2017
DOI: 10.1002/ece3.3327
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Closely related octopus species show different spatial genetic structures in response to the Antarctic seascape

Abstract: Determining whether comparable processes drive genetic divergence among marine species is relevant to molecular ecologists and managers alike. Sympatric species with similar life histories might be expected to show comparable patterns of genetic differentiation and a consistent influence of environmental factors in shaping divergence. We used microsatellite loci to quantify genetic differentiation across the Scotia Arc in three species of closely related benthic octopods, Pareledone turqueti, P. charcoti, and … Show more

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Cited by 23 publications
(28 citation statements)
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References 79 publications
(136 reference statements)
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“…The deep open ocean surrounding insular habitats presents barriers to dispersal-driven population differentiation in octopuses [56]. We describe strong population structure along the northeastern Atlantic coast, except for samples from neighboring sites in the Macaronesia central core.…”
Section: Population Structurementioning
confidence: 77%
“…The deep open ocean surrounding insular habitats presents barriers to dispersal-driven population differentiation in octopuses [56]. We describe strong population structure along the northeastern Atlantic coast, except for samples from neighboring sites in the Macaronesia central core.…”
Section: Population Structurementioning
confidence: 77%
“…Connectivity patterns in G. antarctica indicate that the Magellanic zoogeographic province may include Shag Rocks, despite its location south of the Antarctic Convergence and proximity to South Georgia. Tests of population differentiation across the Antarctic Convergence show a strong genetic break between Shag Rocks and South Georgia for G. antarctica (Table , Figure ); Magellanic haplotypes are shared with Shag Rocks but no other Scotia Arc samples (Figures and ).Divergence between Shag Rocks and South Georgia was also recovered for the octopus Pareldone turqueti (Allcock, Brierley, Thorpe, & Rodhouse, ; Strugnell, Allcock, & Watts, ), and these authors initially proposed the deep water (maximum 1750 m) separating the sites as a strong barrier, limiting pelagic dispersal. However, other organisms with long pelagic stages have shown connectivity across this putative barrier, for example fish species Dissostichus eleginoides (Shaw, Arkhipkin, & Al‐Khairulla, ) and Champsocephalus gunnari (Kuhn & Gaffney, ), and the nemertean Parborlasia corrugatus , which has a long PLD and extended pelagicism after metamorphosis (Thornhill, Mahon, Norenburg, & Halanych, ).…”
Section: Discussionmentioning
confidence: 95%
“…Divergence between Shag Rocks and South Georgia was also recovered for the octopus Pareldone turqueti (Allcock, Brierley, Thorpe, & Rodhouse, 1997;Strugnell, Allcock, & Watts, 2017), and these authors initially proposed the deep water (maximum 1750 m) separating the sites as a strong barrier, limiting pelagic dispersal. However, other organisms with long pelagic stages have shown connectivity across this putative barrier, for example fish species Dissostichus eleginoides (Shaw, Arkhipkin, & Al-Khairulla, 2004) and Champsocephalus gunnari (Kuhn & Gaffney, 2006), and the nemertean Parborlasia corrugatus, which has a long PLD and extended pelagicism after metamorphosis (Thornhill, Mahon, Norenburg, & Halanych, 2008).…”
Section: The "Stepping-stones" Of the Scotia Arcmentioning
confidence: 97%
“…Genetic differentiation by depth, hypothesized to occur due to physiological gradients (see Rex and Etter, 2010) has been identified in other benthic deep-sea invertebrates apart from corals, including molluscs (Jennings et al, 2013, Strugnell et al, 2017, polychaetes (Schüller, 2011, Brasier et al, 2017 among others (reviewed in Morrison et al, 2017 andRoterman, 2017). Noting the relatively wide depth band of their lower bathyal, Watling et al (2013) acknowledged a potential need for further subdivision by depth in some oceans and this appears to be supported by available molecular data.…”
Section: Introductionmentioning
confidence: 88%