Evidence map›Paper›PMID 15528697›Full record

ArticleJournal of clinical microbiology2004

Multilocus microsatellite typing system for Penicillium marneffei reveals spatially structured populations.

Matthew C Fisher, David Aanensen, Sybren de Hoog, Nongnuch Vanittanakom

Open access · greenAbstract 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

20 citing papers in PubMed, 49 citations in OpenAlex.

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  12. The evolution of sex: a perspective from the fungal kingdom.Microbiology and molecular biology reviews : MMBR · 2010
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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

4 authors at 3 institutions in 3 countries.

Matthew C FisherDepartment of Infectious Disease Epidemiology, Imperial College Faculty of Medicine, London W2 1PG, UK. matthew.fisher@imperial.ac.uk
David Aanensen
Sybren de Hoog
Nongnuch Vanittanakom
Imperial College London · GBChiang Mai University · THWesterdijk Fungal Biodiversity Institute · NL

Funding

Wellcome Trust 066897
6 · The paper itself

Abstract

For eukaryotic pathogens that have low levels of genetic variation, multilocus microsatellite typing (MLMT) offers an accurate and reproducible method of characterizing genetic diversity. Here, we describe the application of an MLMT system to the emerging pathogenic fungus Penicillium marneffei. Isolates used for this study were those held in the culture collections of the Centraalbureau voor Schimmelcultures, Utrecht, The Netherlands, and the Chiang Mai University Department of Microbiology, Chang Mai, Thailand. High genetic diversity and extensive spatial structure were observed among clinical isolates, with the geographical area of origin for each isolate strongly correlating with the occurrence of two deeply divided clades. Within each clade, multilocus linkage associations were highly significant and could be explained by genetically differentiated populations or by an exclusively clonal reproductive mode, or both. Our results show that southeast Asian penicilliosis is caused by a fungus with a complex population genetic structure. Furthermore, this MLMT system generates digital data that can be easily queried against a centrally held database via the internet (http://pmarneffei.multilocus.net/); this provides a powerful epidemiological tool for analyzing the underlying parameters that are responsible for the emergence of P. marneffei in human immunodeficiency virus-positive populations.

Indexed as

Mycological Typing TechniquesAIDS-Related Opportunistic InfectionsAnimalsAsia, SoutheasternDNA, FungalGenetic VariationHumansMicrosatellite RepeatsMycosesNetherlandsPenicilliumRatsThailandDNA, Fungal

Identifiers

PMID15528697
PMCPMC525240
OpenAlexW1992005862

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.