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General decline in the diversity of the airborne microbiota under future climatic scenarios.
Ontiveros, Vicente J; Cáliz, Joan; Triadó-Margarit, Xavier; Alonso, David; Casamayor, Emilio O.
Afiliação
  • Ontiveros VJ; Theoretical and Computational Ecology, Center for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, 17300, Blanes, Spain. vicente.jimenez.ontiveros@gmail.com.
  • Cáliz J; Integrative Freshwater Ecology Group, Centre for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, 17300, Blanes, Spain.
  • Triadó-Margarit X; Integrative Freshwater Ecology Group, Centre for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, 17300, Blanes, Spain.
  • Alonso D; Theoretical and Computational Ecology, Center for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, 17300, Blanes, Spain.
  • Casamayor EO; Integrative Freshwater Ecology Group, Centre for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, 17300, Blanes, Spain. casamayor@ceab.csic.es.
Sci Rep ; 11(1): 20223, 2021 10 12.
Article em En | MEDLINE | ID: mdl-34642388
ABSTRACT
Microorganisms attached to aerosols can travel intercontinental distances, survive, and further colonize remote environments. Airborne microbes are influenced by environmental and climatic patterns that are predicted to change in the near future, with unknown consequences. We developed a new predictive method that dynamically addressed the temporal evolution of biodiversity in response to environmental covariates, linked to future climatic scenarios of the IPCC (AR5). We fitted these models against a 7-year monitoring of airborne microbes, collected in wet depositions. We found that Bacteria were more influenced by climatic variables than by aerosols sources, while the opposite was detected for Eukarya. Also, model simulations showed a general decline in bacterial richness, idiosyncratic responses of Eukarya, and changes in seasonality, with higher intensity within the worst-case climatic scenario (RCP 8.5). Additionally, the model predicted lower richness for airborne potential eukaryotic (fungi) pathogens of plants and humans. Our work pioneers on the potential effects of environmental variability on the airborne microbiome under the uncertain context of climate change.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plâncton / Bactérias / RNA Ribossômico 16S / RNA Ribossômico 18S / Análise de Sequência de DNA / Eucariotos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plâncton / Bactérias / RNA Ribossômico 16S / RNA Ribossômico 18S / Análise de Sequência de DNA / Eucariotos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article