Associations of observed home dampness and mold with the fungal and bacterial dust microbiomes.

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Title: Associations of observed home dampness and mold with the fungal and bacterial dust microbiomes.
Authors: Cox, Jennie1 (AUTHOR), Stone, Timothy1 (AUTHOR), Ryan, Patrick1,2 (AUTHOR), Burkle, Jeff2 (AUTHOR), Jandarov, Roman1 (AUTHOR), Mendell, Mark J.3 (AUTHOR), Adams, Rachel I.4 (AUTHOR), Niemeier-Walsh, Christine1 (AUTHOR), Reponen, Tiina1 (AUTHOR) reponeta@ucmail.uc.edu
Source: Environmental Science: Processes & Impacts. Mar2021, Vol. 23 Issue 3, p491-500. 10p.
Subject Terms: *Bacterial communities, *Air pollution, *Dust, Fungal communities, Bacterial diversity, Rank correlation (Statistics), Regression analysis
Abstract: The objective of this analysis was to examine and compare quantitative metrics of observed dampness and mold, including visible mold and moisture damage, and fungal and bacterial microbiomes. In-home visits were conducted at age 7 for children enrolled in the Cincinnati Childhood Allergy and Air Pollution Study. Trained study staff evaluated the primary residence and measured total areas of visible moisture and mold damage in the home. Floor dust was collected and archived. Archived dust samples collected from each home (n = 178) were extracted and analyzed using bacterial (16S rRNA gene) and fungal (internal transcribed spacer region) sequencing. Fungi were also divided into moisture requirement categories of xerophiles, mesophiles, and hydrophiles. Data analyses used Spearman's correlation, Kruskal–Wallis, Permanova, DESeq, and negative binomial regression models. Comparing high moisture or mold damage to no damage, five fungal species and two bacterial species had higher concentrations (absolute abundance) and six fungal species and three bacterial species had lower concentrations. Hydrophilic and mesophilic fungi showed significant dose-related increases with increasing moisture damage and mold damage, respectively. When comparing alpha or beta diversity of fungi and bacteria across mold and moisture damage levels, no significant associations or differences were found. Mold and moisture damage did not affect diversity of fungal and bacterial microbiomes. Instead, both kinds of damage were associated with changes in species composition of both bacterial and fungal microbiomes, indicating that fungal and bacterial communities in the home might be influenced by one another as well as by mold or moisture in the home. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Science: Processes & Impacts is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Associations of observed home dampness and mold with the fungal and bacterial dust microbiomes.
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  Data: <searchLink fieldCode="AR" term="%22Cox%2C+Jennie%22">Cox, Jennie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stone%2C+Timothy%22">Stone, Timothy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ryan%2C+Patrick%22">Ryan, Patrick</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burkle%2C+Jeff%22">Burkle, Jeff</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jandarov%2C+Roman%22">Jandarov, Roman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mendell%2C+Mark+J%2E%22">Mendell, Mark J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adams%2C+Rachel+I%2E%22">Adams, Rachel I.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Niemeier-Walsh%2C+Christine%22">Niemeier-Walsh, Christine</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reponen%2C+Tiina%22">Reponen, Tiina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> reponeta@ucmail.uc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Science%3A+Processes+%26+Impacts%22">Environmental Science: Processes & Impacts</searchLink>. Mar2021, Vol. 23 Issue 3, p491-500. 10p.
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  Data: *<searchLink fieldCode="DE" term="%22Bacterial+communities%22">Bacterial communities</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Dust%22">Dust</searchLink><br /><searchLink fieldCode="DE" term="%22Fungal+communities%22">Fungal communities</searchLink><br /><searchLink fieldCode="DE" term="%22Bacterial+diversity%22">Bacterial diversity</searchLink><br /><searchLink fieldCode="DE" term="%22Rank+correlation+%28Statistics%29%22">Rank correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
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  Label: Abstract
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  Data: The objective of this analysis was to examine and compare quantitative metrics of observed dampness and mold, including visible mold and moisture damage, and fungal and bacterial microbiomes. In-home visits were conducted at age 7 for children enrolled in the Cincinnati Childhood Allergy and Air Pollution Study. Trained study staff evaluated the primary residence and measured total areas of visible moisture and mold damage in the home. Floor dust was collected and archived. Archived dust samples collected from each home (n = 178) were extracted and analyzed using bacterial (16S rRNA gene) and fungal (internal transcribed spacer region) sequencing. Fungi were also divided into moisture requirement categories of xerophiles, mesophiles, and hydrophiles. Data analyses used Spearman's correlation, Kruskal–Wallis, Permanova, DESeq, and negative binomial regression models. Comparing high moisture or mold damage to no damage, five fungal species and two bacterial species had higher concentrations (absolute abundance) and six fungal species and three bacterial species had lower concentrations. Hydrophilic and mesophilic fungi showed significant dose-related increases with increasing moisture damage and mold damage, respectively. When comparing alpha or beta diversity of fungi and bacteria across mold and moisture damage levels, no significant associations or differences were found. Mold and moisture damage did not affect diversity of fungal and bacterial microbiomes. Instead, both kinds of damage were associated with changes in species composition of both bacterial and fungal microbiomes, indicating that fungal and bacterial communities in the home might be influenced by one another as well as by mold or moisture in the home. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Environmental Science: Processes & Impacts is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1039/d0em00505c
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 491
    Subjects:
      – SubjectFull: Bacterial communities
        Type: general
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Dust
        Type: general
      – SubjectFull: Fungal communities
        Type: general
      – SubjectFull: Bacterial diversity
        Type: general
      – SubjectFull: Rank correlation (Statistics)
        Type: general
      – SubjectFull: Regression analysis
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      – TitleFull: Associations of observed home dampness and mold with the fungal and bacterial dust microbiomes.
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            NameFull: Stone, Timothy
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            NameFull: Jandarov, Roman
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              M: 03
              Text: Mar2021
              Type: published
              Y: 2021
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