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Vertebrate paralogous CRMPs in nervous system: evolutionary, structural, and functional interplay.
Yanyan Tang1, Ziming Ye, Yunfei Wei
1Department of Neurology, First Affiliated Hospital, Guangxi Medical University, No. 22, Shuang Yong Road, 530021, Nanning, Guangxi, China.
Collapsin response mediator proteins (CRMPs) evolved through gene duplication in vertebrates. This study reveals their evolutionary history and identifies key sites under selection, offering insights into nervous system development and disease.
Area of Science:
- Neuroscience
- Evolutionary Biology
- Genomics
Background:
- Collapsin response mediator proteins (CRMPs) are crucial for neural network formation during development.
- The evolutionary history and selection pressures on CRMPs in vertebrates remain largely unexplored.
Purpose of the Study:
- To conduct a comprehensive bioinformatics analysis of the CRMP family in vertebrates.
- To investigate the phylogenetic relationships, evolutionary transitions, and selection pressures acting on CRMPs.
- To identify key amino acid residues influencing CRMP functional divergence.
Main Methods:
- Phylogenetic analysis using genome data to identify CRMP homologues.
- Application of site-specific, branch-specific, and branch-site models to estimate molecular substitution rates and detect positive selection.
- Protein structure analysis to assess functional significance.
Main Results:
- Evidence suggests CRMP family expansion in vertebrates potentially through gene duplication, leading to five members.
- Evolutionary transitions between CRMP gene clusters correlate with functional property changes.
- Nineteen positively selected sites and critical amino acid residues were identified, linked to distinct paralogue functions.
Conclusions:
- This study provides the first detailed phylogeny and evolutionary selection analysis of the CRMP family in vertebrates.
- Identified CRMP evolutionary dynamics and functional residues offer insights into nervous system development and disease pathogenesis.
- Findings suggest potential avenues for targeted therapies informed by molecular evolution.
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