Accounting for kin sampling reveals genetic connectivity in Tasmanian and New Zealand school sharks, <i>Galeorhinus galeus</i>

Devloo‐Delva, Floriaan; Maes, Grégory E.; Hernández, Sebastián; McAllister, Jaime D.; Gunasekera, Rasanthi M.; Grewe, Peter M.; Thomson, Robin B.; Feutry, Pierre

doi:10.1002/ece3.5012

Cited by 15 publications

(11 citation statements)

References 42 publications

(90 reference statements)

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“…School shark ( Galeorhinus galeus , Triakidae—Figure 2f) displayed movements along the lower east coast of Australia. While this pattern is not inconsistent with the single genetic stock (Devloo‐Delva et al., 2019—Table 1), the lack of detections to the west where much of the adult stock resides could indicate the existence of more than one stock based on movement. However, the return of acoustic tags that were not detected on existing acoustic receivers from commercial fisheries from as far west as South Australia clearly indicates the species moved farther than acoustic tracking work suggested (McAllister et al., 2015; J. Semmens unpublished data).…”

Section: Resultsmentioning

confidence: 82%

Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure

et al. 2021

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Delineation of population structure (i.e. stocks) is crucial to successfully manage exploited species and to address conservation concerns for threatened species. Fish migration and associated movements are key mechanisms through which discrete populations mix and are thus important determinants of population structure. Detailed information on fish migration and movements is becoming more accessible through advances in telemetry and analysis methods however such information is not yet used systematically in stock structure assessment. Here, we described how detections of acoustically tagged fish across a continental‐scale array of underwater acoustic receivers were used to assess stock structure and connectivity in seven teleost and seven shark species and compared to findings from genetic and conventional tagging. Network analysis revealed previously unknown population connections in some species, and in others bolstered support for existing stock discrimination by identifying nodes and routes important for connectivity. Species with less variability in their movements required smaller sample sizes (45–50 individuals) to reveal useful stock structure information. Our study shows the power of continental‐scale acoustic telemetry networks to detect movements among fishery jurisdictions. We highlight methodological issues that need to be considered in the design of acoustic telemetry studies for investigating stock structure and the interpretation of the resulting data. The advent of broad‐scale acoustic telemetry networks across the globe provides new avenues to understand how movement informs population structure and can lead to improved management.

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Section: Resultsmentioning

confidence: 82%

Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure

et al. 2021

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“…This divergence may be reinforced through high relatedness within a small population and seasonal differences in parturition, which would also explain why we observed multiple genetic clusters within the Urauchi River. The sample size within Japan was too small to accurately estimate kinship; thus, family structure due to extremely small population size cannot be excluded (e.g., Devloo‐Delva et al, 2019 ; Feutry et al, 2017 ). Similarly, the Fiji population contains many related individuals (see Glaus et al, 2020 ), yet these were not removed from our analyses as they could signify an artifact of a small population size (Waples & Anderson, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

From rivers to ocean basins: The role of ocean barriers and philopatry in the genetic structuring of a cosmopolitan coastal predator

Devloo‐Delva

Burridge

Kyne

et al. 2023

Ecology and Evolution

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Understanding the population structure of a species and the barriers that disrupt dispersal is important to accurately assess the global conservation status and manage the risk of local extinction. This is especially true for species of commercial importance (Begg et al., 1999) or conservation concern (Moritz, 1994), which are impacted disproportionally by anthropogenic or environmental pressures. Dispersal

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“…Large numbers of related individuals can also inflate genetic population structure. For example, sampling at a single time point at a geographical location where individuals of a particular life stage aggregate increases the probability of capturing related individuals, which elevates the genetic difference to other locations even if individuals of other life stages mix and reproduce (Devloo‐Delva et al., 2019).…”

Section: Discussionmentioning

confidence: 99%

Barriers in a sea of elasmobranchs: Fromfishingfor populations to testing hypotheses in population genetics

Hirschfeld

Dudgeon

Sheaves

et al. 2021

Global Ecol. Biogeogr.

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Background:The interplay of animal dispersal and environmental heterogeneity is fundamental for the distribution of biodiversity on earth. In the ocean, the interaction of physical barriers and dispersal has primarily been examined for organisms with planktonic larvae. Animals that lack a planktonic life stage and depend on active dispersal are however likely to produce distinctive patterns. Methods:We used available literature on population genetics and phylogeography of elasmobranchs (sharks, rays and skates) to examine how marine barriers and dispersal ecology shape genetic connectivity in animals with active dispersal. We provide a global geographical overview of barriers extracted from the literature and synthesize the geographical and hydrological factors, spatial and temporal scales to characterize different types of barriers. The three most studied barriers were used to analyse the effect of elasmobranch dispersal potential and barrier type on genetic connectivity. Results:We characterized nine broad types of marine barriers, with the three most common barriers being related to ocean bathymetry. The maximum depth of occurrence, maximum body size and habitat of each species were used as proxies for dispersal potential, and were important predictors of genetic connectivity with varying effect depending on barrier type. Environmental tolerance and reproductive behaviour may also play a crucial role in population connectivity in animals with active dispersal. However, we find that studies commonly lack appropriate study designs based on a priori hypotheses to test the effect of physical barriers while accounting for animal behaviour. Main conclusions:Our synthesis highlights the relative contribution of different barrier types in shaping elasmobranch populations. We provide a new perspective on how barriers and dispersal ecology interact to rearrange genetic variation of marine animals with active dispersal. We illustrate methodological sources that can bias the detection of barriers and provide potential solutions for future research in the field.

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Accounting for kin sampling reveals genetic connectivity in Tasmanian and New Zealand school sharks, Galeorhinus galeus

Cited by 15 publications

References 42 publications

Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure

Continental‐scale acoustic telemetry and network analysis reveal new insights into stock structure

From rivers to ocean basins: The role of ocean barriers and philopatry in the genetic structuring of a cosmopolitan coastal predator

Barriers in a sea of elasmobranchs: Fromfishingfor populations to testing hypotheses in population genetics

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