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C. André Lévesque

Researcher at Agriculture and Agri-Food Canada

Publications -  71
Citations -  8884

C. André Lévesque is an academic researcher from Agriculture and Agri-Food Canada. The author has contributed to research in topics: Pythium & Oomycete. The author has an hindex of 33, co-authored 70 publications receiving 7678 citations. Previous affiliations of C. André Lévesque include Carleton University & Canadian Food Inspection Agency.

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Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi

Conrad L. Schoch, +160 more
TL;DR: Among the regions of the ribosomal cistron, the internal transcribed spacer (ITS) region has the highest probability of successful identification for the broadest range of fungi, with the most clearly defined barcode gap between inter- and intraspecific variation.
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DNA barcoding of oomycetes with cytochrome c oxidase subunit I and internal transcribed spacer.

TL;DR: The results described in this paper indicate that COI sequencing and the dataset generated are a valuable addition to the currently available oomycete taxonomy resources, and that both COI, the default DNA barcode supported by GenBank, and ITS, the de facto barcode accepted by the oomyCete and mycology community, are acceptable and complementary DNA barcodes to be used for identification of oomy cetes.
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Molecular phylogeny and taxonomy of the genus Pythium.

TL;DR: Twenty-six species had ITS sequences identical or nearly identical to formerly described species, suggesting possible conspecificity and the importance of comparing ITS sequences of putative new species to the now available ITS database in order to avoid unwarranted new species names being introduced.
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Genome sequence of the necrotrophic plant pathogen Pythium ultimum reveals original pathogenicity mechanisms and effector repertoire

TL;DR: Access to the P. ultimum genome has revealed not only core pathogenic mechanisms within the oomycetes but also lineage-specific genes associated with the alternative virulence and lifestyles found within the pythiaceous lineages compared to the Peronosporaceae.
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Prospects for fungus identification using CO1 DNA barcodes, with Penicillium as a test case.

TL;DR: Analysis of patterns of sequence divergences in this gene region for 38 fungal taxa with full CO1 sequences suggested that CO1 could be effective in species recognition, and designed primers for a 545-bp fragment of CO1 and generated sequences for multiple strains from 58 species of Penicillium subgenus Penicilla and 12 allied species.