Phylogeographic Structure in Benthic Marine Invertebrates of the Southeast Pacific Coast of Chile with Differing Dispersal Potential
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{"title"=>"Phylogeographic structure in benthic marine invertebrates of the southeast pacific coast of Chile with differing dispersal potential", "type"=>"journal", "authors"=>[{"first_name"=>"Pilar A.", "last_name"=>"Haye", "scopus_author_id"=>"6602306008"}, {"first_name"=>"Nicolás I.", "last_name"=>"Segovia", "scopus_author_id"=>"37122810600"}, {"first_name"=>"Natalia C.", "last_name"=>"Muñoz-Herrera", "scopus_author_id"=>"55927357100"}, {"first_name"=>"Francisca E.", "last_name"=>"Gálvez", "scopus_author_id"=>"56080803800"}, {"first_name"=>"Andrea", "last_name"=>"Martínez", "scopus_author_id"=>"56408931900"}, {"first_name"=>"Andrés", "last_name"=>"Meynard", "scopus_author_id"=>"6603202581"}, {"first_name"=>"María C.", "last_name"=>"Pardo-Gandarillas", "scopus_author_id"=>"6506857118"}, {"first_name"=>"Elie", "last_name"=>"Poulin", "scopus_author_id"=>"7005424421"}, {"first_name"=>"Sylvain", "last_name"=>"Faugeron", "scopus_author_id"=>"12780014500"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84896756907", "sgr"=>"84896756907", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0088613", "pmid"=>"24586356", "isbn"=>"1932-6203", "pui"=>"372580057"}, "id"=>"e040a825-2ac7-3650-84e6-166f1026e47b", "abstract"=>"The role of dispersal potential on phylogeographic structure, evidenced by the degree of genetic structure and the presence of coincident genetic and biogeographic breaks, was evaluated in a macrogeographic comparative approach along the north-central coast of Chile, across the biogeographic transition zone at 30°S. Using 2,217 partial sequences of the mitochondrial Cytochrome Oxidase I gene of eight benthic invertebrate species along ca. 2,600 km of coast, we contrasted dispersal potential with genetic structure and determined the concordance between genetic divergence between biogeographic regions and the biogeographic transition zone at 30°S. Genetic diversity and differentiation highly differed between species with high and low dispersal potential. Dispersal potential, sometimes together with biogeographic region, was the factor that best explained the genetic structure of the eight species. The three low dispersal species, and one species assigned to the high dispersal category, had a phylogeographic discontinuity coincident with the biogeographic transition zone at 30°S. Furthermore, coalescent analyses based on the isolation-with-migration model validate that the split between biogeographic regions north and south of 30°S has a historic origin. The signatures of the historic break in high dispersers is parsimoniously explained by the homogenizing effects of gene flow that have erased the genetic signatures, if ever existed, in high dispersers. Of the four species with structure across the break, only two had significant albeit very low levels of asymmetric migration across the transition zone. Historic processes have led to the current biogeographic and phylogeographic structure of marine species with limited dispersal along the north-central coast of Chile, with a strong lasting impact in their genetic structure.", "link"=>"http://www.mendeley.com/research/phylogeographic-structure-benthic-marine-invertebrates-southeast-pacific-coast-chile-differing-dispe", "reader_count"=>83, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>8, "Librarian"=>1, "Researcher"=>12, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>23, "Student > Postgraduate"=>7, "Student > Master"=>17, "Other"=>1, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>8, "Librarian"=>1, "Researcher"=>12, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>23, "Student > Postgraduate"=>7, "Student > Master"=>17, "Other"=>1, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>10, "Biochemistry, Genetics and Molecular Biology"=>6, "Mathematics"=>1, "Agricultural and Biological Sciences"=>60, "Social Sciences"=>1, "Computer Science"=>1, "Earth and Planetary Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>60}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>6}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>10}}, "reader_count_by_country"=>{"Chile"=>6, "France"=>1, "Spain"=>1}, "group_count"=>2}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1391658"], "description"=>"<p>Species were nested to dispersal in the model. For each model the AIC value, and the variance estimate of fixed effects (Estimate), standard error, degrees of freedom (<i>df</i>), t-value ratio and <i>P</i> values of the intercept are shown.</p><p>Significant values are in bold (<i>P</i><0.05).</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "performed", "dispersal", "groups", "populations"], "article_id"=>939041, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t005", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GLMMs_performed_to_compare_species_with_high_and_low_dispersal_potential_DP_in_AMOVA_s_F_statistics_among_groups_CT_among_populations_within_groups_SC_and_within_populations_ST_/939041", "title"=>"GLMMs performed to compare species with high and low dispersal potential (DP) in AMOVA’s F statistics among groups (Φ<i><sub>CT</sub></i>), among populations within groups (Φ<i><sub>SC</sub></i>), and within populations (Φ<i><sub>ST</sub></i>).