الفهرس 
Molecular markers and bio-data mining studies in vicia faba
Abstract EnglishOnly 14 pages are availabe for public view
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Abstract
Faba bean (Vicia faba L.) is an essential food and fodder legume crop worldwide due to its high content of proteins and fibers. Molecular markers tools represent an essential key for faba bean breeders toward rapid crop improvement. Despite the lack in the V. faba genome resources availability, few transcriptomes and mitochondrial genome sequence data have been released. These data in addition to previously developed genetic linkage maps represent a great raw material for developing functional markers and maps that can accelerate the faba bean breeding programs. In the present study, we present the Vicia faba Omics database (VfODB) as a comprehensive database integrating germplasm information, expressed sequence tags (ESTs), expressed sequence tags-simple sequence repeats (EST-SSRs), mitochondrial-simple sequence repeats (mtSSRs), microRNA-target markers and genetic maps in faba bean. Besides, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway-based markers and maps are integrated as a novel class of annotation-based markers/maps. Collectively, we developed 31536 EST markers, 9071 EST-SSR markers and 3023 microRNA-targets markers were developed based on theV. faba RefTrans V2 mining. By mapping 7940 EST and 2282 EST-SSR markers against the KEGG pathways database 100 functional mapswere successfully developed. Also, 40 mtSSR markers were developed based on mitochondrial genome mining. On the data curation level, 3461 markers representing twelve types of markers (CAPS, EST, EST-SSR, Gene marker, INDEL, Isozyme, ISSR, RAPD, SCAR, RGA, SNP and SSR), which mapped across 18 V. faba genetic linkage mapswere retrieved