본문 바로가기
KERD
논문KCI 등재

Fungal identification based on the polyphasic approach: a clinical practice guideline

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

Taxonomy includes classification, nomenclature, and identification. Identification assignsunknown fungi to species based on their strain characteristics. Traditionally, fungal taxonomyrelied on morphological, physiological, and biochemical traits. However, advancements inmolecular phylogeny, especially multilocus sequence analysis (MLSA), have revolutionizedfungal taxonomy. MLSA combines phylogenetic and genetic approaches. Although effective,MLSA may not fully reflect biodiversity or distinguish between closely related species. Polyphasic taxonomy integrates genotypic, phylogenetic, chemotaxonomic, and phenotypicdata into a consensus classification system. Polyphasic taxonomy was first applied toRhodotorula glutinis in 2001 and is now widely accepted. Phenotypic traits, such as proteinprofiles and chemotaxonomic markers, analyzed using techniques such as matrix-assistedlaser desorption ionization-time of flight mass spectrometry, are effective for yeast andfilamentous fungi. Genotypic data from DNA/RNA sequencing, compared with data fromdatabases such as Index Fungorum and MycoBank, aids species identification and synonymverification. Despite its practicality, the polyphasic approach lacks strict guidelines, resultingin varied interpretations.

Abstract

Taxonomy includes classification, nomenclature, and identification. Identification assignsunknown fungi to species based on their strain characteristics. Traditionally, fungal taxonomyrelied on morphological, physiological, and biochemical traits. However, advancements inmolecular phylogeny, especially multilocus sequence analysis (MLSA), have revolutionizedfungal taxonomy. MLSA combines phylogenetic and genetic approaches. Although effective,MLSA may not fully reflect biodiversity or distinguish between closely related species. Polyphasic taxonomy integrates genotypic, phylogenetic, chemotaxonomic, and phenotypicdata into a consensus classification system. Polyphasic taxonomy was first applied toRhodotorula glutinis in 2001 and is now widely accepted. Phenotypic traits, such as proteinprofiles and chemotaxonomic markers, analyzed using techniques such as matrix-assistedlaser desorption ionization-time of flight mass spectrometry, are effective for yeast andfilamentous fungi. Genotypic data from DNA/RNA sequencing, compared with data fromdatabases such as Index Fungorum and MycoBank, aids species identification and synonymverification. Despite its practicality, the polyphasic approach lacks strict guidelines, resultingin varied interpretations.

참고문헌 (43)

