| Chapter title |
Restriction-Modification Systems as a Barrier for Genetic Manipulation of Staphylococcus aureus.
|
|---|---|
| Chapter number | 180 |
| Book title |
The Genetic Manipulation of Staphylococci
|
| Published in |
Methods in molecular biology, February 2015
|
| DOI | 10.1007/7651_2014_180 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3157-6, 978-1-4939-3158-3
|
| Authors |
Marat R Sadykov, Sadykov MR, Marat R. Sadykov, Sadykov, Marat R. |
| Abstract |
Genetic manipulation is a powerful approach to study fundamental aspects of bacterial physiology, metabolism, and pathogenesis. Most Staphylococcus aureus strains are remarkably difficult to genetically manipulate as they possess strong host defense mechanisms that protect bacteria from cellular invasion by foreign DNA. In S. aureus these bacterial "immunity" mechanisms against invading genomes are mainly associated with restriction-modification systems. To date, prokaryotic restriction-modification systems are classified into four different types (Type I-IV), all of which have been found in the sequenced S. aureus genomes. This chapter describes the roles, classification, mechanisms of action of different types of restriction-modification systems and the recent advances in the biology of restriction and modification in S. aureus. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Student > Bachelor | 8 | 19% |
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 1 | 2% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 33% |
| Agricultural and Biological Sciences | 11 | 26% |
| Immunology and Microbiology | 2 | 5% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 30% |