Literature DB >> 28905157

Landscape genetics in the subterranean rodent Ctenomys "chasiquensis" associated with highly disturbed habitats from the southeastern Pampas region, Argentina.

Matías Sebastián Mora1, Fernando J Mapelli2, Aldana López3, María Jimena Gómez Fernández4, Patricia M Mirol4, Marcelo J Kittlein2.   

Abstract

Studies of genetic differentiation in fragmented environments help us to identify those landscape features that most affect gene flow and dispersal patterns. Particularly, the assessment of the relative significance of intrinsic biological and environmental factors affecting the genetic structure of populations becomes crucial. In this work, we assess the current dispersal patterns and population structure of Ctenomys "chasiquensis", a vulnerable and endemic subterranean rodent distributed on a small area in Central Argentina, using 9 polymorphic microsatellite loci. We use landscape genetics approaches to assess the relationship between genetic connectivity among populations and environmental attributes. Our analyses show that populations of C. "chasiquensis" are moderately to highly structured at a regional level. This pattern is most likely the outcome of substantial gene flow on the more homogeneous sand dune habitat of the Northwest of its distributional range, in conjunction with an important degree of isolation of eastern and southwestern populations, where the optimal habitat is surrounded by a highly fragmented landscape. Landscape genetics analysis suggests that habitat quality and longitude were the environmental factors most strongly associated with genetic differentiation/uniqueness of populations. In conclusion, our results indicate an important genetic structure in this species, even at a small spatial scale, suggesting that contemporary habitat fragmentation increases population differentiation.

Entities:  

Keywords:  Ctenomys “chasiquensis”; Dispersal patterns; Landscape genetics; Population genetics; Subterranean rodents

Mesh:

Year:  2017        PMID: 28905157     DOI: 10.1007/s10709-017-9983-9

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  33 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  adegenet: a R package for the multivariate analysis of genetic markers.

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3.  A simple salting out procedure for extracting DNA from human nucleated cells.

Authors:  S A Miller; D D Dykes; H F Polesky
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4.  A measure of population subdivision based on microsatellite allele frequencies.

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5.  Molecular analysis of populations of Ctenomys (Caviomorpha, Rodentia) with high karyotypic variability.

Authors:  M D Giménez; P M Mirol; C J Bidau; J B Searle
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6.  The detection of disease clustering and a generalized regression approach.

Authors:  N Mantel
Journal:  Cancer Res       Date:  1967-02       Impact factor: 12.701

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Authors:  Gabriela Wlasiuk; John Carlos Garza; Enrique P Lessa
Journal:  Evolution       Date:  2003-04       Impact factor: 3.694

8.  Karyotypic and molecular polymorphisms in Ctenomys torquatus (Rodentia: Ctenomyidae): taxonomic considerations.

Authors:  Fabiano A Fernandes; Gislene L Gonçalves; Simone S F Ximenes; Thales R O de Freitas
Journal:  Genetica       Date:  2009-01-01       Impact factor: 1.082

9.  Human impact in naturally patched small populations: genetic structure and conservation of the burrowing rodent, tuco-tuco (Ctenomys lami).

Authors:  Carla M Lopes; Thales R O de Freitas
Journal:  J Hered       Date:  2012-05-13       Impact factor: 2.645

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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