  1. Carroll KC, "Manual of Clinical Microbiology", pp.2275~2282 (2023), American Society for Microbiology
  2. Persing DH, "Molecular microbiology", pp.489~500 (2016), American Society for Microbiology
  3. Colwell R, "Polyphasic taxonomy of the genus Vibrio : numerical taxonomy of Vibrio cholerae, Vibrio parahaemolyticus, and related Vibrio species", J Bacteriol, 104, pp.410~433 (1970)
  4. Gadanho M, "Polyphasic taxonomy of the basidiomycetous yeast genus Rhodosporidium : R. azoricum sp. nov", Can J Microbiol, 47, pp.213~221 (2001)
  5. Gannibal PB, "Polyphasic approach to fungal taxonomy", Biol Bull Rev, 12, pp.18~28 (2022)
  6. Title PM, "Bailey & Scott's Diagnostic Microbiology", pp.791~813 (2022), Elsevier
  7. Frisvad JC, "Polyphasic taxonomy of Penicillium subgenus Penicillium. A guide to identification of food and air-borne terverticillate Penicillia and their mycotoxins", Stud Mycol, 49, pp.1~174 (2004)
  8. Frisvad JC, "Secondary metabolite profiling, growth profiles and other tools for species recognition and important Aspergillus mycotoxins", Stud Mycol, 59, pp.31~37 (2007)
  9. Pluta M, "Phase contrast and differential interference contrast imaging techniques and applications", pp.10~25 (1994)
  10. Smedsgaard J, "Metabolite profiling of fungi and yeast : from phenotype to metabolome by MS and informatics", J Exp Bot, 56, pp.273~286 (2005)
  11. Frisvad JC, "Taxonomy, chemodiversity, and chemoconsistency of Aspergillus, Penicillium, and Talaromyces species", Front Microbiol, 5, pp.773~ (2015)
  12. Saleh D, "Asexual reproduction induces a rapid and permanent loss of sexual reproduction capacity in the rice fungal pathogen Magnaporthe oryzae : results of in vitro experimental evolution assays", BMC Evol Biol, 12, pp.1~16 (2012)
  13. Calderaro A, "MALDI-TOF MS : A Reliable Tool in the Real Life of the Clinical Microbiology Laboratory", Microorganisms, 12, pp.322~ (2024)
  14. Robert M-G, "MALDITOF MS in a medical mycology laboratory : on stage and backstage", Microorganisms, 9, pp.1283~ (2021)
  15. Sarvestani HK, "Mass spectrometry in research laboratories and clinical diagnostic : a new era in medical mycology", Braz J Microbiol, 53, pp.689~707 (2022)
  16. Diongue K, "MALDI-TOF MS identification of Malassezia species isolated from patients with pityriasis versicolor at the Seafarers’ Medical Service in Dakar, Senegal", J Mycol Med, 28, pp.590~593 (2018)
  17. Fries BC, "Phenotypic switching in Cryptococcus neoformans results in changes in cellular morphology and glucuronoxylomannan structure", Infect Immun, 67, pp.6076~6083 (1999)
  18. Fries B, "Phenotypic switching of Cryptococcus neoformans can produce variants that elicit increased intracranial pressure in a rat model of cryptococcal meningoencephalitis", Infect Immun, 73, pp.1779~1787 (2005)
  19. Gautam AK, "Current insight into traditional and modern methods in fungal diversity estimates", J Fungi, 8, pp.226~ (2022)
  20. Clinical Laboratory Standards Institute(CLSI), "Interpretive criteria for identification of bacteria and fungi by DNA target sequencing; MM18-A2 approved guideline" (2018), CLSI
  21. Lee H, "Evaluation of a new matrix-assisted laser desorption", ionization time-of-flight mass spectrometry system for the identification of yeast isolation, 2019, pp.33, e22685~
  22. de Almeida Jr JN, "Evaluating and improving Vitek MS for identification of clinically relevant species of Trichosporon and the closely related genera Cutaneotrichosporon and Apiotrichum", J Clin Microbiol, 55, pp.2439~2444 (2017)
  23. Zvezdanova ME, "Implementation of MALDI-TOF mass spectrometry and peak analysis : application to the discrimination of Cryptococcus neoformans species complex and their interspecies hybrids", J Fungi, 6, pp.330~ (2020)
  24. Siqueira LPM, "Evaluation of Vitek MS for Differentiation of Cryptococcus neoformans and Cryptococcus gattii Genotypes", J Clin Microbiol, 57 (2019)[DOI]
  25. Buchan BW, "Advances in identification of clinical yeast isolates by use of matrix-assisted laser desorption ionization–time of flight mass spectrometry", J Clin Microbiol, 51, pp.1359~1366 (2013)
  26. Honnavar P, "Identification of Malassezia species by MALDI-TOF MS after expansion of database", Diagn Microbiol Infect Dis, 92, pp.118~123 (2018)
  27. Kolecka A, "Efficient identification of Malassezia yeasts by matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF MS)", Br J Dermatol, 170, pp.332~341 (2014)
  28. Vidal-Acuña MR, "Identification of clinical isolates of Aspergillus, including cryptic species, by matrix assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)", Med Mycol, 56, pp.838~846 (2018)
  29. Li Y, "Evaluation of the Bruker Biotyper matrixassisted laser desorption", ionization time-of-flight mass spectrometry system for identification of Aspergillus species directly from growth on solid agar media, 2017, pp.8, 1209~
  30. Lee H, "Multilaboratory evaluation of the MALDI-TOF mass spectrometry system, MicroIDSys elite, for the identification of medically important filamentous fungi", Mycopathologia, 186, pp.15~26 (2021)
  31. Lee H, "Clinical Evaluation of VITEK MS PRIME with PICKME Pen for Bacteria and Yeasts, and RUO database for Filamentous Fungi", Microorganisms, 12, pp.964~ (2024)
  32. Hedayati MT, "Discrimination of aspergillus flavus from Aspergillus oryzae by matrix-assisted laser desorption", ionisation time-of-flight(MALDI-TOF)mass spectrometry, 2019, pp.62, 1182~1188
  33. Triest D, "Use of matrixassisted laser desorption ionization–time of flight mass spectrometry for identification of molds of the Fusarium genus", J Clin Microbiol, 53, pp.465~476 (2015)
  34. Shao J, "Species Identification and Delineation of Pathogenic Mucorales by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry", J Clin Microbiol, pp.56~ (2018)
  35. Hung C-Y, "A metalloproteinase of Coccidioides posadasii contributes to evasion of host detection", Infect Immun, 73, pp.6689~6703 (2005)
  36. Keely SP, "Diversity at the locus associated with transcription of a variable surface antigen of Pneumocystis carinii as an index of population structure and dynamics in infected rats", Infect Immun, 71, pp.47~60 (2003)
  37. Shinohara N, "Comparison of DNA sequencing and morphological identification techniques to characterize environmental fungal communities", Sci Rep, 11, pp.2633~ (2021)
  38. Schlick-Steiner BC, "Integrative taxonomy : a multisource approach to exploring biodiversity", Annu Rev Entomol, 55, pp.421~438 (2010)
  39. Tsang C-C, "Rapid genomic diagnosis of fungal infections in the age of next-generation sequencing", J Fungi, 7, pp.636~ (2021)
  40. Berbee ML, "Loculoascomycete origins and evolution of filamentous ascomycete morphology based on 18S rRNA gene sequence data", Mol Biol Evol, 13, pp.462~470 (1996)
  41. Taylor JW, "Fungal multilocus sequence typing—it’s not just for bacteria", Mol Biol Evol, 6, pp.351~356 (2003)
  42. Hibbett D, "Sequence-based classification and identification of Fungi", Mycologia, 108, pp.1049~1068 (2016)
  43. Hilário S, "Using genealogical concordance and coalescent-based species delimitation to assess species boundaries in the Diaporthe eres complex", J Fungi, 7, pp.507~ (2021)

