Literature DB >> 32121209

Indoor Microbiome: Quantification of Exposure and Association with Geographical Location, Meteorological Factors, and Land Use in France.

Steffi Rocchi1,2, Gabriel Reboux1,2, Emeline Scherer1,2, Audrey Laboissière2, Cécile Zaros3, Adeline Rouzet1,2, Benoit Valot2, Sadia Khan4, Marie-Noëlle Dufourg3, Bénédicte Leynaert5,6, Chantal Raherison4,7, Laurence Millon1,2.   

Abstract

The indoor microbial community is a mixture of microorganisms resulting from outdoor ecosystems that seed the built environment. However, the biogeography of the indoor microbial community is still inadequately studied. Dust from more than 3000 dwellings across France was analyzed by qPCR using 17 targets: 10 molds, 3 bacteria groups, and 4 mites. Thus, the first spatial description of the main indoor microbial allergens on the French territory, in relation with biogeographical factors influencing the distribution of microorganisms, was realized in this study. Ten microorganisms out of 17 exhibited increasing abundance profiles across the country: Five microorganisms (Dermatophagoïdes pteronyssinus, Dermatophagoïdes spp., Streptomyces spp., Cladosporium sphaerospermum, Epicoccum nigrum) from northeast to southwest, two (Cryptococcus spp., Alternaria alternata) from northwest to southeast, Mycobacteria from east to west, Aspergillus fumigatus from south to north, and Penicillium chrysogenum from south to northeast. These geographical patterns were partly linked to climate and land cover. Multivariate analysis showed that composition of communities seemed to depend on landscapes, with species related to closed and rather cold and humid landscapes (forests, located in the northeast) and others to more open, hot, and dry landscapes (herbaceous and coastal regions, located in the west). This study highlights the importance of geographical location and outdoor factors that shape communities. In order to study the effect of microorganisms on human health (allergic diseases in particular), it is important to identify biogeographic factors that structure microbial communities on large spatial scales and to quantify the exposure with quantitative tools, such as the multi-qPCR approach.

Entities:  

Keywords:  bacteria; dust mites; electrostatic dust collector; indoor exposure; molds; qPCR

Year:  2020        PMID: 32121209     DOI: 10.3390/microorganisms8030341

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  2 in total

1.  Urban Life as Risk Factor for Aspergillosis.

Authors:  Claudia Grehn; Patience Eschenhagen; Svenja Temming; Uta Düesberg; Konrad Neumann; Carsten Schwarz
Journal:  Front Cell Infect Microbiol       Date:  2020-11-02       Impact factor: 5.293

2.  Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M.

Authors:  Zheng Sun; Shi Huang; Pengfei Zhu; Lam Tzehau; Helen Zhao; Jia Lv; Rongchao Zhang; Lisha Zhou; Qianya Niu; Xiuping Wang; Meng Zhang; Gongchao Jing; Zhenmin Bao; Jiquan Liu; Shi Wang; Jian Xu
Journal:  Genome Biol       Date:  2022-01-26       Impact factor: 13.583

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.