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Model Organisms in Aging Research: Evolution of Database Annotation and Ortholog Discovery
Elizaveta Sarygina1, Anna Kliuchnikova1, Svetlana Tarbeeva1
1Institute of Biomedical Chemistry, 119121 Moscow, Russia.
Genes
|January 25, 2025
Summary
Exploring model organisms reveals that simpler species like bacteria and fungi have more detailed genomic data. This aids in understanding aging mechanisms and identifying aging-related genes in well-studied organisms.
Area of Science:
- Genomics
- Proteomics
- Aging Research
Background:
- Utilizes UniProtKB (Swiss-Prot) knowledge base for model organism annotation.
- Focuses on genomic and post-genomic data in relation to aging.
- Aging serves as a model for studying molecular mechanisms of physiological and pathological states.
Purpose of the Study:
- Analyze the exploration degree of popular model organisms.
- Understand genomic and post-genomic data relevant to aging.
- Identify orthologs of human aging genes in model species.
Main Methods:
- Characterized organisms using parameters like gene splice variants and post-translational modifications.
- Calculated proteome sizes and the number of possible proteoforms per species.
- Searched for orthologs of human aging genes in selected model organisms.
Main Results:
- More primitive species (bacteria, fungi) exhibit more comprehensive genomic and post-genomic data due to experimental accessibility.
- Well-studied model organisms' genomes facilitate detailed aging analysis.
- A greater number of aging-related orthologous genes were identified in extensively studied model organisms.
Conclusions:
- Annotating genomes of less-studied species is crucial for identifying orthologs of genes linked to complex physiological processes like aging.
- Comprehensive genomic studies are needed for species with unique traits related to longevity and resilience.
- Enhancing genomic annotation aids in understanding aging and age-related diseases.
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