PoplarV1, Main, Exploration, bibRecord, 000935

Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.

Identifieur interne : 000935 ( Main/Exploration ); précédent : 000934; suivant : 000936

Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.

Auteurs : Marie-Josée Bergeron [Canada] ; Nicolas Feau [Canada] ; Don Stewart [Canada] ; Philippe Tanguay [Canada] ; Richard C. Hamelin [Canada]

Source :

PloS one [ 1932-6203 ] ; 2019.

RBID : pubmed:30726264

Descripteurs français

KwdFr :
- ADN fongique (génétique), ADN fongique (isolement et purification), Arbres (microbiologie), Biologie informatique (MeSH), Champignons (génétique), Champignons (isolement et purification), Feuilles de plante (microbiologie), Génome fongique (génétique), Génomique (méthodes), Maladies des plantes (microbiologie), Pinus (microbiologie), Populus (microbiologie), Réaction de polymérisation en chaine en temps réel (MeSH), Surveillance de l'environnement (méthodes).
MESH :
- génétique : ADN fongique, Champignons, Génome fongique.
- isolement et purification : ADN fongique, Champignons.
- microbiologie : Arbres, Feuilles de plante, Maladies des plantes, Pinus, Populus.
- méthodes : Génomique, Surveillance de l'environnement.
- Biologie informatique, Réaction de polymérisation en chaine en temps réel.

English descriptors

KwdEn :
- Computational Biology (MeSH), DNA, Fungal (genetics), DNA, Fungal (isolation & purification), Environmental Monitoring (methods), Fungi (genetics), Fungi (isolation & purification), Genome, Fungal (genetics), Genomics (methods), Pinus (microbiology), Plant Diseases (microbiology), Plant Leaves (microbiology), Populus (microbiology), Real-Time Polymerase Chain Reaction (MeSH), Trees (microbiology).
MESH :
- chemical , genetics : DNA, Fungal.
- chemical , isolation & purification : DNA, Fungal.
- genetics : Fungi, Genome, Fungal.
- isolation & purification : Fungi.
- methods : Environmental Monitoring, Genomics.
- microbiology : Pinus, Plant Diseases, Plant Leaves, Populus, Trees.
- Computational Biology, Real-Time Polymerase Chain Reaction.

Abstract

Biosurveillance is a proactive approach that may help to limit the spread of invasive fungal pathogens of trees, such as rust fungi which have caused some of the world's most damaging diseases of pines and poplars. Most of these fungi have a complex life cycle, with up to five spore stages, which is completed on two different hosts. They have a biotrophic lifestyle and may be propagated by asymptomatic plant material, complicating their detection and identification. A bioinformatics approach, based on whole genome comparison, was used to identify genome regions that are unique to the white pine blister rust fungus, Cronartium ribicola, the poplar leaf rust fungi Melampsora medusae and Melampsora larici-populina or to members of either the Cronartium and Melampsora genera. Species- and genus-specific real-time PCR assays, targeting these unique regions, were designed with the aim of detecting each of these five taxonomic groups. In total, twelve assays were developed and tested over a wide range of samples, including different spore types, different infected plant parts on the pycnio-aecial or uredinio-telial host, and captured insect vectors. One hundred percent detection accuracy was achieved for the three targeted species and two genera with either a single assay or a combination of two assays. This proof of concept experiment on pine and poplar leaf rust fungi demonstrates that the genome-enhanced detection and identification approach can be translated into effective real-time PCR assays to monitor tree fungal pathogens.

DOI: 10.1371/journal.pone.0210952
PubMed: 30726264
PubMed Central: PMC6364900

Affiliations:

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

to stream Main, to step Corpus: 000A42
to stream Main, to step Curation: 000A42

Le document en format XML

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<term>Feuilles de plante (microbiologie)</term>
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<term>Maladies des plantes (microbiologie)</term>
<term>Pinus (microbiologie)</term>
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<front><div type="abstract" xml:lang="en">Biosurveillance is a proactive approach that may help to limit the spread of invasive fungal pathogens of trees, such as rust fungi which have caused some of the world's most damaging diseases of pines and poplars. Most of these fungi have a complex life cycle, with up to five spore stages, which is completed on two different hosts. They have a biotrophic lifestyle and may be propagated by asymptomatic plant material, complicating their detection and identification. A bioinformatics approach, based on whole genome comparison, was used to identify genome regions that are unique to the white pine blister rust fungus, Cronartium ribicola, the poplar leaf rust fungi Melampsora medusae and Melampsora larici-populina or to members of either the Cronartium and Melampsora genera. Species- and genus-specific real-time PCR assays, targeting these unique regions, were designed with the aim of detecting each of these five taxonomic groups. In total, twelve assays were developed and tested over a wide range of samples, including different spore types, different infected plant parts on the pycnio-aecial or uredinio-telial host, and captured insect vectors. One hundred percent detection accuracy was achieved for the three targeted species and two genera with either a single assay or a combination of two assays. This proof of concept experiment on pine and poplar leaf rust fungi demonstrates that the genome-enhanced detection and identification approach can be translated into effective real-time PCR assays to monitor tree fungal pathogens.</div>
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<Abstract><AbstractText>Biosurveillance is a proactive approach that may help to limit the spread of invasive fungal pathogens of trees, such as rust fungi which have caused some of the world's most damaging diseases of pines and poplars. Most of these fungi have a complex life cycle, with up to five spore stages, which is completed on two different hosts. They have a biotrophic lifestyle and may be propagated by asymptomatic plant material, complicating their detection and identification. A bioinformatics approach, based on whole genome comparison, was used to identify genome regions that are unique to the white pine blister rust fungus, Cronartium ribicola, the poplar leaf rust fungi Melampsora medusae and Melampsora larici-populina or to members of either the Cronartium and Melampsora genera. Species- and genus-specific real-time PCR assays, targeting these unique regions, were designed with the aim of detecting each of these five taxonomic groups. In total, twelve assays were developed and tested over a wide range of samples, including different spore types, different infected plant parts on the pycnio-aecial or uredinio-telial host, and captured insect vectors. One hundred percent detection accuracy was achieved for the three targeted species and two genera with either a single assay or a combination of two assays. This proof of concept experiment on pine and poplar leaf rust fungi demonstrates that the genome-enhanced detection and identification approach can be translated into effective real-time PCR assays to monitor tree fungal pathogens.</AbstractText>
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<AffiliationInfo><Affiliation>Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Québec, Québec, Canada.</Affiliation>
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<AffiliationInfo><Affiliation>Institut de Biologie Intégrative des Systèmes, Université Laval, Québec, Québec, Canada.</Affiliation>
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Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.

Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases.

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