Evidence map›Paper›PMID 15070993›Full record

ArticleJournal of clinical microbiology2004

Analysis of polymorphic microsatellite markers for typing Penicillium marneffei isolates.

Brent A Lasker, Yuping Ran

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

10 citing papers in PubMed.

  1. Article
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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

2 authors.

Brent A LaskerMycotic Diseases Branch, Division of Bacterial and Mycotic Diseases, National Centers for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. blasker@cdc.gov
Yuping Ran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Penicillium marneffei is an emerging opportunistic dimorphic fungal pathogen that is endemic in Southeast Asia. A typing method based on the analysis of size polymorphisms in microsatellite loci was investigated. Three loci available from the GenBank database were identified to harbor microsatellites. PCR primers flanking the microsatellite repeats were designed with one primer in the set fluorescently labeled. PCR products were then sized by automated capillary electrophoresis. As expected for a haploid fungus, a single band was observed for each microsatellite locus for all isolates. Polymorphic microsatellite marker (PMM) analysis detected a total of 22 different allelic types for 35 isolates of P. marneffei with a high discriminatory power (D = 0.956). Microsatellites I, II, and III detected 14, 10, and 7 alleles, respectively. The reproducibility of length polymorphisms was confirmed by using different DNA preparations from the same isolate or by repeated runs from the same DNA preparation. PMM profiles for eight isolates passaged in vitro for 7 to 8 weeks were identical to the original culture, demonstrating short-term stability and reproducibility. PCR products were not observed for other dimorphic fungi or human DNA. Comparison of allelic frequencies in isolates obtained from China and Thailand identified distinct allele combinations, suggesting the potential geographic isolation of populations. Due to the high discriminatory power, reproducibility, and potential for high throughput, PMM analysis may provide a good typing method for epidemiologic and surveillance investigations of P. marneffei.

Indexed as

Mycological Typing TechniquesPolymorphism, GeneticAnimalsDNA, FungalDNA PrimersHumansMicrosatellite RepeatsMycosesPenicilliumPolymerase Chain ReactionRatsDNA, FungalDNA Primers

Identifiers

PMID15070993
PMCPMC387604

What OpenQuestion holds

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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.