Improving ITS sequence data for identification of plant pathogenic fungi

By R. Henrik Nilsson, K. D. Hyde, J. Pawłowska, Martin Ryberg, Leho Tedersoo, A. B. Aas, S. Alias, A. Alves, C. Anderson, Alexandre Antonelli and 49 more. Fungal diversity, 2014

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The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications (2018, background): “Participation in sequence annotation efforts is encouraged through organization of annotation jamborees targeting, e.g. plant pathogenic fungi (13) or the built mycobiome (14).”
Applied aspects of methods to infer phylogenetic relationships amongst fungi (2020, background): “During last two decades, classification system of the kingdom fungi have been incorporated with molecular phylogenetic investigations of one or more genes (Hibbett et al. 2007, Nilsson et al. 2012a, 2014, Wijayawardene et al. 2020).”
High-level classification of the Fungi and a tool for evolutionary ecological analyses (2018, background): “Species-level molecular identification of fungi takes advantage of the Internal Transcribed Spacer (ITS) region of ribosomal RNA (rRNA) gene (Gardes and Bruns 1996; Kõljalg et al. 2005; Schoch et al. 2012; Nilsson et al. 2014).”
Notes for genera: Ascomycota (2017, background): “Phylogenetic affiliations and taxonomic placements of a large number of genera are being clarified, and at the same time species complexes and generic circumscriptions are being resolved (Damm et al. 2012a, b; 2013; Choi et al. 2013a; Giraud et al. 2013; Nilsson et al. 2014; Udayanga et al. 2014a).”