Whole mitochondrial genome sequencing identifies unique haplotype diversity and a lack of fine-scale genetic structure: a case study in the vulnerable estuarine turtle Malaclemys terrapin
Weaver, S.; Schwartz, T. S.; Gross, I. P.; Wibbels, T.; Wolak, M.
Show abstract
A central goal when assessing patterns of population structure for conservation is to identify populations with unique genetic compositions. The use of genomic sequencing to identify distinct populations has become an increasingly popular method of delineating conservation units. Reduced costs associated with sequencing make it possible to generate larger, more informative datasets to assess genetic diversity within and among populations. In species that exhibit nest-site philopatry, genetic population structure can emerge on much finer scales, particularly in maternally inherited mitochondrial genomes. We demonstrate the feasibility and insight gained by using whole mitochondrial genome sequencing for evaluating population genetic structure and comparing to previous single marker studies in a vulnerable turtle. We used whole mitochondrial genome sequences from diamond-backed terrapin (Malaclemys terrapin) to evaluate whether nest-site philopatry generates fine-scale genetic structure among M. terrapin nesting beaches in western Mobile Bay (Alabama, USA). We then compared haplotype diversity between the Alabama population and M. terrapin populations from the Atlantic and Gulf coasts and evaluated the utility of using whole mitochondrial genomes rather than a subset of loci to characterize unique haplotypic diversity. We found no genetic structure associated with nest-site philopatry within Alabama, but none of the haplotypes in this region were shared with other Gulf Coast sites. This genetic structure is consistent with strong female natal philopatry within western Mobile Bay relative to the Gulf of Mexico and suggests that the Mobile Bay population is genetically unique relative to other M. terrapin populations and merits a unique conservation and management plan.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Extensive admixture among karst-obligate salamandersreveals evidence of recent divergence and gene exchangethrough aquifers 95%
- Low-coverage reduced representation sequencing reveals subtle within-island genetic structure in Aldabra giant tortoises 94%
- Harbor porpoise losing its edges: genetic time series suggests a rapid population decline in Iberian waters over the last 30 years 94%
Similar papers in this journal
Similar papers in this journal
- Conservation genomics reveals low genetic diversity and multiple parentage in the threatened freshwater mussel, Margaritifera hembeli 96%
- Characterizing population structure and documenting rapid loss of genetic diversity in Chiricahua Leopard Frogs (Lithobates chiricahuensis) with high throughput microsatellite genotyping 95%
- Genomic diversity in felids correlates with range and density, not census size 93%
Similar papers in this journal
- Genomic stock structure of the marine teleost tarakihi (Nemadactylus macropterus) provides evidence of fine-scale adaptation and a temperature-associated cline amid panmixia 94%
- Sexually distinct song cultures in a songbird metapopulation 92%
- Blue appendages and temperature acclimation increase survival during acute heat stress in the upside-down jellyfish, Cassiopea xamachana 91%
Similar papers in this journal
- Mitochondrial structure despite nuclear panmixia: sex-specific dispersal dictates population structure in sperm whales 95%
- Population genetics reveals divergent lineages and ongoing hybridization in a declining migratory fish species complex 94%
- More than meets the eye: syntopic and morphologically similar mangrove killifish species show different mating systems and patterns of genetic structure along the Brazilian coast 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.