Evidence map›Paper›PMID 18447947›Full record

ArticleBMC plant biology2008

Development of new genomic microsatellite markers from robusta coffee (Coffea canephora Pierre ex A. Froehner) showing broad cross-species transferability and utility in genetic studies.

Prasad Suresh Hendre, Regur Phanindranath, V Annapurna, Albert Lalremruata, Ramesh K Aggarwal

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Article in BMC plant biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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3 · Its place in the literature

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11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Recent advances in the genetic transformation of coffee.Biotechnology research international · 2012
    Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Prasad Suresh HendreCentre for Cellular and Molecular Biology (CCMB), Uppal Road, Tarnaka, Hyderabad- 500 007, Andhra Pradesh, India. prasadhendre@gmail.com
Regur Phanindranath
V Annapurna
Albert Lalremruata
Ramesh K Aggarwal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecies-specific microsatellite markers are desirable for genetic studies and to harness the potential of MAS-based breeding for genetic improvement. Limited availability of such markers for coffee, one of the most important beverage tree crops, warrants newer efforts to develop additional microsatellite markers that can be effectively deployed in genetic analysis and coffee improvement programs. The present study aimed to develop new coffee-specific SSR markers and validate their utility in analysis of genetic diversity, individualization, linkage mapping, and transferability for use in other related taxa.

resultsA small-insert partial genomic library of Coffea canephora, was probed for various SSR motifs following conventional approach of Southern hybridisation. Characterization of repeat positive clones revealed a very high abundance of DNRs (1/15 Kb) over TNRs (1/406 kb). The relative frequencies of different DNRs were found as AT >> AG > AC, whereas among TNRs, AGC was the most abundant repeat. The SSR positive sequences were used to design 58 primer pairs of which 44 pairs could be validated as single locus markers using a panel of arabica and robusta genotypes. The analysis revealed an average of 3.3 and 3.78 alleles and 0.49 and 0.62 PIC per marker for the tested arabicas and robustas, respectively. It also revealed a high cumulative PI over all the markers using both sib-based (10-6 and 10-12 for arabicas and robustas respectively) and unbiased corrected estimates (10-20 and 10-43 for arabicas and robustas respectively). The markers were tested for Hardy-Weinberg equilibrium, linkage dis-equilibrium, and were successfully used to ascertain generic diversity/affinities in the tested germplasm (cultivated as well as species). Nine markers could be mapped on robusta linkage map. Importantly, the markers showed ~92% transferability across related species/genera of coffee.

conclusionThe conventional approach of genomic library was successfully employed although with low efficiency to develop a set of 44 new genomic microsatellite markers of coffee. The characterization/validation of new markers demonstrated them to be highly informative, and useful for genetic studies namely, genetic diversity in coffee germplasm, individualization/bar-coding for germplasm protection, linkage mapping, taxonomic studies, and use as conserved orthologous sets across secondary genepool of coffee. Further, the relative frequency and distribution of different SSR motifs in coffee genome indicated coffee genome to be relatively poor in microsatellites compared to other plant species.

Indexed as

Gene Transfer TechniquesAgricultureAllelesChromosome MappingCoffeaConserved SequenceGene LibraryGenetic MarkersGenetic VariationGenome, PlantGenotypeMicrosatellite RepeatsMinisatellite RepeatsPhylogenyReproducibility of ResultsSequence Analysis, DNAGenetic Markers

Identifiers

PMID18447947
PMCPMC2396172

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.