Literature DB >> 15315694

Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach.

A Coulon1, J F Cosson, J M Angibault, B Cargnelutti, M Galan, N Morellet, E Petit, S Aulagnier, A J M Hewison.   

Abstract

Changes in agricultural practices and forest fragmentation can have a dramatic effect on landscape connectivity and the dispersal of animals, potentially reducing gene flow within populations. In this study, we assessed the influence of woodland connectivity on gene flow in a traditionally forest-dwelling species--the European roe deer--in a fragmented landscape. From a sample of 648 roe deer spatially referenced within a study area of 55 x 40 km, interindividual genetic distances were calculated from genotypes at 12 polymorphic microsatellite loci. We calculated two geographical distances between each pair of individuals: the Euclidean distance (straight line) and the 'least cost distance' (the trajectory that maximizes the use of wooded corridors). We tested the correlation between genetic pairwise distances and the two types of geographical pairwise distance using Mantel tests. The correlation was better using the least cost distance, which takes into account the distribution of wooded patches, especially for females (the correlation was stronger but not significant for males). These results suggest that in a fragmented woodland area roe deer dispersal is strongly linked to wooded structures and hence that gene flow within the roe deer population is influenced by the connectivity of the landscape.

Mesh:

Year:  2004        PMID: 15315694     DOI: 10.1111/j.1365-294X.2004.02253.x

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


  38 in total

1.  Circuit theory predicts gene flow in plant and animal populations.

Authors:  Brad H McRae; Paul Beier
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-03       Impact factor: 11.205

2.  Dispersal is not female biased in a resource-defence mating ungulate, the European roe deer.

Authors:  A Coulon; J-F Cosson; N Morellet; J-M Angibault; B Cargnelutti; M Galan; S Aulagnier; A J M Hewison
Journal:  Proc Biol Sci       Date:  2006-02-07       Impact factor: 5.349

3.  Reduced microsatellite heterozygosity does not affect natal dispersal in three contrasting roe deer populations.

Authors:  Cécile Vanpé; Lucie Debeffe; A J Mark Hewison; Erwan Quéméré; Jean-François Lemaître; Maxime Galan; Britany Amblard; François Klein; Bruno Cargnelutti; Gilles Capron; Joël Merlet; Claude Warnant; Jean-Michel Gaillard
Journal:  Oecologia       Date:  2014-11-12       Impact factor: 3.225

4.  Transcriptome characterization and generation of marker resource for Himalayan vulnerable species, Ulmus wallichiana.

Authors:  Amandeep Singh; Aasim Majeed; Pankaj Bhardwaj
Journal:  Mol Biol Rep       Date:  2021-01-13       Impact factor: 2.316

5.  Isolating the roles of movement and reproduction on effective connectivity alters conservation priorities for an endangered bird.

Authors:  Ellen P Robertson; Robert J Fletcher; Christopher E Cattau; Bradley J Udell; Brian E Reichert; James D Austin; Denis Valle
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-06       Impact factor: 11.205

6.  A one night stand? Reproductive excursions of female roe deer as a breeding dispersal tactic.

Authors:  Lucie Debeffe; Stefano Focardi; Christophe Bonenfant; A J Mark Hewison; Nicolas Morellet; Cécile Vanpé; Marco Heurich; Petter Kjellander; John D C Linnell; Atle Mysterud; Maryline Pellerin; Pavel Sustr; Ferdinando Urbano; Francesca Cagnacci
Journal:  Oecologia       Date:  2014-07-17       Impact factor: 3.225

7.  Population structure and landscape genetics of two endangered frog species of genus Odorrana: different scenarios on two islands.

Authors:  T Igawa; S Oumi; S Katsuren; M Sumida
Journal:  Heredity (Edinb)       Date:  2012-09-19       Impact factor: 3.821

8.  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.

Authors:  Lifeng Zhu; Xiangjiang Zhan; Tao Meng; Shanning Zhang; Fuwen Wei
Journal:  BMC Genet       Date:  2010-07-23       Impact factor: 2.797

9.  Interactions between environmental factors can hide isolation by distance patterns: a case study of Ctenomys rionegrensis in Uruguay.

Authors:  Marcelo J Kittlein; Oscar E Gaggiotti
Journal:  Proc Biol Sci       Date:  2008-11-22       Impact factor: 5.349

10.  Prion sequence polymorphisms and chronic wasting disease resistance in Illinois white-tailed deer (Odocoileus virginianus).

Authors:  Amy C Kelly; Nohra E Mateus-Pinilla; Jay Diffendorfer; Emily Jewell; Marilyn O Ruiz; John Killefer; Paul Shelton; Tom Beissel; Jan Novakofski
Journal:  Prion       Date:  2008-01-20       Impact factor: 3.931

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