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Dergiler / Atmospheric Pollution Research / 2018 / Cilt: 9 - Sayı: 5

Interest of the qPCR method calibrated with flow cytometry to quantify Aspergillus versicolor in mold-damaged homes and comparison with the cultural approach

Antoine DELANOË
Marilyne GUİLLAMİN
Natacha HEUTTE
Stéphanie GENTE
Virginie SÉGUİN
David GARON
Sayfa
871–876
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

A statistical analysis showed a correlation between qPCR and cultural approaches (r = 0.704,p < 0.001), and no significant difference (p = 0.153) between quantification with cultural and molecular approaches.Therefore a qPCR calibrated with flow cytometry could be routinely used to monitor A. versicolor inmold-damaged homes.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The contamination of indoor air by molds constitutes an economic and health concern in many countries.
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Temel Bulgular & Veri:In this study, the flowcytometry and qPCR techniques were used to quantitate A. versicolor in bioaerosols collected in 38 mold-damagedhomes.
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Sonuç & Katkı:A statistical analysis showed a correlation between qPCR and cultural approaches (r = 0.704,p < 0.001), and no significant difference (p = 0.153) between quantification with cultural and molecular approaches.Therefore a qPCR calibrated with flow cytometry could be routinely used to monitor A. versicolor inmold-damaged homes.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

The contamination of indoor air by molds constitutes an economic and health concern in many countries. Amongfungi found in bioaerosols, some species like Aspergillus versicolor are known to be recurrent and toxinogenic.Several methods can be used to quantify this mold in bioaerosols, however, the lack of a standardized and rapidmethod to assess the human exposure to A. versicolor in indoor environments is a problem. In this study, the flowcytometry and qPCR techniques were used to quantitate A. versicolor in bioaerosols collected in 38 mold-damagedhomes. A statistical analysis showed a correlation between qPCR and cultural approaches (r = 0.704,p < 0.001), and no significant difference (p = 0.153) between quantification with cultural and molecular approaches.Therefore a qPCR calibrated with flow cytometry could be routinely used to monitor A. versicolor inmold-damaged homes.

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Bu Makaleye Atıf Yap

DELANOË, A., GUİLLAMİN, M., HEUTTE, N., GENTE, S., SÉGUİN, V., GARON, D. (2018). Interest of the qPCR method calibrated with flow cytometry to quantify Aspergillus versicolor in mold-damaged homes and comparison with the cultural approach. Atmospheric Pollution Research, Cilt: 9 - Sayı: 5, 871–876. https://ajindex.com/articles/351492

Kaynakça (11)

  1. Andersen, B., Frisvad, J.C., Søndergaard, I., Rasmussen, I.S., Larsen, L.S., 2011. Associations between fungal species and water-damaged building materials. Appl. Environ. Microbiol. 77, 4180–4188.
  2. Baddley, J.W., Marr, K.A., Andes, D.R., Walsh, T.J., Kauffman, C.A., Kontoyiannis, D.P., Ito, J.I., Balajee, S.A., Pappas, P.G., Moser, S.A., 2009. Patterns of susceptibility of Aspergillus isolates recovered from patients enrolled in the transplant-associated infection surveillance network. J. Clin. Microbiol. 47, 3271–3275.
  3. Barbau-Piednoir, E., Bertrand, S., Mahillon, J., Roosens, N.H., Botteldoorn, N., 2013. SYBR(R)Green qPCR Salmonella detection system allowing discrimination at the genus, species and subspecies levels. Appl. Microbiol. Biotechnol. 97, 9811–9824.
  4. Beguin, H., Nolard, N., 1994. Mould diversity in homes I. Air and surface analysis of 130 dwellings. Aerobiologia 10, 157–166.
  5. Black, J., Dean, T., Byfield, G., Foarde, K., Menetrez, M., 2013. Determining fungi rRNA copy number by PCR. J. Biomol. Tech. 24, 32–38.
  6. Booth, C., 1966. The Genus Fusarium. Commonwealth Mycological Institute, Kew, pp. 237. Broeders, S., Huber, I., Grohmann, L., Berben, G., Taverniers, I., Mazzara, M., Roosens, N., Morisset, D., 2014. Guidelines for validation of qualitative real-time PCR methods. Trend Food SciTech 37, 115–126.
  7. DeLeo, P.C., Baveye, P., 1996. Enumeration and biomass estimation of Bacteria in aquifer microcosm studies by flow cytometry. Appl. Environ. Microbiol. 62 (12), 4580–4586.
  8. Domsch, K.H., Gams, W., Anderson, T.H., 1980. Compendium of Soil Fungi. Academic Press, London, pp. 672. Douwes, J., Thorne, P., Pearce, N., Heederik, D., 2003. Bioaerosol health effects and exposure assessment: progress and prospects. Ann. Occup. Hyg. 47 (3), 187–200. WHO Europe (World Health Organization Europe), 2009. WHO Guidelines for Indoor Air Quality. Dampness and Mould, Copenhagen, pp. 228. Fisk, W.J., Lei-Gomez, Q., Mendell, M.J., 2007. Meta-analyses of the associations of respiratory health effects with dampness and mold in homes. Indoor Air 17, 284–296.
  9. Gutarowska, B., Piotrowska, M., 2007. Methods of mycological analysis in buildings. Build. Environ. 42, 1843–1850.
  10. Haugland, R.A., Varma, M., Wymer, L.J., Vesper, S.J., 2004. Quantitative PCR analysis of selected Aspergillus, Penicillium and paecilomyces species. Syst. Appl. Microbiol. 27, 198–210.
  11. Hinrinkson, H.P., Hurst, S.F., Lott, T.J., Warnock, D.W., Morrison, C.J., 2005. Assessment of ribosomal large-subunit d1-d2,