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Multiple-locus variable-number tandem repeat analysis for molecular typing of Aspergillus fumigatus

Identifieur interne : 000116 ( Main/Exploration ); précédent : 000115; suivant : 000117

Multiple-locus variable-number tandem repeat analysis for molecular typing of Aspergillus fumigatus

Auteurs : Simon Thierry [France] ; Dongying Wang [France, République populaire de Chine] ; Pascal Arné [France] ; Manjula Deville [France] ; Barbara De Bruin [France] ; Adélaïde Nieguitsila [France] ; Christine Pourcel [France] ; Karine Laroucau [France] ; René Chermette [France] ; Weiyi Huang [République populaire de Chine] ; Françoise Botterel [France] ; Jacques Guillot [France]

Source :

RBID : PMC:3004892

Descripteurs français

English descriptors

Abstract

Background

Multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA) is a prominent subtyping method to resolve closely related microbial isolates to provide information for establishing genetic patterns among isolates and to investigate disease outbreaks. The usefulness of MLVA was recently demonstrated for the avian major pathogen Chlamydophila psittaci. In the present study, we developed a similar method for another pathogen of birds: the filamentous fungus Aspergillus fumigatus.

Results

We selected 10 VNTR markers located on 4 different chromosomes (1, 5, 6 and 8) of A. fumigatus. These markers were tested with 57 unrelated isolates from different hosts or their environment (53 isolates from avian species in France, China or Morocco, 3 isolates from humans collected at CHU Henri Mondor hospital in France and the reference strain CBS 144.89). The Simpson index for individual markers ranged from 0.5771 to 0.8530. A combined loci index calculated with all the markers yielded an index of 0.9994. In a second step, the panel of 10 markers was used in different epidemiological situations and tested on 277 isolates, including 62 isolates from birds in Guangxi province in China, 95 isolates collected in two duck farms in France and 120 environmental isolates from a turkey hatchery in France. A database was created with the results of the present study http://minisatellites.u-psud.fr/MLVAnet/. Three major clusters of isolates were defined by using the graphing algorithm termed Minimum Spanning Tree (MST). The first cluster comprised most of the avian isolates collected in the two duck farms in France, the second cluster comprised most of the avian isolates collected in poultry farms in China and the third one comprised most of the isolates collected in the turkey hatchery in France.

Conclusions

MLVA displayed excellent discriminatory power. The method showed a good reproducibility. MST analysis revealed an interesting clustering with a clear separation between isolates according to their geographic origin rather than their respective hosts.


