Literature DB >> 19249365

Fungal pathogen (mis-) identifications: a case study with DNA barcodes on Melampsora rusts of aspen and white poplar.

Nicolas Feau1, Agathe Vialle, Mathieu Allaire, Philippe Tanguay, David L Joly, Pascal Frey, Brenda E Callan, Richard C Hamelin.   

Abstract

Wide variation and overlap in morphological characters have led to confusion in species identification within the fungal rust genus Melampsora. The Melampsora species with uredinial-telial stages on white poplar and aspens are especially prone to misidentification. This group includes the Melampsora populnea species complex and the highly destructive pine twisting rust, Melampsora pinitorqua, which alternates between hosts in Populus section Populus and Pinus. Our objective was to compare morphologically based identification to genetic material extracted from Melampsora species pathogenic to aspen and white poplar. We compared morphometric traits and DNA barcodes obtained from internal transcribed spacer (ITS), large ribosomal RNA subunit (28S), and mitochondrial cytochrome oxidase 1 (CO1) sequences to delimit within this taxonomically difficult group. Eight different Melampsora species were initially defined based on host specificity and morphometric data. DNA barcodes were then overlaid on these initial species definitions. The DNA barcodes, specifically those defined on ITS and 28S sequences, provided a highly accurate means of identifying and resolving Melampsora taxa. We highlighted species misidentification in specimens from Canadian herbaria related to either Melampsora medusae f. sp. tremuloidae or Melampsora aecidioides. Finally, we evidenced that the north-American species found on Populus alba, M. aecidioides is closely related but distinct from the four species of the M. populnea complex (Melampsora larici-tremulae, Melampsora magnusiana, Melampsora pinitorqua, and Melampsora rostrupii) found in Eurasia.

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Year:  2009        PMID: 19249365     DOI: 10.1016/j.mycres.2009.02.007

Source DB:  PubMed          Journal:  Mycol Res        ISSN: 0953-7562


  8 in total

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Journal:  Stud Mycol       Date:  2022-06-02       Impact factor: 25.731

2.  Species boundaries in plant pathogenic fungi: a Colletotrichum case study.

Authors:  Fang Liu; Mei Wang; Ulrike Damm; Pedro W Crous; Lei Cai
Journal:  BMC Evol Biol       Date:  2016-04-14       Impact factor: 3.260

3.  Identification of Quantitative Trait Loci Conditioning the Main Biomass Yield Components and Resistance to Melampsora spp. in Salix viminalis × Salix schwerinii Hybrids.

Authors:  Paweł Sulima; Jerzy A Przyborowski; Anna Kuszewska; Dariusz Załuski; Małgorzata Jędryczka; Witold Irzykowski
Journal:  Int J Mol Sci       Date:  2017-03-22       Impact factor: 5.923

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

Authors:  Marie-Josée Bergeron; Nicolas Feau; Don Stewart; Philippe Tanguay; Richard C Hamelin
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

5.  Quasipucciniastrum agrimoniae, gen. et sp. nov. on Agrimonia (Rosaceae) from China.

Authors:  Xiao-Hua Qi; Lei Cai; Peng Zhao
Journal:  Mycology       Date:  2019-04-30

6.  Microeukaryotic Communities on the Fruit of Gardenia thunbergia Thunb. with a Focus on Pathogenic Fungi.

Authors:  Bastian Steudel; Himansu Baijnath; Thorben Schwedt; Armin Otto Schmitt
Journal:  Pathogens       Date:  2021-05-04

7.  Fungi in Thailand: a case study of the efficacy of an ITS barcode for automatically identifying species within the Annulohypoxylon and Hypoxylon genera.

Authors:  Nuttika Suwannasai; María P Martín; Cherdchai Phosri; Prakitsin Sihanonth; Anthony J S Whalley; John L Spouge
Journal:  PLoS One       Date:  2013-02-04       Impact factor: 3.240

Review 8.  Genomic biosurveillance of forest invasive alien enemies: A story written in code.

Authors:  Richard C Hamelin; Amanda D Roe
Journal:  Evol Appl       Date:  2019-09-10       Impact factor: 5.183

  8 in total

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