The advancing identification and classification of Rhizoctonia spp. using molecular and biotechnological methods compared with the classical anastomosis grouping

By M. Sharon, S. Kuninaga, M. Hyakumachi, B. Sneh. Mycoscience, 2006

151 citations recorded by the source corpus.

Subfields: Endocrinology, Plant Science

View Paper: https://www.semanticscholar.org/paper/9448f24849cc502260ecaec3cb0c6230df08cc7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Endocrinology

1. O. Ajayi-Oyetunde
2. C. Bradley

In Plant Science

1. Leho Tedersoo
2. M. Bahram
3. Kessy Abarenkov
4. Urmas Kõljalg
5. O. Ajayi-Oyetunde
6. M. Selosse
7. C. Bradley

Citations in the corpus

• Rhizoctonia solani: taxonomy, population biology and management of rhizoctonia seedling disease of soybean (2022, methodology): “Various tools of molecular biology that have been employed for classifying Rhizoctonia have all together validated previous classification of Rhizoctonia spp. into AGs and subgroups (Vilgalys & Cubeta, 1994; Kuninaga, 1996; Sharon et al., 2006).”
• Evolution of nutritional modes of Ceratobasidiaceae (Cantharellales, Basidiomycota) as revealed from publicly available ITS sequences (2013, background): “AG subtypes usually have different ecological niches and their within-group ITS sequence similarity is over 97e98 %; AG subtypes could be, therefore, considered as molecular operational taxonomic units (MOTUs; Vilgalys & Cubeta 1994; Gonzales et al. 2001; Sharon et al. 2006).”