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Ocean currents help explain population genetic structure.

White C, Selkoe KA, Watson J, Siegel DA, Zacherl DC, Toonen RJ - Proc. Biol. Sci. (2010)

Bottom Line: Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites.Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation.This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management.

View Article: PubMed Central - PubMed

Affiliation: Marine Science Institute, University of California, Santa Barbara, CA 93106, USA. crowsfeather@gmail.com

ABSTRACT
Management and conservation can be greatly informed by considering explicitly how environmental factors influence population genetic structure. Using simulated larval dispersal estimates based on ocean current observations, we demonstrate how explicit consideration of frequency of exchange of larvae among sites via ocean advection can fundamentally change the interpretation of empirical population genetic structuring as compared with conventional spatial genetic analyses. Both frequency of larval exchange and empirical genetic difference were uncorrelated with Euclidean distance between sites. When transformed into relative oceanographic distances and integrated into a genetic isolation-by-distance framework, however, the frequency of larval exchange explained nearly 50 per cent of the variance in empirical genetic differences among sites over scales of tens of kilometres. Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites. Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation. This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management.

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Genetic differentiation in relation to Euclidean distance between sampling sites. See table 2 for regression statistics. Red squares, islands; green triangles, mainland; blue diamonds, cross channel.
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RSPB20092214F1: Genetic differentiation in relation to Euclidean distance between sampling sites. See table 2 for regression statistics. Red squares, islands; green triangles, mainland; blue diamonds, cross channel.

Mentions: Population genetic structure among all 10 sites was low but significant (global FST = 0.00138, p = 0.018; global Dest = 0.001). Genetic differentiation between pairwise sites ranged from −0.0023 to 0.0068 (FST) and from −0.0048 to 0.023 (Dest) (table 1). Six of the 45 pairwise FST values were statistically significant (p < 0.05), compared with approximately 2 expected by chance. Results from pairwise FST and Dest were correlated (R2 = 0.68, p = 0.0001; electronic supplementary material, figure S2), and the interpretation of the patterns was unchanged regardless of which measure of population structure was applied. For both FST and Dest, we did not detect a fit with a conventional isolation-by-distance model based on pairwise Euclidean distance (table 2; figure 1). In each of the three simulation sets analysed in program Geneland, the modal value of K among 10 replicate simulations indicated that the 709 sampled individuals constitute a single population.


Ocean currents help explain population genetic structure.

White C, Selkoe KA, Watson J, Siegel DA, Zacherl DC, Toonen RJ - Proc. Biol. Sci. (2010)

Genetic differentiation in relation to Euclidean distance between sampling sites. See table 2 for regression statistics. Red squares, islands; green triangles, mainland; blue diamonds, cross channel.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2871860&req=5

RSPB20092214F1: Genetic differentiation in relation to Euclidean distance between sampling sites. See table 2 for regression statistics. Red squares, islands; green triangles, mainland; blue diamonds, cross channel.
Mentions: Population genetic structure among all 10 sites was low but significant (global FST = 0.00138, p = 0.018; global Dest = 0.001). Genetic differentiation between pairwise sites ranged from −0.0023 to 0.0068 (FST) and from −0.0048 to 0.023 (Dest) (table 1). Six of the 45 pairwise FST values were statistically significant (p < 0.05), compared with approximately 2 expected by chance. Results from pairwise FST and Dest were correlated (R2 = 0.68, p = 0.0001; electronic supplementary material, figure S2), and the interpretation of the patterns was unchanged regardless of which measure of population structure was applied. For both FST and Dest, we did not detect a fit with a conventional isolation-by-distance model based on pairwise Euclidean distance (table 2; figure 1). In each of the three simulation sets analysed in program Geneland, the modal value of K among 10 replicate simulations indicated that the 709 sampled individuals constitute a single population.

Bottom Line: Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites.Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation.This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management.

View Article: PubMed Central - PubMed

Affiliation: Marine Science Institute, University of California, Santa Barbara, CA 93106, USA. crowsfeather@gmail.com

ABSTRACT
Management and conservation can be greatly informed by considering explicitly how environmental factors influence population genetic structure. Using simulated larval dispersal estimates based on ocean current observations, we demonstrate how explicit consideration of frequency of exchange of larvae among sites via ocean advection can fundamentally change the interpretation of empirical population genetic structuring as compared with conventional spatial genetic analyses. Both frequency of larval exchange and empirical genetic difference were uncorrelated with Euclidean distance between sites. When transformed into relative oceanographic distances and integrated into a genetic isolation-by-distance framework, however, the frequency of larval exchange explained nearly 50 per cent of the variance in empirical genetic differences among sites over scales of tens of kilometres. Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites. Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation. This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management.

Show MeSH
Related in: MedlinePlus