2020
DOI: 10.1021/acs.est.0c03904
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DNA Sequence-Based Approach for Classifying the Mold Status of Buildings

Abstract: Dampness or water damage in buildings and human exposure to the resultant mold growth is an ever-present public health concern. This study provides quantitative evidence that the airborne fungal ecology of homes with known mold growth (“moldy”) differs from the normal airborne fungal ecology of homes with no history of dampness, water damage, or visible mold (“no mold”). Settled dust from indoor air and outdoor air and direct samples from building materials with mold growth were examined in homes from 11 citie… Show more

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Cited by 8 publications
(9 citation statements)
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“…Risk factors for weakened pelvic floor functions and urinary incontinence were analyzed by logistic regression calculating the value of odds ratio (OR). By applying analysis of similarities (ANOSIM), analysis of molecular variance (AMOVA), linear discriminant analysis effect size (LEfSe), software (version 1.0), and principal coordinate analysis (PCoA) based on the Bray–Curtis dissimilarity metrics, group differences were uncovered ( Excoffier et al, 1992 ; Schmidt et al, 2018 ; Hegarty et al, 2020 ). PCoA was conducted by WGCNA package, stat package, and ggplot2 package in R software, and LEfSe was displayed using the Novomagic, a free online platform for data analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Risk factors for weakened pelvic floor functions and urinary incontinence were analyzed by logistic regression calculating the value of odds ratio (OR). By applying analysis of similarities (ANOSIM), analysis of molecular variance (AMOVA), linear discriminant analysis effect size (LEfSe), software (version 1.0), and principal coordinate analysis (PCoA) based on the Bray–Curtis dissimilarity metrics, group differences were uncovered ( Excoffier et al, 1992 ; Schmidt et al, 2018 ; Hegarty et al, 2020 ). PCoA was conducted by WGCNA package, stat package, and ggplot2 package in R software, and LEfSe was displayed using the Novomagic, a free online platform for data analysis.…”
Section: Methodsmentioning
confidence: 99%
“…It should be noted that most of these studies were carried out in mouldy dwellings or dwellings in which inhabitants displayed respiratory problems [ 9 , 67 , 72 , 73 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 ]. Data are less numerous on normal buildings with no dampness, no visible mould contamination and no respiratory problems for occupants [ 63 , 66 , 75 , 76 , 81 , 82 , 87 , 88 ]. Only a few studies were performed in other types of buildings, such as hospitals, archives and museums [ 64 , 89 , 90 , 91 , 92 , 93 , 94 , 95 ].…”
Section: Microbial Species Identified On Indoor Building Materialsmentioning
confidence: 99%
“…The DNA analysis methods are based on the isolation and determination of DNA sequences that are specific to certain taxonomic groups. Different genes are used for the diagnoses of species such as the fungal internal transcribed spacer (ITS) [ 67 , 81 , 82 ] and β- tubulin gene by using primers Bt2a [ 86 ]. The main advantage is that the culture of microorganisms and the subsequent bias resulting from media selection is not always required and the analysis can be performed on freshly collected samples.…”
Section: Microbial Species Identified On Indoor Building Materialsmentioning
confidence: 99%
“…Ongoing research efforts show some promise. In one approach, researchers compare indoor to outdoor samples, but with new sequence-based approaches and analytical tools [6] . Another method showing promise is examining the abundance of targeted groups of fungi, based on a priori hypothesize about their likelihood of growing in damp buildings, in damaged homes compared to dry homes [7].…”
Section: Ongoing Effortsmentioning
confidence: 99%