Genetic panmixia and demographic dependence across the North Atlantic in the deep-sea fish, blue hake (Antimora rostrata)

White, Thomas A.; Fotherby, Heather; Stephens, Philip A.; Hoelzel, A. Rus

doi:10.1038/hdy.2010.108

Cited by 41 publications

(24 citation statements)

References 52 publications

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“…18% endemism amongst holothurians appears to be well founded, the fact that the best known taxon, the fishes, shows zero endemism may be more informative. Indeed population genetic studies on some deep demersal fish species suggest that the MAR is not a barrier to gene flow; roundnose grenadier ( Coryphaenoides rupestris )[53] showed only slight intra-specific differentiation from the ocean margins [54] and in blue hake ( Antimora rostrata ) there was no differentiation [55]. Analysis of species occurrences shows a clear bias towards closer similarity to the eastern Atlantic margin (Figure 13).…”

Section: Discussionmentioning

confidence: 99%

Does Presence of a Mid-Ocean Ridge Enhance Biomass and Biodiversity?

et al. 2013

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In contrast to generally sparse biological communities in open-ocean settings, seamounts and ridges are perceived as areas of elevated productivity and biodiversity capable of supporting commercial fisheries. We investigated the origin of this apparent biological enhancement over a segment of the North Mid-Atlantic Ridge (MAR) using sonar, corers, trawls, traps, and a remotely operated vehicle to survey habitat, biomass, and biodiversity. Satellite remote sensing provided information on flow patterns, thermal fronts, and primary production, while sediment traps measured export flux during 2007–2010. The MAR, 3,704,404 km2 in area, accounts for 44.7% lower bathyal habitat (800–3500 m depth) in the North Atlantic and is dominated by fine soft sediment substrate (95% of area) on a series of flat terraces with intervening slopes either side of the ridge axis contributing to habitat heterogeneity. The MAR fauna comprises mainly species known from continental margins with no evidence of greater biodiversity. Primary production and export flux over the MAR were not enhanced compared with a nearby reference station over the Porcupine Abyssal Plain. Biomasses of benthic macrofauna and megafauna were similar to global averages at the same depths totalling an estimated 258.9 kt C over the entire lower bathyal north MAR. A hypothetical flat plain at 3500 m depth in place of the MAR would contain 85.6 kt C, implying an increase of 173.3 kt C attributable to the presence of the Ridge. This is approximately equal to 167 kt C of estimated pelagic biomass displaced by the volume of the MAR. There is no enhancement of biological productivity over the MAR; oceanic bathypelagic species are replaced by benthic fauna otherwise unable to survive in the mid ocean. We propose that globally sea floor elevation has no effect on deep sea biomass; pelagic plus benthic biomass is constant within a given surface productivity regime.

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Section: Discussionmentioning

confidence: 99%

Does Presence of a Mid-Ocean Ridge Enhance Biomass and Biodiversity?

et al. 2013

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“…Indeed, genetic connectivity may be reached at migration rates much lower than those leading to demographic connectivity among areas (Lowe & Allendorf, 2010;Ovenden, 2013;Palsbøll et al, 2007). However, in cases where effective populations sizes are ~1,000s, as in blue sharks, the levels of genetic divergence associated with migration rates which could lead to demographic connectivity (~10%; Hastings, 1993) may be difficult to detect using traditional molecular markers and moderate to large samples sizes (~50-500 individuals per population; e.g., White, Fotherby, Stephens, & Hoelzel, 2010; this study).…”

Section: Management Considerationsmentioning

confidence: 99%

World without borders—genetic population structure of a highly migratory marine predator, the blue shark (Prionace glauca)

Veríssimo

Sampaio²,

McDowell

et al. 2017

Ecology and Evolution

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Highly migratory, cosmopolitan oceanic sharks often exhibit complex movement patterns influenced by ontogeny, reproduction, and feeding. These elusive species are particularly challenging to population genetic studies, as representative samples suitable for inferring genetic structure are difficult to obtain. Our study provides insights into the genetic population structure one of the most abundant and wide‐ranging oceanic shark species, the blue shark Prionace glauca, by sampling the least mobile component of the populations, i.e., young‐of‐year and small juveniles (<2 year; N = 348 individuals), at three reported nursery areas, namely, western Iberia, Azores, and South Africa. Samples were collected in two different time periods (2002–2008 and 2012–2015) and were screened at 12 nuclear microsatellites and at a 899‐bp fragment of the mitochondrial control region. Our results show temporally stable genetic homogeneity among the three Atlantic nurseries at both nuclear and mitochondrial markers, suggesting basin‐wide panmixia. In addition, comparison of mtDNA CR sequences from Atlantic and Indo‐Pacific locations also indicated genetic homogeneity and unrestricted female‐mediated gene flow between ocean basins. These results are discussed in light of the species' life history and ecology, but suggest that blue shark populations may be connected by gene flow at the global scale. The implications of the present findings to the management of this important fisheries resource are also discussed.

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“…In marine organisms, assessment of population structuring and delineation of management units is challenging because these organisms typically have a large potential for dispersal and wide, seemingly continuous distributions (B erub e et al 1998;Iacchei et al 2013;Wallace et al 2010;White et al 2011). This is particularly true for many marine mammals (e.g.…”

Section: Introductionmentioning

confidence: 99%

Integrating genetic data and population viability analyses for the identification of harbour seal (Phoca vitulina) populations and management units

et al. 2014

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Identification of populations and management units is an essential step in the study of natural systems. Still, there is limited consensus regarding how to define populations and management units, and whether genetic methods allow for inference at the relevant spatial and temporal scale. Here, we present a novel approach, integrating genetic, life history and demographic data to identify populations and management units in southern Scandinavian harbour seals. First, 15 microsatellite markers and model- and distance-based genetic clustering methods were used to determine the population genetic structure in harbour seals. Second, we used harbour seal demographic and life history data to conduct population viability analyses (PVAs) in the vortex simulation model in order to determine whether the inferred genetic units could be classified as management units according to Lowe and Allendorf's (Molecular Ecology, 19, 2010, 3038) 'population viability criterion' for demographic independence. The genetic analyses revealed fine-scale population structuring in southern Scandinavian harbour seals and pointed to the existence of several genetic units. The PVAs indicated that the census population size of each of these genetic units was sufficiently large for long-term population viability, and hence that the units could be classified as demographically independent management units. Our study suggests that population genetic inference can offer the same degree of temporal and spatial resolution as 'nongenetic' methods and that the combined use of genetic data and PVAs constitutes a promising approach for delineating populations and management units.

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Genetic panmixia and demographic dependence across the North Atlantic in the deep-sea fish, blue hake (Antimora rostrata)

Cited by 41 publications

References 52 publications

Does Presence of a Mid-Ocean Ridge Enhance Biomass and Biodiversity?

Does Presence of a Mid-Ocean Ridge Enhance Biomass and Biodiversity?

World without borders—genetic population structure of a highly migratory marine predator, the blue shark (Prionace glauca)

Integrating genetic data and population viability analyses for the identification of harbour seal (Phoca vitulina) populations and management units

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