Evidence map›Paper›PMID 31147679›Full record

ArticleDatabase : the journal of biological databases and curation2019

VigSatDB: genome-wide microsatellite DNA marker database of three species of Vigna for germplasm characterization and improvement.

Rahul Singh Jasrotia, Pramod Kumar Yadav, Mir Asif Iquebal, S B Bhatt, Vasu Arora, U B Angadi, Rukam Singh Tomar, Sarika Jaiswal, Anil Rai, Dinesh Kumar

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Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Unique Salt-Tolerance-Related QTLs, Evolved inPlants (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Review
  10. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rahul Singh JasrotiaSam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, India.
Pramod Kumar YadavSam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, India.
Mir Asif IquebalCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.
S B BhattDepartment of Biochemistry and Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India.
Vasu AroraCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.
U B AngadiCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.
Rukam Singh TomarDepartment of Biochemistry and Biotechnology, Junagadh Agricultural University, Junagadh, Gujarat, India.
Sarika JaiswalCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.
Anil RaiCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.
Dinesh KumarCentre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi , India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genus Vigna represented by more than 100 species is a source of nutritious edible seeds and sprouts that are rich sources of protein and dietary supplements. It is further valuable because of therapeutic attributes due to its antioxidant and anti-diabetic properties. A highly diverse and an extremely ecological niche of different species can be valuable genomic resources for productivity enhancement. It is one of the most underutilized crops for food security and animal feeds. In spite of huge species diversity, only three species of Vigna have been sequenced; thus, there is a need for molecular markers for the remaining species. Computational approach of microsatellite marker discovery along with evaluation of polymorphism utilizing available genomic data of different genotypes can be a quick and an economical approach for genomic resource development. Cross-species transferability by e-PCR over available genomes can further prioritize the potential SSR markers, which could be used for genetic diversity and population differentiation of the remaining species saving cost and time. We present VigSatDB-the world's first comprehensive microsatellite database of genus Vigna, containing >875 K putative microsatellite markers with 772 354 simple and 103 865 compound markers mined from six genome assemblies of three Vigna species, namely, Vigna radiata (Mung bean), Vigna angularis (Adzuki bean) and Vigna unguiculata (Cowpea). It also contains 1976 validated published markers. Markers can be selected on the basis of chromosomes/location specificity, and primers can be generated using Primer3core tool integrated at backend. Efficacy of VigSatDB for microsatellite loci genotyping has been evaluated by 15 markers over a panel of 10 diverse genotype of V. radiata. Our web genomic resources can be used in diversity analysis, population and varietal differentiation, discovery of quantitative trait loci/genes, marker-assisted varietal improvement in endeavor of Vigna crop productivity and management.

Indexed as

Databases, Nucleic AcidMicrosatellite RepeatsDNA, PlantSpecies SpecificityVignaDNA, Plant

Identifiers

PMID31147679
PMCPMC6542692

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