An environmental bacterial taxon with a large and distinct metabolic repertoire

Wilson MC, Mori T, Rückert C, Uria AR, Helf MJ, Takada K, Gernert C, Steffens UAE, Heycke N, Schmitt S, Rinke C, et al. (2014)
Nature 506(7486): 58-62.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Wilson, Micheal C; Mori, Tetsushi; Rückert, ChristianUniBi ; Uria, Agustinus R; Helf, Maximilian J; Takada, Kentaro; Gernert, Christine; Steffens, Ursula A E; Heycke, Nina; Schmitt, Susanne; Rinke, Christian; Helfrich, Eric J N
Alle
Abstract / Bemerkung
: Cultivated bacteria such as actinomycetes are a highly useful source of biomedically important natural products. However, such 'talented' producers represent only a minute fraction of the entire, mostly uncultivated, prokaryotic diversity. The uncultured majority is generally perceived as a large, untapped resource of new drug candidates, but so far it is unknown whether taxa containing talented bacteria indeed exist. Here we report the single-cell- and metagenomics-based discovery of such producers. Two phylotypes of the candidate genus 'Entotheonella' with genomes of greater than 9 megabases and multiple, distinct biosynthetic gene clusters co-inhabit the chemically and microbially rich marine sponge Theonella swinhoei. Almost all bioactive polyketides and peptides known from this animal were attributed to a single phylotype. 'Entotheonella' spp. are widely distributed in sponges and belong to an environmental taxon proposed here as candidate phylum 'Tectomicrobia'. The pronounced bioactivities and chemical uniqueness of 'Entotheonella' compounds provide significant opportunities for ecological studies and drug discovery.
Erscheinungsjahr
2014
Zeitschriftentitel
Nature
Band
506
Ausgabe
7486
Seite(n)
58-62
ISSN
0028-0836
eISSN
1476-4687
Page URI
https://pub.uni-bielefeld.de/record/2653196

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Wilson MC, Mori T, Rückert C, et al. An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature. 2014;506(7486):58-62.
Wilson, M. C., Mori, T., Rückert, C., Uria, A. R., Helf, M. J., Takada, K., Gernert, C., et al. (2014). An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature, 506(7486), 58-62. doi:10.1038/nature12959
Wilson, Micheal C, Mori, Tetsushi, Rückert, Christian, Uria, Agustinus R, Helf, Maximilian J, Takada, Kentaro, Gernert, Christine, et al. 2014. “An environmental bacterial taxon with a large and distinct metabolic repertoire”. Nature 506 (7486): 58-62.
Wilson, M. C., Mori, T., Rückert, C., Uria, A. R., Helf, M. J., Takada, K., Gernert, C., Steffens, U. A. E., Heycke, N., Schmitt, S., et al. (2014). An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature 506, 58-62.
Wilson, M.C., et al., 2014. An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature, 506(7486), p 58-62.
M.C. Wilson, et al., “An environmental bacterial taxon with a large and distinct metabolic repertoire”, Nature, vol. 506, 2014, pp. 58-62.
Wilson, M.C., Mori, T., Rückert, C., Uria, A.R., Helf, M.J., Takada, K., Gernert, C., Steffens, U.A.E., Heycke, N., Schmitt, S., Rinke, C., Helfrich, E.J.N., Brachmann, A.O., Gurgui, C., Wakimoto, T., Kracht, M., Crüsemann, M., Hentschel, U., Abe, I., Matsunaga, S., Kalinowski, J., Takeyama, H., Piel, J.: An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature. 506, 58-62 (2014).
Wilson, Micheal C, Mori, Tetsushi, Rückert, Christian, Uria, Agustinus R, Helf, Maximilian J, Takada, Kentaro, Gernert, Christine, Steffens, Ursula A E, Heycke, Nina, Schmitt, Susanne, Rinke, Christian, Helfrich, Eric J N, Brachmann, Alexander O, Gurgui, Cristian, Wakimoto, Toshiyuki, Kracht, Matthias, Crüsemann, Max, Hentschel, Ute, Abe, Ikuro, Matsunaga, Shigeki, Kalinowski, Jörn, Takeyama, Haruko, and Piel, Jörn. “An environmental bacterial taxon with a large and distinct metabolic repertoire”. Nature 506.7486 (2014): 58-62.

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Frank AM, Bandeira N, Shen Z, Tanner S, Briggs SP, Smith RD, Pevzner PA., J. Proteome Res. 7(1), 2007
PMID: 18067247
Protein identification by spectral networks analysis.
Bandeira N, Tsur D, Frank A, Pevzner PA., Proc. Natl. Acad. Sci. U.S.A. 104(15), 2007
PMID: 17404225
Cytoscape: a software environment for integrated models of biomolecular interaction networks.
Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T., Genome Res. 13(11), 2003
PMID: 14597658
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