An Aggregation of Copperheads, Agkistrodon contortrix

Barbour, Roger W.

doi:10.2307/1441192

Cited by 3 publications

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“…We sought to understand the impact of recent and major landscape changes on the population structure of the copperhead ( Agkistrodon contortrix ), an abundant snake in eastern Kentucky (Barbour, ) generally not capable of long‐distance (>1 km) individual movements (Sutton, Wang, Schweitzer, & McClure, ). Copperheads rely on rocky overwintering hibernacula located high on steep‐sided and often south‐facing slopes (Maigret & Cox, ), sites disproportionately destroyed by surface mining (Maigret et al, ).…”

Section: Introductionmentioning

confidence: 99%

A spatial genomic approach identifies time lags and historical barriers to gene flow in a rapidly fragmenting Appalachian landscape

2020

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The resolution offered by genomic data sets coupled with recently developed spatially informed analyses are allowing researchers to quantify population structure at increasingly fine temporal and spatial scales. However, both empirical research and conservation measures have been limited by questions regarding the impacts of data set size, data quality thresholds and the timescale at which barriers to gene flow become detectable. Here, we used restriction site associated DNA sequencing to generate a 2,140 single nucleotide polymorphism (SNP) data set for the copperhead snake (Agkistrodon contortrix) and address the population genomic impacts of recent and widespread landscape modification across an ~1,000‐km2 region of eastern Kentucky, USA. Nonspatial population‐based assignment and clustering methods supported little to no population structure. However, using individual‐based spatial autocorrelation approaches we found evidence for genetic structuring which closely follows the path of a historically important highway which experienced high traffic volumes from c. 1920 to 1970 before losing most traffic to a newly constructed alternative route. We found no similar spatial genomic signatures associated with more recently constructed highways or surface mining activity, although a time lag effect may be responsible for the lack of any emergent spatial genetic patterns. Subsampling of our SNP data set suggested that similar results could be obtained with as few as 250 SNPs, and a range of thresholds for missing data exhibited limited impacts on the spatial patterns we detected. While we were not able to estimate relative effects of land uses or precise time lags, our findings highlight the importance of temporal factors in landscape genetics approaches, and suggest the potential advantages of genomic data sets and fine‐scale, spatially informed approaches for quantifying subtle genetic patterns in temporally complex landscapes.

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Section: Introductionmentioning

confidence: 99%

A spatial genomic approach identifies time lags and historical barriers to gene flow in a rapidly fragmenting Appalachian landscape

2020

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A spatial genomic approach identifies time lags and historic barriers to gene flow in a rapidly fragmenting Appalachian landscape

Maigret

Cox

Weisrock

2019

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The resolution offered by genomic data sets coupled with recently developed spatially 12 informed analyses are allowing researchers to quantify population structure at increasingly fine 13 temporal and spatial scales. However, uncertainties regarding data set size and quality thresholds 14 and the time scale at which barriers to gene flow become detectable have limited both empirical 15 research and conservation measures. Here, we used restriction site associated DNA sequencing 16 to generate a large SNP data set for the copperhead snake (Agkistrodon contortrix) and address 17 the population genomic impacts of recent and widespread landscape modification across an 18 approximately 1000 km 2 region of eastern Kentucky. Nonspatial population-based assignment 19 and clustering methods supported little to no population structure. However, using individual-20 based spatial autocorrelation approaches we found evidence for genetic structuring which closely 21 follows the path of a historic highway which experienced high traffic volumes from ca. 1920 to 22 1970. We found no similar spatial genomic signatures associated with more recently constructed 23 31

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Landscape Ecology and Population Genomics of Two Sympatric Pitviper Species Across a Fragmented Appalachian Landscape

Maigret¹

2020

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An Aggregation of Copperheads, Agkistrodon contortrix

Cited by 3 publications

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A spatial genomic approach identifies time lags and historical barriers to gene flow in a rapidly fragmenting Appalachian landscape

A spatial genomic approach identifies time lags and historical barriers to gene flow in a rapidly fragmenting Appalachian landscape

A spatial genomic approach identifies time lags and historic barriers to gene flow in a rapidly fragmenting Appalachian landscape

Landscape Ecology and Population Genomics of Two Sympatric Pitviper Species Across a Fragmented Appalachian Landscape

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