| Chapter title |
Microbial Community Profiling Using Terminal Restriction Fragment Length Polymorphism (T-RFLP) and Denaturing Gradient Gel Electrophoresis (DGGE)
|
|---|---|
| Chapter number | 8 |
| Book title |
Oral Biology
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6685-1_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6683-7, 978-1-4939-6685-1
|
| Authors |
José F. Siqueira Jr. D.D.S., M.Sc., Ph.D., Mitsuo Sakamoto, Alexandre S. Rosado, Siqueira, José F, Sakamoto, Mitsuo, Rosado, Alexandre S, José F. Siqueira |
| Editors |
Gregory J. Seymour, Mary P. Cullinan, Nicholas C.K. Heng |
| Abstract |
In their natural environments, microorganisms usually live in organized communities. Profiling analysis of microbial communities has recently assumed special relevance as it allows a thorough understanding of the diversity of the microbiota, its behavior over time, and the establishment of patterns associated with health and disease. The application of molecular biology approaches holds the advantage of including culture-difficult and as-yet-uncultivated phylotypes in the profiles, providing a more comprehensive picture of the microbial community. This chapter focuses on two particular techniques, namely, terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE), both of which have been widely used in environmental studies and have been successfully used by the authors in the study of the oral microbial communities associated with conditions of health and disease. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 22% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Immunology and Microbiology | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 4 | 44% |