Literature DB >> 33170406

Urban Aerobiomes are Influenced by Season, Vegetation, and Individual Site Characteristics.

Gwynne Á Mhuireach1,2,3, Hannah Wilson4,5, Bart R Johnson6.   

Abstract

Exposure to biodiverse environments such as forests can benefit human well-being, and evidence suggests exposure to high microbial diversity may improve mental and immune health. However, the factors that drive microbial community assembly are poorly understood, as is the relationship between exposure to these communities and human health. We characterized airborne bacterial communities in two disparate types of urban greenspace (forest and grass) in late-spring 2017 at sites previously sampled in late-summer 2015 in Eugene-Springfield, Oregon, using high-throughput metabarcode sequencing. While all sites shared a core aerobiome in late-spring consisting of plant- and soil-associated genera, forests had significantly higher diversity than grass sites (F = 12, P = 0.004). Vegetation type explained 14% of the difference between forest and grass aerobiomes, yet individual site location explained 41% of the variation. These results were similar to but amplified over those from late summer, suggesting that both aerobiome diversity and vegetation-driven effects are higher when deciduous foliage is fresher and more active, temperatures cooler, and humidity higher. Continued exploration and hypothesis-driven research will enable development of mechanistic theory describing key drivers of urban aerobiome assembly and its relationship to human health, which, in turn, will help urban designers and planners create evidence-based salutogenic cities for future generations.
© 2020. EcoHealth Alliance.

Entities:  

Keywords:  16S; Biodiverse; Microbiome; One health; Salutogenic; Urban design

Mesh:

Substances:

Year:  2020        PMID: 33170406     DOI: 10.1007/s10393-020-01493-w

Source DB:  PubMed          Journal:  Ecohealth        ISSN: 1612-9202            Impact factor:   3.184


  32 in total

1.  Seasonal community succession of the phyllosphere microbiome.

Authors:  Julia K Copeland; Lijie Yuan; Mehdi Layeghifard; Pauline W Wang; David S Guttman
Journal:  Mol Plant Microbe Interact       Date:  2015-03       Impact factor: 4.171

Review 2.  Effects of forest bathing (shinrin-yoku) on levels of cortisol as a stress biomarker: a systematic review and meta-analysis.

Authors:  Michele Antonelli; Grazia Barbieri; Davide Donelli
Journal:  Int J Biometeorol       Date:  2019-04-18       Impact factor: 3.787

3.  A long-term survey unveils strong seasonal patterns in the airborne microbiome coupled to general and regional atmospheric circulations.

Authors:  Joan Cáliz; Xavier Triadó-Margarit; Lluís Camarero; Emilio O Casamayor
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-12       Impact factor: 11.205

4.  Temporal variability and effect of environmental variables on airborne bacterial communities in an urban area of Northern Italy.

Authors:  Valentina Bertolini; Isabella Gandolfi; Roberto Ambrosini; Giuseppina Bestetti; Elena Innocente; Giancarlo Rampazzo; Andrea Franzetti
Journal:  Appl Microbiol Biotechnol       Date:  2012-10-05       Impact factor: 4.813

Review 5.  Unravelling the bacterial diversity in the atmosphere.

Authors:  Isabella Gandolfi; Valentina Bertolini; Roberto Ambrosini; Giuseppina Bestetti; Andrea Franzetti
Journal:  Appl Microbiol Biotechnol       Date:  2013-04-21       Impact factor: 4.813

6.  The evolution of One Health: a decade of progress and challenges for the future.

Authors:  E Paul J Gibbs
Journal:  Vet Rec       Date:  2014-01-25       Impact factor: 2.695

7.  Dust-borne bacteria in animal sheds, schools and children's day care centres.

Authors:  A M Andersson; N Weiss; F Rainey; M S Salkinoja-Salonen
Journal:  J Appl Microbiol       Date:  1999-04       Impact factor: 3.772

8.  Sources of bacteria in outdoor air across cities in the midwestern United States.

Authors:  Robert M Bowers; Amy P Sullivan; Elizabeth K Costello; Jeff L Collett; Rob Knight; Noah Fierer
Journal:  Appl Environ Microbiol       Date:  2011-07-29       Impact factor: 4.792

9.  Applications of species accumulation curves in large-scale biological data analysis.

Authors:  Chao Deng; Timothy Daley; Andrew D Smith
Journal:  Quant Biol       Date:  2015-10-17

10.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

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  1 in total

1.  Indoor green wall affects health-associated commensal skin microbiota and enhances immune regulation: a randomized trial among urban office workers.

Authors:  L Soininen; M I Roslund; N Nurminen; R Puhakka; O H Laitinen; H Hyöty; A Sinkkonen
Journal:  Sci Rep       Date:  2022-04-20       Impact factor: 4.996

  1 in total

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