ArticleBMC genomics2012
High-throughput novel microsatellite marker of faba bean via next generation sequencing.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Cross-species transferability and genetic diversity analysis in Linum species using microsatellite markers.Scientific reports · 2026Article
- Construction of a high-density genetic map for faba bean (Frontiers in plant science · 2023Article
- Article
- Genomics Associated Interventions for Heat Stress Tolerance in Cool Season Adapted Grain Legumes.International journal of molecular sciences · 2021Review
- Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Developing a new genic SSR primer database in faba bean (Vicia faba L.).Journal of applied genetics · 2021Article
- Article
- Genetic Diversity Studies and Identification of Molecular and Biochemical Markers Associated with Fusarium Wilt Resistance in Cultivated Faba Bean (The plant pathology journal · 2020Article
- Article
- Identification and characterization of microsatellite loci in West Atlantic sea cucumberJournal of genetics · 2018Article
- Article
- Characterization and transferability of microsatellites forApplications in plant sciences · 2018Article
- Genetic variability in Tunisian populations of faba bean (Physiology and molecular biology of plants : an international journal of functional plant biology · 2017Article
- Enhancing faba bean (Vicia faba L.) genome resources.Journal of experimental botany · 2017Article
- RNA-Seq of Guar (Frontiers in plant science · 2017Article
- Genetic Diversity and Population Structure of Broomcorn Millet (Panicum miliaceum L.) Cultivars and Landraces in China Based on Microsatellite Markers.International journal of molecular sciences · 2016Article
- Advances in Faba Bean Genetics and Genomics.Frontiers in genetics · 2016Review
- Genetic Diversity and Population Structure in Vicia faba L. Landraces and Wild Related Species Assessed by Nuclear SSRs.PloS one · 2016Article
- Assessment of genetic diversity among faba bean genotypes using agro-morphological and molecular markers.Saudi journal of biological sciences · 2015Article
- Genome-wide identification of SSR and SNP markers from the non-heading Chinese cabbage for comparative genomic analyses.BMC genomics · 2015Article
Corrections and comments
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundFaba bean (Vicia faba L.) is an important food legume crop, grown for human consumption globally including in China, Turkey, Egypt and Ethiopia. Although genetic gain has been made through conventional selection and breeding efforts, this could be substantially improved through the application of molecular methods. For this, a set of reliable molecular markers representative of the entire genome is required.
resultsA library with 125,559 putative SSR sequences was constructed and characterized for repeat type and length from a mixed genome of 247 spring and winter sown faba bean genotypes using 454 sequencing. A suit of 28,503 primer pair sequences were designed and 150 were randomly selected for validation. Of these, 94 produced reproducible amplicons that were polymorphic among 32 faba bean genotypes selected from diverse geographical locations. The number of alleles per locus ranged from 2 to 8, the expected heterozygocities ranged from 0.0000 to 1.0000, and the observed heterozygosities ranged from 0.0908 to 0.8410. The validation by UPGMA cluster analysis of 32 genotypes based on Nei's genetic distance, showed high quality and effectiveness of those novel SSR markers developed via next generation sequencing technology.
conclusionsLarge scale SSR marker development was successfully achieved using next generation sequencing of the V. faba genome. These novel markers are valuable for constructing genetic linkage maps, future QTL mapping, and marker-assisted trait selection in faba bean breeding efforts.
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