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Non-random Mating Within an Island Rookery of Hawaiian Hawksbill Turtles: Demographic Discontinuity at a Small Coastline Scale

Overview
Journal R Soc Open Sci
Specialty Science
Date 2023 May 19
PMID 37206959
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Abstract

Hawksbill sea turtles () from the Hawaiian archipelago form a small and genetically isolated population, consisting of only a few tens of individuals breeding annually. Most females nest on the island of Hawai'i, but little is known about the demographics of this rookery. This study used genetic relatedness, inferred from 135 microhaplotype markers, to determine breeding sex-ratios, estimate female nesting frequency and assess relationships between individuals nesting on different beaches. Samples were collected during the 2017 nesting season and final data included 13 nesting females and 1002 unhatched embryos, salvaged from 41 nests, of which 13 had no observed mother. Results show that most females used a single nesting beach laying 1-5 nests each. From female and offspring alleles, the paternal genotypes of 12 breeding males were reconstructed and many showed high relatedness to their mates. Pairwise relatedness of offspring revealed one instance of polygyny but otherwise suggested a 1 : 1 breeding-sex ratio. Relatedness analysis and spatial-autocorrelation of genotypes indicate that turtles from different nesting areas do not regularly interbreed, suggesting that strong natal homing tendencies in both sexes result in non-random mating across the study area. Complexes of nearby nesting beaches also showed unique patterns of inbreeding across loci, further indicating that Hawaiian hawksbill turtles have demographically discontinuous nesting populations separated by only tens of km.

Citing Articles

Non-random mating within an Island rookery of Hawaiian hawksbill turtles: demographic discontinuity at a small coastline scale.

Horne J, Frey A, Gaos A, Martin S, Dutton P R Soc Open Sci. 2023; 10(5):221547.

PMID: 37206959 PMC: 10189603. DOI: 10.1098/rsos.221547.

References
1.
Garrison E, Kronenberg Z, Dawson E, Pedersen B, Prins P . A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar. PLoS Comput Biol. 2022; 18(5):e1009123. PMC: 9286226. DOI: 10.1371/journal.pcbi.1009123. View

2.
Walsh M, Munch S, Chiba S, Conover D . Maladaptive changes in multiple traits caused by fishing: impediments to population recovery. Ecol Lett. 2006; 9(2):142-8. DOI: 10.1111/j.1461-0248.2005.00858.x. View

3.
Catchen J, Hohenlohe P, Bassham S, Amores A, Cresko W . Stacks: an analysis tool set for population genomics. Mol Ecol. 2013; 22(11):3124-40. PMC: 3936987. DOI: 10.1111/mec.12354. View

4.
Pinsky M, Palumbi S . Meta-analysis reveals lower genetic diversity in overfished populations. Mol Ecol. 2013; 23(1):29-39. DOI: 10.1111/mec.12509. View

5.
Kalendar R, Khassenov B, Ramankulov Y, Samuilova O, Ivanov K . FastPCR: An in silico tool for fast primer and probe design and advanced sequence analysis. Genomics. 2017; 109(3-4):312-319. DOI: 10.1016/j.ygeno.2017.05.005. View