Literature DB >> 25773398

Spatial heterogeneity in landscape structure influences dispersal and genetic structure: empirical evidence from a grasshopper in an agricultural landscape.

Bertrand Gauffre1, Sophie Mallez, Marie-Pierre Chapuis, Raphael Leblois, Isabelle Litrico, Sabrina Delaunay, Isabelle Badenhausser.   

Abstract

Dispersal may be strongly influenced by landscape and habitat characteristics that could either enhance or restrict movements of organisms. Therefore, spatial heterogeneity in landscape structure could influence gene flow and the spatial structure of populations. In the past decades, agricultural intensification has led to the reduction in grassland surfaces, their fragmentation and intensification. As these changes are not homogeneously distributed in landscapes, they have resulted in spatial heterogeneity with generally less intensified hedged farmland areas remaining alongside streams and rivers. In this study, we assessed spatial pattern of abundance and population genetic structure of a flightless grasshopper species, Pezotettix giornae, based on the surveys of 363 grasslands in a 430-km² agricultural landscape of western France. Data were analysed using geostatistics and landscape genetics based on microsatellites markers and computer simulations. Results suggested that small-scale intense dispersal allows this species to survive in intensive agricultural landscapes. A complex spatial genetic structure related to landscape and habitat characteristics was also detected. Two P. giornae genetic clusters bisected by a linear hedged farmland were inferred from clustering analyses. This linear hedged farmland was characterized by high hedgerow and grassland density as well as higher grassland temporal stability that were suspected to slow down dispersal. Computer simulations demonstrated that a linear-shaped landscape feature limiting dispersal could be detected as a barrier to gene flow and generate the observed genetic pattern. This study illustrates the relevance of using computer simulations to test hypotheses in landscape genetics studies.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Pezotettix giornae; clustering methods; computer simulations; dispersal; landscape genetics; microsatellites

Mesh:

Year:  2015        PMID: 25773398     DOI: 10.1111/mec.13152

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


  6 in total

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Authors:  Sarah Schmid; Samuel Neuenschwander; Camille Pitteloud; Gerald Heckel; Mila Pajkovic; Raphaël Arlettaz; Nadir Alvarez
Journal:  Ecol Evol       Date:  2017-12-29       Impact factor: 2.912

2.  Temporal variation in spatial genetic structure during population outbreaks: Distinguishing among different potential drivers of spatial synchrony.

Authors:  Jeremy Larroque; Simon Legault; Rob Johns; Lisa Lumley; Michel Cusson; Sébastien Renaut; Roger C Levesque; Patrick M A James
Journal:  Evol Appl       Date:  2019-08-24       Impact factor: 5.183

3.  A Bocage Landscape Restricts the Gene Flow of Pest Vole Populations.

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Journal:  Life (Basel)       Date:  2022-05-27

4.  Hierarchical genetic structure shaped by topography in a narrow-endemic montane grasshopper.

Authors:  Víctor Noguerales; Pedro J Cordero; Joaquín Ortego
Journal:  BMC Evol Biol       Date:  2016-05-05       Impact factor: 3.260

5.  Wide dispersion of B chromosomes in Rhammatocerus brasiliensis (Orthoptera, Acrididae).

Authors:  Adriana S Melo; Geyner A S Cruz; Aline P Félix; Marília F Rocha; Vilma Loreto; Rita C Moura
Journal:  Genet Mol Biol       Date:  2020-06-10       Impact factor: 1.771

6.  Multi-scale spatial genetic structure of the vector-borne pathogen 'Candidatus Phytoplasma prunorum' in orchards and in wild habitats.

Authors:  Véronique Marie-Jeanne; Nicolas Sauvion; François Bonnot; Gaël Thébaud; Jean Peccoud; Gérard Labonne
Journal:  Sci Rep       Date:  2020-03-19       Impact factor: 4.379

  6 in total

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