Evidence map›Paper›PMID 19400842›Full record

ArticleMolecular plant pathology2009

Development of taxon-specific sequence characterized amplified region (SCAR) markers based on actin sequences and DNA amplification fingerprinting (DAF): a case study in the Phoma exigua species complex.

Maikel M Aveskamp, Joyce H C Woudenberg, Johannes de Gruyter, Elena Turco, Johannes Z Groenewald, Pedro W Crous

Abstract read
In one paragraph

Article in Molecular plant pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed.

  1. Journal of fungi (Basel, Switzerland) · 2024
    Article
  2. Article
  3. Article
  4. The phoma-like dilemma.Studies in mycology · 2020
    Article
  5. Studies in mycology · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Resolving the Phoma enigma.Studies in mycology · 2015
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

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

6 authors.

Maikel M AveskampCBS Fungal Biodiversity Centre, Utrecht, The Netherlands. m.aveskamp@cbs.knaw.nl
Joyce H C Woudenberg
Johannes de Gruyter
Elena Turco
Johannes Z Groenewald
Pedro W Crous

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phoma exigua is considered to be an assemblage of at least nine varieties that are mainly distinguished on the basis of host specificity and pathogenicity. However, these varieties are also reported to be weak pathogens and secondary invaders on non-host tissue. In practice, it is difficult to distinguish P. exigua from its close relatives and to correctly identify isolates up to the variety level, because of their low genetic variation and high morphological similarity. Because of quarantine issues and phytosanitary measures, a robust DNA-based tool is required for accurate and rapid identification of the separate taxa in this species complex. The present study therefore aims to develop such a tool based on unique nucleotide sequence identifiers. More than 60 strains of P. exigua and related species were compared in terms of partial actin gene sequences, or analysed using DNA amplification fingerprinting (DAF) with short, arbitrary, mini-hairpin primers. Fragments in the fingerprint unique to a single taxon were identified, purified and sequenced. Alignment of the sequence data and subsequent primer trials led to the identification of taxon-specific sequence characterized amplified regions (SCARs), and to a set of specific oligonucleotide combinations that can be used to identify these organisms in plant quarantine inspections.

Indexed as

ActinsAscomycotaBase SequenceDNA FingerprintingGenetic MarkersGenome, FungalMolecular Sequence DataNucleic Acid Amplification TechniquesPhylogenyPolymerase Chain ReactionSequence AlignmentSequence Analysis, DNASpecies SpecificityActinsGenetic Markers

Identifiers

PMID19400842
PMCPMC6640366

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Registered trials

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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.