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391659"], "description"=>"<p>Significant values are in bold.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "degrees", "localities", "sequences", "truncated", "alignment", "sites", "haplotype", "nucleotide", "mantel", "coefficient"], "article_id"=>939042, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Latitudinal_range_analyzed_in_degrees_for_each_species_Lat_number_of_localities_NL_number_of_sequences_analyzed_per_species_NS_length_of_final_truncated_alignment_LA_percentage_of_variable_sites_V_average_haplotype_h_and_nucleotide_diversities_S_nn_globa/939042", "title"=>"Latitudinal range analyzed in degrees for each species (Lat); number of localities (NL); number of sequences analyzed per species (NS); length of final truncated alignment (LA); percentage of variable sites (%V); average haplotype (h) and nucleotide (π) diversities; S<sub>nn</sub>; global Φ<sub>ST</sub>, and Mantel correlation coefficient (MCC).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391660"], "description"=>"<p>Species were nested to dispersal in the models. For each model the AIC value is shown and the variance estimate of fixed effects (Estimate), standard error, degrees of freedom (<i>df</i>), t-value ratio and <i>P</i> values of the intercept and of the contributions of dispersal potential (DP), biogeographic region (BR) (for genetic diversities and number of substitutions) or biogeographic differentiation (BD) (for genetic differentiation), and the interaction of DP x BR and DP x BD for diversities and differentiation, respectively.</p><p>Significant values are in bold (<i>P</i><0.05).</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "performed", "dispersal", "biogeographic", "regions", "haplotype", "nucleotide", "differentiation"], "article_id"=>939043, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t003", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GLMMs_performed_to_compare_genetic_structure_in_species_with_high_and_low_dispersal_potential_and_biogeographic_regions_north_and_south_of_30_S_with_respect_to_haplotype_diversity_nucleotide_diversity_number_of_substitutions_and_genetic_differentiation_g/939043", "title"=>"GLMMs performed to compare genetic structure in species with high and low dispersal potential and biogeographic regions (north and south of 30°S), with respect to haplotype diversity, nucleotide diversity, number of substitutions, and genetic differentiation (global Φ<sub>ST</sub>).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391661"], "description"=>"<p>*Considered as low dispersers in this study.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "corresponding", "meters", "dispersal", "days", "larvae"], "article_id"=>939044, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t001", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Species_analyzed_and_the_corresponding_depth_range_in_meters_that_they_inhabit_and_dispersal_potential_DP_as_number_of_days_that_larvae_spend_in_the_water_column_/939044", "title"=>"Species analyzed and the corresponding depth range in meters that they inhabit, and dispersal potential (DP) as number of days that larvae spend in the water column.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391650"], "description"=>"<p>Map of the study area along the coast of Chile indicating the sampling sites and the sample size per site for each of the analyzed species.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "chile", "sampling", "sites"], "article_id"=>939033, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.g001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_of_the_study_area_along_the_coast_of_Chile_indicating_the_sampling_sites_and_the_sample_size_per_site_for_each_of_the_analyzed_species_/939033", "title"=>"Map of the study area along the coast of Chile indicating the sampling sites and the sample size per site for each of the analyzed species.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391651"], "description"=>"<p>Box-plots of global (a and b) and per population (c and d) haplotype (a and c) and nucleotide (b and d) diversities for high and low dispersers.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "haplotype", "nucleotide", "diversities"], "article_id"=>939034, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.g002", "stats"=>{"downloads"=>4, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Box_plots_of_global_a_and_b_and_per_population_c_and_d_haplotype_a_and_c_and_nucleotide_b_and_d_diversities_for_high_and_low_dispersers_/939034", "title"=>"Box-plots of global (a and b) and per population (c and d) haplotype (a and c) and nucleotide (b and d) diversities for high and low dispersers.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391652"], "description"=>"<p>Box-plots of global (a) and average population-pairwise (b) Φ<sub>ST</sub> for high and low dispersers.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "population-pairwise"], "article_id"=>939035, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.g003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Box_plots_of_global_a_and_average_population_pairwise_b_ST_for_high_and_low_dispersers_/939035", "title"=>"Box-plots of global (a) and average population-pairwise (b) Φ<sub>ST</sub> for high and low dispersers.