Literature DB >> 29234157

Spatial genetic structure in American black bears (Ursus americanus): female philopatry is variable and related to population history.

Thea V Kristensen1,2, Emily E Puckett3,4, Erin L Landguth5, Jerrold L Belant6, John T Hast7, Colin Carpenter8, Jaime L Sajecki9, Jeff Beringer10, Myron Means11, John J Cox6, Lori S Eggert3, Don White12, Kimberly G Smith13.   

Abstract

Previously, American black bears (Ursus americanus) were thought to follow the pattern of female philopatry and male-biased dispersal. However, recent studies have identified deviations from this pattern. Such flexibility in dispersal patterns can allow individuals greater ability to acclimate to changing environments. We explored dispersal and spatial genetic relatedness patterns across ten black bear populations-including long established (historic), with known reproduction >50 years ago, and newly established (recent) populations, with reproduction recorded <50 years ago-in the Interior Highlands and Southern Appalachian Mountains, United States. We used spatially explicit, individual-based genetic simulations to model gene flow under scenarios with varying levels of population density, genetic diversity, and female philopatry. Using measures of genetic distance and spatial autocorrelation, we compared metrics between sexes, between population types (historic and recent), and among simulated scenarios which varied in density, genetic diversity, and sex-biased philopatry. In empirical populations, females in recent populations exhibited stronger patterns of isolation-by-distance (IBD) than females and males in historic populations. In simulated populations, low-density populations had a stronger indication of IBD than medium- to high-density populations; however, this effect varied in empirical populations. Condition-dependent dispersal strategies may permit species to cope with novel conditions and rapidly expand populations. Pattern-process modeling can provide qualitative and quantitative means to explore variable dispersal patterns, and could be employed in other species, particularly to anticipate range shifts in response to changing climate and habitat conditions.

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Mesh:

Year:  2017        PMID: 29234157      PMCID: PMC5842220          DOI: 10.1038/s41437-017-0019-0

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  42 in total

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Journal:  Am Nat       Date:  2001-07       Impact factor: 3.926

3.  Informed dispersal, heterogeneity in animal dispersal syndromes and the dynamics of spatially structured populations.

Authors:  Jean Clobert; Jean-François Le Galliard; Julien Cote; Sandrine Meylan; Manuel Massot
Journal:  Ecol Lett       Date:  2008-12-10       Impact factor: 9.492

4.  Sex-biased natal dispersal and inbreeding avoidance in American black bears as revealed by spatial genetic analyses.

Authors:  Cecily M Costello; Scott R Creel; Steven T Kalinowski; Ninh V Vu; Howard B Quigley
Journal:  Mol Ecol       Date:  2008-09-30       Impact factor: 6.185

5.  Sex-biased dispersal and inbreeding avoidance in birds and mammals.

Authors:  A E Pusey
Journal:  Trends Ecol Evol       Date:  1987-10       Impact factor: 17.712

6.  Tetranucleotide microsatellite loci from the black bear (Ursus americanus).

Authors:  Jamie Skvarla Sanderlin; Brant C Faircloth; Brian Shamblin; Michael J Conroy
Journal:  Mol Ecol Resour       Date:  2008-11-10       Impact factor: 7.090

7.  The detection of disease clustering and a generalized regression approach.

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

8.  High resolution of human evolutionary trees with polymorphic microsatellites.

Authors:  A M Bowcock; A Ruiz-Linares; J Tomfohrde; E Minch; J R Kidd; L L Cavalli-Sforza
Journal:  Nature       Date:  1994-03-31       Impact factor: 49.962

9.  Trap array configuration influences estimates and precision of black bear density and abundance.

Authors:  Clay M Wilton; Emily E Puckett; Jeff Beringer; Beth Gardner; Lori S Eggert; Jerrold L Belant
Journal:  PLoS One       Date:  2014-10-28       Impact factor: 3.240

10.  Using simulations to evaluate Mantel-based methods for assessing landscape resistance to gene flow.

Authors:  Katherine A Zeller; Tyler G Creech; Katie L Millette; Rachel S Crowhurst; Robert A Long; Helene H Wagner; Niko Balkenhol; Erin L Landguth
Journal:  Ecol Evol       Date:  2016-05-21       Impact factor: 2.912

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