Literature DB >> 17284211

Defining population boundaries: use of three Bayesian approaches with microsatellite data from British natterjack toads (Bufo calamita).

G Rowe1, T J C Beebee.   

Abstract

Defining boundaries between populations is often difficult in the absence of information about current levels of gene flow. Such definitions can be important, however, both for the understanding of population dynamics and for conservation planning. Recently developed Bayesian methods for analysing genetic data now provide a powerful approach to this problem. Natterjack toads Bufo calamita are endangered in Britain, where their distribution is restricted to four geographically discrete regions. In three of these regions the boundaries between populations are often uncertain. We therefore used Bayesian approaches with microsatellite data to try and define British natterjack population structure, and thus inform conservation management. A large sample of natterjack toads from all 38 locations in Britain where the species is native was genotyped at eight microsatellite loci. The genetic diversity of natterjack populations declined as a function of increasing latitude, echoing postglacial colonization dynamics. Comparisons of three assignment methods (structure, baps and geneland) generated some broad similarities but also some inconsistencies in the definitions of population structure, especially in the most complex region (south Cumbria). Implications of the analyses for the future conservation of Bufo calamita in Britain are discussed.

Entities:  

Mesh:

Year:  2007        PMID: 17284211     DOI: 10.1111/j.1365-294X.2006.03188.x

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


  9 in total

1.  An empirical assessment of individual-based population genetic statistical techniques: application to British pig breeds.

Authors:  S Wilkinson; C Haley; L Alderson; P Wiener
Journal:  Heredity (Edinb)       Date:  2010-06-16       Impact factor: 3.821

2.  Genetic connectivity and inter-population seed dispersal of Banksia hookeriana at the landscape scale.

Authors:  Tianhua He; Byron B Lamont; Siegfried L Krauss; Neal J Enright
Journal:  Ann Bot       Date:  2010-07-19       Impact factor: 4.357

3.  Multi-locus inference of population structure: a comparison between single nucleotide polymorphisms and microsatellites.

Authors:  R J Haasl; B A Payseur
Journal:  Heredity (Edinb)       Date:  2010-03-24       Impact factor: 3.821

4.  Vicariance and marine migration in continental island populations of a frog endemic to the Atlantic Coastal forest.

Authors:  M C Duryea; K R Zamudio; C A Brasileiro
Journal:  Heredity (Edinb)       Date:  2015-04-29       Impact factor: 3.821

5.  Role of recent and old riverine barriers in fine-scale population genetic structure of Geoffroy's tamarin (Saguinus geoffroyi) in the Panama Canal watershed.

Authors:  Samuel L Díaz-Muñoz
Journal:  Ecol Evol       Date:  2012-02       Impact factor: 2.912

6.  Genetic Population Structure of Wild Pigs in Southern Texas.

Authors:  Johanna Delgado-Acevedo; Angeline Zamorano; Randy W DeYoung; Tyler A Campbell
Journal:  Animals (Basel)       Date:  2021-01-12       Impact factor: 2.752

7.  Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs.

Authors:  Ulf Hannelius; Elina Salmela; Tuuli Lappalainen; Gilles Guillot; Cecilia M Lindgren; Ulrika von Döbeln; Päivi Lahermo; Juha Kere
Journal:  BMC Genet       Date:  2008-08-19       Impact factor: 2.797

8.  How do you solve a problem like Letharia? A new look at cryptic species in lichen-forming fungi using Bayesian clustering and SNPs from multilocus sequence data.

Authors:  Susanne Altermann; Steven D Leavitt; Trevor Goward; Matthew P Nelsen; H Thorsten Lumbsch
Journal:  PLoS One       Date:  2014-05-15       Impact factor: 3.240

9.  Genetic variation and population structure in a threatened species, the Utah prairie dog Cynomys parvidens: the use of genetic data to inform conservation actions.

Authors:  Nathanael L Brown; Mary M Peacock; Mark E Ritchie
Journal:  Ecol Evol       Date:  2016-01-08       Impact factor: 2.912

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.