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      Mitogenomics provides new insights into the phylogenetic relationships and evolutionary history of deep-sea sea stars (Asteroidea)

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          Abstract

          The deep sea (> 200 m) is considered as the largest and most remote biome, which characterized by low temperatures, low oxygen level, scarce food, constant darkness, and high hydrostatic pressure. The sea stars (class Asteroidea) are ecologically important and diverse echinoderms in all of the world’s oceans, occurring from the intertidal to the abyssal zone (to about 6000 m). To date, the phylogeny of the sea stars and the relationships of deep-sea and shallow water groups have not yet been fully resolved. Here, we recovered five mitochondrial genomes of deep-sea asteroids. The A+T content of the mtDNA in deep-sea asteroids were significantly higher than that of the shallow-water groups. The gene orders of the five new mitogenomes were identical to that of other asteroids. The phylogenetic analysis showed that the orders Valvatida, Paxillosida, Forcipulatida are paraphyletic. Velatida was the sister order of all the others and then the cladeValvatida-Spinulosida-Paxillosida-Notomyotida versus Forcipulatida-Brisingida. Deep-sea asteroids were nested in different lineages, instead of a well-supported clade. The tropical Western Pacific was suggested as the original area of asteroids, and the temperate water was initially colonized with asteroids by the migration events from the tropical and cold water. The time-calibrated phylogeny showed that Asteroidea originated during Devonian-Carboniferous boundary and the major lineages of Asteroidea originated during Permian–Triassic boundary. The divergence between the deep-sea and shallow-water asteroids coincided approximately with the Triassic-Jurassic extinction. Total 29 positively selected sites were detected in fifteen mitochondrial genes of five deep-sea lineages, implying a link between deep-sea adaption and mitochondrial molecular biology in asteroids.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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              MrBayes 3: Bayesian phylogenetic inference under mixed models.

              MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models. This allows the user to analyze heterogeneous data sets consisting of different data types-e.g. morphological, nucleotide, and protein-and to explore a wide variety of structured models mixing partition-unique and shared parameters. The program employs MPI to parallelize Metropolis coupling on Macintosh or UNIX clusters.
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                Author and article information

                Contributors
                shazl@qdio.ac.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 March 2022
                18 March 2022
                2022
                : 12
                : 4656
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, Department of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, , Chinese Academy of Sciences, ; Nanhai Road 7, Qingdao, 266071 China
                [2 ]GRID grid.484590.4, ISNI 0000 0004 5998 3072, Laboratory for Marine Biology and Biotechnology, , Qingdao National Laboratory for Marine Science and Technology, ; Qingdao, 266071 China
                [3 ]GRID grid.9227.e, ISNI 0000000119573309, Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, , Chinese Academy of Sciences, ; Qingdao, 266071 China
                [4 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, University of Chinese Academy of Sciences, ; Beijing, 100049 China
                Article
                8644
                10.1038/s41598-022-08644-9
                8933410
                35304532
                d084a952-f7fa-4809-a1e9-7c78758f54b8
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 August 2021
                : 25 February 2022
                Funding
                Funded by: the Strategic Priority Research Program of the Chinese Academy of Sciences
                Award ID: XDB42000000
                Award Recipient :
                Funded by: the Biological Resources Program, Chinese Academy of Sciences
                Award ID: KFJ-BRP-017-38
                Award Recipient :
                Funded by: the National Science Foundation for Distinguished Young Scholars
                Award ID: 42025603
                Award Recipient :
                Funded by: the Key Research Program of Frontier Sciences, Chinese Academy of Sciences
                Award ID: QYZDB-SSWDQC036
                Award Recipient :
                Categories
                Article
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                © The Author(s) 2022

                Uncategorized
                evolution,genetics,molecular biology
                Uncategorized
                evolution, genetics, molecular biology

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