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人为因素对城市生态系统中PM10空气微生物群落和叶表PM100微生物群落多样性的影响

Impact of Anthropogenic Factors on the Diversity of Microbial Communities of PM10 Air and PM100 of L. Phylloplane in an Urban Ecosystem.

作者信息

Sazonova Olesya I, Ivanova Anastasia A, Vetrova Anna A, Zvonarev Anton N, Streletskii Rostislav A, Vasenev Viacheslav I, Myazin Vladimir A, Makhinya Ksenia I, Kozlova Ekaterina V, Korneykova Maria V

机构信息

Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", 142290 Pushchino, Russia.

Laboratory of Ecological Soil Science, Faculty of Soil Science, Lomonosov Moscow State University, 119991 Moscow, Russia.

出版信息

Biology (Basel). 2024 Nov 24;13(12):969. doi: 10.3390/biology13120969.

Abstract

Identifying the relationship between the microbiomes of urban dust particles from different biotopes is important because the state of microorganisms can be used to assess the quality of the environment. The aim of this work was to determine the distribution and interaction patterns of microorganisms of dust particles in the air and on leaf surfaces. Metabarcoding of bacterial and fungal communities, PAH, and metal content analyses and electron microscopy were used in this work. The results obtained allowed us to characterise the biological and chemical components of the dust particles. Some bacterial and fungal genera were correlated with benzanthracene, fluoranthene, and Cu, Ni, Co, Zn, and Mn contents. Bacterial communities were found to be more sensitive to all the pollutants studied. PM10 microbial communities circulated between biotopes and study areas due to air flows, as evidenced by the presence of similar ASVs in fungi and bacteria. The results could help to understand the effects of climate change and anthropogenic activities.

摘要

确定来自不同生物群落的城市灰尘颗粒微生物群之间的关系很重要,因为微生物的状态可用于评估环境质量。这项工作的目的是确定空气中和叶片表面灰尘颗粒微生物的分布和相互作用模式。本研究采用了细菌和真菌群落的代谢条形码分析、多环芳烃和金属含量分析以及电子显微镜技术。所得结果使我们能够描述灰尘颗粒的生物和化学成分。一些细菌和真菌属与苯并蒽、荧蒽以及铜、镍、钴、锌和锰的含量相关。研究发现细菌群落对所有研究的污染物更为敏感。由于气流的作用,PM10微生物群落在生物群落和研究区域之间循环,真菌和细菌中相似的扩增子序列变体(ASVs)的存在证明了这一点。这些结果有助于理解气候变化和人为活动的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcef/11673261/72118500f000/biology-13-00969-g001.jpg

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