Url:
DOI: 10.1186/1471-2180-10-315
PubMed: 21143842
PubMed Central: 3004892


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<term>Animals (MeSH)</term>
<term>Aspergillosis (microbiology)</term>
<term>Aspergillosis (veterinary)</term>
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<term>Aspergillus fumigatus (genetics)</term>
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<term>DNA, Fungal (genetics)</term>
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<term>Genetic Techniques (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Minisatellite Repeats (MeSH)</term>
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<term>Dindons (MeSH)</term>
<term>Données de séquences moléculaires (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Maladies des oiseaux (microbiologie)</term>
<term>Phylogenèse (MeSH)</term>
<term>Répétitions minisatellites (MeSH)</term>
<term>Techniques de typage bactérien (méthodes)</term>
<term>Techniques génétiques (MeSH)</term>
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<term>Aspergillus fumigatus</term>
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<term>Aspergillus fumigatus</term>
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<term>ADN fongique</term>
<term>Aspergillus fumigatus</term>
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<term>Aspergillus fumigatus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr">
<term>Aspergillus fumigatus</term>
</keywords>
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<term>Bacterial Typing Techniques</term>
</keywords>
<keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr">
<term>Aspergillose</term>
<term>Maladies des oiseaux</term>
</keywords>
<keywords scheme="MESH" qualifier="microbiology" xml:lang="en">
<term>Aspergillosis</term>
<term>Bird Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr">
<term>Aspergillose</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr">
<term>Techniques de typage bactérien</term>
</keywords>
<keywords scheme="MESH" qualifier="veterinary" xml:lang="en">
<term>Aspergillosis</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Animals</term>
<term>Ducks</term>
<term>Genetic Techniques</term>
<term>Humans</term>
<term>Minisatellite Repeats</term>
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<term>Turkeys</term>
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<term>Canards</term>
<term>Dindons</term>
<term>Données de séquences moléculaires</term>
<term>Humains</term>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>Multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA) is a prominent subtyping method to resolve closely related microbial isolates to provide information for establishing genetic patterns among isolates and to investigate disease outbreaks. The usefulness of MLVA was recently demonstrated for the avian major pathogen
<italic>Chlamydophila psittaci</italic>
. In the present study, we developed a similar method for another pathogen of birds: the filamentous fungus
<italic>Aspergillus fumigatus</italic>
.</p>
</sec>
<sec>
<title>Results</title>
<p>We selected 10 VNTR markers located on 4 different chromosomes (1, 5, 6 and 8) of
<italic>A. fumigatus</italic>
. These markers were tested with 57 unrelated isolates from different hosts or their environment (53 isolates from avian species in France, China or Morocco, 3 isolates from humans collected at CHU Henri Mondor hospital in France and the reference strain CBS 144.89). The Simpson index for individual markers ranged from 0.5771 to 0.8530. A combined loci index calculated with all the markers yielded an index of 0.9994. In a second step, the panel of 10 markers was used in different epidemiological situations and tested on 277 isolates, including 62 isolates from birds in Guangxi province in China, 95 isolates collected in two duck farms in France and 120 environmental isolates from a turkey hatchery in France. A database was created with the results of the present study
<ext-link ext-link-type="uri" xlink:href="http://minisatellites.u-psud.fr/MLVAnet/">http://minisatellites.u-psud.fr/MLVAnet/</ext-link>
. Three major clusters of isolates were defined by using the graphing algorithm termed Minimum Spanning Tree (MST). The first cluster comprised most of the avian isolates collected in the two duck farms in France, the second cluster comprised most of the avian isolates collected in poultry farms in China and the third one comprised most of the isolates collected in the turkey hatchery in France.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>MLVA displayed excellent discriminatory power. The method showed a good reproducibility. MST analysis revealed an interesting clustering with a clear separation between isolates according to their geographic origin rather than their respective hosts.</p>
</sec>
</div>
</front>
<back>
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<name sortKey="Refojo, N" uniqKey="Refojo N">N Refojo</name>
</author>
<author>
<name sortKey="Arenas, R" uniqKey="Arenas R">R Arenas</name>
</author>
<author>
<name sortKey="Delhaes, L" uniqKey="Delhaes L">L Delhaes</name>
</author>
<author>
<name sortKey="Reyes Montes Mdel, R" uniqKey="Reyes Montes Mdel R">R Reyes-Montes Mdel</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<country name="France">
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<name sortKey="Thierry, Simon" sort="Thierry, Simon" uniqKey="Thierry S" first="Simon" last="Thierry">Simon Thierry</name>
</noRegion>
<name sortKey="Arne, Pascal" sort="Arne, Pascal" uniqKey="Arne P" first="Pascal" last="Arné">Pascal Arné</name>
<name sortKey="Botterel, Francoise" sort="Botterel, Francoise" uniqKey="Botterel F" first="Françoise" last="Botterel">Françoise Botterel</name>
<name sortKey="Chermette, Rene" sort="Chermette, Rene" uniqKey="Chermette R" first="René" last="Chermette">René Chermette</name>
<name sortKey="De Bruin, Barbara" sort="De Bruin, Barbara" uniqKey="De Bruin B" first="Barbara" last="De Bruin">Barbara De Bruin</name>
<name sortKey="Deville, Manjula" sort="Deville, Manjula" uniqKey="Deville M" first="Manjula" last="Deville">Manjula Deville</name>
<name sortKey="Guillot, Jacques" sort="Guillot, Jacques" uniqKey="Guillot J" first="Jacques" last="Guillot">Jacques Guillot</name>
<name sortKey="Laroucau, Karine" sort="Laroucau, Karine" uniqKey="Laroucau K" first="Karine" last="Laroucau">Karine Laroucau</name>
<name sortKey="Nieguitsila, Adelaide" sort="Nieguitsila, Adelaide" uniqKey="Nieguitsila A" first="Adélaïde" last="Nieguitsila">Adélaïde Nieguitsila</name>
<name sortKey="Pourcel, Christine" sort="Pourcel, Christine" uniqKey="Pourcel C" first="Christine" last="Pourcel">Christine Pourcel</name>
<name sortKey="Wang, Dongying" sort="Wang, Dongying" uniqKey="Wang D" first="Dongying" last="Wang">Dongying Wang</name>
</country>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Wang, Dongying" sort="Wang, Dongying" uniqKey="Wang D" first="Dongying" last="Wang">Dongying Wang</name>
</noRegion>
<name sortKey="Huang, Weiyi" sort="Huang, Weiyi" uniqKey="Huang W" first="Weiyi" last="Huang">Weiyi Huang</name>
</country>
</tree>
</affiliations>
</record>

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