Bioinformatic identification of polymerizing and transmembrane mucins in the puffer fish Fugu rubripes

Area of Science:

• Biochemistry and Molecular Biology
• Genomics and Bioinformatics
• Evolutionary Biology

Background:

• Mucins are large, heavily glycosylated proteins containing characteristic mucin domains rich in serine, threonine, and proline.
• Identifying mucins from genomic and protein sequences is challenging due to low sequence conservation within mucin domains.

Purpose of the Study:

• To develop and apply a computational strategy for accurate mucin prediction from genomic and protein data.
• To identify and characterize mucins in the pufferfish Fugu rubripes, expanding our understanding of mucin evolution.

Main Methods:

• Developed a prediction strategy based on the amino acid compositional bias of mucin domains.
• Integrated analysis of other common mucin features alongside compositional bias.
• Applied the developed method to analyze Fugu rubripes genomic and protein sequences.

Main Results:

• Successfully identified and annotated previously undiscovered mucins in Fugu rubripes.
• Found at least three gel-forming mucins with domain structures similar to human MUC2.
• Identified one transmembrane mucin possessing SEA and EGF domains, analogous to mammalian transmembrane mucins.

Conclusions:

• The number of gel-forming mucins appears to be conserved throughout vertebrate evolution.
• The family of transmembrane mucins has undergone significant expansion in higher vertebrates.
• The developed prediction strategy is effective for identifying mucins across diverse species.