| Chapter title |
Functional Metagenomics: Construction and High-Throughput Screening of Fosmid Libraries for Discovery of Novel Carbohydrate-Active Enzymes.
|
|---|---|
| Chapter number | 15 |
| Book title |
Microbial Environmental Genomics (MEG)
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3369-3_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3367-9, 978-1-4939-3369-3
|
| Authors |
Ufarté, Lisa, Bozonnet, Sophie, Laville, Elisabeth, Cecchini, Davide A, Pizzut-Serin, Sandra, Jacquiod, Samuel, Demanèche, Sandrine, Simonet, Pascal, Franqueville, Laure, Potocki Veronese, Gabrielle, Lisa Ufarté, Sophie Bozonnet, Elisabeth Laville, Davide A. Cecchini, Sandra Pizzut-Serin, Samuel Jacquiod, Sandrine Demanèche, Pascal Simonet, Laure Franqueville, Gabrielle Potocki Veronese |
| Editors |
Francis Martin, Stephane Uroz |
| Abstract |
Activity-based metagenomics is one of the most efficient approaches to boost the discovery of novel biocatalysts from the huge reservoir of uncultivated bacteria. In this chapter, we describe a highly generic procedure of metagenomic library construction and high-throughput screening for carbohydrate-active enzymes. Applicable to any bacterial ecosystem, it enables the swift identification of functional enzymes that are highly efficient, alone or acting in synergy, to break down polysaccharides and oligosaccharides. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 7% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Student > Master | 6 | 20% |
| Researcher | 6 | 20% |
| Student > Bachelor | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 37% |
| Biochemistry, Genetics and Molecular Biology | 10 | 33% |
| Environmental Science | 3 | 10% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 5 | 17% |