Population Genetics to Population Genomics: Revisiting Multispecies Connectivity of the Hawaiian Archipelago

Understanding connectivity between populations is key to identifying hotspots of diversity, dispersal sinks and sources, and effective management units for natural resources. Multi-species connectivity seeks to overcome species-specific idiosyncrasies to identify shared patterns that are most critical to spatial management. The linear Hawaiian archipelago provides an excellent platform to assess multi-species connectivity patterns, with shared boundaries to gene flow identified across a majority of the 41 coral reef species surveyed to date. Here, we evaluate genome-scale data by comparing consistency and resolution to previous connectivity studies using far fewer loci. We used pool-seq to genotype 22,503–232,730 single nucleotide polymorphisms per species (625,215 SNPs total) from the same individuals published in previous studies of two fishes, two corals, and two lobsters. Additionally, one coral species (Pocillopora meandrina) without previous archipelago-wide population genetic data was included. With greater statistical power, most genetic differences between pairwise comparisons of islands were significant (250 of 308), consistent with the most recent larval dispersal models for the Hawaiian Archipelago. These data reveal significant differentiation at a finer scale than previously reported using single-marker studies, yet did not overturn any of the conclusions or management implications drawn from previous studies. We confirm that population genomic datasets are consistent with previously reported patterns of multispecies connectivity but add a finer layer of population resolution that is pertinent to management.

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Publication Details

Journal
Fishes
Published
2025-12-05
DOI
https://doi.org/10.3390/fishes10120623
Primary Topic
Coral and Marine Ecosystems Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Population Genetics to Population Genomics: Revisiting Multispecies Connectivity of the Hawaiian Archipelago

Erika C. Johnston, Richard R. Coleman, Brian W. Bowen, Emily Conklin et al.
Fishes
Coral and Marine Ecosystems Studies
article

Population Genetics to Population Genomics: Revisiting Multispecies Connectivity of the Hawaiian Archipelago

Erika C. Johnston, Richard R. Coleman, Brian W. Bowen, Emily Conklin, Evan B. Freel, Jonathan Whitney, Zac H. Forsman, Matthew Iacchei, Derek W. Kraft, Ingrid S. Knapp, Robert John Toonen
article en

Abstract

Understanding connectivity between populations is key to identifying hotspots of diversity, dispersal sinks and sources, and effective management units for natural resources. Multi-species connectivity seeks to overcome species-specific idiosyncrasies to identify shared patterns that are most critical to spatial management. The linear Hawaiian archipelago provides an excellent platform to assess multi-species connectivity patterns, with shared boundaries to gene flow identified across a majority of the 41 coral reef species surveyed to date. Here, we evaluate genome-scale data by comparing consistency and resolution to previous connectivity studies using far fewer loci. We used pool-seq to genotype 22,503–232,730 single nucleotide polymorphisms per species (625,215 SNPs total) from the same individuals published in previous studies of two fishes, two corals, and two lobsters. Additionally, one coral species (Pocillopora meandrina) without previous archipelago-wide population genetic data was included. With greater statistical power, most genetic differences between pairwise comparisons of islands were significant (250 of 308), consistent with the most recent larval dispersal models for the Hawaiian Archipelago. These data reveal significant differentiation at a finer scale than previously reported using single-marker studies, yet did not overturn any of the conclusions or management implications drawn from previous studies. We confirm that population genomic datasets are consistent with previously reported patterns of multispecies connectivity but add a finer layer of population resolution that is pertinent to management.

FishesVol. 10(12)
University of Hawaiʻi at Mānoa (US), Oregon State University (US), University of Miami (US), Hawaii Pacific University (US), NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center (US)
National Science Foundation, National Estuarine Research Reserve System, University of Hawai'i, National Oceanic and Atmospheric Administration, Hawai'i Sea Grant, University of Hawai'i, National Marine Fisheries Service, Office of Experimental Program to Stimulate Competitive Research
Openalex Percentile: Top 62%
Coral and Marine Ecosystems Studies
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