Genetic structure of restored Brook Trout populations in the Southern Appalachian Mountains indicates successful reintroductions

Conservation Genetics
By: , and 

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Abstract

Wildlife reintroduction is an important conservation tool for threatened species, yet identifying appropriate source populations poses a challenge. In particular, the possibility of outbreeding depression is cited as a constraint limiting the range of candidate source populations for translocation. When multiple source lineages are mixed during reintroduction, genetic monitoring is necessary to evaluate whether sources contribute equally to subsequent generations and whether they are interbreeding as expected. Moreover, statistical analysis of genetic data should account for complex life histories that might affect the timescale of admixture and genetic drift. Here, we use samples collected over a 23-year period and a stochastic age-structured model to analyze the genetic mixing process in reintroduced Brook Trout (Salvelinus fontinalis) populations in the Southern Appalachians. Each restored population was seeded with two to three source populations. Previous research inferred reproductive isolation between source populations leading to a proposal of splitting the species into multiple taxa. In contrast, we found patterns of ancestry that were consistent with random mating and no advantage for one source lineage over any other. Brook Trout from different source streams are mixing as expected in the restoration sites. This result does not support the hypothesis that Brook Trout in the Southern Appalachian Mountains includes several distinct species. Mixing different sources from the same watershed seems to be an effective way to increase genetic diversity of reintroduced populations while minimizing risk to source populations.

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Publication type Article
Publication Subtype Journal Article
Title Genetic structure of restored Brook Trout populations in the Southern Appalachian Mountains indicates successful reintroductions
Series title Conservation Genetics
DOI 10.1007/s10592-024-01620-y
Volume 25
Year Published 2024
Language English
Publisher Springer
Contributing office(s) Eastern Ecological Science Center
Description 14 p.
First page 1007
Last page 1020
Country United States
State North Carolina, Tennessee
Other Geospatial Great Smoky Mountains National Park
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