Does the presence of certain bacterial family in the microbiome indicate specific indoor environment characteristics? A factorial design approach for identifying bio-fingerprints
Restricted accessResearch articleFirst published online January, 2020
Does the presence of certain bacterial family in the microbiome indicate specific indoor environment characteristics? A factorial design approach for identifying bio-fingerprints
The study applies the current knowledge on microbiome in built environments towards identifying microbes, specifically bacteria as bio-fingerprints which can reflect indoor space and occupant characteristics. Data were collected from the literature on the bacterial family and the indoor environment. The factorial design approach was applied to quantify and compare the influence of selected indoor environmental parameters, sampling region (air or surface), sampling locations (residence or non-residence), gender and age and their interactions on the types and concentration of detected bacterial families. Factorial design analysis identified and confirmed Corynebacteriaceae and Lactobacillaceae as the gender signature for males and females, respectively. The significant bacterial families across all scenarios are: Corynebacteriaceae, Propionibacteriaceae, Bacillaceae, Staphylococcaceae, Lactobacillaceae, Methylobacteriaceae, Moraxellaceae, Micrococcaceae, Enterobacteriaceae, Rhodobacteraceae, Streptococcaceae and Pseudomonadaceae. Higher concentrations of Propionibacteriaceae indicate that the specific location is an adult-occupied space. Staphylococcaceae presence is the bio-fingerprint of contaminated air of hospitals bio-fingerprint and Moraxellaceae on hospital surfaces are distinct characteristics. Streptococcaceae is a bio-fingerprint of contaminated air of schools and other children-occupied spaces. Enterobacteriaceae is a bio-fingerprint of contaminated air of non-residence locations. Bacillaceae does not indicate any indoor characteristics.
WeiklFTischerCProbstAJHeinrichJMarkevychIJochnerSPritschK.Fungal and bacterial communities in indoor dust follow different environmental determinants. PLoS One2016;
11: e0154131.
4.
AdamsRIMilettoMLindowSETaylorJWBrunsTD.Airborne bacterial communities in residences: similarities and differences with fungi. PLOS One. 2014;
9: e91283 (91281–91287).
5.
MeadowJFAltrichterAKembelSKlineJMhuireachGMoriyamaMNorthcuttDO'connorTWomackABrownG.Indoor airborne bacterial communities are influenced by ventilation, occupancy, and outdoor air source. Indoor Air2014;
24: 41–48.
6.
QianJHospodskyDYamamotoNNazaroffWWPecciaJ.Size‐resolved emission rates of airborne bacteria and fungi in an occupied classroom. Indoor Air2012;
22: 339–351.
7.
BarberánADunnRRReichBJPacificiKLaberEBMenningerHLMortonJMHenleyJBLeffJWMillerSL.The ecology of microscopic life in household dust. Proc R Soc B2015;
282(1814): 20151139.
8.
FloresGEBatesSTKnightsDLauberCLStombaughJKnightRFiererN.Microbial biogeography of public restroom surfaces. PLoS One2011;
6: e28132.
9.
LuongoJCBarberánAHacker-CaryRMorganEEMillerSLFiererN.Microbial analyses of airborne dust collected from dormitory rooms predict the sex of occupants. Indoor Air2017;
27: 338–344.
10.
WangXLiuWHuangCCaiJShenLZouZLuRChangJWeiXSunC.Associations of dwelling characteristics, home dampness, and lifestyle behaviors with indoor airborne culturable fungi: on-site inspection in 454 Shanghai residences. Build Environ2016;
102: 159–166.
11.
KembelSWJonesEKlineJNorthcuttDStensonJWomackAMBohannanBJBrownGGreenJL.Architectural design influences the diversity and structure of the built environment microbiome. ISME J2012;
6: 1469–1479.
12.
LaxSSmithDPHampton-MarcellJOwensSMHandleyKMScottNMGibbonsSMLarsenPShoganBDWeissSMetcalfJLUrsellLKVazquez-BaezaYVan TreurenWHasanNAGibsonMKColwellRDantasGKnightRGilbertJA.Longitudinal analysis of microbial interaction between humans and the indoor environment. Science2014;
345: 1048–1052.
13.
PrussinAJMarrLC.Sources of airborne microorganisms in the built environment. Microbiome2015;
3: 78.
14.
De WildePColeyD.The implications of a changing climate for buildings.
Amsterdam:
Elsevier, 2012.
15.
ChanDWLeungPHTamCSJonesA.Survey of airborne bacterial genus at a University Campus. Indoor Built Environ2008;
17: 460–466.
16.
Gołofit-SzymczakMGórnyRL.Bacterial and fungal aerosols in air-conditioned office buildings in Warsaw, Poland – the winter season. Int J Occup Saf Ergon2010;
16: 465–476.
