Evidence map›Paper›PMID 10834993›Full record

ArticleJournal of clinical microbiology2000

Identification of medically important yeasts using PCR-based detection of DNA sequence polymorphisms in the internal transcribed spacer 2 region of the rRNA genes.

Y C Chen, J D Eisner, M M Kattar, S L Rassoulian-Barrett, K LaFe, S L Yarfitz, A P Limaye, B T Cookson

Abstract read
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Article in Journal of clinical microbiology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

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0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Review
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  17. Genomic and transcriptomic analysis ofBiotechnology for biofuels · 2020
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  18. Hyper-production of taxol fromBiotechnology reports (Amsterdam, Netherlands) · 2019
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  19. Article
  20. Review

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

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

8 authors.

Y C ChenDepartments of Laboratory Medicine, Division of Bioinformatics, University of Washington, Seattle, Washington, USA.
J D Eisner
M M Kattar
S L Rassoulian-Barrett
K LaFe
S L Yarfitz
A P Limaye
B T Cookson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of medically relevant yeasts can be time-consuming and inaccurate with current methods. We evaluated PCR-based detection of sequence polymorphisms in the internal transcribed spacer 2 (ITS2) region of the rRNA genes as a means of fungal identification. Clinical isolates (401), reference strains (6), and type strains (27), representing 34 species of yeasts were examined. The length of PCR-amplified ITS2 region DNA was determined with single-base precision in less than 30 min by using automated capillary electrophoresis. Unique, species-specific PCR products ranging from 237 to 429 bp were obtained from 92% of the clinical isolates. The remaining 8%, divided into groups with ITS2 regions which differed by </=2 bp in mean length, all contained species-specific DNA sequences easily distinguishable by restriction enzyme analysis. These data, and the specificity of length polymorphisms for identifying yeasts, were confirmed by DNA sequence analysis of the ITS2 region from 93 isolates. Phenotypic and ITS2-based identification was concordant for 427 of 434 yeast isolates examined using sequence identity of >/=99%. Seven clinical isolates contained ITS2 sequences that did not agree with their phenotypic identification, and ITS2-based phylogenetic analyses indicate the possibility of new or clinically unusual species in the Rhodotorula and Candida genera. This work establishes an initial database, validated with over 400 clinical isolates, of ITS2 length and sequence polymorphisms for 34 species of yeasts. We conclude that size and restriction analysis of PCR-amplified ITS2 region DNA is a rapid and reliable method to identify clinically significant yeasts, including potentially new or emerging pathogenic species.

Indexed as

Polymorphism, GeneticDNA, FungalDNA, RibosomalGenes, FungalMycosesPhylogenyPolymerase Chain ReactionRNA, FungalRNA, RibosomalSequence Analysis, DNASpecies SpecificityTranscription, GeneticYeastsDNA, FungalDNA, RibosomalRNA, FungalRNA, Ribosomal

Identifiers

PMID10834993
PMCPMC86787

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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.