2014
DOI: 10.1038/nature12959
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An environmental bacterial taxon with a large and distinct metabolic repertoire

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Cited by 522 publications
(583 citation statements)
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References 68 publications
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“…In addition, cof genes were disproportionally abundant in known soil-and marine-dwelling orders of Proteobacteria (for example, Rhizobiales and Alteromonadales) compared with host-associated orders (for example, Rickettsiales and Enterobacteriales) (Supplementary Table S1). Finally, F 420 biosynthesis genes were also detected in two Firmicutes species and within the Tectomicrobia (Supplementary Table S3), a recently discovered candidate phylum with wide biosynthetic capacity (Wilson et al, 2014). Putative F 420 -dependent oxidoreductases from multiple families were identified in the genomes of the phyla predicted to synthesize F 420 (Supplementary Table S4).…”
Section: Resultsmentioning
confidence: 99%
“…In addition, cof genes were disproportionally abundant in known soil-and marine-dwelling orders of Proteobacteria (for example, Rhizobiales and Alteromonadales) compared with host-associated orders (for example, Rickettsiales and Enterobacteriales) (Supplementary Table S1). Finally, F 420 biosynthesis genes were also detected in two Firmicutes species and within the Tectomicrobia (Supplementary Table S3), a recently discovered candidate phylum with wide biosynthetic capacity (Wilson et al, 2014). Putative F 420 -dependent oxidoreductases from multiple families were identified in the genomes of the phyla predicted to synthesize F 420 (Supplementary Table S4).…”
Section: Resultsmentioning
confidence: 99%
“…An intriguing example is represented by the single‐cell and metagenomics‐based approach leading to the identification of the novel bacterial taxon ‘ Entotheonella ’ that co‐inhabits the Red sea marine sponge Theonella swinhoei . Metagenomic analysis showed that more than 40 bioactive polyketides and modified peptides belonging to seven different structural classes are produced by the endosymbiont in association with the sponge (Wilson et al ., 2014). …”
Section: Novel Approaches For Drug Discoverymentioning
confidence: 99%
“…Mature bottromycins ( 1 – 5 , Figure 2) were clearly absent in every mutant, but the complexity of the data hampered the detailed characterization of metabolites. Therefore, this was followed by mass spectral network analysis,18 which is a powerful tool that identifies similarities in MS 2 fragmentation data and builds a network of species with related MS 2 spectra, thus identifying structurally‐related molecules within a complex mixture 18, 19, 20, 21, 22, 23, 24. This has been used to assess the global metabolic profiles of a single organism, either in isolation19 or when interacting with neighboring species,18 to compare the metabolomes of related organisms,20, 21, 22 to assess the metabolic potential of a new bacterial taxon,23 and to identify metabolites related to the colibactin pathway 24…”
mentioning
confidence: 99%