Journal
MOLECULAR BIOLOGY AND EVOLUTION
Volume 39, Issue 5, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msac105
Keywords
fertilization; gene duplication; molecular evolution; machine learning; phylogenetics; protein structure
Funding
- NIH [R21HD105025, K99HD090201]
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The rapid evolution of fertilization proteins has led to diversity in molecular structure and function. The study focuses on the ZP-N domains in vertebrate egg coat glycoproteins, which have diversified in structure and function. The modular ZP-N domains are associated with another domain type and have a stabilizing network absent in free domains.
The rapid evolution of fertilization proteins has generated remarkable diversity in molecular structure and function. Glycoproteins of vertebrate egg coats contain multiple zona pellucida (ZP)-N domains (1-6 copies) that facilitate multiple reproductive functions, including species-specific sperm recognition. In this report, we integrate phylogenetics and machine learning to investigate how ZP-N domains diversify in structure and function. The most C-terminal ZP-N domain of each paralog is associated with another domain type (ZP-C), which together form a ZP module. All modular ZP-N domains are phylogenetically distinct from nonmodular or free ZP-N domains. Machine learning-based classification identifies eight residues that form a stabilizing network in modular ZP-N domains that is absent in free domains. Positive selection is identified in some free ZP-N domains. Our findings support that strong purifying selection has conserved an essential structural core in modular ZP-N domains, with the relaxation of this structural constraint allowing free N-terminal domains to functionally diversify.
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