10.5061/DRYAD.NF8GF
Converse, Paul E.
Ohio University
Kuchta, Shawn R.
Ohio University
Roosenburg, Willem M.
Ohio University
Henry, Paula F.P.
United States Geological Survey
King, Tim L.
United States Geological Survey
Haramis, G. Michael
United States Geological Survey
Henry, Paula F. P.
United States Geological Survey
Data from: Spatiotemporal analysis of gene flow in Chesapeake Bay
Diamondback Terrapins (Malaclemys terrapin)
Dryad
dataset
2015
Reptiles
translocation
metapopulation
contemporary gene flow
population admixture
historical gene flow
2015-10-29T16:01:36Z
2015-10-29T16:01:36Z
en
https://doi.org/10.1111/mec.13440
544276 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
There is widespread concern regarding the impacts of anthropogenic
activities on connectivity among populations of plants and animals, and
understanding how contemporary and historical processes shape
metapopulation dynamics is crucial for setting appropriate conservation
targets. We used genetic data to identify population clusters and quantify
gene flow over historical and contemporary time frames in the Diamondback
Terrapin (Malaclemys terrapin). This species has a long and complicated
history with humans, including commercial over-harvesting and subsequent
translocation events during the early twentieth century. Today, terrapins
face threats from habitat loss and mortality in fisheries bycatch. To
evaluate population structure and gene flow among Diamondback Terrapin
populations in the Chesapeake Bay region, we sampled 617 individuals from
15 localities, and screened individuals at 12 polymorphic microsatellite
loci. Our goals were to demarcate metapopulation structure, quantify
genetic diversity, estimate effective population sizes, and document
temporal changes in gene flow. We found that terrapins in the Chesapeake
Bay region harbor high levels of genetic diversity and form four
populations. Effective population sizes were variable. Among most
population comparisons, estimates of historical and contemporary terrapin
gene flow were generally low (m ≈ 0.01). However, we detected a
substantial increase in contemporary gene flow into Chesapeake Bay from
populations outside the bay, as well as between two populations within
Chesapeake Bay, possibly as a consequence of translocations during the
early twentieth century. Our study shows that inferences across multiple
time scales are needed to evaluate population connectivity, especially as
recent changes may identify threats to population persistence.
Microsatellite Data.xlsx file containing genotypes for all surveyed
individuals.TerpRawData.xlsxTerrapin GenepopGenepop input file containing
all loci and individuals used for analysis.TerpGenePop.txtTerrapin
Structure FileInput file for STRUCTURE analyses.TerpStructure.txtTerrapin
Migrate-n FileInput file for MIGRATE analyses.TerpMigrate-n.txtTerrapin
BayesassInput file for BAYESASS analysesTerpBayesass.txtTerrapin Len
FileInput file (.len) for analysis in popABCTerpLen.lenTerrapin Summary
StatisticsInput file (.sst) used for analysis in
popABC.TerpSST.sstTerrapin ABC PriorsInput file (.prs) used for analysis
in popABC.MuPriors.prsMode R ScriptAn R script (written by Joao Lopes)
used to determine the mode, 2.5 and 97.5% for parameters estimated in
popABC.get_modes.r∆m, m, and m(h) Matrices.xlsx file containing matrices
for ∆m, m, and m(h).BA3-MigrateMatrix.xlsx
Coastal mid-Atlantic
Chesapeake Bay