87
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Transcriptome-Mining for Single-Copy Nuclear Markers in Ferns

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Molecular phylogenetic investigations have revolutionized our understanding of the evolutionary history of ferns—the second-most species-rich major group of vascular plants, and the sister clade to seed plants. The general absence of genomic resources available for this important group of plants, however, has resulted in the strong dependence of these studies on plastid data; nuclear or mitochondrial data have been rarely used. In this study, we utilize transcriptome data to design primers for nuclear markers for use in studies of fern evolutionary biology, and demonstrate the utility of these markers across the largest order of ferns, the Polypodiales.

          Principal Findings

          We present 20 novel single-copy nuclear regions, across 10 distinct protein-coding genes: ApPEFP_C, cryptochrome 2, cryptochrome 4, DET1, gapCpSh, IBR3, pgiC, SQD1, TPLATE, and transducin. These loci, individually and in combination, show strong resolving power across the Polypodiales phylogeny, and are readily amplified and sequenced from our genomic DNA test set (from 15 diploid Polypodiales species). For each region, we also present transcriptome alignments of the focal locus and related paralogs—curated broadly across ferns—that will allow researchers to develop their own primer sets for fern taxa outside of the Polypodiales. Analyses of sequence data generated from our genomic DNA test set reveal strong effects of partitioning schemes on support levels and, to a much lesser extent, on topology. A model partitioned by codon position is strongly favored, and analyses of the combined data yield a Polypodiales phylogeny that is well-supported and consistent with earlier studies of this group.

          Conclusions

          The 20 single-copy regions presented here more than triple the single-copy nuclear regions available for use in ferns. They provide a much-needed opportunity to assess plastid-derived hypotheses of relationships within the ferns, and increase our capacity to explore aspects of fern evolution previously unavailable to scientific investigation.

          Related collections

          Most cited references70

          • Record: found
          • Abstract: found
          • Article: not found

          Choosing appropriate substitution models for the phylogenetic analysis of protein-coding sequences.

          Although phylogenetic inference of protein-coding sequences continues to dominate the literature, few analyses incorporate evolutionary models that consider the genetic code. This problem is exacerbated by the exclusion of codon-based models from commonly employed model selection techniques, presumably due to the computational cost associated with codon models. We investigated an efficient alternative to standard nucleotide substitution models, in which codon position (CP) is incorporated into the model. We determined the most appropriate model for alignments of 177 RNA virus genes and 106 yeast genes, using 11 substitution models including one codon model and four CP models. The majority of analyzed gene alignments are best described by CP substitution models, rather than by standard nucleotide models, and without the computational cost of full codon models. These results have significant implications for phylogenetic inference of coding sequences as they make it clear that substitution models incorporating CPs not only are a computationally realistic alternative to standard models but may also frequently be statistically superior.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            G protein pathways.

            The heterotrimeric guanine nucleotide-binding proteins (G proteins) are signal transducers that communicate signals from many hormones, neurotransmitters, chemokines, and autocrine and paracrine factors. The extracellular signals are received by members of a large superfamily of receptors with seven membrane-spanning regions that activate the G proteins, which route the signals to several distinct intracellular signaling pathways. These pathways interact with one another to form a network that regulates metabolic enzymes, ion channels, transporters, and other components of the cellular machinery controlling a broad range of cellular processes, including transcription, motility, contractility, and secretion. These cellular processes in turn regulate systemic functions such as embryonic development, gonadal development, learning and memory, and organismal homeostasis.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The cryptochromes: blue light photoreceptors in plants and animals.

              Cryptochromes are flavoprotein photoreceptors first identified in Arabidopsis thaliana, where they play key roles in growth and development. Subsequently identified in prokaryotes, archaea, and many eukaryotes, cryptochromes function in the animal circadian clock and are proposed as magnetoreceptors in migratory birds. Cryptochromes are closely structurally related to photolyases, evolutionarily ancient flavoproteins that catalyze light-dependent DNA repair. Here, we review the structural, photochemical, and molecular properties of cry-DASH, plant, and animal cryptochromes in relation to biological signaling mechanisms and uncover common features that may contribute to better understanding the function of cryptochromes in diverse systems including in man.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                8 October 2013
                : 8
                : 10
                : e76957
                Affiliations
                [1 ]Department of Biology, Duke University, Durham, North Carolina, United States of America
                [2 ]Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
                [3 ]Systematic Biology, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
                [4 ]Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
                [5 ]Royal Botanic Garden Edinburgh, Edinburgh, Scotland
                [6 ]New York Botanical Garden, Bronx, New York, United States of America
                [7 ]Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
                [8 ]BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China
                George Washington University, United States of America
                Author notes

                Competing Interests: The authors declare that they have the following interest: This study was partly funded by Musea Ventures. There are no patents, products in development or marketed products to declare. This does not alter their adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.

                Conceived and designed the experiments: CJR. Performed the experiments: CJR AL FWL EMS LH. Analyzed the data: CJR AL FWL EMS LH. Contributed reagents/materials/analysis tools: CJR AL EMS DOB MR DS SWG GW PK KMP. Wrote the manuscript: CJR AL FWL EMS LH MR DOB SWG PK KMP. Designed analysis tools (lasseblaste and BlueDevil): AL FWL. Aligned transcriptomes: CJR AL EMS..

                Article
                PONE-D-13-24460
                10.1371/journal.pone.0076957
                3792871
                24116189
                3a99a301-ab01-47f0-a45a-5d1295c74ea2
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 June 2013
                : 27 August 2013
                Funding
                This work was supported by funds from the National Science Foundation ( www.nsf.gov) DDIG DEB-1110767 to KMP and CJR (co-authors), DDIG DEB-1110775 to KMP and EMS (co-authors), and DEB-1145614 to KMP and LH; a Natural Science and Engineering Research Council (Canada) Postgraduate Scholarship – Doctoral of NSERC (Natural Sciences and Engineering Research Council) to CJR and Discovery grant to SWG; grants from the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas) to PK (2006-429 and 2010-585); GKSW acknowledges the support of Alberta Enterprise and Advanced Education, Genome Alberta, Alberta Innovates Technology Futures iCORE, Musea Ventures, and BGI-Shenzhen. The funding agencies had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article