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| Alvarenga,Samuel Mazzinghy; Caixeta,Eveline Teixeira; Hufnagel,Bárbara; Thiebaut,Flávia; Maciel-Zambolim,Eunize; Zambolimand,Laércio; Sakiyama,Ney Sussumu. |
| Sequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Coffea; Data mining; ESTs; Genomics; In silico; Bioinformatics. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400031 |
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