Vila; Oscar Arribas; Horacio Naveira
Journal:  PLoS One       Date:  2013-06-07       Impact factor: 3.240

10.  Applying circuit theory for corridor expansion and management at regional scales: tiling, pinch points, and omnidirectional connectivity.

Authors:  David Pelletier; Melissa Clark; Mark G Anderson; Bronwyn Rayfield; Michael A Wulder; Jeffrey A Cardille
Journal:  PLoS One       Date:  2014-01-30       Impact factor: 3.240

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