BackgroundThere is no dedicated database available for Expressed Sequence Tags (EST) of the chili pepper (Capsicum annuum), although the interest in a chili pepper EST database is increasing internationally due to the nutritional, economic, and pharmaceutical value of the plant. Recent advances in high-throughput sequencing of the ESTs of chili pepper cv. Bukang have produced hundreds of thousands of complementary DNA (cDNA) sequences. Therefore, a chili pepper EST database was designed and constructed to enable comprehensive analysis of chili pepper gene expression in response to biotic and abiotic stresses.ResultsWe built the Pepper EST database to mine the complexity of chili pepper ESTs. The database was built on 122,582 sequenced ESTs and 116,412 refined ESTs from 21 pepper EST libraries. The ESTs were clustered and assembled into virtual consensus cDNAs and the cDNAs were assigned to metabolic pathway, Gene Ontology (GO), and MIPS Functional Catalogue (FunCat). The Pepper EST database is designed to provide a workbench for (i) identifying unigenes in pepper plants, (ii) analyzing expression patterns in different developmental tissues and under conditions of stress, and (iii) comparing the ESTs with those of other members of the Solanaceae family. The Pepper EST database is freely available at http://genepool.kribb.re.kr/pepper/.ConclusionThe Pepper EST database is expected to provide a high-quality resource, which will contribute to gaining a systemic understanding of plant diseases and facilitate genetics-based population studies. The database is also expected to contribute to analysis of gene synteny as part of the chili pepper sequencing project by mapping ESTs to the genome.
Pepper EST database: comprehensive in silico tool for analyzing the chili pepper (Capsicum annuum) transcriptome
Hyun-Jin Kim,K. Baek,Seung-won Lee,Jungeun Kim,Bong-Woo Lee,H. Cho,W. Kim,D. Choi,Cheol-Goo Hur
Published 2008 in BMC Plant Biology
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- Publication year
2008
- Venue
BMC Plant Biology
- Publication date
2008-10-09
- Fields of study
Agricultural and Food Sciences, Medicine, Biology, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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