TY - JOUR
T1 - Sex-biased gene flow among elk in the greater Yellowstone ecosystem
AU - Hand, Brian K.
AU - Chen, Shanyuan
AU - Anderson, Neil
AU - Beja-Pereira, Albano
AU - Cross, Paul C.
AU - Ebinger, Michael
AU - Edwards, Hank
AU - Garrott, Robert A.
AU - Kardos, Marty D.
AU - Kauffman, Matt
AU - Landguth, Erin L.
AU - Middleton, Arthur
AU - Scurlock, Brandon
AU - White, P. J.
AU - Zager, Pete
AU - Schwartz, Michael K.
AU - Luikart, Gordon
PY - 2014/6
Y1 - 2014/6
N2 - We quantified patterns of population genetic structure to help understand gene flow among elk populations across the Greater Yellowstone Ecosystem. We sequenced 596 base pairs of the mitochondrial control region of 380 elk from eight populations. Analysis revealed high mitochondrial DNA variation within populations, averaging 13.0 haplotypes with high mean gene diversity (0.85). The genetic differentiation among populations for mitochondrial DNA was relatively high (FST = 0.161; P = 0.001) compared to genetic differentiation for nuclear microsatellite data (FST = 0.002; P = 0.332), which suggested relatively low female gene flow among populations. The estimated ratio of male to female gene flow (mm/mf = 46) was among the highest we have seen reported for large mammals. Genetic distance (for mitochondrial DNA pairwise FST) was not significantly correlated with geographic (Euclidean) distance between populations (Mantel's r = 0.274, P = 0.168). Large mitochondrial DNA genetic distances (e.g., FST. 0.2) between some of the geographically closest populations (<65 km) suggested behavioral factors and/or landscape features might shape female gene flow patterns. Given the strong sex-biased gene flow, future research and conservation efforts should consider the sexes separately when modeling corridors of gene flow or predicting spread of maternally transmitted diseases. The growing availability of genetic data to compare male vs. female gene flow provides many exciting opportunities to explore the magnitude, causes, and implications of sex-biased gene flow likely to occur in many species.
AB - We quantified patterns of population genetic structure to help understand gene flow among elk populations across the Greater Yellowstone Ecosystem. We sequenced 596 base pairs of the mitochondrial control region of 380 elk from eight populations. Analysis revealed high mitochondrial DNA variation within populations, averaging 13.0 haplotypes with high mean gene diversity (0.85). The genetic differentiation among populations for mitochondrial DNA was relatively high (FST = 0.161; P = 0.001) compared to genetic differentiation for nuclear microsatellite data (FST = 0.002; P = 0.332), which suggested relatively low female gene flow among populations. The estimated ratio of male to female gene flow (mm/mf = 46) was among the highest we have seen reported for large mammals. Genetic distance (for mitochondrial DNA pairwise FST) was not significantly correlated with geographic (Euclidean) distance between populations (Mantel's r = 0.274, P = 0.168). Large mitochondrial DNA genetic distances (e.g., FST. 0.2) between some of the geographically closest populations (<65 km) suggested behavioral factors and/or landscape features might shape female gene flow patterns. Given the strong sex-biased gene flow, future research and conservation efforts should consider the sexes separately when modeling corridors of gene flow or predicting spread of maternally transmitted diseases. The growing availability of genetic data to compare male vs. female gene flow provides many exciting opportunities to explore the magnitude, causes, and implications of sex-biased gene flow likely to occur in many species.
KW - Cervus elephus
KW - Female philopatry
KW - Genetic population structure
KW - Yellowstone national park
UR - http://www.scopus.com/inward/record.url?scp=84902822149&partnerID=8YFLogxK
U2 - 10.3996/022012-JFWM-017
DO - 10.3996/022012-JFWM-017
M3 - Comment/debate
AN - SCOPUS:84902822149
SN - 1944-687X
VL - 5
SP - 124
EP - 132
JO - Journal of Fish and Wildlife Management
JF - Journal of Fish and Wildlife Management
IS - 1
ER -