Literature DB >> 29782003

Collection and Extraction of Occupational Air Samples for Analysis of Fungal DNA.

Angela R Lemons1, William G Lindsley2, Brett J Green2.   

Abstract

Traditional methods of identifying fungal exposures in occupational environments, such as culture and microscopy-based approaches, have several limitations that have resulted in the exclusion of many species. Advances in the field over the last two decades have led occupational health researchers to turn to molecular-based approaches for identifying fungal hazards. These methods have resulted in the detection of many species within indoor and occupational environments that have not been detected using traditional methods. This protocol details an approach for determining fungal diversity within air samples through genomic DNA extraction, amplification, sequencing, and taxonomic identification of fungal internal transcribed spacer (ITS) regions. ITS sequencing results in the detection of many fungal species that are either not detected or difficult to identify to species level using culture or microscopy. While these methods do not provide quantitative measures of fungal burden, they offer a new approach to hazard identification and can be used to determine overall species richness and diversity within an occupational environment.

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Year:  2018        PMID: 29782003      PMCID: PMC6101061          DOI: 10.3791/56730

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  20 in total

1.  Development of an improved methodology to detect infectious airborne influenza virus using the NIOSH bioaerosol sampler.

Authors:  G Cao; J D Noti; F M Blachere; W G Lindsley; D H Beezhold
Journal:  J Environ Monit       Date:  2011-10-05

2.  Evaluation of interference to conventional and real-time PCR for detection and quantification of fungi in dust.

Authors:  Jyoti Keswani; Michael L Kashon; Bean T Chen
Journal:  J Environ Monit       Date:  2005-02-23

3.  A two-stage cyclone using microcentrifuge tubes for personal bioaerosol sampling.

Authors:  William G Lindsley; Detlef Schmechel; Bean T Chen
Journal:  J Environ Monit       Date:  2006-09-08

4.  Analysis of fungal flora in indoor dust by ribosomal DNA sequence analysis, quantitative PCR, and culture.

Authors:  M Pitkäranta; T Meklin; A Hyvärinen; L Paulin; P Auvinen; A Nevalainen; H Rintala
Journal:  Appl Environ Microbiol       Date:  2007-11-02       Impact factor: 4.792

5.  Internal transcribed spacer rRNA gene sequencing analysis of fungal diversity in Kansas City indoor environments.

Authors:  William R Rittenour; Christina E Ciaccio; Charles S Barnes; Michael L Kashon; Angela R Lemons; Donald H Beezhold; Brett J Green
Journal:  Environ Sci Process Impacts       Date:  2014-01       Impact factor: 4.238

6.  Comparison of DNA extraction methodologies used for assessing fungal diversity via ITS sequencing.

Authors:  William R Rittenour; Ju-Hyeong Park; Jean M Cox-Ganser; Donald H Beezhold; Brett J Green
Journal:  J Environ Monit       Date:  2012-01-09

7.  Assessment of fungal diversity in a water-damaged office building.

Authors:  Brett J Green; Angela R Lemons; Yeonmi Park; Jean M Cox-Ganser; Ju-Hyeong Park
Journal:  J Occup Environ Hyg       Date:  2017-04       Impact factor: 2.155

8.  Effect of genome size and rrn gene copy number on PCR amplification of 16S rRNA genes from a mixture of bacterial species.

Authors:  V Farrelly; F A Rainey; E Stackebrandt
Journal:  Appl Environ Microbiol       Date:  1995-07       Impact factor: 4.792

9.  High-coverage ITS primers for the DNA-based identification of ascomycetes and basidiomycetes in environmental samples.

Authors:  Hirokazu Toju; Akifumi S Tanabe; Satoshi Yamamoto; Hirotoshi Sato
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

10.  Fungal-specific PCR primers developed for analysis of the ITS region of environmental DNA extracts.

Authors:  Kendall J Martin; Paul T Rygiewicz
Journal:  BMC Microbiol       Date:  2005-05-18       Impact factor: 3.605

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