探索空气中细菌和真菌群落的空间变异性:地中海中部五个地区的比较研究

Q2 Environmental Science
Mattia Fragola , Salvatore Romano , Dalila Peccarrisi , Leke Pepkolaj , Ivano Ammoscato , Roberta Claudia Calidonna , Luana Malacaria , Giorgia De Benedetto , Mark M. Scerri , Anastasios Kalimeris , Adamantia Kampioti , Lucio Maruccio , Pietro Alifano , Adelfia Talà , Gianluca Quarta , Lucio Calcagnile
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引用次数: 0

摘要

本研究调查了地中海中部5个不同地区(意大利南部的萨伦托半岛和拉梅齐亚泰尔梅、阿尔巴尼亚、马耳他和希腊的扎金索斯)空气中细菌和真菌群落的分布。采用先进的基于dna的方法和成分数据分析(CoDa)来探索不同类型采样点(城市、农村和沿海)的微生物群落组成及其空间变异性。分析结果表明,空气微生物群落格局明显,主要受地理和环境特征的影响。经鉴定的空气中细菌属中,鞘氨单胞菌在所有地点均有发现,Brevundimonas、嗜地皮肤菌和Rubrobacter在沿海和农村地区普遍存在。在空气传播真菌属中,农村和沿海地区以枝孢菌属和交替菌属丰富。基于艾奇逊距离的树形图和基于奇异值分解的主成分分析双图进一步突出了检测样本的地理特征和监测站点类型的聚类。这种统计方法可以证明一些特定的微生物属与选定采样区域相关的不同环境特征有关。因此,本研究指出了空间变异与微生物分布之间的复杂关系,强调环境和地理变化对微生物群落组成有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the spatial variability of airborne bacterial and fungal communities: A comparative study across five central Mediterranean areas
In this study the distribution of airborne bacterial and fungal communities was investigated in five different areas of the Central Mediterranean (Salento Peninsula and Lamezia Terme in South Italy, Albania, Malta, and Zakynthos in Greece). Advanced DNA-based approaches and compositional data analysis (CoDa) were used to explore microbial community compositions and their spatial variability associated with the different types of sampling site (urban, rural, and coastal). Analytical results revealed distinct patterns of the airborne microbial community mainly shaped by geographic and environmental features. Among the identified airborne bacterial genera, Sphingomonas was found in all the selected sites, while Brevundimonas, Geodermatophilus, and Rubrobacter were prevalent in coastal and rural locations. Among the airborne fungal genera, Cladosporium and Alternaria were abundant in rural and coastal areas. The clustering of detected samples by geographic characteristics and monitoring site type was further highlighted by the Aitchison distance-based dendrograms and principal component analysis biplots by utilizing singular value decomposition. This statistical approach allowed proving that some specific microbial genera were associated with different environmental characteristics related to the selected sampling areas. Therefore, this study points out the complex relationship between spatial variability and microbial distributions, underlining that environmental and geographic variations can significantly contribute to microbial community composition.
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来源期刊
Environmental Advances
Environmental Advances Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.30
自引率
0.00%
发文量
165
审稿时长
12 weeks
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