관련 논문AI추천

Identification of Clinical Mold Isolates by Sequence Analysis of the Internal Transcribed Spacer Region, Ribosomal Large-Subunit D1/D2, and β-Tubulin기창석, 이남용, 이장호, 장자현대한진단검사의학회 · Annals of Laboratory Medicine2012 · 제32권 제2호Performance Evaluation of VITEK MS for the Identification of a Wide Spectrum of Clinically Relevant Filamentous Fungi Using a Korean CollectionChoi Hyun Jung, Choi Hyun Woo, Chun Sejong, Kee Seung Jung, Kim Soo Hyun, Lee Dain, Lee Jun Hyung, Lee Seung Yeob, Shin Jong Hee, Shin Ju Hyeon, Shin Myung Geun, Won Eun Jeong대한진단검사의학회 · Annals of Laboratory Medicine2021 · 제41권 제2호Comparison of the Bruker Biotyper and VITEK MS Matrix- Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Systems Using a Formic Acid Extraction Method to Identify Common and Uncommon Yeast Isolates기승정, 김수현, 서순팔, 신명근, 신종희, 원은정, 이현승, 최민지대한진단검사의학회 · Annals of Laboratory Medicine2017 · 제37권 제3호Performance of Microflex LT Biotyper and VITEK MS for Routine Identification of Yeasts김명숙, 변정현, 유아름, 이경원대한진단검사의학회 · Annals of Laboratory Medicine2018 · 제38권 제5호Identification of Candida auris and Closely Related Species Using a New Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry, the ASTA MicroIDSys System기승정, 김수현, 마태오, 변승아, 신명근, 신종희, 원은정, 이가영, 이승엽, 인용하, 최민지, 최현우, 최현정대한진단검사의학회 · Laboratory Medicine Online2022 · 제12권 제1호Identification of Mucorales From Clinical Specimens: A 4-Year Experience in a Single Institution기창석, 김영권, 양미나, 이남용, 이장호, 허희재대한진단검사의학회 · Annals of Laboratory Medicine2016 · 제36권 제1호

이 간행물의 다른 논문 (6건)