Double blind microarray-based polysaccharide profiling enables parallel identification of uncharacterized...

Area of Science:

• Marine microbiology
• Biogeochemistry
• Carbohydrate chemistry

Background:

• Marine algae are significant carbon sources, with microbial degradation of their polysaccharides being key to the ocean carbon cycle.
• Marine polysaccharides and their degrading proteins are complex and poorly understood, creating a knowledge gap.
• Genomic data reveals many carbohydrate-active genes, but their specific functions and substrates are often uncharacterized.

Purpose of the Study:

• To address the 'double blind' problem of unknown marine proteins and their polysaccharide substrates.
• To develop a high-throughput strategy for screening protein activities and polysaccharide occurrence.
• To characterize novel polysaccharide-binding proteins and link them to specific algal groups.

Main Methods:

• Integration of glycan microarrays, specifically Comprehensive Microarray Polymer Profiling (CoMPP), with a medium-throughput protein expression system.
• Application of the Double Blind CoMPP (DB-CoMPP) methodology to marine genes.
• Screening of marine genes for polysaccharide-binding proteins and characterization of their corresponding glycan ligands.

Main Results:

• Successfully characterized novel polysaccharide-binding proteins from marine environments.
• Established direct links between specific proteins and their algal polysaccharide ligands.
• Demonstrated the potential of the DB-CoMPP technique for diverse biological samples.

Conclusions:

• The DB-CoMPP method effectively bridges the knowledge gap between marine proteins and polysaccharides.
• This approach enhances our understanding of microbial roles in the ocean carbon cycle.
• The DB-CoMPP technique is a versatile tool applicable to various biological sources for functional glycomics.