The impact of molecular techniques on fungal taxonomy cannot easily be overestimated. Major changes have not only occurred in the classification of families and at higher levels, but also at species population levels. The shift in attention from classical morphological and physiological taxonomy towards molecular taxonomy has several additional consequences as well. The number of scientists involved in identification is dwindling, but the demand for their services is not. Moreover, the results of molecular data in taxonomy cannot always be translated in identification keys based on morphology or physiology, and the quality of such identifications no longer represents the state-of-the-art in taxonomy. It is thus necessary that in many cases (increasing with increasing knowledge) classical methods are backed up by molecular methods. Taxonomy is based on the principle of type specimens. The type of an order is a family, the type of a family is a genus, that of a genus a species and that of a species a type specimen. The type specimen is the only guaranteed stable item in the system. What would be more logical than to make sequences of type material the basis of a molecular reference database? It would be a formidable basis for a stable Tree of Life, and also a solid foundation for keys based on molecular data as well as for checks on reliability of data obtained from other material. In order to increase the efficiency of the project, not all strains will directly be tested with all selected methods. The areas in the genome for which sequencing is proposed have a different resolution. ITS1 and ITS2 are generally the most variable areas, and these areas will be sequenced for all strains; 18S (SSU) and 28S (LSU) in principle only when the species belongs to taxonomically different groups (genera, or sections within larger genera), or when the results of the ITS comparison indicate a more distant relationship than previously supposed. As the DNA will be preserved, additional genes can also be included at a later stage, to supplement data sets derived in present ATOL projects.