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391653"], "description"=>"<p>Insert with map details the biogeographic regions north and south of 30°S in the analyzed coast section and shades associated with each of them that were used to mark the geographic location of haplotypes. All haplotype networks are standardized in such way that small circles represent haplotypes present in one individual. Mutational steps (lines between circles) were kept the same length excepting for the network of <i>Emerita analoga</i> where mutational steps arising from the most common haplotype were kept to the minimum length to allow accommodating all derived haplotypes.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "joining", "haplotype", "networks", "chilean"], "article_id"=>939036, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.g004", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Median_joining_haplotype_networks_of_eight_species_analyzed_of_the_Chilean_coast_/939036", "title"=>"Median joining haplotype networks of eight species analyzed of the Chilean coast.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391654"], "description"=>"<p>(a) Marginal posterior probability distribution of migration rate estimates in each direction for each species. (b) Estimated Θ (2 Ne) values for each biogeographic region (north and south) as well as the ancestral Θ against genetic differentiation (global Φ<sub>ST</sub>). Asterisks denote estimated Θ 95% HPD that do not overlap with either ancestral Θ or the estimated Θ in the other biogeographic region. (c) Marginal posterior probability distributions of divergence time (<i>t</i>) estimates expressed in thousands of years (Kyr). Divergence time estimates were scaled using 2% and 10% per million year substitution rates. (d) Highest probability value of estimated migration rates (<i>m</i>) in each direction, and divergence times (<i>t</i>) expressed in thousands of years (Kyr) scaled using 2% per million year substitution rate, versus genetic differentiation (global Φ<sub>ST</sub>). Asterisks indicate significant values based on the likelihood ratio test.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "biogeographic"], "article_id"=>939037, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.g005", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Isolation_with_migration_analysis_of_four_species_with_significant_structure_across_the_30_176_S_biogeographic_break_/939037", "title"=>"Isolation-with-migration analysis of four species with significant structure across the 30°S biogeographic break.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391655"], "description"=>"<p>Best <i>k</i> corresponds to the detected optimal number of populations, the F<i><sub>CT</sub></i> value of optimal <i>k</i> and associated probability (<i>P</i>) are shown. For the two taxa that have optimal <i>k</i> >2, the corresponding F<i><sub>CT</sub></i> is also shown (<i>k</i> (2) F<i><sub>CT</sub></i>), as well as the associated <i>p</i>-value (<i>k</i> (2) <i>P</i>), and the latitude that limits the two groups (Lat <i>k</i> (2)).</p><p>Significant values are in bold.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "spatial"], "article_id"=>939038, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t006", "stats"=>{"downloads"=>6, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_SAMOVA_of_species_with_spatial_genetic_structure_/939038", "title"=>"SAMOVA of species with spatial genetic structure.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1391656"], "description"=>"<p>For each parameter per species, the high point (HP) and 95% highest posterior density (95% HPD) of the marginal posterior probabilities are shown. Significant m values of the LRT are denoted with asterisks; *<i>P</i><0.05, **<i>P</i><0.01, ***P<0.001. <i>t</i> was scaled using substitution rates of 2% and 10% per million years, <i>t</i> 2% and <i>t</i> 10% respectively as is expressed in thousands of years (Kyr).</p><p>Significant values are in bold.</p>", "links"=>[], "tags"=>["Computational biology", "population genetics", "Gene flow", "ecology", "Ecological environments", "Marine environments", "biogeography", "Marine ecology", "Evolutionary biology", "Evolutionary systematics", "phylogenetics", "Evolutionary genetics", "Marine biology", "Marine monitoring", "rates", "divergence", "biogeographic", "diversities", "isolation-with-migration", "implemented"], "article_id"=>939039, "categories"=>["Biological Sciences"], "users"=>["Pilar A. Haye", "Nicolás I. Segovia", "Natalia C. Muñoz-Herrera", "Francisca E. Gálvez", "Andrea Martínez", "Andrés Meynard", "María C. Pardo-Gandarillas", "Elie Poulin", "Sylvain Faugeron"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088613.t007", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Estimates_of_migration_rates_m_in_each_direction_across_30_S_time_of_divergence_t_between_biogeographic_regions_and_genetic_diversities_north__N_south_8202_8202_920_S_ancestral_8202_8202_920_A_based_on_the_isolation_with_migration_model_implemented_in_IM/939039", "title"=>"Estimates of migration rates (<i>m</i>) in each direction across 30°S, time of divergence (<i>t</i>) between biogeographic regions, and genetic diversities (Θ) (north = Θ<sub>N</sub>; south = Θ<sub>S</sub>; ancestral = Θ<sub>A</sub>), based on the isolation-with-migration model implemented in IMa2.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-19 03:26:03"}

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