Microbial interactions and potential ecological implications in rain and snow: Novel insights from a semi-humid city in Northwest China

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2025-04-15 Epub Date: 2025-01-27 DOI:10.1016/j.atmosres.2025.107953
Gaoshan Zhang , Tantan Tan , Ke Lu , Yanpeng Li
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Abstract

Live microorganisms dispersed through rain and snow can significantly impact urban environments, ecology and agricultural safety. The understanding of microbial interactions and ecological roles in rain and snow still remains unclear. In this study, samples from total 58 rain and snow events were collected in Xi'an, China, followed by determining the concentration, activity, and community structure of microbes. Co-occurrence networks were used to reveal interactions between microorganisms, and the functional genes within bacterial and fungal communities were also predicted. Results suggested a global trend of decreasing microbial concentrations in rain or snow with increasing latitude, while Xi'an shows a moderate level in comparison. The seasonal pattern of microbial concentration was opposite to that of activity and was significantly influenced by meteorological events. The predominant bacterial phyla were Proteobacteria (64.01 %), Bacteroidota (14.87 %), Actinobacteriota (4.50 %), while the dominant fungal phyla were Ascomycota (48.16 %) and Basidiomycota (44.40 %) in rain and snow. At the genus level, the relative abundance of dominant microbes in rain and snow was significantly correlated with the concentration of water-soluble inorganic ions. Additionally, the microbial profiles in rain exhibited significant differences between conditions with and without dust influence. Co-occurrence networks of microbes were complex, with cooperative relationships predominating. Furthermore, functional genes analysis indicated that metabolic pathways dominated bacterial communities, while plant pathogens and parasites comprised 50 % of the fungi across all seasons. These results may not only enrich our understanding of microbial seasonal dynamics in rain and snow but also highlight critical pathways through which microorganisms potentially affect ecological resilience and agricultural productivity.

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微生物在雨雪中的相互作用及其潜在的生态意义:来自中国西北半湿润城市的新见解
通过雨雪传播的活微生物对城市环境、生态和农业安全具有重要影响。对雨雪中微生物相互作用和生态作用的理解仍不清楚。在本研究中,我们收集了中国西安共58次雨雪事件的样品,然后对微生物的浓度、活性和群落结构进行了测定。共现网络用于揭示微生物之间的相互作用,并预测细菌和真菌群落内的功能基因。结果表明,随着纬度的增加,全球雨雪中微生物浓度呈下降趋势,而西安市则处于中等水平。微生物浓度的季节分布与活动的季节分布相反,受气象事件的影响显著。雨雪环境中优势菌门为变形菌门(64.01%)、拟杆菌门(14.87%)、放线菌门(4.50%),优势真菌门为子囊菌门(48.16%)和担子菌门(44.40%)。在属水平上,雨雪中优势微生物的相对丰度与水溶性无机离子浓度呈显著相关。此外,在有和无粉尘影响的条件下,雨水中的微生物分布也表现出显著差异。微生物共生网络复杂,以合作关系为主。此外,功能基因分析表明,代谢途径主导了细菌群落,而植物病原体和寄生虫占所有季节真菌的50%。这些结果不仅丰富了我们对雨雪中微生物季节性动态的理解,而且突出了微生物可能影响生态恢复力和农业生产力的关键途径。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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