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      Biogeography and molecular diversity of coral symbionts in the genus Symbiodinium around the Arabian Peninsula

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          Abstract

          Aim

          Coral reefs rely on the symbiosis between scleractinian corals and intracellular, photosynthetic dinoflagellates of the genus Symbiodinium making the assessment of symbiont diversity critical to our understanding of ecological resilience of these ecosystems. This study characterizes Symbiodinium diversity around the Arabian Peninsula, which contains some of the most thermally diverse and understudied reefs on Earth.

          Location

          Shallow water coral reefs throughout the Red Sea ( RS), Sea of Oman ( SO), and Persian/Arabian Gulf ( PAG).

          Methods

          Next‐generation sequencing of the ITS2 marker gene was used to assess Symbiodinium community composition and diversity comprising 892 samples from 46 hard and soft coral genera.

          Results

          Corals were associated with a large diversity of Symbiodinium, which usually consisted of one or two prevalent symbiont types and many types at low abundance. Symbiodinium communities were strongly structured according to geographical region and to a lesser extent by coral host identity. Overall symbiont communities were composed primarily of species from clade A and C in the RS, clade A, C, and D in the SO, and clade C and D in the PAG, representing a gradual shift from C‐ to D‐dominated coral hosts. The analysis of symbiont diversity in an Operational Taxonomic Unit (OTU)‐based framework allowed the identification of differences in symbiont taxon richness over geographical regions and host genera.

          Main conclusions

          Our study represents a comprehensive overview over biogeography and molecular diversity of Symbiodinium in the Arabian Seas, where coral reefs thrive in one of the most extreme environmental settings on the planet. As such our data will serve as a baseline for further exploration into the effects of environmental change on host–symbiont pairings and the identification and ecological significance of Symbiodinium types from regions already experiencing ‘Future Ocean’ conditions.

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          Most cited references18

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          PyEvolve: a toolkit for statistical modelling of molecular evolution

          Background Examining the distribution of variation has proven an extremely profitable technique in the effort to identify sequences of biological significance. Most approaches in the field, however, evaluate only the conserved portions of sequences – ignoring the biological significance of sequence differences. A suite of sophisticated likelihood based statistical models from the field of molecular evolution provides the basis for extracting the information from the full distribution of sequence variation. The number of different problems to which phylogeny-based maximum likelihood calculations can be applied is extensive. Available software packages that can perform likelihood calculations suffer from a lack of flexibility and scalability, or employ error-prone approaches to model parameterisation. Results Here we describe the implementation of PyEvolve, a toolkit for the application of existing, and development of new, statistical methods for molecular evolution. We present the object architecture and design schema of PyEvolve, which includes an adaptable multi-level parallelisation schema. The approach for defining new methods is illustrated by implementing a novel dinucleotide model of substitution that includes a parameter for mutation of methylated CpG's, which required 8 lines of standard Python code to define. Benchmarking was performed using either a dinucleotide or codon substitution model applied to an alignment of BRCA1 sequences from 20 mammals, or a 10 species subset. Up to five-fold parallel performance gains over serial were recorded. Compared to leading alternative software, PyEvolve exhibited significantly better real world performance for parameter rich models with a large data set, reducing the time required for optimisation from ~10 days to ~6 hours. Conclusion PyEvolve provides flexible functionality that can be used either for statistical modelling of molecular evolution, or the development of new methods in the field. The toolkit can be used interactively or by writing and executing scripts. The toolkit uses efficient processes for specifying the parameterisation of statistical models, and implements numerous optimisations that make highly parameter rich likelihood functions solvable within hours on multi-cpu hardware. PyEvolve can be readily adapted in response to changing computational demands and hardware configurations to maximise performance. PyEvolve is released under the GPL and can be downloaded from .
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            A new Symbiodinium clade (Dinophyceae) from soritid foraminifera in Hawai'i.

            Dinoflagellates in the genus Symbiodinium are crucial components of coral reef ecosystems in their roles as endosymbionts of corals and other marine invertebrates. The genus Symbiodinium encompasses eight lineages (clades A-H), and multiple sub-clade types. Symbiodinium in clades A, B, C, and D are most commonly associated with metazoan hosts while clades C, D, F, G, and H with large soritid foraminifera. Recent studies have described a diversity of new Symbiodinium types within each clades, but no new clades have been reported since 2001. Here, we describe a new clade of Symbiodinium isolated from soritid foraminifera from Hawai'i. Published by Elsevier Inc.
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              Different algal symbionts explain the vertical distribution of dominant reef corals in the eastern Pacific.

              Symbiotic reef corals occupy the entire photic zone; however, most species have distinct zonation patterns within the light intensity gradient. It is hypothesized that the presence of specific symbionts adapted to different light regimes may determine the vertical distribution of particular hosts. We have tested this hypothesis by genetic and in situ physiological analyses of the algal populations occupying two dominant eastern Pacific corals, over their vertical distribution in the Gulf of California. Our findings indicate that each coral species hosts a distinct algal taxon adapted to a particular light regime. The differential use of light by specific symbiotic dinoflagellates constitutes an important axis for niche diversification and is sufficient to explain the vertical distribution patterns of these two coral species.
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                Author and article information

                Contributors
                christian.voolstra@kaust.edu.sa
                Journal
                J Biogeogr
                J. Biogeogr
                10.1111/(ISSN)1365-2699
                JBI
                Journal of Biogeography
                John Wiley and Sons Inc. (Hoboken )
                0305-0270
                1365-2699
                02 January 2017
                March 2017
                : 44
                : 3 ( doiID: 10.1111/jbi.2017.44.issue-3 )
                : 674-686
                Affiliations
                [ 1 ] Division of Biological and Environmental Science and Engineering (BESE) Red Sea Research CenterKing Abdullah University of Science and Technology (KAUST) ThuwalSaudi Arabia
                [ 2 ] Center for Genomics and Systems BiologyNew York University Abu Dhabi Abu DhabiUnited Arab Emirates
                [ 3 ] Department of Marine Science and Fisheries College of Agricultural and Marine SciencesSultan Qaboos University MuscatOman
                [ 4 ] Shelf Sea System EcologyAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research Germany
                [ 5 ] Department of BiologyPennsylvania State University University Park PA 16802USA
                Author notes
                [*] [* ] Correspondence: Christian R. Voolstra, Division of Biological and Environmental Science and Engineering (BESE), Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

                E‐mail: christian.voolstra@ 123456kaust.edu.sa

                [†]

                Authors contributed equally.

                Author information
                http://orcid.org/0000-0003-4555-3795
                Article
                JBI12913
                10.1111/jbi.12913
                5324606
                28286360
                69a4b3b1-f70a-4332-9f97-67570b910da3
                © 2017 The Authors. Journal of Biogeography Published by John Wiley & Sons Ltd

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 6, Tables: 2, Pages: 13, Words: 10010
                Funding
                Funded by: King Abdullah University of Science and Technology (KAUST)
                Funded by: Office of Sponsored Research (OSR)
                Award ID: OSR‐2015‐CCF‐1973
                Funded by: AEA3
                Categories
                Original Article
                Symbiodinium and Coral Reefs
                Custom metadata
                2.0
                jbi12913
                March 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.7 mode:remove_FC converted:24.02.2017

                Geography
                coral reef,ecosystem,its2,next‐generation sequencing,persian/arabian gulf,red sea,sea of oman,symbiosis

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