Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
256
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Comparative Metagenomic and Metatranscriptomic Analysis of Hindgut Paunch Microbiota in Wood- and Dung-Feeding Higher Termites

      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

          Termites effectively feed on many types of lignocellulose assisted by their gut microbial symbionts. To better understand the microbial decomposition of biomass with varied chemical profiles, it is important to determine whether termites harbor different microbial symbionts with specialized functionalities geared toward different feeding regimens. In this study, we compared the microbiota in the hindgut paunch of Amitermes wheeleri collected from cow dung and Nasutitermes corniger feeding on sound wood by 16S rRNA pyrotag, comparative metagenomic and metatranscriptomic analyses. We found that Firmicutes and Spirochaetes were the most abundant phyla in A. wheeleri, in contrast to N. corniger where Spirochaetes and Fibrobacteres dominated. Despite this community divergence, a convergence was observed for functions essential to termite biology including hydrolytic enzymes, homoacetogenesis and cell motility and chemotaxis. Overrepresented functions in A. wheeleri relative to N. corniger microbiota included hemicellulose breakdown and fixed-nitrogen utilization. By contrast, glycoside hydrolases attacking celluloses and nitrogen fixation genes were overrepresented in N. corniger microbiota. These observations are consistent with dietary differences in carbohydrate composition and nutrient contents, but may also reflect the phylogenetic difference between the hosts.

          Related collections

          Most cited references29

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

          Comparative metagenomics of microbial communities.

          The species complexity of microbial communities and challenges in culturing representative isolates make it difficult to obtain assembled genomes. Here we characterize and compare the metabolic capabilities of terrestrial and marine microbial communities using largely unassembled sequence data obtained by shotgun sequencing DNA isolated from the various environments. Quantitative gene content analysis reveals habitat-specific fingerprints that reflect known characteristics of the sampled environments. The identification of environment-specific genes through a gene-centric comparative analysis presents new opportunities for interpreting and diagnosing environments.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Genomic sequence of a Lyme disease spirochaete, Borrelia burgdorferi.

            The genome of the bacterium Borrelia burgdorferi B31, the aetiologic agent of Lyme disease, contains a linear chromosome of 910,725 base pairs and at least 17 linear and circular plasmids with a combined size of more than 533,000 base pairs. The chromosome contains 853 genes encoding a basic set of proteins for DNA replication, transcription, translation, solute transport and energy metabolism, but, like Mycoplasma genitalium, it contains no genes for cellular biosynthetic reactions. Because B. burgdorferi and M. genitalium are distantly related eubacteria, we suggest that their limited metabolic capacities reflect convergent evolution by gene loss from more metabolically competent progenitors. Of 430 genes on 11 plasmids, most have no known biological function; 39% of plasmid genes are paralogues that form 47 gene families. The biological significance of the multiple plasmid-encoded genes is not clear, although they may be involved in antigenic variation or immune evasion.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              DNA sequence quality trimming and vector removal.

              Most sequence comparison methods assume that the data being compared are trustworthy, but this is not the case with raw DNA sequences obtained from automatic sequencing machines. Nevertheless, sequence comparisons need to be done on them in order to remove vector splice sites and contaminants. This step is necessary before other genomic data processing stages can be carried out, such as fragment assembly or EST clustering. A specialized tool is therefore needed to solve this apparent dilemma. We have designed and implemented a program that specifically addresses the problem. This program, called LUCY, has been in use since 1998 at The Institute for Genomic Research (TIGR). During this period, many rounds of experience-driven modifications were made to LUCY to improve its accuracy and its ability to deal with extremely difficult input cases. We believe we have finally obtained a useful program which strikes a delicate balance among the many issues involved in the raw sequence cleaning problem, and we wish to share it with the research community. LUCY is available directly from TIGR (http://www.tigr.org/softlab). Academic users can download LUCY after accepting a free academic use license. Business users may need to pay a license fee to use LUCY for commercial purposes. Questions regarding the quality assessment module of LUCY should be directed to Michael Holmes (mholmes@tigr.org). Questions regarding other aspects of LUCY should be directed to Hui-Hsien Chou (hhchou@iastate.edu).
                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
                12 April 2013
                : 8
                : 4
                : e61126
                Affiliations
                [1 ]Energy Biosciences Institute, University of California, Berkeley, California, United States of America
                [2 ]US Department of Energy (DOE) Joint Genome Institute, Walnut Creek, California, United States of America
                [3 ]Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
                [4 ]Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
                [5 ]Fort Lauderdale Research and Education Center, University of Florida, Davie, Florida, United States of America
                [6 ]Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences & Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia
                University of Osnabrueck, Germany
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Involved in discussion of the results and provided feedback on the manuscript: SH NI EK MA CB RHS NCK FW SGT PH.. Conceived and designed the experiments: PH FW NI NCK. Performed the experiments: FW MA CB RHS PH. Analyzed the data: SH NI EK MA. Wrote the paper: SH SGT PH.

                Article
                PONE-D-12-23909
                10.1371/journal.pone.0061126
                3625147
                23593407
                807645b3-c9fd-4653-9513-665a6b29aaf1
                Copyright @ 2013

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 9 August 2012
                : 7 March 2013
                Page count
                Pages: 14
                Funding
                Sample collection, DNA extraction and data analysis were funded by the Energy Biosciences Institute and sequencing and sequence data processing were funded by the U.S. Department of Energy Joint Genome Institute under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Ecology
                Community Ecology
                Species Interactions
                Evolutionary Biology
                Evolutionary Processes
                Adaptation
                Genomics
                Genome Analysis Tools
                Genome Sequencing
                Microbiology
                Systems Biology
                Mathematics
                Statistics
                Biostatistics

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content564

                Cited by75

                Most referenced authors806