| Title |
Genome-based cryptic gene discovery and functional identification of NRPS siderophore peptide in Streptomyces peucetius
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, July 2012
|
| DOI | 10.1007/s00253-012-4268-9 |
| Pubmed ID | |
| Authors |
Hae-Min Park, Byung-Gee Kim, Dongsook Chang, Sailesh Malla, Hwang-Soo Joo, Eun-jung Kim, Sei-Jin Park, Jae Kyung Sohng, Pyoung Il Kim |
| Abstract |
Identification of secondary metabolites produced by cryptic gene in bacteria may be difficult, but in the case of nonribosomal peptide (NRP)-type secondary metabolites, this study can be facilitated by bioinformatic analysis of the biosynthetic gene cluster and tandem mass spectrometry analysis. To illustrate this concept, we used mass spectrometry-guided bioinformatic analysis of genomic sequences to identify an NRP-type secondary metabolite from Streptomyces peucetius ATCC 27952. Five putative NRPS biosynthetic gene clusters were identified in the S. peucetius genome by DNA sequence analysis. Of these, the sp970 gene cluster encoded a complete NRPS domain structure, viz., C-A-T-C-A-T-E-C-A-T-C-A-T-C domains. Tandem mass spectrometry revealed that the functional siderophore peptide produced by this cluster had a molecular weight of 644.4 Da. Further analysis demonstrated that the siderophore peptide has a cyclic structure and an amino acid composition of AchfOrn-Arg-hOrn-hfOrn. The discovery of functional cryptic genes by analysis of the secretome, especially of NRP-type secondary metabolites, using mass spectrometry together with genome mining may contribute significantly to the development of pharmaceuticals such as hybrid antibiotics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 41 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 7 | 16% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 32% |
| Biochemistry, Genetics and Molecular Biology | 10 | 23% |
| Chemistry | 6 | 14% |
| Immunology and Microbiology | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2012.
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#21,608,038
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,994
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Outputs of similar age
#150,228
of 167,093 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#79
of 80 outputs
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