Abstract

Next‐generation reduced representation sequencing (RRS) approaches show great potential for resolving the structure of wild populations. However, the population structure of species that have shown rapid demographic recovery following severe population bottlenecks may still prove difficult to resolve due to high gene flow between subpopulations. Here, we tested the effectiveness of the RRS method Genotyping‐By‐Sequencing (GBS) for describing the population structure of the New Zealand fur seal (NZFS, Arctocephalus forsteri), a species that was heavily exploited by the 19th century commercial sealing industry and has since rapidly recolonized most of its former range from a few isolated colonies. Using 26,026 neutral single nucleotide polymorphisms (SNPs), we assessed genetic variation within and between NZFS colonies. We identified low levels of population differentiation across the species range (<1% of variation explained by regional differences) suggesting a state of near panmixia. Nonetheless, we observed subtle population substructure between West Coast and Southern East Coast colonies and a weak, but significant (p = 0.01), isolation‐by‐distance pattern among the eight colonies studied. Furthermore, our demographic reconstructions supported severe bottlenecks with potential 10‐fold and 250‐fold declines in response to Polynesian and European hunting, respectively. Finally, we were able to assign individuals treated as unknowns to their regions of origin with high confidence (96%) using our SNP data. Our results indicate that while it may be difficult to detect population structure in species that have experienced rapid recovery, next‐generation markers and methods are powerful tools for resolving fine‐scale structure and informing conservation and management efforts.

Highlights

  • Population genetic analyses have become an integral part of conservation studies

  • Three main clusters were defined based on previous NZFS genetic studies (Dussex et al, 2016; Salis et al, 2016) as well as the results presented here: NZ-­North-­West (OBI: Open Bay Island; CF: Cape Foulwind; WP: Wekakura Point), NZ-­North-­East (CP: Cape Palliser; OP: Ohau Point), previously identified as a zone of admixture (Dussex et al, 2016) and NZ-­South (East Coast to south coast colonies; HB: Horseshoe Bay; VB: Victory Beach; NP: Nugget Point) (Figure 1)

  • Assignment power was estimated by calculating the proportion of pups that were correctly assigned to their colony or cluster of origin using (a) the entire dataset of 26,026 single nucleotide polymorphisms (SNPs), (b) the subset of 5,000 randomly selected SNPs, and (c) the loci identified as outliers in LOSITAN and Bayescan 2.0

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Summary

| INTRODUCTION

Population genetic analyses have become an integral part of conservation studies. These analyses allow the quantification of parameters relevant to endangered populations such as genetic diversity, effective population sizes, gene flow and the inference of past population histories (Beaumont, Zhang, & Balding 2002; Lopes & Boessenkool, 2010). Since implementation of regulations in the late 19th century and the official cessation of commercial sealing in 1946 (Sorensen, 1969), the NZFS has rapidly recolonized much of its former range, and has re-­established breeding colonies in the South Island of New Zealand (Baird, 2011; Bradshaw, Lalas, & Thompson, 2000; Crawley & Wilson, 1976). The possibility of sexual segregation and niche divergence as seen in the country’s other native pinniped, the New Zealand sea lion (Phocarctos hookeri) (Leung, Chilvers, Nakagawa, Moore, & Robertson, 2012), could result in sex-­ biased mortality which would negatively impact population dynamics This means that in spite of an overall trend in steady growth, these effects may negatively affect colony viability. We hypothesize that the SNPs presented here will outperform previously used microsatellite markers and produce more confident assignment probabilities

| MATERIALS AND METHODS
| DISCUSSION
| CONCLUSION
Findings
CONFLICT OF INTEREST
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