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      On the Extent and Origins of Genic Novelty in the Phylum Nematoda

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          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

          The phylum Nematoda is biologically diverse, including parasites of plants and animals as well as free-living taxa. Underpinning this diversity will be commensurate diversity in expressed genes, including gene sets associated specifically with evolution of parasitism.

          Methods and Findings

          Here we have analyzed the extensive expressed sequence tag data (available for 37 nematode species, most of which are parasites) and define over 120,000 distinct putative genes from which we have derived robust protein translations. Combined with the complete proteomes of Caenorhabditis elegans and Caenorhabditis briggsae, these proteins have been grouped into 65,000 protein families that in turn contain 40,000 distinct protein domains. We have mapped the occurrence of domains and families across the Nematoda and compared the nematode data to that available for other phyla. Gene loss is common, and in particular we identify nearly 5,000 genes that may have been lost from the lineage leading to the model nematode C. elegans. We find a preponderance of novelty, including 56,000 nematode-restricted protein families and 26,000 nematode-restricted domains. Mapping of the latest time-of-origin of these new families and domains across the nematode phylogeny revealed ongoing evolution of novelty. A number of genes from parasitic species had signatures of horizontal transfer from their host organisms, and parasitic species had a greater proportion of novel, secreted proteins than did free-living ones.

          Conclusions

          These classes of genes may underpin parasitic phenotypes, and thus may be targets for development of effective control measures.

          Author Summary

          The high-throughput sequencing of messenger RNA from parasitic organisms has permitted large-scale sequence analyses typically reserved for complete genome studies. Such expressed sequence tags (ESTs) have previously been generated for 37 species from the phylum Nematoda, of which 35 were from parasitic species. These datasets were combined with the complete genomes of Caenorhabditis elegans and C. briggsae. The sequences were assembled into 65,000 protein families, and decorated with 40,000 distinct protein domains. These annotations were analysed in the context of the nematode phylogeny. We identified massive gene loss in the model nematode, C. elegans, as well as plant-like proteins in nematodes that cause crop damage. Furthermore, many protein families were found in small groups of closely related species and may represent innovations necessary to sustain their parasitic ecologies. All of these data are presented at NemBase ( www.nematodes.org) and will aid researchers working on this important group of parasites.

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          Most cited references86

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          Pfam: clans, web tools and services

          Pfam is a database of protein families that currently contains 7973 entries (release 18.0). A recent development in Pfam has enabled the grouping of related families into clans. Pfam clans are described in detail, together with the new associated web pages. Improvements to the range of Pfam web tools and the first set of Pfam web services that allow programmatic access to the database and associated tools are also presented. Pfam is available on the web in the UK (), the USA (), France () and Sweden ().
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            Genome sequence of the nematode C. elegans: a platform for investigating biology.

            (1999)
            The 97-megabase genomic sequence of the nematode Caenorhabditis elegans reveals over 19,000 genes. More than 40 percent of the predicted protein products find significant matches in other organisms. There is a variety of repeated sequences, both local and dispersed. The distinctive distribution of some repeats and highly conserved genes provides evidence for a regional organization of the chromosomes.
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              The genome sequence of the malaria mosquito Anopheles gambiae.

              Anopheles gambiae is the principal vector of malaria, a disease that afflicts more than 500 million people and causes more than 1 million deaths each year. Tenfold shotgun sequence coverage was obtained from the PEST strain of A. gambiae and assembled into scaffolds that span 278 million base pairs. A total of 91% of the genome was organized in 303 scaffolds; the largest scaffold was 23.1 million base pairs. There was substantial genetic variation within this strain, and the apparent existence of two haplotypes of approximately equal frequency ("dual haplotypes") in a substantial fraction of the genome likely reflects the outbred nature of the PEST strain. The sequence produced a conservative inference of more than 400,000 single-nucleotide polymorphisms that showed a markedly bimodal density distribution. Analysis of the genome sequence revealed strong evidence for about 14,000 protein-encoding transcripts. Prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted. An expressed sequence tag analysis of genes regulated by blood feeding provided insights into the physiological adaptations of a hematophagous insect.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, USA )
                1935-2727
                1935-2735
                July 2008
                2 July 2008
                : 2
                : 7
                : e258
                Affiliations
                [1 ]Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom
                [2 ]Program for Molecular Structure and Function, Hospital for Sick Children, Toronto, Ontario, Canada
                [3 ]Department of Biochemistry, University of Leicester, Leicester, United Kingdom
                University of Pittsburgh, United States of America
                Author notes

                Conceived and designed the experiments: JW RS AH MB. Performed the experiments: JW RS AH MB. Analyzed the data: JW RS AH MB. Contributed reagents/materials/analysis tools: JW RS AH MB. Wrote the paper: JW RS AH MB.

                Article
                08-PNTD-RA-0050R2
                10.1371/journal.pntd.0000258
                2432500
                18596977
                e2aea492-2f23-40e5-96dd-a64549a90e42
                Wasmuth et al. 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
                : 13 February 2008
                : 9 June 2008
                Page count
                Pages: 14
                Categories
                Research Article
                Computational Biology/Genomics
                Evolutionary Biology/Bioinformatics
                Evolutionary Biology/Evolutionary and Comparative Genetics
                Genetics and Genomics/Bioinformatics
                Genetics and Genomics/Gene Discovery
                Infectious Diseases/Helminth Infections

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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