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Efficient identification of NLR by using a genome-wide protein domain and motif survey program, Ex-DOMAIN.
Narusaka, Mari; Yunokawa, Harunobu; Narusaka, Yoshihiro.
Afiliação
  • Narusaka M; Okayama Prefectural Technology Center for Agriculture, Forestry, and Fisheries, Research Institute for Biological Sciences, Okayama 716-1241, Japan.
  • Yunokawa H; Maze Inc., Tokyo 193-0835, Japan.
  • Narusaka Y; Okayama Prefectural Technology Center for Agriculture, Forestry, and Fisheries, Research Institute for Biological Sciences, Okayama 716-1241, Japan.
Plant Biotechnol (Tokyo) ; 35(2): 177-180, 2018 Jun 25.
Article em En | MEDLINE | ID: mdl-31819721
Genomic and amino acid sequences of organisms are freely available from various public databases. We designed a genome-wide survey program, named "Ex-DOMAIN" (exhaustive domain and motif annotator using InterProScan), of protein domains and motifs to aid in the identification and characterization of proteins by using the InterProScan sequence analysis application, which can display information and annotations of targeted proteins and genes, conserved protein domains and motifs, chromosomal locations, and structural diversities of target proteins. In this study, we indicated the disease resistance genes (proteins) that play an important role in defense against pathogens in Arabidopsis thaliana (thale cress) and Cucumis sativus (cucumber), by searches based on the conserved protein domains, NB-ARC (a nucleotide-binding adaptor shared by the apoptotic protease-activating factor-1, plant resistance proteins, and Caenorhabditis elegans death-4 protein) and C-terminal leucine-rich repeat (LRR), in the nucleotide-binding domain and LRR (NLR) proteins. Our findings suggest that this program will enable searches for various protein domains and motifs in all organisms.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article