17.
GhoshBLalHKushwahaRHazarikaNSrivastavaAJainV.Estimation of bioaerosol in indoor environment in the university library of Delhi. Sustain Environ Res2013;
23: 199–207.
18.
MilettoMLindowSE.Relative and contextual contribution of different sources to the composition and abundance of indoor air bacteria in residences. Microbiome2015;
3: 61.
19.
DengWChaiYLinHSoWWHoKTsuiAWongR.Distribution of bacteria in inhalable particles and its implications for health risks in kindergarten children in Hong Kong. Atmos Environ2016;
128: 268–275.
20.
HoisingtonAMaestreJKinneyKSiegelJA.Characterizing the bacterial communities in retail stores in the United States. Indoor Air2016;
26: 857–868.
21.
ShinS-KKimJHaS-MOhH-SChunJSohnJYiH.Metagenomic insights into the bioaerosols in the indoor and outdoor environments of childcare facilities. PLoS One2015;
10: e0126960.
22.
HayleeyesusSFManayeAM.Microbiological quality of indoor air in university libraries. Asian Pac J Trop Biomed2014;
4: S312–S317.
23.
ChanPYuPChengYChanCWongP.Comprehensive characterization of indoor airborne bacterial profile. J Environ Sci (China)2009;
21: 1148–1152.
24.
FangZGongCOuyangZLiuPSunLWangX.Characteristic and concentration distribution of culturable airborne bacteria in residential environments in Beijing, China. Aerosol Air Qual Res2014;
14: 943–953.
25.
MeadowJFAltrichterAEBatemanACStensonJBrownGGreenJLBohannanBJ.Humans differ in their personal microbial cloud. Peer J2015;
3: e1258.
26.
BouillardLMichelODramaixMDevleeschouwerM.Bacterial contamination of indoor air, surfaces, and settled dust, and related dust endotoxin concentrations in healthy office buildings. Ann Agric Environ Med2005;
12: 187–192.
27.
MenteseSArisoyMRadAYGüllüG.Bacteria and fungi levels in various indoor and outdoor environments in Ankara, Turkey. Clean Soil Air Water2009;
37: 487–493.
28.
TangCSChungFFLinMCWanGH.Impact of patient visiting activities on indoor climate in a medical intensive care unit: a 1-year longitudinal study. Am J Infect Control2009;
37: 183–188.
29.
NieslerAGórnyRLWlazłoAŁudzeń-IzbińskaBŁawniczek-WałczykAGołofit-SzymczakMMeresZKasznia-KocotJHarkawyALisDO.Microbial contamination of storerooms at the Auschwitz-Birkenau Museum. Aerobiologia2010;
26: 125–133.
30.
HartmannEMHickeyRHsuTBetancourt RománCMChenJSchwagerRKlineJBrownGHaldenRUHuttenhowerC.Antimicrobial chemicals are associated with elevated antibiotic resistance genes in the indoor dust microbiome. Environ Sci Technol2016;
50: 9807–9815.
31.
BoxGEHunterWGHunterJS.Statistics for experimenters: an introduction to design, data analysis and model building.
JSTOR, 1978, pp. 306–350.
32.
CostelloEKLauberCLHamadyMFiererNGordonJIKnightR.Bacterial community variation in human body habitats across space and time. Science2009;
326: 1694–1697.
33.
JahnsACAlexeyevOA.Microbial colonization of normal skin: direct visualization of 194 skin biopsies. Anaerobe2016;
38: 47–49.
34.
YingSZengD-NChiLTanYGalzoteCCardonaCLaxSGilbertJQuanZ-X.The influence of age and gender on skin-associated microbial communities in urban and rural human populations. PLoS One2015;
10: e0141842.
35.
AyçiçekHAydoğanHKüçükkaraaslanABaysallarMBaşustaoğluAC.Assessment of the bacterial contamination on hands of hospital food handlers. Food Control2004;
15: 253–259.
36.
MeadowJFAltrichterAEGreenJL.Mobile phones carry the personal microbiome of their owners. Peer J. 2014;
2: e447.
37.
KorogluMGunalSYildizFSavasMOzerA and AltindisM.Comparison of keypads and touch-screen mobile phones/devices as potential risk for microbial contamination. J Infect Dev Ctries2015;
9: 1308–1314.
38.
FiererNHamadyMLauberCLKnightR.The influence of sex, handedness, and washing on the diversity of hand surface bacteria. Proc Natl Acad Sci2008;
105: 17994–17999.
39.
AdamsRIBhangarSDannemillerKCEisenJAFiererNGilbertJAGreenJLMarrLCMillerSLSiegelJA.Ten questions concerning the microbiomes of buildings. Build Environ2016;
109: 224–234.
