Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year

Abstract Airborne microorganisms, including pathogens, would change with surrounding environments and become issues of global concern due to their threats to human health. Microbial communities typically contain a few abundant but many rare species. However, how the airborne abundant and rare microb...

Full description

Bibliographic Details
Main Authors: Hu Li, You‐Wei Hong, Meng‐Ke Gao, Xin‐Li An, Xiao‐Ru Yang, Yong‐Guan Zhu, Jin‐Sheng Chen, Jian‐Qiang Su
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:iMeta
Subjects:
Online Access:https://doi.org/10.1002/imt2.140
_version_ 1827396873539813376
author Hu Li
You‐Wei Hong
Meng‐Ke Gao
Xin‐Li An
Xiao‐Ru Yang
Yong‐Guan Zhu
Jin‐Sheng Chen
Jian‐Qiang Su
author_facet Hu Li
You‐Wei Hong
Meng‐Ke Gao
Xin‐Li An
Xiao‐Ru Yang
Yong‐Guan Zhu
Jin‐Sheng Chen
Jian‐Qiang Su
author_sort Hu Li
collection DOAJ
description Abstract Airborne microorganisms, including pathogens, would change with surrounding environments and become issues of global concern due to their threats to human health. Microbial communities typically contain a few abundant but many rare species. However, how the airborne abundant and rare microbial communities respond to environmental changes is still unclear, especially at hour scale. Here, we used a sequencing approach based on bacterial 16S rRNA genes and fungal ITS2 regions to investigate the high time‐resolved dynamics of airborne bacteria and fungi and to explore the responses of abundant and rare microbes to the atmospheric changes. Our results showed that air pollutants and microbial communities were significantly affected by human activities related to the Chinese New Year (CNY). Before CNY, significant hour‐scale changes in both abundant and rare subcommunities were observed, while only abundant bacterial subcommunity changed with hour time series during CNY. Air pollutants and meteorological parameters explained 61.5%−74.2% variations of abundant community but only 13.3%−21.6% variations of rare communities. These results suggested that abundant species were more sensitive to environmental changes than rare taxa. Stochastic processes predominated in the assembly of abundant communities, but deterministic processes determined the assembly of rare communities. Potential bacterial pathogens during CNY were the highest, suggesting an increased health risk of airborne microbes during CNY. Overall, our findings highlighted the “holiday effect” of CNY on airborne microbes and expanded the current understanding of the ecological mechanisms and health risks of microbes in a changing atmosphere.
first_indexed 2024-03-08T18:58:02Z
format Article
id doaj.art-97d6601b517a47ee9758da9125f7410c
institution Directory Open Access Journal
issn 2770-596X
language English
last_indexed 2024-03-08T18:58:02Z
publishDate 2023-11-01
publisher Wiley
record_format Article
series iMeta
spelling doaj.art-97d6601b517a47ee9758da9125f7410c2023-12-28T09:50:56ZengWileyiMeta2770-596X2023-11-0124n/an/a10.1002/imt2.140Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New YearHu Li0You‐Wei Hong1Meng‐Ke Gao2Xin‐Li An3Xiao‐Ru Yang4Yong‐Guan Zhu5Jin‐Sheng Chen6Jian‐Qiang Su7Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaKey Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment Chinese Academy of Sciences Xiamen ChinaAbstract Airborne microorganisms, including pathogens, would change with surrounding environments and become issues of global concern due to their threats to human health. Microbial communities typically contain a few abundant but many rare species. However, how the airborne abundant and rare microbial communities respond to environmental changes is still unclear, especially at hour scale. Here, we used a sequencing approach based on bacterial 16S rRNA genes and fungal ITS2 regions to investigate the high time‐resolved dynamics of airborne bacteria and fungi and to explore the responses of abundant and rare microbes to the atmospheric changes. Our results showed that air pollutants and microbial communities were significantly affected by human activities related to the Chinese New Year (CNY). Before CNY, significant hour‐scale changes in both abundant and rare subcommunities were observed, while only abundant bacterial subcommunity changed with hour time series during CNY. Air pollutants and meteorological parameters explained 61.5%−74.2% variations of abundant community but only 13.3%−21.6% variations of rare communities. These results suggested that abundant species were more sensitive to environmental changes than rare taxa. Stochastic processes predominated in the assembly of abundant communities, but deterministic processes determined the assembly of rare communities. Potential bacterial pathogens during CNY were the highest, suggesting an increased health risk of airborne microbes during CNY. Overall, our findings highlighted the “holiday effect” of CNY on airborne microbes and expanded the current understanding of the ecological mechanisms and health risks of microbes in a changing atmosphere.https://doi.org/10.1002/imt2.140atmospheric environmentbacteriacommunity assemblydeterministic processfungistochastic process
spellingShingle Hu Li
You‐Wei Hong
Meng‐Ke Gao
Xin‐Li An
Xiao‐Ru Yang
Yong‐Guan Zhu
Jin‐Sheng Chen
Jian‐Qiang Su
Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
iMeta
atmospheric environment
bacteria
community assembly
deterministic process
fungi
stochastic process
title Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
title_full Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
title_fullStr Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
title_full_unstemmed Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
title_short Distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with Chinese New Year
title_sort distinct responses of airborne abundant and rare microbial communities to atmospheric changes associated with chinese new year
topic atmospheric environment
bacteria
community assembly
deterministic process
fungi
stochastic process
url https://doi.org/10.1002/imt2.140
work_keys_str_mv AT huli distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT youweihong distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT mengkegao distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT xinlian distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT xiaoruyang distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT yongguanzhu distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT jinshengchen distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear
AT jianqiangsu distinctresponsesofairborneabundantandraremicrobialcommunitiestoatmosphericchangesassociatedwithchinesenewyear