Advances in applied microbiology. Volume eighty seven /
Published since 1959, Advances in Applied Microbiology continues to be one of the most widely read and authoritative review sources in microbiology. The series contains comprehensive reviews of the most current research in applied microbiology. Recent areas covered include bacterial diversity in the...
Clasificación: | Libro Electrónico |
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Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Diego, California :
Academic Press,
2014.
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Colección: | Advances in Applied Microbiology ;
Volume 87 |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Advances in Applied Microbiology; Copyright; Contents; Contributors; Chapter One: The Tools for Virulence of Cryptococcus neoformans; 1. Introduction to Cryptococcus neoformans and Cryptococcosis; 2. What Tools Allow C. neoformans to Become a Pathogen?; 2.1. The host-pathogen duo and virulence as an emergent property; 2.2. Thermotolerance; 2.3. Acquisition of nutrients; 2.4. Capsule; 2.5. Melanin and laccase; 2.6. Urease; 2.7. Phospholipase; 2.8. Oxidative defenses; 2.9. Antiphagocytic protein 1; 2.10. Other virulence factors; 2.11. Secreted vesicles; 2.12. Morphological changes
- 3. How Does C. neoformans Survive Within a Host?3.1. Intracellular survival of C. neoformans; 3.2. Nonlytic exocytosis; 3.3. Dissemination: Penetration blood-brain barrier; 3.4. Subversion of host immune response; 4. Why Is C. neoformans Successful as a Pathogen?; 5. Future Directions; References; Chapter Two: Community Interactions of Oral Streptococci; 1. Introduction; 2. The Oral Streptococci; 2.1. Mitis group; 2.2. Anginosus group; 2.3. Salivarius group; 2.4. Mutans group; 3. Co-occurrence and Colocalization of Streptococci with Other Oral Microorganisms; 3.1. Co-occurrence relationships
- 3.2. Spatial interactions3.3. Models for studying streptococcal interactions; 4. Community Integration Factors; 4.1. Coaggregation-mediating adhesins and receptors; 4.1.1. Receptor polysaccharides; 4.1.2. Antigen I/II proteins; 4.1.3. CshA/B polypeptides; 4.1.4. Glyceraldehyde-3-phosphate dehydrogenase; 4.2. Autoinducer-2; 4.3. Peptide signals for genetic competence; 4.4. Bacteriocins; 4.4.1. Class I (lantibiotics); 4.4.2. Class II (unmodified peptides of <10 kDa); 4.5. Hydrogen peroxide (H2O2); 4.6. Lactic acid; 4.7. Extracellular enzymes; 4.7.1. Arginine deiminase
- 3.3. Enzyme superfamilies as a useful way to organize data for the prediction of function3.4. An approach to identify potential new functions from metagenomic data using the superfamily context; 3.5. Additional resources for data-driven bioprospecting; 3.5.1. Protein similarity networks; 4. Role of Enzyme Engineering in Bioprospecting; 4.1. Introduction; 4.2. Defining desired biocatalytic properties and identifying possible best targets; 4.3. Rational, semirational, and random libraries; 4.3.1. Theoretical-based approaches toward library design: Rational and semirational approaches