Literature DB >> 27018492

Microbial analyses of airborne dust collected from dormitory rooms predict the sex of occupants.

J C Luongo1, A Barberán2, R Hacker-Cary3, E E Morgan2, S L Miller1, N Fierer2,4.   

Abstract

We have long known that human occupants are a major source of microbes in the built environment, thus raising the question: How much can we learn about the occupants of a building by analyzing the microbial communities found in indoor air? We investigated bacterial and fungal diversity found in airborne dust collected onto heating, ventilation, and air-conditioning (HVAC) air filters and settling plates from 91 rooms within a university dormitory. The sex of the room occupants had the most significant effect on the bacterial communities, while the room occupants had no significant effect on fungal communities. By examining the abundances of bacterial genera, we could predict the sex of room occupants with 79% accuracy, a finding that demonstrates the potential forensic applications of studying indoor air microbiology. We also identified which bacterial taxa were indicators of female and male rooms, and found that those taxa often identified as members of the vaginal microbiome were more common in female-occupied rooms while taxa associated with human skin or the male urogenital microbiota were more common in male-occupied rooms.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Bacteria; Bioaerosol; Built environment microbiome; Dust; HVAC filter; Indoor air

Mesh:

Substances:

Year:  2016        PMID: 27018492     DOI: 10.1111/ina.12302

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  16 in total

1.  Population Informative Markers Selected Using Wright's Fixation Index and Machine Learning Improves Human Identification Using the Skin Microbiome.

Authors:  Allison J Sherier; August E Woerner; Bruce Budowle
Journal:  Appl Environ Microbiol       Date:  2021-08-11       Impact factor: 4.792

Review 2.  Forensic Analysis of Human Microbiome in Skin and Body Fluids Based on Geographic Location.

Authors:  Hye-Won Cho; Yong-Bin Eom
Journal:  Front Cell Infect Microbiol       Date:  2021-08-12       Impact factor: 5.293

3.  An Assessment of Airborne Bacteria and Fungi in the Female Dormitory Environment: Level, Impact Factors and Dose Rate.

Authors:  Yanju Li; Xinyu Wang; Guoqing Cao; Yu Wang; Qingqing Miao; Jinlu He
Journal:  Int J Environ Res Public Health       Date:  2022-05-29       Impact factor: 4.614

4.  Assessment of culturable airborne bacteria of indoor environments in classrooms, dormitories and dining hall at university: a case study in China.

Authors:  Yanju Li; Yanhui Ge; Chunbin Wu; Dexing Guan; Jinbao Liu; Fuyang Wang
Journal:  Aerobiologia (Bologna)       Date:  2020-03-02       Impact factor: 2.410

5.  Comparative genomics of Bacteria commonly identified in the built environment.

Authors:  Nancy Merino; Shu Zhang; Masaru Tomita; Haruo Suzuki
Journal:  BMC Genomics       Date:  2019-01-28       Impact factor: 3.969

Review 6.  Precision public health to inhibit the contagion of disease and move toward a future in which microbes spread health.

Authors:  David S Thaler; Michael G Head; Andrew Horsley
Journal:  BMC Infect Dis       Date:  2019-02-06       Impact factor: 3.090

7.  Microbial Similarity between Students in a Common Dormitory Environment Reveals the Forensic Potential of Individual Microbial Signatures.

Authors:  Miles Richardson; Neil Gottel; Jack A Gilbert; Simon Lax
Journal:  mBio       Date:  2019-07-30       Impact factor: 7.867

8.  Continental-Scale Microbiome Study Reveals Different Environmental Characteristics Determining Microbial Richness, Composition, and Quantity in Hotel Rooms.

Authors:  Yanling Li; Qianqian Yuan; Xi Fu; Gui-Hong Cai; Yiqun Deng; Xin Zhang; Dan Norbäck; Yu Sun
Journal:  mSystems       Date:  2020-05-19       Impact factor: 6.496

9.  Filter forensics: microbiota recovery from residential HVAC filters.

Authors:  Juan P Maestre; Wiley Jennings; Dennis Wylie; Sharon D Horner; Jeffrey Siegel; Kerry A Kinney
Journal:  Microbiome       Date:  2018-01-30       Impact factor: 14.650

10.  Embracing microbes in exposure science.

Authors:  William W Nazaroff
Journal:  J Expo Sci Environ Epidemiol       Date:  2018-09-25       Impact factor: 5.563

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