Data from: Riverscape genetics identifies replicated ecological divergence across an Amazonian ecotone

Cooke GM, Landguth EL, Beheregaray LB

Date Published: April 17, 2014

DOI: http://dx.doi.org/10.5061/dryad.7h9f4

 

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Title UniformSelection_CDPOP
Downloaded 33 times
Description 1) No spatial selection gradient (‘uniform’): In this scenario, the three genotypes (AA, Aa, and aa) were being selected against, but uniformly across the ‘water color’ riverscape scenario, thus having no spatial dependency and allowing us to test for type I statistical errors.
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Title GentleSelection_CDPOP
Downloaded 28 times
Description 2) Gentle spatial selection gradient (‘gentle’): Here, we used a ‘gentle’ spatial selection gradient corresponding to the three river color locations. For AA, we used the relative fitness coefficients of 0.4, 0.3, and 0.2 for black, mixed, and white waters, respectively. For Aa, we implemented an opposite spatial selection gradient (relative fitness coefficients of 0.2, 0.3, and 0.4 for black, mixed, and white waters, respectively).
Download GentleSelection_CDPOP.zip (235.1 Mb)
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Title SteepSelection_CDPOP
Downloaded 30 times
Description 3) Steep spatial selection gradient (‘steep’): For this scenario, stronger spatial selection gradients were assigned to each genotype, with the relative fitness coefficients for AA of 1.0, 0.6, and 0.2 for black, mixed, and white waters, respectively. An opposite spatial selection gradient was implemented for aa (0.2, 0.6, and 1.0 for black, mixed, and white waters, respectively). Aa received a uniform selection gradient of 0.2 in all three scenarios.
Download SteepSelection_CDPOP.zip (233.8 Mb)
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Title BarrierRemove_HighMigration_CDPOP
Downloaded 6 times
Description Simulating Secondary Contact 1) We initially placed complete barriers on the riverscape to restrict movement of individuals to and from the three subgroups (Negro, Maderia, and Amazon). We then conducted an isolation-by-riverine distance simulation modeling experiment within each subgroup using a movement distance that considered the maximum extent of the riverscape (i.e., mimicking the spatial selection simulation parameters or high migration).
Download barrierremoveS3_long_1381430149.tar.gz (127.5 Mb)
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Title BarrierRemove_LowMigration_CDPOP
Downloaded 10 times
Description Simulating Secondary Contact 1) We initially placed complete barriers on the riverscape to restrict movement of individuals to and from the three subgroups (Negro, Maderia, and Amazon). We then conducted an isolation-by-riverine distance simulation modeling experiment within each subgroup using a movement distance that considered nearest neighbor extent of the riverscape (i.e., low migration). For the low migration scenario, offspring dispersed to locations nearer to their birth location with probability based on the inverse-square of distance and a restricted threshold of 200 km, which reduced the occasional long-range dispersers as in the high migration scenarios.
Download barrierremove_2ALL_NN_1377816908.tar.gz (120.6 Mb)
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When using this data, please cite the original publication:

Cooke GM, Landguth EL, Beheregaray LB (2014) Riverscape genetics identifies replicated ecological divergence across an Amazonian ecotone. Evolution 68(7): 1947-1960. http://dx.doi.org/10.1111/evo.12410

Additionally, please cite the Dryad data package:

Cooke GM, Landguth EL, Beheregaray LB (2014) Data from: Riverscape genetics identifies replicated ecological divergence across an Amazonian ecotone. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.7h9f4
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