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      Transcriptome sequencing and phylogenetic analysis of four species of luminescent beetles

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      Scientific Reports
      Nature Publishing Group UK

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          Abstract

          The evolution of bioluminescence has prompted scientific attention to illuminate phylogenetic relationships of luminescent beetles. However, genomic resources are virtually lacking in rhagophthalmids (Rhagophthalmidae) and their related firefly beetles lampyrids (Lampyridae). Here, we employed the Illumina Hiseq 2000 platform and sequenced the whole-body transcriptomes of the four luminescent beetles: one rhagophthalmid ( Rhagophthalmus sp.) and three fireflies ( Asymmetricata circumdata, Aquatica ficta, and Pyrocoelia pectoralis). We obtained 55.4, 43.4, 38.6, and 36.7 million clean reads for the four species, respectively. All reads were assembled into contigs from which unigenes were derived. All unigenes were annotated by publicly available databases, and a total of 4325 orthologous genes were identified. Using multiple phylogenetic approaches, our transcriptome data confirmed the distinctiveness of Rhagophthalmidae from Lampyridae, which was also supported by our mitogenome analysis using three newly determined mitogenome sequences and 12 previously published ones. Together, this study is the first report of whole transcriptome sequencing data in Rhagophthalmidae and Lampyridae species, representing a valuable genomic resource for studying the origin and evolution of some remarkable traits in these beetles such as bioluminescence. Moreover, our transcriptome and mitogenome data provide useful phylogenetic information that could be of importance in future studies of phylogenetic inference.

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence

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              Is a new and general theory of molecular systematics emerging?

              The advent and maturation of algorithms for estimating species trees-phylogenetic trees that allow gene tree heterogeneity and whose tips represent lineages, populations and species, as opposed to genes-represent an exciting confluence of phylogenetics, phylogeography, and population genetics, and ushers in a new generation of concepts and challenges for the molecular systematist. In this essay I argue that to better deal with the large multilocus datasets brought on by phylogenomics, and to better align the fields of phylogeography and phylogenetics, we should embrace the primacy of species trees, not only as a new and useful practical tool for systematics, but also as a long-standing conceptual goal of systematics that, largely due to the lack of appropriate computational tools, has been eclipsed in the past few decades. I suggest that phylogenies as gene trees are a "local optimum" for systematics, and review recent advances that will bring us to the broader optimum inherent in species trees. In addition to adopting new methods of phylogenetic analysis (and ideally reserving the term "phylogeny" for species trees rather than gene trees), the new paradigm suggests shifts in a number of practices, such as sampling data to maximize not only the number of accumulated sites but also the number of independently segregating genes; routinely using coalescent or other models in computer simulations to allow gene tree heterogeneity; and understanding better the role of concatenation in influencing topologies and confidence in phylogenies. By building on the foundation laid by concepts of gene trees and coalescent theory, and by taking cues from recent trends in multilocus phylogeography, molecular systematics stands to be enriched. Many of the challenges and lessons learned for estimating gene trees will carry over to the challenge of estimating species trees, although adopting the species tree paradigm will clarify many issues (such as the nature of polytomies and the star tree paradox), raise conceptually new challenges, or provide new answers to old questions.
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                Author and article information

                Contributors
                huabinzhao@whu.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 May 2017
                12 May 2017
                2017
                : 7
                : 1814
                Affiliations
                ISNI 0000 0001 2331 6153, GRID grid.49470.3e, Department of Ecology and Hubei Key Laboratory of Cell Homeostasis, , College of Life Sciences, Wuhan University, ; Wuhan, 430072 China
                Article
                1835
                10.1038/s41598-017-01835-9
                5431921
                28500331
                9b3c1334-86dc-45bb-a7be-1eff6111040d
                © The Author(s) 2017

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 January 2017
                : 4 April 2017
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