Concept for development of expert computer program for identification of filamentous fungi

• Autorzy: Gutarowska B. , Izdebski M.
• Języki publikacji: EN

Abstrakty

EN

An expert program has been developed for users working in industrial laboratories who are not experts in the identification of filamentous fungi. !e database of morphological growth features currently contains 12 species from the genera Aspergillus and Penicillium grown under standard conditions. !e identification algorithm implemented in the database takes into account the reliability of users, which can vary over a wide range depending on the identification feature. !e reliability of users was estimated on the basis of a questionnaire survey conducted among 27 non-experts, as the likelihood of a response consistent with the assessment of experts. The program works through comparative analysis of features of the fungus being identified with the expert-developed database and selection of the most likely species among the species represented by reference strains. !e expert program reduces subjective mistakes and may be extended to include further fungal species and genera; it can also be supplemented with chemotaxonomic, genetic and other data.

Słowa kluczowe

EN

development; computer programme; identification; filamentous fungi; fungi; Aspergillus; Penicillium; morphological identification

• Wydawca: -
• Czasopismo: Polish Journal of Microbiology
• Rocznik: 2012
• Tom: 61
• Numer: 3
• Opis fizyczny: p.169-181,fig.,ref.

Twórcy

autor

Gutarowska B.

• Institute of Fermentation Technology and Microbiology, Technical University of Lodz, Poland

autor

Izdebski M.

Bibliografia

• Bridge P.D., P. Jeffries, D.R. Morse and P.R. Scott. 1998. Information technology, plant pathology and biodiversity. CAB International, Wallingford, Oxford.
• Carbonero E.R., G.L. Sassaki, P.M. Stuelp and P.A.J. Gorin, S.M. Woranovicz-Barreira and M. Iacomini. 2001. Comparative studies of the polysaccharides isolated from lichenized fungi of the genus Cladonia: significance as chemotypes. FEMS Micobiol. Lett. 194: 65–69.
• Edwards S.G., J. O’Callaghan and A.D.W. Dobson. 2002. PCRbased detection and quantification of mycotoxigenic fungi. Mycol. Res. 106: 1005–1025.
• Flannigan B., R.A. Samson and J.D. Miller. 2001. Microorganisms in home and indoor work environments: diversity, health impacts, investigation and control. Taylor & Francis, London and New York.
• Frisvad J.C. and R.A. Samson. 2004. Polyphasic taxonomy of Penicillium subgenus Penicillium. A guide to identification of food and air-borne terverticillate penicillia and their mycotoxins. Stud. Mycol. 49: 1–174.
• Grandmougin-Ferjani A., Y. Dalpe, M.A. Hartmann, F. Laruelle and M. Sancholle. 1999. Sterol distribution in arbuscular mycorrhizal fungi. Phytochemistry, 50: 1027–1031.
• Kozakiewicz Z., P.D. Bridge and R.R.M. Paterson. 1993. Penimat: a computerised identification scheme for terverticillate Penicillium species. Int. Biodeterior. Biodegrad. 32: 117–125.
• Lopes da Silva T., E. de Sosa, P.T. Pereira, A.M. Ferrao and J.C. Roseiro. 1998. Cellular fatty acid profiles for the differentiation of Penicillium species. FEMS Micobiol. Lett. 164: 303–310.
• Maradona M.P. 1994. Integrated software for probabilistic identification of microorganisms. Bioinformatics 10: 71–73.
• Samson R.A., E.S. Hoekstra, J.C. Frisvad and O. Filtenborg (eds). 2000. Introduction to food- and air borne fungi. 6th ed. Centraalbureau voor Schimmelcultures, Utrecht.
• Smedsgaard J. and J.C. Frisvad. 1996. Using direct electrospray mass spectrometry in taxonomy and secondary metabolite profiling of crude fungal extracts. J. Microbiol. Methods 25: 5–17.
• Tardivel G.M. and D.R. Morse. 1998. The role of the user in computer-based identification, pp. 247–259. In: Bridge P.D., P. Jeffries, D.R. Morse and P.R. Scott (eds). Information technology, plant pathology and biodiversity. CAB International, Wallingford, Oxford.
• Willcox W.R., S.P. Lapage, S. Bascomb and M.A. Curtis. 1973. Identification of bacteria by computer: theory and programming. J. Gen. Microbiol. 77: 317–330.