10.5061/DRYAD.H7DB0
Kershaw, Francine
Columbia University
Carvalho, Inês
University of Aveiro
Instituto Gulbenkian de Ciência
Loo, Jacqueline
New York University
Pomilla, Cristina
Wellcome Trust
Best, Peter B.
University of Pretoria
Findlay, Ken P.
University of Pretoria
Cerchio, Salvatore
Wildlife Conservation Society
Collins, Tim
Wildlife Conservation Society
Engel, Marcia H.
Humpback Whale Project/Humpback Whale Institute; Rua Barão do Rio
Branco, 125 Caravelas Bahia Brazil
Minton, Gianna
University of Pretoria
Ersts, Peter
Department of Environmental Affairs
Barendse, Jaco
University of Pretoria
Kotze, P. G. H.
Department of Environmental Affairs
Razafindrakoto, Yvette
Wildlife Conservation Society
Ngouessono, Solange
National Agency for National Parks
Meӱer, Michael
Department of Environmental Affairs
Thornton, Meredith
University of Pretoria
Rosenbaum, Howard C.
Wildlife Conservation Society
Data from: Multiple processes drive genetic structure of humpback whale
(Megaptera novaeangliae) populations across spatial scales
Dryad
dataset
2016
International Whaling Commission
Southern Hemisphere
Wildlife Management
2016-12-08T14:25:52Z
2016-12-08T14:25:52Z
en
https://doi.org/10.1111/mec.13943
271227 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Elucidating patterns of population structure for species with complex life
histories, and disentangling the processes driving such patterns, remains
a significant analytical challenge. Humpback whale (Megaptera
novaeangliae) populations display complex genetic structures that have not
been fully resolved at all spatial scales. We generated a data set of
nuclear markers for 3,575 samples spanning the seven breeding stocks and
substocks found in the South Atlantic and western and northern Indian
Oceans. For the total sample, and males and females separately, we
assessed genetic diversity, tested for genetic differentiation between
putative populations and isolation by distance, estimated the number of
genetic clusters without a priori population information, and estimated
rates of gene flow using maximum likelihood and Bayesian approaches. At
the ocean basin scale, structure is governed by geographic distance (IBD
p<0.05) and female fidelity to breeding areas, in line with current
understanding of the drivers of broad-scale population structure.
Consistent with previous studies, the Arabian Sea breeding stock was
highly genetically differentiated (FST 0.034-0.161; p<0.01 for all
comparisons). However, the breeding stock boundary between west South
Africa and east Africa was more porous than expected based on genetic
differentiation, cluster, and gene flow analyses. Instances of
male-fidelity to breeding areas and relatively high rates of dispersal for
females were also observed between the three substocks in the western
Indian Ocean. This mismatch between demographic units and current
management boundaries may have ramifications for assessments of the status
and continued protections of populations still in recovery from commercial
whaling.
UsatdataHumpback whale microsatellite data set (9
loci)Kershaw_et_al_MolecularEcology_DryadSubmission.csv