Airborne bacterial communities associated with particulate matter in Temuco (Chile), one of the most air-polluted cities in South America

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datacite.alternateIdentifier.citationAEROBIOLOGIA,Vol.39,457-476,2023
datacite.alternateIdentifier.doi10.1007/s10453-023-09803-9
datacite.creatorRuiz Gil, Tay
datacite.creatorRilling, Joaquin I.
datacite.creatorCampos, Marco
datacite.creatorCarrazana, Elizabeth
datacite.creatorFujiyoshi, So
datacite.creatorMaruyama, Fumito
datacite.creatorTanaka, Daisuke
datacite.creatorSakatoku, Akihiro
datacite.creatorNoda, Jun
datacite.creatorAcuna, Jacquelinne J.
datacite.creatorJorquera, Milko A.
datacite.date2023
datacite.subject.englishAirborne bacteria
datacite.subject.englishAir microbiome
datacite.subject.englishAir quality monitoring
datacite.subject.englishBacterial communities
datacite.subject.englishParticulate matter
datacite.titleAirborne bacterial communities associated with particulate matter in Temuco (Chile), one of the most air-polluted cities in South America
dc.date.accessioned2024-05-27T18:27:50Z
dc.date.available2024-05-27T18:27:50Z
dc.description.abstractTemuco city is categorized as one of the most air-polluted cities in Latin America; consequently, an air quality monitoring (AQM) program based on low-volume air samplers has been established by the Chilean government. However, AQM program does not consider any microbiological parameters to be analyzed. In this context, we firstly investigated the bacterial communities contained in particulate matter fractions (PM10 and PM2.5) collected by AQM program in Temuco city. Secondly, we compared the bacterial communities collected by AQM program with those collected by an environmental monitoring (EM) sampling using a high-volume air sampler. The potential relation between bacterial abundances and some environmental parameters was also addressed. In AQM samples, significant differences of bacterial abundances between PM fractions were not revealed by qPCR, although DNA metabarcoding analysis showed significant differences in bacterial diversities between PM fractions. When both EM and AQM sampling methods were compared, significant differences in abundance and diversity were observed, but differences between PM factions in each method were not found. Independent of sampling method, a negative relation between bacterial abundances and relative humidity was observed. Similarly, Proteobacteria (Pseudomonadota), Bacteroidetes (Bacteroidota) and Actinobacteria (Actinomycetota) were the dominant phyla observed in both methods by DNA metabarcoding analysis. Here, we demonstrated that the AQM program may be used as a source of samples for airborne bacteria studies; however, in case microbiological parameters will be incorporated or adopted in the AQM program, those data should be complemented with other sampling methods.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5850
dc.language.isoen
dc.publisherSPRINGER
dc.sourceAEROBIOLOGIA
oaire.resourceTypeArticle
uct.indizacionSCI
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