ArticleGenome biology and evolution2019
Sea Turtle Population Genomic Discovery: Global and Locus-Specific Signatures of Polymorphism, Selection, and Adaptive Potential.
Article in Genome biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The genomic basis of independent marine transitions in turtles: convergent episodic adaptation and demographic shifts.Molecular biology and evolution · 2026Article
- Chromosome-level genome assembly and methylome profile yield insights for the conservation of endangered loggerhead sea turtles.GigaScience · 2025Article
- The first high-quality chromosome-level genome of Eretmochelys imbricata using HiFi and Hi-C data.Scientific data · 2023Article
- Tissue and Temperature-Specific RNA-Seq Analysis Reveals Genomic Versatility and Adaptive Potential in Wild Sea Turtle Hatchlings (Animals : an open access journal from MDPI · 2021Article
- Green, yellow or black? Genetic differentiation and adaptation signatures in a highly migratory marine turtle.Proceedings. Biological sciences · 2021Article
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Authors and funding
3 authors.
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Abstract
In the era of genomics, single-nucleotide polymorphisms (SNPs) have become a preferred molecular marker to study signatures of selection and population structure and to enable improved population monitoring and conservation of vulnerable populations. We apply a SNP calling pipeline to assess population differentiation, visualize linkage disequilibrium, and identify loci with sex-specific genotypes of 45 loggerhead sea turtles (Caretta caretta) sampled from the southeastern coast of the United States, including 42 individuals experimentally confirmed for gonadal sex. By performing reference-based SNP calling in independent runs of Stacks, 3,901-6,998 SNPs and up to 30 potentially sex-specific genotypes were identified. Up to 68 pairs of loci were found to be in complete linkage disequilibrium, potentially indicating regions of natural selection and adaptive evolution. This study provides a valuable SNP diagnostic workflow and a large body of new biomarkers for guiding targeted studies of sea turtle genome evolution and for managing legally protected nonmodel iconic species that have high economic and ecological importance but limited genomic resources.
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