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Bacterial discrimination by dictyostelid amoebae reveals the complexity of ancient interspecies interactions

Waleed Nasser and Balaji Santhanam and Edward Roshan Miranda and Anup Parikh and Kavina Juneja and Gregor Rot and Christopher Dinh and Rui Chen and Blaz Zupan and Gad Shaulsky and Adam Kuspa (2013) Bacterial discrimination by dictyostelid amoebae reveals the complexity of ancient interspecies interactions. Current Biology, 23 (10). pp. 862-872.

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    Abstract

    Background Amoebae and bacteria interact within predator-prey and host-pathogen relationships, but the general response of amoeba to bacteria is not well understood. The amoeba Dictyostelium discoideum feeds on, and is colonized by, diverse bacterial species, including Gram-positive [Gram(+)] and Gram-negative [Gram(–)] bacteria, two major groups of bacteria that differ in structure and macromolecular composition. Results Transcriptional profiling of D. discoideum revealed sets of genes whose expression is enriched in amoebae interacting with different species of bacteria, including sets that appear specific to amoebae interacting with Gram(+) or with Gram(–) bacteria. In a genetic screen utilizing the growth of mutant amoebae on a variety of bacteria as a phenotypic readout, we identified amoebal genes that are only required for growth on Gram(+) bacteria, including one that encodes the cell-surface protein gp130, as well as several genes that are only required for growth on Gram(–) bacteria, including one that encodes a putative lysozyme, AlyL. These genes are required for parts of the transcriptional response of wild-type amoebae, and this allowed their classification into potential response pathways. Conclusions We have defined genes that are critical for amoebal survival during feeding on Gram(+), or Gram(–), bacteria that we propose form part of a regulatory network that allows D. discoideum to elicit specific cellular responses to different species of bacteria in order to optimize survival.

    Item Type: Article
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=9921108)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Bioinformatics Laboratory
    Item ID: 2261
    Date Deposited: 22 Oct 2013 21:50
    Last Modified: 02 Dec 2013 12:40
    URI: http://eprints.fri.uni-lj.si/id/eprint/2261

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