Literature DB >> 17170074

Genetic effect of transportation infrastructure on roe deer populations (Capreolus capreolus).

Ralph Kuehn1, Karin E Hindenlang, Otto Holzgang, Josef Senn, Bernhard Stoeckle, Christoph Sperisen.   

Abstract

Anthropogenic transportation infrastructure is a major factor of habitat fragmentation leading to genetic population fragmentation in wildlife. Assessing and understanding the impact of this deterministic factor on genetic diversity and divergence of populations is crucial to appraise the viability of wildlife populations in fragmented landscapes. In this study, the roe deer is used as an example species for the assessment of genetic differentiation of populations separated by an anthropogenic barrier. In order to detect genetic discontinuities, we screened 12 polymorphic microsatellites on 222 individuals out of 11 roe deer populations that were sampled on the east and the westside of a fenced motorway in Central Switzerland. The interaction between landscape structure and microevolutionary processes such as gene flow and drift were assessed and evaluated by different population genetic methods like F-statistics, Mantel test, spatial autocorrelation analyses, Monmonier algorithm, and principal component analysis in conjunction with geographic information system data (synthesis map). We revealed an influence of the transportation infrastructure on genetic divergence of the roe deer population examined, but no impact on genetic diversity was detected. Based on the achieved genetic findings, recommendations for management implementation were made.

Entities:  

Mesh:

Year:  2006        PMID: 17170074     DOI: 10.1093/jhered/esl056

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  8 in total

1.  A new large-scale index (AcED) for assessing traffic noise disturbance on wildlife: stress response in a roe deer (Capreolus capreolus) population.

Authors:  Carlos Iglesias-Merchan; Fernando Horcajada-Sánchez; Luis Diaz-Balteiro; Gema Escribano-Ávila; Carlos Lara-Romero; Emilio Virgós; Aimara Planillo; Isabel Barja
Journal:  Environ Monit Assess       Date:  2018-03-02       Impact factor: 2.513

2.  Genetic connectivity for two bear species at wildlife crossing structures in Banff National Park.

Authors:  Michael A Sawaya; Steven T Kalinowski; Anthony P Clevenger
Journal:  Proc Biol Sci       Date:  2014-02-19       Impact factor: 5.349

3.  Effect of anthropogenic landscape features on population genetic differentiation of Przewalski's gazelle: main role of human settlement.

Authors:  Ji Yang; Zhigang Jiang; Yan Zeng; Mardan Turghan; Hongxia Fang; Chunwang Li
Journal:  PLoS One       Date:  2011-05-20       Impact factor: 3.240

4.  Comparison of Bayesian clustering and edge detection methods for inferring boundaries in landscape genetics.

Authors:  Toni Safner; Mark P Miller; Brad H McRae; Marie-Josée Fortin; Stéphanie Manel
Journal:  Int J Mol Sci       Date:  2011-01-25       Impact factor: 5.923

5.  Climate connectivity of the bobcat in the Great Lakes region.

Authors:  Robby R Marrotte; Jeff Bowman; Paul J Wilson
Journal:  Ecol Evol       Date:  2020-01-28       Impact factor: 2.912

6.  Phylogeography and population genetic structure of the European roe deer in Switzerland following recent recolonization.

Authors:  Nina Vasiljevic; Nadja V Morf; Josef Senn; Sílvia Pérez-Espona; Federica Mattucci; Nadia Mucci; Gaia Moore-Jones; Simone Roberto Rolando Pisano; Adelgunde Kratzer; Rob Ogden
Journal:  Ecol Evol       Date:  2022-02-19       Impact factor: 2.912

Review 7.  Host Genetic Diversity and Infectious Diseases. Focus on Wild Boar, Red Deer and Tuberculosis.

Authors:  Javier Pérez-González; Juan Carranza; Remigio Martínez; José Manuel Benítez-Medina
Journal:  Animals (Basel)       Date:  2021-05-31       Impact factor: 2.752

Review 8.  Preserving ecosystem services in urban regions: challenges for planning and best practice examples from Switzerland.

Authors:  Silvia Tobias
Journal:  Integr Environ Assess Manag       Date:  2013-04       Impact factor: 2.992

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.