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      Comparative ICE Genomics: Insights into the Evolution of the SXT/R391 Family of ICEs

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          Abstract

          Integrating and conjugative elements (ICEs) are one of the three principal types of self-transmissible mobile genetic elements in bacteria. ICEs, like plasmids, transfer via conjugation; but unlike plasmids and similar to many phages, these elements integrate into and replicate along with the host chromosome. Members of the SXT/R391 family of ICEs have been isolated from several species of gram-negative bacteria, including Vibrio cholerae, the cause of cholera, where they have been important vectors for disseminating genes conferring resistance to antibiotics. Here we developed a plasmid-based system to capture and isolate SXT/R391 ICEs for sequencing. Comparative analyses of the genomes of 13 SXT/R391 ICEs derived from diverse hosts and locations revealed that they contain 52 perfectly syntenic and nearly identical core genes that serve as a scaffold capable of mobilizing an array of variable DNA. Furthermore, selection pressure to maintain ICE mobility appears to have restricted insertions of variable DNA into intergenic sites that do not interrupt core functions. The variable genes confer diverse element-specific phenotypes, such as resistance to antibiotics. Functional analysis of a set of deletion mutants revealed that less than half of the conserved core genes are required for ICE mobility; the functions of most of the dispensable core genes are unknown. Several lines of evidence suggest that there has been extensive recombination between SXT/R391 ICEs, resulting in re-assortment of their respective variable gene content. Furthermore, our analyses suggest that there may be a network of phylogenetic relationships among sequences found in all types of mobile genetic elements.

          Author Summary

          Integrative and conjugative elements (ICEs) are a class of mobile genetic elements that are key mediators of horizontal gene flow in bacteria. These elements integrate into the host chromosome, yet are able to excise and transfer via conjugation. Our understanding of ICE evolution is rudimentary. Here, we developed a method to capture ICEs on plasmids, thus facilitating their sequencing. Comparative analyses of the DNA sequences of ICEs from the same family revealed that they have an identical genetic structure consisting of syntenous, highly conserved core genes that are interrupted by clusters of diverse variable genes. Unexpectedly, many genes in the core backbone proved non-essential for ICE transfer. Comparisons of the variable gene content in the ICEs analyzed revealed that these elements are mosaics whose genomes have been shaped by inter–ICE recombination. Finally, our work suggests that ICEs contribute to a larger gene pool that connects all types of mobile elements.

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          A whole-genome assembly of Drosophila.

          We report on the quality of a whole-genome assembly of Drosophila melanogaster and the nature of the computer algorithms that accomplished it. Three independent external data sources essentially agree with and support the assembly's sequence and ordering of contigs across the euchromatic portion of the genome. In addition, there are isolated contigs that we believe represent nonrepetitive pockets within the heterochromatin of the centromeres. Comparison with a previously sequenced 2.9- megabase region indicates that sequencing accuracy within nonrepetitive segments is greater than 99. 99% without manual curation. As such, this initial reconstruction of the Drosophila sequence should be of substantial value to the scientific community.
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            LAGAN and Multi-LAGAN: efficient tools for large-scale multiple alignment of genomic DNA.

            To compare entire genomes from different species, biologists increasingly need alignment methods that are efficient enough to handle long sequences, and accurate enough to correctly align the conserved biological features between distant species. We present LAGAN, a system for rapid global alignment of two homologous genomic sequences, and Multi-LAGAN, a system for multiple global alignment of genomic sequences. We tested our systems on a data set consisting of greater than 12 Mb of high-quality sequence from 12 vertebrate species. All the sequence was derived from the genomic region orthologous to an approximately 1.5-Mb region on human chromosome 7q31.3. We found that both LAGAN and Multi-LAGAN compare favorably with other leading alignment methods in correctly aligning protein-coding exons, especially between distant homologs such as human and chicken, or human and fugu. Multi-LAGAN produced the most accurate alignments, while requiring just 75 minutes on a personal computer to obtain the multiple alignment of all 12 sequences. Multi-LAGAN is a practical method for generating multiple alignments of long genomic sequences at any evolutionary distance. Our systems are publicly available at http://lagan.stanford.edu.
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              To what extent is the tree of life the best representation of the evolutionary history of microorganisms? Recent work has shown that, among sets of prokaryotic genomes in which most homologous genes show extremely low sequence divergence, gene content can vary enormously, implying that those genes that are variably present or absent are frequently horizontally transferred. Traditionally, successful horizontal gene transfer was assumed to provide a selective advantage to either the host or the gene itself, but could horizontally transferred genes be neutral or nearly neutral? We suggest that for many prokaryotes, the boundaries between species are fuzzy, and therefore the principles of population genetics must be broadened so that they can be applied to higher taxonomic categories.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                December 2009
                December 2009
                24 December 2009
                : 5
                : 12
                : e1000786
                Affiliations
                [1 ]Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
                [2 ]Department of Genetics, Tufts Medical School, Boston, Massachusetts, United States of America
                [3 ]J. Craig Venter Institute, Rockville, Maryland, United States of America
                [4 ]Dipartimento di Biologia Cellulare e dello Sviluppo, Universitá di Roma La Sapienza, Rome, Italy
                [5 ]Centre d'Étude et de Valorisation de la Diversité Microbienne, Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
                [6 ]Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
                Université Paris Descartes, INSERM U571, France
                Author notes

                Conceived and designed the experiments: RAFW VB MKW. Performed the experiments: RAFW DEF MS DC GG CD VB. Analyzed the data: RAFW MS DC VB MKW. Contributed reagents/materials/analysis tools: MMC. Wrote the paper: RAFW VB MKW.

                Article
                09-PLGE-RA-1776R2
                10.1371/journal.pgen.1000786
                2791158
                20041216
                aec94e9c-b194-4fda-af5d-3d8bc74d13aa
                Wozniak 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
                : 7 October 2009
                : 24 November 2009
                Page count
                Pages: 13
                Categories
                Research Article
                Evolutionary Biology/Evolutionary and Comparative Genetics
                Evolutionary Biology/Microbial Evolution and Genomics
                Genetics and Genomics/Bioinformatics
                Genetics and Genomics/Comparative Genomics
                Genetics and Genomics/Microbial Evolution and Genomics
                Microbiology/Microbial Evolution and Genomics

                Genetics
                Genetics

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