Literature DB >> 11554976

Genetic similarity as a measure for connectivity between fragmented populations of the moor frog (Rana arvalis).

C C Vos1, A G Antonisse-De Jong, P W Goedhart, M J Smulders.   

Abstract

Genetic differentiation among populations of the moor frog (Rana arvalis) was tested on a spatial scale where some dispersal between populations is expected to occur, in a landscape in The Netherlands that has become fragmented fairly recently, in the 1930s. Five microsatellite loci were used, with 2-8 alleles per locus. FIS was 0.049 across loci, and most populations were in HW equilibrium. The degree of population subdivision was low (FST=0.052). A significant positive correlation between genetic distance and geographical distance was found, indicating a limitation in dispersal among populations due to distance. To test the impact of the landscape mosaic on the connectivity between patches, distance measures were corrected for relative amounts of habitat types with known positive or negative influence on moor frog dispersal. Notably, the resistance variable for the fraction of negative linear elements (roads and railways) gave a higher explanatory value than geographical distance itself. Therefore, it is particularly the number of barriers (roads and railways) between populations that emerges as a factor that reduces exchange between populations. It is concluded that genetic techniques show promise in determining the influence of landscape connectivity on animal dispersal.

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Year:  2001        PMID: 11554976     DOI: 10.1046/j.1365-2540.2001.00865.x

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  9 in total

1.  Landscape features influence gene flow as measured by cost-distance and genetic analyses: a case study for giant pandas in the Daxiangling and Xiaoxiangling Mountains.

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Journal:  BMC Genet       Date:  2010-07-23       Impact factor: 2.797

2.  Habitat fragmentation causes bottlenecks and inbreeding in the European tree frog (Hyla arborea).

Authors:  Liselotte W Andersen; Kåre Fog; Christian Damgaard
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3.  Geologic events coupled with Pleistocene climatic oscillations drove genetic variation of Omei treefrog (Rhacophorus omeimontis) in southern China.

Authors:  Jun Li; Mian Zhao; Shichao Wei; Zhenhua Luo; Hua Wu
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4.  Amphibian population genetics in agricultural landscapes: does viniculture drive the population structuring of the European common frog (Rana temporaria)?

Authors:  Patrick P Lenhardt; Carsten A Brühl; Christoph Leeb; Kathrin Theissinger
Journal:  PeerJ       Date:  2017-07-11       Impact factor: 2.984

5.  Diversification of the rainfrog Pristimantis ornatissimus in the lowlands and Andean foothills of Ecuador.

Authors:  Juan M Guayasamin; Carl R Hutter; Elicio E Tapia; Jaime Culebras; Nicolás Peñafiel; R Alexander Pyron; Carlos Morochz; W Chris Funk; Alejandro Arteaga
Journal:  PLoS One       Date:  2017-03-22       Impact factor: 3.240

6.  Small-scale population divergence is driven by local larval environment in a temperate amphibian.

Authors:  Patrik Rödin-Mörch; Hugo Palejowski; Maria Cortazar-Chinarro; Simon Kärvemo; Alex Richter-Boix; Jacob Höglund; Anssi Laurila
Journal:  Heredity (Edinb)       Date:  2020-09-21       Impact factor: 3.821

7.  Disentangling genetic vs. environmental causes of sex determination in the common frog, Rana temporaria.

Authors:  Chikako Matsuba; Ikuo Miura; Juha Merilä
Journal:  BMC Genet       Date:  2008-01-08       Impact factor: 2.797

8.  Jailed in the mountains: Genetic diversity and structure of an endemic newt species across the Pyrenees.

Authors:  Emilio Valbuena-Ureña; Neus Oromi; Anna Soler-Membrives; Salvador Carranza; Fèlix Amat; Sebastià Camarasa; Mathieu Denoël; Olivier Guillaume; Delfí Sanuy; Adeline Loyau; Dirk S Schmeller; Sebastian Steinfartz
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

9.  Regional and local patterns of genetic variation and structure in yellow-necked mice - the roles of geographic distance, population abundance, and winter severity.

Authors:  Sylwia D Czarnomska; Magdalena Niedziałkowska; Tomasz Borowik; Bogumiła Jędrzejewska
Journal:  Ecol Evol       Date:  2018-07-22       Impact factor: 2.912

  9 in total

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