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Gcorn Plant: A Database for Retrieving Functional and Evolutionary Traits of Plant Genes
Yoshiyuki Ogata1, Naohiro Kimura2, Ryosuke Sano3
1Graduate School of Life and Environmental Sciences, Osaka Prefecture University, Sakai, Osaka 599-8531, Japan ogata@plant.osakafu-u.ac.jp.
Plant Physiology
|April 12, 2019
Summary
The Gcorn plant database aids in understanding plant gene homology and evolution. It links homologous genes across 73 species, aiding research into plant speciation and function.
Area of Science:
- Plant biology
- Genomics
- Evolutionary biology
Background:
- Gene homology is crucial for understanding gene function and plant speciation.
- Increasing plant gene and species data necessitates integrated analysis tools.
- Associating homologous genes across diverse plant species enhances evolutionary insights.
Purpose of the Study:
- To develop the Gcorn plant database for retrieving information on plant gene homology and evolution.
- To facilitate the study of homologous genes within and across plant species.
- To provide a resource for investigating the evolutionary trajectories of plant genes.
Main Methods:
- Collected 2,682,261 amino acid sequences from 73 plant species (62 land plants, 11 green algae) from NCBI.
- Performed NCBI BLAST searches to group homologous genes based on author-devised homology indices.
- Developed visualizations including phylogenetic trees, line charts, and network graphs to represent gene homology and species relationships.
Main Results:
- Successfully grouped homologous genes across a wide range of plant species.
- Visualized functional and evolutionary traits using phylogenetic trees and network graphs.
- Integrated gene homology data with species phylogeny and speciation timelines.
Conclusions:
- The Gcorn database effectively integrates gene homology, function, and evolution data for plants.
- The database provides novel insights into plant speciation by analyzing homologous gene relationships.
- Gcorn serves as a valuable resource for researchers studying plant genomics and evolution.
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