Chapter title |
Metagenomics and CAZyme Discovery
|
---|---|
Chapter number | 20 |
Book title |
Protein-Carbohydrate Interactions
|
Published in |
Methods in molecular biology, April 2017
|
DOI | 10.1007/978-1-4939-6899-2_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6898-5, 978-1-4939-6899-2
|
Authors |
Kunath, Benoit J., Bremges, Andreas, Weimann, Aaron, McHardy, Alice C., Pope, Phillip B., Benoit J. Kunath, Andreas Bremges, Aaron Weimann, Alice C. McHardy, Phillip B. Pope |
Editors |
D. Wade Abbott, Alicia Lammerts van Bueren |
Abstract |
Microorganisms play a primary role in regulating biogeochemical cycles and are a valuable source of enzymes that have biotechnological applications, such as carbohydrate-active enzymes (CAZymes). However, the inability to culture the majority of microorganisms that exist in natural ecosystems using common culture-dependent techniques restricts access to potentially novel cellulolytic bacteria and beneficial enzymes. The development of molecular-based culture-independent methods such as metagenomics enables researchers to study microbial communities directly from environmental samples, and presents a platform from which enzymes of interest can be sourced. We outline key methodological stages that are required as well as describe specific protocols that are currently used for metagenomic projects dedicated to CAZyme discovery. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 17% |
China | 1 | 17% |
Germany | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 7% |
Unknown | 26 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 25% |
Researcher | 5 | 18% |
Student > Master | 4 | 14% |
Student > Ph. D. Student | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Other | 2 | 7% |
Unknown | 5 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 32% |
Biochemistry, Genetics and Molecular Biology | 8 | 29% |
Immunology and Microbiology | 2 | 7% |
Chemistry | 2 | 7% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 5 | 18% |