40.
YuanHZhangDShiYLiBYangJYuXChenNKakikawaM.Cell concentration, viability and culture composition of airborne bacteria during a dust event in Beijing. J Environ Sci2017;
55: 33–40.
41.
NesaDLortholaryJBouaklineABordesMChandenierJDerouinFGangneuxJP.Comparative performance of impactor air samplers for quantification of fungal contamination. J Hosp Infect2001;
47: 149–155.
42.
RendonRVCGarciaBCBVitalPG.Assessment of airborne bacteria in selected occupational environments in Quezon City, Philippines. Arch Environ Occup Health2017;
72: 178–183.
43.
AydogduHAsanAOtkunMTTureM.Monitoring of fungi and bacteria in the indoor air of primary schools in Edirne city, Turkey. Indoor Built Environ2005;
14: 411–425.
44.
EmersonJBKeadyPBBrewerTEClementsNMorganEEAwerbuchJMillerSLFiererN.Impacts of flood damage on airborne bacteria and fungi in homes after the 2013 Colorado Front Range flood. Environ Sci Technol2015;
49: 2675–2684.
45.
OberaunerLZachowCLacknerSHögenauerCSmolleK-HBergG.The ignored diversity: complex bacterial communities in intensive care units revealed by 16S pyrosequencing. Sci Rep2013;
3: srep01413.
46.
MoenBRøssvollEMågeIMøretrøTLangsrudS.Microbiota formed on attached stainless steel coupons correlates with the natural biofilm of the sink surface in domestic kitchens. Can J Microbiol2015;
62: 148–160.
47.
DekioIHayashiHSakamotoMKitaharaMNishikawaTSuematsuMBennoY.Detection of potentially novel bacterial components of the human skin microbiota using culture-independent molecular profiling. J Med Microbiol2005;
54: 1231–1238.
48.
GaoZTsengC-hPeiZBlaserMJ.Molecular analysis of human forearm superficial skin bacterial biota. Proc Natl Acad Sci2007;
104: 2927–2932.
49.
SolomonFBWadiloFWArotaAAAbrahamYL.Antibiotic resistant airborne bacteria and their multidrug resistance pattern at University teaching referral Hospital in South Ethiopia. Ann Clin Microbiol Antimicrob2017;
16: 29.
50.
KimKYKimYSKimD.Distribution characteristics of airborne bacteria and fungi in the general hospitals of Korea. Ind Health2010;
48: 236–243.
51.
HoseinzadehESamarghandieMRGhiasianSAAlikhaniMYRoshanaieG.Evaluation of bioaerosols in five educational hospitals wards air in Hamedan, during 2011–2012. Jundishapur J Microbiol2013;
6: e10704.
52.
VerdeSCAlmeidaSMMatosJGuerreiroDMenesesMFariaTBotelhoDSantosMViegasC.Microbiological assessment of indoor air quality at different hospital sites. Res Microbiol2015;
166: 557–563.
53.
AydogduHAsanAOtkunMT.Indoor and outdoor airborne bacteria in child day-care centers in Edirne City (Turkey), seasonal distribution and influence of meteorological factors. Environ Monit Assess2010;
164: 53–66.
54.
MadureiraJPaciênciaIRufoJCPereiraCTeixeiraJPde Oliveira FernandesE.Assessment and determinants of airborne bacterial and fungal concentrations in different indoor environments: homes, child day-care centres, primary schools and elderly care centres. Atmos Environ2015;
109: 139–146.
55.
MehrSWoodN.Streptococcus pneumoniae – a review of carriage, infection, serotype replacement and vaccination. Paediatr Respir Rev2012;
13: 258–264.
56.
DunnRRFiererNHenleyJBLeffJWMenningerHL.Home life: factors structuring the bacterial diversity found within and between homes. PLoS One2013;
8: e64133.
57.
MukherjeeNDowdSEWiseAKediaSVohraVBanerjeeP.Diversity of bacterial communities of fitness center surfaces in a US metropolitan area. Int J Env Res Public Health2014;
11: 12544–12561.
58.
O'BrienKLWolfsonLJWattJPHenkleEDeloria-KnollMMcCallNLeeEMulhollandKLevineOSCherianT.Burden of disease caused by Streptococcus pneumoniae in children younger than 5 years: global estimates. Lancet2009;
374: 893–902.
59.
MillerDHospodskyDGorthalaSNazaroffWPecciaJ. Seasonal variation of indoor bacterial aerosols in naturally ventilated urban classrooms with high outdoor particulate matter concentrations. UC Berkeley, https://escholarship.org/uc/item/6914g1q4 (accessed 1 January 2014).
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