title: Population Genetic Structure of the Tropical Two-Wing Flyingfish (Exocoetus volitans).
abstract: Delineating populations of pantropical marine fish is a difficult process, due to widespread geographic ranges and complex life history traits in most species. Exocoetus volitans, a species of two-winged flyingfish, is a good model for understanding large-scale patterns of epipelagic fish population structure because it has a circumtropical geographic range and completes its entire life cycle in the epipelagic zone. Buoyant pelagic eggs should dictate high local dispersal capacity in this species, although a brief larval phase, small body size, and short lifespan may limit the dispersal of individuals over large spatial scales. Based on these biological features, we hypothesized that E. volitans would exhibit statistically and biologically significant population structure defined by recognized oceanographic barriers. We tested this hypothesis by analyzing cytochrome b mtDNA sequence data (1106 bps) from specimens collected in the Pacific, Atlantic and Indian oceans (n = 266). AMOVA, Bayesian, and coalescent analytical approaches were used to assess and interpret population-level genetic variability. A parsimony-based haplotype network did not reveal population subdivision among ocean basins, but AMOVA revealed limited, statistically significant population structure between the Pacific and Atlantic Oceans (ΦST = 0.035, p<0.001). A spatially-unbiased Bayesian approach identified two circumtropical population clusters north and south of the Equator (ΦST = 0.026, p<0.001), a previously unknown dispersal barrier for an epipelagic fish. Bayesian demographic modeling suggested the effective population size of this species increased by at least an order of magnitude ~150,000 years ago, to more than 1 billion individuals currently. Thus, high levels of genetic similarity observed in E. volitans can be explained by high rates of gene flow, a dramatic and recent population expansion, as well as extensive and consistent dispersal throughout the geographic range of the species.
authors.affiliation: Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.|Departments of Biochemistry & Molecular Biology and Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, United States of America.
authors.forename: Eric A
authors.initials: EA
authors.lastname: Lewallen
authors.affiliation: Department of Biology, San Diego State University, San Diego, California, United States of America.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Bohonak
authors.affiliation: University of St. Thomas, St. Paul, Minnesota, United States of America.
authors.forename: Carolina A
authors.initials: CA
authors.lastname: Bonin
authors.affiliation: Departments of Biochemistry & Molecular Biology and Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, United States of America.
authors.forename: Andre J
authors.initials: AJ
authors.lastname: van Wijnen
authors.affiliation: Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, California, United States of America.
authors.forename: Robert L
authors.initials: RL
authors.lastname: Pitman
authors.affiliation: Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
authors.forename: Nathan R
authors.initials: NR
authors.lastname: Lovejoy
mesh_terms: D000818:Animals; D001267:Atlantic Ocean; D001499:Bayes Theorem; D023761:Beloniformes / Q000235:genetics* / Q000254:growth & development; D016000:Cluster Analysis; D045303:Cytochromes b / Q000235:genetics; D004272:DNA, Mitochondrial / Q000235:genetics; D029941:Fish Proteins / Q000235:genetics; D051456:Gene Flow; D014644:Genetic Variation; D005828:Genetics, Population; D006239:Haplotypes; D019156:Indian Ocean; D010140:Pacific Ocean; D010802:Phylogeny; D011156:Population Density; D011158:Population Growth
chemical_list: D004272:DNA, Mitochondrial; D029941:Fish Proteins; D045303:Cytochromes b