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      Distinct genetic differentiation and species diversification within two marine nematodes with different habitat preference in Antarctic sediments

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          Abstract

          Background

          Dispersal ability, population genetic structure and species divergence in marine nematodes are still poorly understood, especially in remote areas such as the Southern Ocean. We investigated genetic differentiation of species and populations of the free-living endobenthic nematode genera Sabatieria and Desmodora using nuclear 18S rDNA, internal transcribed spacer (ITS) rDNA, and mitochondrial cytochrome oxidase I (COI) gene sequences. Specimens were collected at continental shelf depths (200–500 m) near the Antarctic Peninsula, Scotia Arc and eastern side of the Weddell Sea. The two nematode genera co-occurred at all sampled locations, but with different vertical distribution in the sediment. A combination of phylogenetic (GMYC, Bayesian Inference, Maximum Likelihood) and population genetic (AMOVA) analyses were used for species delimitation and assessment of gene flow between sampling locations.

          Results

          Sequence analyses resulted in the delimitation of four divergent species lineages in Sabatieria, two of which could not be discriminated morphologically and most likely constitute cryptic species. Two species were recognised in Desmodora, one of which showed large intraspecific morphological variation. Both genera comprised species that were restricted to one side of the Weddell Sea and species that were widely spread across it. Population genetic structuring was highly significant and more pronounced in the deeper sediment-dwelling Sabatieria species, which are generally less prone to resuspension and passive dispersal in the water column than surface Desmodora species.

          Conclusions

          Our results indicate that gene flow is restricted at large geographic distance in the Southern Ocean, which casts doubt on the efficiency of the Weddell gyre and Antarctic Circumpolar Current in facilitating circum-Antarctic nematode species distributions. We also show that genetic structuring and cryptic speciation can be very different in nematode species isolated from the same geographic area, but with different habitat preferences (surface versus deeper sediment layers).

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12862-017-0968-1) contains supplementary material, which is available to authorized users.

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          Most cited references56

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            A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation.

            We previously developed a cladistic approach to identify subsets of haplotypes defined by restriction endonuclease mapping or DNA sequencing that are associated with significant phenotypic deviations. Our approach was limited to segments of DNA in which little recombination occurs. In such cases, a cladogram can be constructed from the restriction site or sequence data that represents the evolutionary steps that interrelate the observed haplotypes. The cladogram is used to define a nested statistical design to identify mutational steps associated with significant phenotypic deviations. The central assumption behind this strategy is that any undetected mutation causing a phenotypic effect is embedded within the same evolutionary history that is represented by the cladogram. The power of this approach depends upon the confidence one has in the particular cladogram used to draw inferences. In this paper, we present a strategy for estimating the set of cladograms that are consistent with a particular sample of either restriction site or nucleotide sequence data and that includes the possibility of recombination. We first evaluate the limits of parsimony in constructing cladograms. Once these limits have been determined, we construct the set of parsimonious and nonparsimonious cladograms that is consistent with these limits. Our estimation procedure also identifies haplotypes that are candidates for being products of recombination. If recombination is extensive, our algorithm subdivides the DNA region into two or more subsections, each having little or no internal recombination. We apply this estimation procedure to three data sets to illustrate varying degrees of cladogram ambiguity and recombination.
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              The magnitude of global marine species diversity.

              The question of how many marine species exist is important because it provides a metric for how much we do and do not know about life in the oceans. We have compiled the first register of the marine species of the world and used this baseline to estimate how many more species, partitioned among all major eukaryotic groups, may be discovered. There are ∼226,000 eukaryotic marine species described. More species were described in the past decade (∼20,000) than in any previous one. The number of authors describing new species has been increasing at a faster rate than the number of new species described in the past six decades. We report that there are ∼170,000 synonyms, that 58,000-72,000 species are collected but not yet described, and that 482,000-741,000 more species have yet to be sampled. Molecular methods may add tens of thousands of cryptic species. Thus, there may be 0.7-1.0 million marine species. Past rates of description of new species indicate there may be 0.5 ± 0.2 million marine species. On average 37% (median 31%) of species in over 100 recent field studies around the world might be new to science. Currently, between one-third and two-thirds of marine species may be undescribed, and previous estimates of there being well over one million marine species appear highly unlikely. More species than ever before are being described annually by an increasing number of authors. If the current trend continues, most species will be discovered this century. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                +32 9 264 85 18 , freija.hauquier@ugent.be
                frederik.leliaert@gmail.com
                annelien.rigaux@ugent.be
                sofie.derycke@naturalsciences.be
                ann.vanreusel@ugent.be
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                30 May 2017
                30 May 2017
                2017
                : 17
                : 120
                Affiliations
                [1 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Marine Biology Research Group, Biology Department, , Ghent University, ; Krijgslaan 281, 9000 Ghent, Belgium
                [2 ]ISNI 0000 0001 2195 7598, GRID grid.425433.7, , Botanic Garden Meise, ; Nieuwelaan 38, 1860 Meise, Belgium
                [3 ]ISNI 0000 0001 2171 9581, GRID grid.20478.39, Operational Directorate Taxonomy and Phylogeny, , Royal Belgian Institute of Natural Sciences (RBINS), ; Rue Vautier 29, 1000 Brussels, Belgium
                Author information
                http://orcid.org/0000-0002-6606-2162
                Article
                968
                10.1186/s12862-017-0968-1
                5450352
                13258213-89dd-4e00-9cf6-b23207d95775
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 December 2016
                : 12 May 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003130, Fonds Wetenschappelijk Onderzoek;
                Award ID: FWO11/ASP/256
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002749, Federaal Wetenschapsbeleid;
                Award ID: BR/132/A1/vERSO
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Evolutionary Biology
                antarctica,continental shelf,cryptic species,desmodora,dispersal,nematoda,phylogeny,population genetics,sabatieria

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