Evidence map›Paper›PMID 25987765›Full record

ArticleBioinformation2015

Mining, characterization and validation of EST derived microsatellites from the transcriptome database of Allium sativum L.

Subodh Kumar Chand, Satyabrata Nanda, Ellojita Rout, Raj Kumar Joshi

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Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Omics approaches inPeerJ · 2020
    Article
  5. Article
  6. Bioinformation · 2018
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Subodh Kumar ChandFunctional Genomics laboratory, Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751003, India.
Satyabrata NandaFunctional Genomics laboratory, Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751003, India.
Ellojita RoutFunctional Genomics laboratory, Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751003, India.
Raj Kumar JoshiFunctional Genomics laboratory, Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751003, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expressed Sequence Tags (ESTs) with comprehensive transcript information are valuable resources for development of molecular markers as they are derived from conserved genic regions. The present study highlights the mining of EST database to deduce the class I hyper variable SSRs in A. sativum. From 21694 garlic EST sequences, 642 non-redundant SSRs were identified with an average frequency of 1 per 14.9 kb of garlic transcriptome. The most abundant SSR motifs were the mononucleotides (32.86%) followed by trinucleotides (28.50%) and dinucleotides (13.39%). Among the individual SSRs, (A/T)n accounted for the highest number (137; 21.33%) followed by (G/C)n (74; 11.52%) and (AAG)n (63;9.81%). Primers designed from a robust set of 7 AsESTSSRs resulted in the amplification of 63 polymorphic alleles in 14 accessions of garlic. The resolving power of the markers varied from 4.286 (AsSSR7) to 18.143 (AsSSR13) while the average marker index (MI) was 5.087. These EST-SSRs markers for garlic could be useful for the improvement of garlic linkage map and could be used for evaluating genetic variation and comparative genomics studies in Allium species.

Indexed as

Allium sativumEST-SSRsexpressed sequences tagsSSR motifs

Identifiers

PMID25987765
PMCPMC4421003

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