Evidence map›Paper›PMID 16924545›Full record

ArticleMolecular genetics and genomics : MGG2006

SSR mining in coffee tree EST databases: potential use of EST-SSRs as markers for the Coffea genus.

Valérie Poncet, Myriam Rondeau, Christine Tranchant, Anne Cayrel, Serge Hamon, Alexandre de Kochko, Perla Hamon

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Article in Molecular genetics and genomics : MGG, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. Liberica Coffee (Molecules (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
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  10. Review
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  12. Mining and characterization of EST-SSR markers forPhysiology and molecular biology of plants : an international journal of functional plant biology · 2017
    Article
  13. Systemic Identification ofJournal of nucleic acids · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Valérie PoncetUMR 1097 Diversité et Génomes des Plantes Cultivées (DGPC), IRD, Institut de Recherche pour le Développement, 911 avenue Agropolis, BP 64501, 34394 Montpellier Cedex 5, France. poncet@mpl.ird.fr
Myriam Rondeau
Christine Tranchant
Anne Cayrel
Serge Hamon
Alexandre de Kochko
Perla Hamon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expressed sequence tags (ESTs) from Coffea canephora leaves and fruits were used to search for types and frequencies of simple sequence repeats (EST-SSRs) with a motif length of 1-6 bp. From a non-redundant (NR) EST set of 5,534 potential unigenes, 6.8% SSR-containing sequences were identified, with an average density of one SSR every 7.73 kb of EST sequences. Trinucleotide repeats were found to be the most abundant (34.34%), followed by di- (25.75%) and hexa-nucleotide (22.04%) motifs. The development of unique genic SSR markers was optimized by a computational approach which allowed us to eliminate redundancy in the original EST set and also to test the specificity of each pair of designed primers. Twenty-five EST-SSRs were developed and used to evaluate cross-species transferability in the Coffea genus. The orthology was supported by the amplicon sequence similarity and the amplification patterns. The >94% identity of flanking sequences revealed high sequence conservation across the Coffea genus. A high level of polymorphic loci was obtained regardless of the species considered (from 75% for C. liberica to 86% for C. canephora). Moreover, the polymorphism revealed by EST-SSR was similar to that exposed by genomic SSR. It is concluded that Coffea ESTs are a valuable resource for microsatellite mining. EST-SSR markers developed from C. canephora sequences can be easily transferred to other Coffea species for which very little molecular information is available. They constitute a set of conserved orthologous markers, which would be ideal for assessing genetic diversity in coffee trees as well as for cross-referencing transcribed sequences in comparative genomics studies.

Indexed as

Expressed Sequence TagsCloning, MolecularCoffeaDNA, PlantFruitGenetic MarkersMicrosatellite RepeatsPolymorphism, GeneticRepetitive Sequences, Nucleic AcidTreesDNA, PlantGenetic Markers

Identifiers

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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.