dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation

Area of Science:

• Microbiology
• Bioinformatics
• Biochemistry

Background:

• Carbohydrate-active enzymes (CAZymes) are crucial for bioenergy, agriculture, and human health.
• Human gut microbiota possess numerous CAZyme genes essential for carbohydrate metabolism.

Purpose of the Study:

• To introduce dbCAN-seq, a novel online database for bacterial CAZyme sequence and annotation data.
• To provide enhanced features for CAZyme research, complementing existing resources like dbCAN and CAZy.

Main Methods:

• Compilation of pre-computed CAZyme sequence and annotation data for 5,349 bacterial genomes.
• Development of a web resource with features including batch download, comprehensive annotation pages, metadata organization, CAZyme gene cluster identification, and advanced search functionality.

Main Results:

• dbCAN-seq offers batch download capabilities for all sequence and annotation data.
• Provides detailed annotation for each CAZyme and organizes genomes by metadata (disease, habitat, etc.).
• Includes a fast tool for identifying physically linked CAZyme gene clusters (CGCs) and a powerful search function.

Conclusions:

• dbCAN-seq serves as a valuable web resource for CAZyme research.
• Its unique features facilitate efficient data query and analysis of CAZymes in bacterial genomes.
• The database complements existing CAZyme resources, enhancing the study of these important enzymes.