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- W2020120030 abstract "Conservation genetics is a powerful tool to assess the population structure of species and provides a framework for informing management of freshwater ecosystems. As lotic habitats become fragmented, the need to assess gene flow for species of conservation management becomes a priority. The eastern hellbender (Cryptobranchus alleganiensis alleganiensis) is a large, fully aquatic paedamorphic salamander. Many populations are experiencing declines throughout their geographic range, yet the genetic ramifications of these declines are currently unknown. To this end, we examined levels of genetic variation and genetic structure at both range-wide and drainage (hierarchical) scales. We collected 1,203 individuals from 77 rivers throughout nine states from June 2007 to August 2011. Levels of genetic diversity were relatively high among all sampling locations. We detected significant genetic structure across populations (Fst values ranged from 0.001 between rivers within a single watershed to 0.218 between states). We identified two genetically differentiated groups at the range-wide scale: 1) the Ohio River drainage and 2) the Tennessee River drainage. An analysis of molecular variance (AMOVA) based on landscape-scale sampling of basins within the Tennessee River drainage revealed the majority of genetic variation (∼94-98%) occurs within rivers. Eastern hellbenders show a strong pattern of isolation by stream distance (IBSD) at the drainage level. Understanding levels of genetic variation and differentiation at multiple spatial and biological scales will enable natural resource managers to make more informed decisions and plan effective conservation strategies for cryptic, lotic species." @default.
- W2020120030 created "2016-06-24" @default.
- W2020120030 creator A5001960125 @default.
- W2020120030 creator A5036377584 @default.
- W2020120030 creator A5056061970 @default.
- W2020120030 creator A5072787113 @default.
- W2020120030 date "2013-10-18" @default.
- W2020120030 modified "2023-10-11" @default.
- W2020120030 title "Population Genetics of the Eastern Hellbender (Cryptobranchus alleganiensis alleganiensis) across Multiple Spatial Scales" @default.
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- W2020120030 cites W1985901075 @default.
- W2020120030 cites W1990337934 @default.
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- W2020120030 doi "https://doi.org/10.1371/journal.pone.0074180" @default.
- W2020120030 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3800131" @default.
- W2020120030 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24204565" @default.
- W2020120030 hasPublicationYear "2013" @default.
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