Chemical Fungal Taxonomy

edited by Jens C. Frisvad, Paul D. Bridge, and Dilip K. Arora

This unique, single-source reference—the only book of its kind available on the subject—offers comprehensive coverage of the latest developments in both biochemical and physiological approaches to fungal systematics. Facilitates communication among scientists in the fields of mycology, physiology, biochemistry, food science, genetics, molecular biology, and ecology!

Incorporating advances in biochemical and molecular biology into systematics methods that can revolutionize taxonomic schemes, Chemical Fungal Taxonomy discusses:

• the use of restriction fragment length polymorphisms in fungal systematics
• the taxonomic applications of proteins, fatty acids, carbohydrates, polysaccharides, and lipids
• techniques in fungal immunotaxonomy
• the role of secondary metabolites in systematics
• the use of metabolic data in lichen-forming fungi
• the numerical analysis of taxonomic information
• and more!

Containing nearly 1000 bibliographic citations for more in-depth study of particular topics, Chemical Fungal Taxonomy is a necessary resource for mycologists, microbiologists, biochemists, food scientists, fungal and microbial ecologists, plant pathologists, biotechnologists, botanists, agriculturalists, and upper-level undergraduate and graduate students in these disciplines.

Contents

1. Chemical Fungal Taxonomy: An Overview
2. Numerical Analysis of Fungal Chemotaxonomic Data
3. Use of PCR and RFLP in Fungal Systematics
4. Proteins in Fungal Taxonomy
5. Use of Isozymes in Fungal Taxonomy and Population Studies
6. Fungal Immunotaxonomy
7. Taxonomic Applications of Polysaccharides
8. Chemotaxonomy of Fungi by Unsaponifiable Lipids
9. Fatty Acids in Fungal Taxonomy
10. Carbohydrates and Their Impact on Fungal Taxonomy
11. Volatiles in Fungal Taxonomy
12. Role and Use of Secondary Metabolites in Fungal Taxonomy
13. Special Metabolites in Relation to Conditions of Growth
14. Taxonomic Use of Metabolic Data in Lichen-Forming Fungi

Index

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