Patterns of Contemporary Genetic Variation and Effective Population Size in Blanding's Turtle Populations

Adequate genetic variation in a population is fundamental to reducing the risk of inbreeding depression in the short term and maintaining its ability to respond to evolutionary forces over the long term. There are now several studies that use microsatellite loci to assess genetic variation within populations across the geographic range of Emydoidea blandingii (Blanding's Turtle), but direct comparisons among studies have not been conducted. We present estimates of allelic richness (A) and expected heterozygosity (HE) from 59 localities across much of the species'geographic range and compare them using a resampling method that calibrates values relative to a reference population to account for different sample sizes and microsatellite panels. We further compared these measures between 2 datasets, from the midwestern US and from the northeastern US, that were made compatible using a sample of re-genotyped individuals. In both cases, we found lower A and HE in the northeastern localities. We also developed a sensitivity analysis of effective population size (Ne) estimation with the linkage disequilibrium method (NeLD) that used a well-sampled population modelled in the program ‘NeOGen’ to explore the effects of adult population size (Nc), sample size, and locus number while accounting for overlapping generations, life history, and demography. We find that it is possible to estimate Ne with accuracy and precision in populations with Nc < 400 when sample size is ∼25% of adult population size and ≥11 microsatellite loci are used. With this benchmark, we then estimated NeLD in 7 localities using single-sample linkage disequilibrium in NeEstimator, a method that does not account for overlapping generations, demography, and life history but is more accessible for users. This approach overestimated NeLD by ∼37%. Collectively, our analyses of genetic variation within populations facilitate assessment of population status and resiliency in Blanding's Turtles by demonstrating the range of genetic variation across a large number of populations and developing a baseline for the estimation of effective population size in natural populations.

Authors

Institutions

Publication Details

Journal
Northeastern Naturalist
Published
2024-09-05
DOI
https://doi.org/10.1656/045.031.s1230
Citations
3
Primary Topic
Turtle Biology and Conservation
Type
article
Field-Weighted Citation Impact
2.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patterns of Contemporary Genetic Variation and Effective Population Size in Blanding's Turtle Populations

Gregory J. Lipps, Whitney J. B. Anthonysamy, Judith M. Rhymer, Christina M. Davy et al.
3 citations
Northeastern Naturalist
Turtle Biology and Conservation
2.07
article

Patterns of Contemporary Genetic Variation and Effective Population Size in Blanding's Turtle Populations

Gregory J. Lipps, Whitney J. B. Anthonysamy, Judith M. Rhymer, Christina M. Davy, Yu Man Lee, Bruce A Kingsbury, Michael Marchand, Matthew D. Cross, Brendan N. Reid, Jonathan D. Mays, Mark A. Jordan, Michael T. Jones, Lisabeth L. Willey, Lori Erb, Daniel Guinto, Glenn Johnson
article en
3 citations

Abstract

Adequate genetic variation in a population is fundamental to reducing the risk of inbreeding depression in the short term and maintaining its ability to respond to evolutionary forces over the long term. There are now several studies that use microsatellite loci to assess genetic variation within populations across the geographic range of Emydoidea blandingii (Blanding's Turtle), but direct comparisons among studies have not been conducted. We present estimates of allelic richness (A) and expected heterozygosity (HE) from 59 localities across much of the species'geographic range and compare them using a resampling method that calibrates values relative to a reference population to account for different sample sizes and microsatellite panels. We further compared these measures between 2 datasets, from the midwestern US and from the northeastern US, that were made compatible using a sample of re-genotyped individuals. In both cases, we found lower A and HE in the northeastern localities. We also developed a sensitivity analysis of effective population size (Ne) estimation with the linkage disequilibrium method (NeLD) that used a well-sampled population modelled in the program ‘NeOGen’ to explore the effects of adult population size (Nc), sample size, and locus number while accounting for overlapping generations, life history, and demography. We find that it is possible to estimate Ne with accuracy and precision in populations with Nc < 400 when sample size is ∼25% of adult population size and ≥11 microsatellite loci are used. With this benchmark, we then estimated NeLD in 7 localities using single-sample linkage disequilibrium in NeEstimator, a method that does not account for overlapping generations, demography, and life history but is more accessible for users. This approach overestimated NeLD by ∼37%. Collectively, our analyses of genetic variation within populations facilitate assessment of population status and resiliency in Blanding's Turtles by demonstrating the range of genetic variation across a large number of populations and developing a baseline for the estimation of effective population size in natural populations.

Northeastern NaturalistVol. 31(sp12)
University of Health Sciences and Pharmacy (US), Carleton University (CA), University of Maine (US)
Openalex Percentile: Top 14%
Turtle Biology and Conservation
2.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.