| Chapter title |
Monitoring microbial diversity of bioreactors using metagenomic approaches.
|
|---|---|
| Chapter number | 4 |
| Book title |
Reprogramming Microbial Metabolic Pathways
|
| Published in |
Sub cellular biochemistry, January 2012
|
| DOI | 10.1007/978-94-007-5055-5_4 |
| Pubmed ID | |
| Book ISBNs |
978-9-40-075054-8, 978-9-40-075055-5
|
| Authors |
Joshua T Ellis, Ronald C Sims, Charles D Miller, Joshua T. Ellis, Ronald C. Sims, Charles D. Miller |
| Abstract |
With the rapid development of molecular techniques, particularly 'omics' technologies, the field of microbial ecology is growing rapidly. The applications of next generation sequencing have allowed researchers to produce massive amounts of genetic data on individual microbes, providing information about microbial communities and their interactions through in situ and in vitro measurements. The ability to identify novel microbes, functions, and enzymes, along with developing an understanding of microbial interactions and functions, is necessary for efficient production of useful and high value products in bioreactors. The ability to optimize bioreactors fully and understand microbial interactions and functions within these systems will establish highly efficient industrial processes for the production of bioproducts. This chapter will provide an overview of bioreactors and metagenomic technologies to help the reader understand microbial communities, interactions, and functions in bioreactors. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Other | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 24 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Environmental Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 27 | 60% |