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- W2898971330 abstract "Bacteria are ubiquitous in the near-surface atmosphere where they constitute an important component of aerosols with the potential to affect climate change, ecosystems, atmospheric process and human health. Limitation in tracking bacterial diversity accurately has thus far prevented the knowledge of airborne bacteria and their pathogenic properties. We performed a comprehensive assessment of bacterial abundance and diverse community in PM2.5 collected at Mt. Tai, via high-throughput sequencing and real-time PCR. The samples exhibited a high microbial biodiversity and complex chemical composition. The dominating populations were gram-negative bacteria including Burkholderia, Delftia, Bradyrhizobium, and Methylobacterium. The PM mass concentration, chemical composition, bacterial concentration and community structure varied under the influence of different air-mass trajectories. The highest mass concentration of PM2.5 (61 μg m−3) and major chemical components were recorded during periods when marine southeasterly air masses were dominant. The local terrestrial air masses from Shandong peninsula and its adjacent areas harbored highest bacterial concentration loading (602 cells m−3) and more potential pathogens at the site. In contrast, samples influenced by the long-distance air flow from Siberia and Outer Mongolia were found to have a highest richness and diversity as an average, which was also marked by the increase of dust-associated bacteria (Brevibacillus and Staphylococcus). The primary research may serve as an important reference for the environmental microbiologist, health workers, and city planners." @default.
- W2898971330 created "2018-11-09" @default.
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- W2898971330 date "2019-01-01" @default.
- W2898971330 modified "2023-09-30" @default.
- W2898971330 title "Profile of inhalable bacteria in PM2.5 at Mt. Tai, China: Abundance, community, and influence of air mass trajectories" @default.
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- W2898971330 cites W127352138 @default.
- W2898971330 cites W1436030511 @default.
- W2898971330 cites W1526391510 @default.
- W2898971330 cites W1592031864 @default.
- W2898971330 cites W1964435197 @default.
- W2898971330 cites W1967573010 @default.
- W2898971330 cites W1968414214 @default.
- W2898971330 cites W1979446932 @default.
- W2898971330 cites W1979626108 @default.
- W2898971330 cites W1982419522 @default.
- W2898971330 cites W1986752719 @default.
- W2898971330 cites W1987215470 @default.
- W2898971330 cites W1989064547 @default.
- W2898971330 cites W1989581293 @default.
- W2898971330 cites W1989798115 @default.
- W2898971330 cites W1994530356 @default.
- W2898971330 cites W1994624492 @default.
- W2898971330 cites W1999116537 @default.
- W2898971330 cites W2009220571 @default.
- W2898971330 cites W2019345411 @default.
- W2898971330 cites W2023510479 @default.
- W2898971330 cites W2024635334 @default.
- W2898971330 cites W2025645865 @default.
- W2898971330 cites W2036057895 @default.
- W2898971330 cites W2037590353 @default.
- W2898971330 cites W2050308407 @default.
- W2898971330 cites W2056697160 @default.
- W2898971330 cites W2065028082 @default.
- W2898971330 cites W2067764134 @default.
- W2898971330 cites W2069510113 @default.
- W2898971330 cites W2070532529 @default.
- W2898971330 cites W2071857217 @default.
- W2898971330 cites W2079738203 @default.
- W2898971330 cites W2082960501 @default.
- W2898971330 cites W2085140984 @default.
- W2898971330 cites W2092777910 @default.
- W2898971330 cites W2134714899 @default.
- W2898971330 cites W2135590124 @default.
- W2898971330 cites W2137857684 @default.
- W2898971330 cites W2139914330 @default.
- W2898971330 cites W2140247361 @default.
- W2898971330 cites W2143942947 @default.
- W2898971330 cites W2144455701 @default.
- W2898971330 cites W2151133928 @default.
- W2898971330 cites W2152460808 @default.
- W2898971330 cites W2155495207 @default.
- W2898971330 cites W2157603137 @default.
- W2898971330 cites W2159435953 @default.
- W2898971330 cites W2164250920 @default.
- W2898971330 cites W2164380558 @default.
- W2898971330 cites W2164956799 @default.
- W2898971330 cites W2170404450 @default.
- W2898971330 cites W2201770177 @default.
- W2898971330 cites W2294362895 @default.
- W2898971330 cites W2337035013 @default.
- W2898971330 cites W2489483659 @default.
- W2898971330 cites W2521527626 @default.
- W2898971330 cites W2537505653 @default.
- W2898971330 cites W2551680240 @default.
- W2898971330 cites W2553478712 @default.
- W2898971330 cites W2562108439 @default.
- W2898971330 cites W2565814116 @default.
- W2898971330 cites W2580806297 @default.
- W2898971330 cites W2601805370 @default.
- W2898971330 cites W2602295041 @default.
- W2898971330 cites W2610421199 @default.
- W2898971330 cites W2735347741 @default.
- W2898971330 cites W2766928464 @default.
- W2898971330 cites W2767447847 @default.
- W2898971330 cites W2768231427 @default.
- W2898971330 cites W2778346911 @default.
- W2898971330 cites W2783271528 @default.
- W2898971330 cites W2784772006 @default.
- W2898971330 cites W2790108692 @default.
- W2898971330 cites W2792168465 @default.
- W2898971330 cites W2806092108 @default.
- W2898971330 doi "https://doi.org/10.1016/j.ecoenv.2018.10.071" @default.
- W2898971330 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30384158" @default.
- W2898971330 hasPublicationYear "2019" @default.
- W2898971330 type Work @default.