ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2018
GinMicrosatDb: a genome-wide microsatellite markers database for sesame (
Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Application of Single Nucleotide Polymorphisms (SNPs) in Sesame (Sesamum indicum L.) for Genetic Diversity, Mapping, and Marker-Assisted Selection.Methods in molecular biology (Clifton, N.J.) · 2027Article
- SesamumGDB: a comprehensive platform for Sesamum genetics and genomics analysis.Database : the journal of biological databases and curation · 2024Article
- Sesame, an Underutilized Oil Seed Crop: Breeding Achievements and Future Challenges.Plants (Basel, Switzerland) · 2024Review
- Streamlining of Simple Sequence Repeat Data Mining Methodologies and Pipelines for Crop Scanning.Plants (Basel, Switzerland) · 2024Review
- Discovering favorable genes, QTLs, and genotypes as a genetic resource for sesame (Frontiers in genetics · 2022Review
- Genome-wide association study of vitamin E using genotyping by sequencing in sesame (Sesamum indicum).Genes & genomics · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular breeding in sesame is still at infancy due to limited number of microsatellite markers available and the low level of polymorphism exhibited by them. Therefore, whole genome sequencing was used for development of microsatellite markers so as to ensure availability of substantial number of polymorphic markers for use in marker assisted breeding programs. Whole genome sequencing of sesame variety 'Swetha' was done using Illumina paired-end sequencing and Roche 454 shotgun sequencing technologies (GCA_000975565.1 in GenBank). 'GinMicrosatDb', a genome-wide microsatellite marker database has been developed using the whole genome sequence data of sesame variety 'Swetha'. The database consists of microsatellites localized on both linkage groups and scaffolds with their genomic co-ordinates. It provides five sets of forward and reverse primers for each of the microsatellite loci along with the flanking sequences, primer GC content, product size and melting temperature etc. The distribution of microsatellites can be viewed and selected through a genome browser as well as through a physical map. The newly identified microsatellite markers are expected to help sesame breeders in developing marker tags for traits of economic importance thereby bringing about greater efficiency in marker-assisted selection programs.
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Registered trials
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