Literature DB >> 33408850

VfODB: a comprehensive database of ESTs, EST-SSRs, mtSSRs, microRNA-target markers and genetic maps in Vicia faba.

Morad M Mokhtar1, Ebtissam H A Hussein2, Salah El-Din S El-Assal2, Mohamed A M Atia1.   

Abstract

Faba bean (Vicia faba) is an essential food and fodder legume crop worldwide due to its high content of proteins and fibres. Molecular markers tools represent an invaluable tool for faba bean breeders towards rapid crop improvement. Although there have historically been few V. faba genome resources available, several transcriptomes and mitochondrial genome sequence data have been released. These data in addition to previously developed genetic linkage maps represent a great resource for developing functional markers and maps that can accelerate the faba bean breeding programmes. Here, 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), and mitochondrial-simple sequence repeats (mtSSRs), microRNA-target markers and genetic maps in faba bean. In addition, KEGG pathway-based markers and functional maps are integrated as a novel class of annotation-based markers/maps. Collectively, we developed 31 536 EST markers, 9071 EST-SSR markers and 3023 microRNA-target markers based on V. faba RefTrans V2 mining. By mapping 7940 EST and 2282 EST-SSR markers against the KEGG pathways database we successfully developed 107 functional maps. Also, 40 mtSSR markers were developed based on mitochondrial genome mining. On the data curation level, we retrieved 3461 markers representing 12 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 maps. VfODB provides two user-friendly tools to identify, classify SSR motifs and in silico amplify their targets. VfODB can serve as a powerful database and helpful platform for faba bean research community as well as breeders interested in Genomics-Assisted Breeding.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Annals of Botany Company.

Entities:  

Keywords:  Faba bean; Vicia faba; genetic maps; molecular breeding; molecular markers

Year:  2020        PMID: 33408850      PMCID: PMC7759246          DOI: 10.1093/aobpla/plaa064

Source DB:  PubMed          Journal:  AoB Plants            Impact factor:   3.276


  6 in total

Review 1.  Advances in disease and pest resistance in faba bean.

Authors:  Diego Rubiales; Hamid Khazaei
Journal:  Theor Appl Genet       Date:  2022-02-19       Impact factor: 5.699

2.  Salt Priming as a Smart Approach to Mitigate Salt Stress in Faba Bean (Vicia faba L.).

Authors:  Amira K Nasrallah; Mohamed A M Atia; Reem M Abd El-Maksoud; Maimona A Kord; Ahmed S Fouad
Journal:  Plants (Basel)       Date:  2022-06-20

Review 3.  Genomics Associated Interventions for Heat Stress Tolerance in Cool Season Adapted Grain Legumes.

Authors:  Jitendra Kumar; Reyazul Rouf Mir; Safoora Shafi; Debjyoti Sen Gupta; Ivica Djalovic; Jegor Miladinovic; Rahul Kumar; Sachin Kumar; Rajeev Kumar
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

Review 4.  Recent advances in faba bean genetic and genomic tools for crop improvement.

Authors:  Hamid Khazaei; Donal M O'Sullivan; Frederick L Stoddard; Kedar N Adhikari; Jeffrey G Paull; Alan H Schulman; Stig U Andersen; Albert Vandenberg
Journal:  Legum Sci       Date:  2021-02-18

5.  PlantPathMarks (PPMdb): an interactive hub for pathways-based markers in plant genomes.

Authors:  Morad M Mokhtar; Achraf El Allali; Mohamed-Elamir F Hegazy; Mohamed A M Atia
Journal:  Sci Rep       Date:  2021-10-29       Impact factor: 4.379

6.  Genetic diversity, antifungal evaluation and molecular docking studies of Cu-chitosan nanoparticles as prospective stem rust inhibitor candidates among some Egyptian wheat genotypes.

Authors:  Hanaa S Omar; Abdullah Al Mutery; Neama H Osman; Nour El-Houda A Reyad; Mohamed A Abou-Zeid
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.