Literature DB >> 7663752

Microsatellite analysis of population structure in Canadian polar bears.

D Paetkau1, W Calvert, I Stirling, C Strobeck.   

Abstract

Attempts to study the genetic population structure of large mammals are often hampered by the low levels of genetic variation observed in these species. Polar bears have particularly low levels of genetic variation with the result that their genetic population structure has been intractable. We describe the use of eight hypervariable microsatellite loci to study the genetic relationships between four Canadian polar bear populations: the northern Beaufort Sea, southern Beaufort Sea, western Hudson Bay, and Davis Strait-Labrador Sea. These markers detected considerable genetic variation, with average heterozygosity near 60% within each population. Interpopulation differences in allele frequency distribution were significant between all pairs of populations, including two adjacent populations in the Beaufort Sea. Measures of genetic distance reflect the geographic distribution of populations, but also suggest patterns of gene flow which are not obvious from geography and may reflect movement patterns of these animals. Distribution of variation is sufficiently different between the Beaufort Sea populations and the two more eastern ones that the region of origin for a given sample can be predicted based on its expected genotype frequency using an assignment test. These data indicate that gene flow between local populations is restricted despite the long-distance seasonal movements undertaken by polar bears.

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Year:  1995        PMID: 7663752     DOI: 10.1111/j.1365-294x.1995.tb00227.x

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


  203 in total

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Authors:  J M Cornuet; S Piry; G Luikart; A Estoup; M Solignac
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

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Authors:  G Cooper; W Amos; R Bellamy; M R Siddiqui; A Frodsham; A V Hill; D C Rubinsztein
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

3.  Estimation of pairwise relatedness with molecular markers.

Authors:  M Lynch; K Ritland
Journal:  Genetics       Date:  1999-08       Impact factor: 4.562

4.  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

5.  The one that did not get away: individual assignment using microsatellite data detects a case of fishing competition fraud.

Authors:  C R Primmer; M T Koskinen; J Piironen
Journal:  Proc Biol Sci       Date:  2000-08-22       Impact factor: 5.349

6.  Empirical evaluation of genetic clustering methods using multilocus genotypes from 20 chicken breeds.

Authors:  N A Rosenberg; T Burke; K Elo; M W Feldman; P J Freidlin; M A Groenen; J Hillel; A Mäki-Tanila; M Tixier-Boichard; A Vignal; K Wimmers; S Weigend
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

7.  Y chromosome STR haplotypes and the genetic structure of U.S. populations of African, European, and Hispanic ancestry.

Authors:  Manfred Kayser; Silke Brauer; Hiltrud Schädlich; Mechthild Prinz; Mark A Batzer; Peter A Zimmerman; B A Boatin; Mark Stoneking
Journal:  Genome Res       Date:  2003-04       Impact factor: 9.043

8.  Genetic sex identification and the potential evolution of sex determination in Pacific halibut (Hippoglossus stenolepis).

Authors:  Heather M Galindo; Timothy Loher; Lorenz Hauser
Journal:  Mar Biotechnol (NY)       Date:  2011-01-29       Impact factor: 3.619

9.  Informativeness of genetic markers for inference of ancestry.

Authors:  Noah A Rosenberg; Lei M Li; Ryk Ward; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2003-11-20       Impact factor: 11.025

10.  Cloned ferrets produced by somatic cell nuclear transfer.

Authors:  Ziyi Li; Xingshen Sun; Juan Chen; Xiaoming Liu; Samantha M Wisely; Qi Zhou; Jean-Paul Renard; Gregory H Leno; John F Engelhardt
Journal:  Dev Biol       Date:  2006-04-03       Impact factor: 3.582

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