CoffeebEST: an integrated resource for Coffea spp expressed sequence tags
A R Paschoal1, E D M Fernandes1, J C Silva1
1Universidade Tecnológica Federal do Paraná, Cornélio Procópio, PR, Brasil.
Genetics and Molecular Research : GMR
|December 20, 2014
Summary
This study analyzes coffee fruit development using expressed sequence tags (ESTs) from Coffea canephora. The CoffeebEST database offers a valuable resource for coffee genomics research.
Area of Science:
- Plant molecular biology
- Genomics
- Agricultural science
Background:
- Coffee is a globally significant commodity, primarily from Coffea arabica and Coffea canephora.
- Existing transcriptome data for coffee is underutilized, particularly for fruit and seed development.
Purpose of the Study:
- To conduct a comparative analysis of coffee transcriptomes focusing on fruit development.
- To analyze expressed sequence tags (ESTs) from Coffea canephora fruit across five developmental stages.
- To create a public database, CoffeebEST, for coffee genomics research.
Main Methods:
- Analysis of 29,009 EST sequences from Coffea canephora fruit.
- Comparison of C. canephora fruit ESTs against reference unigenes of C. canephora and C. arabica.
- Functional annotation using Gene Ontology and PlantCyc databases.
Main Results:
- The study analyzed 29,009 ESTs from five developmental stages of Coffea canephora fruit.
- Comparative analysis was performed against reference unigenes of both C. canephora and C. arabica.
- Functional annotations provided insights into genes involved in coffee fruit development.
Conclusions:
- The CoffeebEST database provides a user-friendly resource for the coffee scientific community.
- This database supports experimental research in comparative and functional genomics of coffee.
- The findings contribute to a better understanding of coffee fruit and seed development.
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