Title |
Systems Biology Approaches to Understand Natural Products Biosynthesis
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, December 2015
|
DOI | 10.3389/fbioe.2015.00199 |
Pubmed ID | |
Authors |
Cuauhtemoc Licona-Cassani, Pablo Cruz-Morales, Angel Manteca, Francisco Barona-Gomez, Lars K. Nielsen, Esteban Marcellin |
Abstract |
Actinomycetes populate soils and aquatic sediments that impose biotic and abiotic challenges for their survival. As a result, actinomycetes metabolism and genomes have evolved to produce an overwhelming diversity of specialized molecules. Polyketides, non-ribosomal peptides, post-translationally modified peptides, lactams, and terpenes are well-known bioactive natural products with enormous industrial potential. Accessing such biological diversity has proven difficult due to the complex regulation of cellular metabolism in actinomycetes and to the sparse knowledge of their physiology. The past decade, however, has seen the development of omics technologies that have significantly contributed to our better understanding of their biology. Key observations have contributed toward a shift in the exploitation of actinomycete's biology, such as using their full genomic potential, activating entire pathways through key metabolic elicitors and pathway engineering to improve biosynthesis. Here, we review recent efforts devoted to achieving enhanced discovery, activation, and manipulation of natural product biosynthetic pathways in model actinomycetes using genome-scale biological datasets. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Mexico | 1 | 13% |
Australia | 1 | 13% |
Switzerland | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Australia | 1 | 2% |
Unknown | 55 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 28% |
Researcher | 9 | 16% |
Student > Bachelor | 6 | 11% |
Student > Master | 6 | 11% |
Student > Doctoral Student | 2 | 4% |
Other | 7 | 12% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 30% |
Agricultural and Biological Sciences | 13 | 23% |
Immunology and Microbiology | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Chemistry | 2 | 4% |
Other | 4 | 7% |
Unknown | 17 | 30% |