ArticleBioinformation2015
Analysis of expressed sequence tags from cDNA library of Fusarium culmorum infected barley (Hordeum vulgare L.) roots.
Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Identification of salt-responsive genes from C4 halophytePhysiology and molecular biology of plants : an international journal of functional plant biology · 2020Article
- Breeding Strategies and Challenges in the Improvement of Blast Disease Resistance in Finger Millet. A Current Review.Frontiers in plant science · 2020Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fusarium culmorum is one of the most common and globally important causal agent of root and crown rot diseases of cereals. These diseases cause grain yield loss and reduced grain quality in barley. In this study, we have analyzed an expressed sequence tag (EST) database derived from F. culmorum infected barley root tissues available at the National Center for Biotechnology Information (NCBI). The 2294 sequences were assembled into 1619 non-redundant sequences consisting of 359 contigs and 1260 singletons using the program CAP3. BLASTX analysis for these sequences was conducted in order to find similar sequences in all databases. Gene Ontology search, enzyme search, KEGG mapping and InterProScan search were done using Blast2GO 3.0.7 tool. By BLASTX analysis, 41.7%, 7.7%, 3.2% and 47.4% of ESTs were categorized as annotated, unannotated, not mapping and without blast hits, respectively. BLASTX analysis revealed that the majority of top hits were barley proteins (43.5%). Based on Gene Ontology classification, 38.3%, 31.3%, and 16% of ESTs were assigned to molecular function, biological process, and cellular component GO terms, respectively. Most abundant GO terms were as follows: 157 sequences were related to response to stress (biological process), 207 sequences were related to ion binding (molecular function), and 160 sequences were related to plastid (cellular component). Furthermore, based on KEGG mapping, 369 sequences could be assigned to 264 enzymes and 83 different KEGG pathways. According to Enzyme Commission (EC) distribution; 94 sequences were transferases (EC2) while 70 sequences were hydrolases (EC3).
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