Using population genetics and demographic reconstruction to predict outcomes of genetic rescue for an endangered songbird

Liu, Irene A.; López-Ortiz, Ricardo; Ramos-Álvarez, K R; Medina-Miranda, Roseanne

doi:10.1007/s10592-018-1050-2

Cited by 1 publication

(1 citation statement)

References 38 publications

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“…Genetic diversity indices such as expected and observed heterozygosity ( H E and H O, respectively), number of alleles (Na), fixation index (F), diversity information index (I) to standardize diversity, unbiased expected heterozygosity ( uH E ) accounting for sample size, and Analyses of Molecular Variance (AMOVAs) were computed using genalex 6.5 (Peakall & Smouse, 2006). To test for differences in diversity metrics among sampling locations, we used a bootstrapping method that estimates measures of genetic diversity and accounts for influences of population size by resampling the data at different population sizes (Liu et al, 2015, 2018). We ran analyses with 1,000 replicates and considered sample sizes of 26, 27, and 28.…”

Section: Methodsmentioning

confidence: 99%

Translocations maintain genetic diversity and increase connectivity in sea otters, Enhydra lutris

Larson

Gagne

Bodkin

et al. 2021

Marine Mammal Science

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Sea otters, Enhydra lutris, were once abundant along the nearshore areas of the North Pacific. The international maritime fur trade that ended in 1911 left 13 small remnant populations with low genetic diversity. Subsequent translocations into previously occupied habitat resulted in several reintroduced populations along the coast of North America. We sampled sea otters between 2008 and 2011 throughout much of their current range and used 19 nuclear microsatellite markers to evaluate genetic diversity, population structure, and connectivity between remnant and reintroduced populations. Average genetic diversity within populations was similar: observed heterozygosity 0.55 and 0.53, expected heterozygosity 0.56 and 0.52, unbiased expected heterozygosity 0.57 and 0.52, for reintroduced and remnant populations, respectively. Sea otter population structure was greatest between the Northern and Southern sea otters with further structuring in Northern sea otters into Western, Central, and Southeast populations (including the reintroduced populations). Migrant analyses suggest the successful reintroductions and growth of remnant groups have enhanced connectivity and gene flow between populations throughout many of the sampled Northern populations. We recommend that future management actions for the Southern sea otter focus on future reintroductions to fill the gap between the California and Washington populations ultimately restoring gene flow to the isolated California population.

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Section: Methodsmentioning

confidence: 99%