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dc.rights.licenseCopyright © 2021 González-Martín, Pérez-González, González-Toril, Expósito, Aguilera and Díaz.es
dc.contributor.authorGonzález Martín, Cristinaes
dc.contributor.authorPérez González, Carlos J.es
dc.contributor.authorGonzález Toril, Elenaes
dc.contributor.authorExpósito, Francisco Javieres
dc.contributor.authorAguilera, Ángeleses
dc.contributor.authorDíaz, Juan P.es
dc.date.accessioned2025-01-28T13:03:50Z-
dc.date.available2025-01-28T13:03:50Z-
dc.date.issued2021-10-14-
dc.identifier.citationFrontiers in Microbiology 12: 732961 (2021)es
dc.identifier.otherhttps://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2021.732961/fulles
dc.identifier.urihttp://hdl.handle.net/20.500.12666/1029-
dc.description.abstractMicroorganisms are ubiquitous in the environment, and the atmosphere is no exception. However, airborne bacterial communities are some of the least studied. Increasing our knowledge about these communities and how environmental factors shape them is key to understanding disease outbreaks and transmission routes. We describe airborne bacterial communities at two different sites in Tenerife, La Laguna (urban, 600 m.a.s.l.) and Izaña (high mountain, 2,400 m.a.s.l.), and how they change throughout the year. Illumina MiSeq sequencing was used to target 16S rRNA genes in 293 samples. Results indicated a predominance of Proteobacteria at both sites (>65%), followed by Bacteroidetes, Actinobacteria, and Firmicutes. Gammaproteobacteria were the most frequent within the Proteobacteria phylum during spring and winter, while Alphaproteobacteria dominated in the fall and summer. Within the 519 genera identified, Cellvibrio was the most frequent during spring (35.75%) and winter (30.73%); Limnobacter (24.49%) and Blastomonas (19.88%) dominated in the summer; and Sediminibacterium represented 10.26 and 12.41% of fall and winter samples, respectively. Sphingomonas was also identified in 17.15% of the fall samples. These five genera were more abundant at the high mountain site, while other common airborne bacteria were more frequent at the urban site (Kocuria, Delftia, Mesorhizobium, and Methylobacterium). Diversity values showed different patterns for both sites, with higher values during the cooler seasons in Izaña, whereas the opposite was observed in La Laguna. Regarding wind back trajectories, Tropical air masses were significantly different from African ones at both sites, showing the highest diversity and characterized by genera regularly associated with humans (Pseudomonas, Sphingomonas, and Cloacibacterium), as well as others related to extreme conditions (Alicyclobacillus) or typically associated with animals (Lachnospiraceae). Marine and African air masses were consistent and very similar in their microbial composition. By contrast, European trajectories were dominated by Cellvibrio, Pseudomonas, Pseudoxanthomonas, and Sediminibacterium. These data contribute to our current state of knowledge in the field of atmospheric microbiology. However, future studies are needed to increase our understanding of the influence of different environmental factors on atmospheric microbial dispersion and the potential impact of airborne microorganisms on ecosystems and public health.es
dc.description.sponsorshipThis work was supported by CGL2015-67508-R, PID2019-104205GB-C22, PID2019-110442GB-I00, RTC-2017-6471-1_UDIGEN, and RTI2018-094867-B-I00 grants, funded by Ministerio de Economía y Competitividad (Spain). This project was financed by the European Union INTERREG MAC 2014-2020 Program, co-funded by European Regional Development Fund (ERDF-FEDER). The members of the Department of Physics (Earth and Atmosphere Observation Group) thank the PLANCLIMAC Project (MAC/3.5b/244) for its support. We also thank the Government of the Canary Islands, Council of Ecological Transition, Fight against Climate Change and Territorial Planning, for their support (published agreement: B.O.C. No. 238, November 20, 2020).es
dc.language.isoenges
dc.publisherFrontiers Mediaes
dc.relationinfo:eu-repo/grantAgreement/MINECO//CGL2015-67508-R/ES/MODELIZACION DE LA INVERSION TERMICA Y DE LAS PROPIEDADES DE LAS NUBES EN LA ZONA SUBTROPICAL. IMPLICACIONES EN EL CLIMA, EN LA CARGA AEROBIOLOGICA Y EN LOS RECURSOS HIDRICOS/es
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104205GB-C22/ES/CICLO DE AEROSOLES EN MARTE Y LA TIERRA, ESTUDIO COMPARATIVO. IMPLICACIONES PARA LA VIDA Y PROTECCION PLANETARIA%2FMICRO/es
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110442GB-I00/ES/INFERENCIA ESTADISTICA Y MODELIZACION APLICADA AL CONTROL DE CALIDAD, LA MONITORIZACION DE PROCESOS Y EL ANALISIS DE FIABILIDAD INDUSTRIAL/es
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094867-B-I00/ES/EL CONTROL MICROBIANO EN LA FORMACION DE DEPOSITOS MINERALES/es
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectAirbornees
dc.subjectBacteriaes
dc.subject16S rRNAes
dc.subjectTenerife (Canary Islands)es
dc.subjectWind back trajectorieses
dc.subjectSeasonses
dc.subjectNext-generation sequencing – NGSes
dc.titleAirborne Bacterial Community Composition According to Their Origin in Tenerife, Canary Islandses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3389/fmicb.2021.732961-
dc.identifier.e-issn664-302X-
dc.contributor.funderAgencia Estatal de Investigación (AEI)es
dc.contributor.funderEuropean Commission (EC)es
dc.contributor.funderCabildo de Gran Canariaes
dc.contributor.funderMinisterio para la Transición Ecológica y el Reto Demográfico (MITECO)es
dc.description.peerreviewedPeerreviewes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1es
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