@article{ChengMacIntyreRamadanAbdelmohsenetal.2015,
  author    = {Cheng, Cheng and MacIntyre, Lynsey and Ramadan Abdelmohsen, Usama and Horn, Hannes and Polymenakou, Paraskevi N. and Edrada-Ebel, RuAngelie and Hentschel, Ute},
  title     = {Biodiversity, Anti-Trypanosomal Activity Screening, and Metabolomic Profiling of Actinomycetes Isolated from Mediterranean Sponges},
  series = {PLoS One},
  volume    = {10},
  journal   = {PLoS One},
  number    = {9},
  doi       = {10.1371/journal.pone.0138528},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125138},
  pages     = {e0138528},
  year      = {2015},
  abstract  = {Marine sponge-associated actinomycetes are considered as promising sources for the discovery of novel biologically active compounds. In the present study, a total of 64 actinomycetes were isolated from 12 different marine sponge species that had been collected offshore the islands of Milos and Crete, Greece, eastern Mediterranean. The isolates were affiliated to 23 genera representing 8 different suborders based on nearly full length 16S rRNA gene sequencing. Four putatively novel species belonging to genera Geodermatophilus, Microlunatus, Rhodococcus and Actinomycetospora were identified based on a 16S rRNA gene sequence similarity of < 98.5\% to currently described strains. Eight actinomycete isolates showed bioactivities against Trypanosma brucei brucei TC221 with half maximal inhibitory concentration (IC50) values <20 μg/mL. Thirty four isolates from the Milos collection and 12 isolates from the Crete collection were subjected to metabolomic analysis using high resolution LC-MS and NMR for dereplication purposes. Two isolates belonging to the genera Streptomyces (SBT348) and Micromonospora (SBT687) were prioritized based on their distinct chemistry profiles as well as their anti-trypanosomal activities. These findings demonstrated the feasibility and efficacy of utilizing metabolomics tools to prioritize chemically unique strains from microorganism collections and further highlight sponges as rich source for novel and bioactive actinomycetes.},
  language  = {en}
}
@article{MacintyreZhangViegelmannetal.2014,
  author    = {Macintyre, Lynsey and Zhang, Tong and Viegelmann, Christina and Martinez, Ignacio Juarez and Cheng, Cheng and Dowdells, Catherine and Abdelmohsen, Usama Ramadan and Gernert, Christine and Hentschel, Ute and Edrada-Ebel, RuAngelie},
  title     = {Metabolomic Tools for Secondary Metabolite Discovery from Marine Microbial Symbionts},
  series = {Marine Drugs},
  volume    = {12},
  journal   = {Marine Drugs},
  number    = {6},
  issn      = {1660-3397},
  doi       = {10.3390/md12063416},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-116097},
  pages     = {3416-3448},
  year      = {2014},
  abstract  = {Marine invertebrate-associated symbiotic bacteria produce a plethora of novel secondary metabolites which may be structurally unique with interesting pharmacological properties. Selection of strains usually relies on literature searching, genetic screening and bioactivity results, often without considering the chemical novelty and abundance of secondary metabolites being produced by the microorganism until the time-consuming bioassay-guided isolation stages. To fast track the selection process, metabolomic tools were used to aid strain selection by investigating differences in the chemical profiles of 77 bacterial extracts isolated from cold water marine invertebrates from Orkney, Scotland using liquid chromatography-high resolution mass spectrometry (LC-HRMS) and nuclear magnetic resonance (NMR) spectroscopy. Following mass spectrometric analysis and dereplication using an Excel macro developed in-house, principal component analysis (PCA) was employed to differentiate the bacterial strains based on their chemical profiles. NMR H-1 and correlation spectroscopy (COSY) were also employed to obtain a chemical fingerprint of each bacterial strain and to confirm the presence of functional groups and spin systems. These results were then combined with taxonomic identification and bioassay screening data to identify three bacterial strains, namely Bacillus sp. 4117, Rhodococcus sp. ZS402 and Vibrio splendidus strain LGP32, to prioritize for scale-up based on their chemically interesting secondary metabolomes, established through dereplication and interesting bioactivities, determined from bioassay screening.},
  language  = {en}
}