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

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2025-01-27 DOI:10.1016/j.atmosres.2025.107953
Gaoshan Zhang , Tantan Tan , Ke Lu , Yanpeng Li
{"title":"Microbial interactions and potential ecological implications in rain and snow: Novel insights from a semi-humid city in Northwest China","authors":"Gaoshan Zhang ,&nbsp;Tantan Tan ,&nbsp;Ke Lu ,&nbsp;Yanpeng Li","doi":"10.1016/j.atmosres.2025.107953","DOIUrl":null,"url":null,"abstract":"<div><div>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 <em>Proteobacteria</em> (64.01 %), <em>Bacteroidota</em> (14.87 %), <em>Actinobacteriota</em> (4.50 %), while the dominant fungal phyla were <em>Ascomycota</em> (48.16 %) and <em>Basidiomycota</em> (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.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"316 ","pages":"Article 107953"},"PeriodicalIF":4.5000,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169809525000456","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Topographic effects on nitrogen deposition and critical load exceedance in the Sichuan Basin, China Investigating the causes of cloud diurnal variation biases in global climate models using the TaiESM1 Causality of compound extreme heat-precipitation events in Northeastern China Editorial Board Inhomogeneity of the seasonal distribution of tropical cyclogenesis over the western North Pacific associated with the out-of-phase change in genesis frequency between summer and autumn
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1