Spatiotemporal Analysis of the Water and Sediment Nile Microbial Community Along an Urban Metropolis
Spatiotemporal Analysis of the Water and Sediment Nile Microbial Community Along an Urban Metropolis
复制标题
城市沿线水和沉积物尼罗河微生物群落的时空分析
DOI：
10.1007/s00248-020-01674-8
复制
发表时间：
2021
影响因子：
3.6
通讯作者：
Yassin, Aymen S.
中科院分区：
文献类型：
--
作者：
Eraqi, Walaa A.;ElRakaiby, Marwa T.;Megahed, Salwa A.;Yousef, Noha H.;Elshahed, Mostafa S.;Yassin, Aymen S.
评估微生物的特性，多样性和社区结构可能是一个有价值的工具，监测外源性物质和人为投入的河流，特别是在城市和工业环境的影响。在这里，我们的特点尼罗河微生物群落在水和沉积物在夏季和冬季在五个地点，跨越其自然流动通过开罗大都会。分析了16 S rRNA基因数据集，以确定样品类型（沉积物与水），季节和位置在塑造群落中所起的作用，并预测尼罗河微生物组的功能潜力。微生物群落主要受采样类型（沉积物与水）的影响，而季节效应仅在水样中观察到。空间差异并没有代表一个显着的因素，在塑造社会在夏季或冬季。变形菌是最丰富的门在水和沉积物样品中，与目的Betaproteobacteriales是最丰富的。沉积物样品中也普遍存在绿球藻和拟杆菌，而水样中蓝藻和放线菌丰富。线性判别分析效应大小（LEfSe）确定蓝藻属Cyanobium PCC-6307是夏季和冬季水体之间的主要变量。代表人类和动物潜在病原体以及产毒素蓝细菌的序列在尼罗河微生物组中以低丰度被鉴定。功能预测的代谢途径预测抗生素生物合成的存在，以及在河流微生物组中的好氧异生物质降解途径。
Assessing microbial identity, diversity, and community structure could be a valuable tool for monitoring the impact of xenobiotics and anthropogenic inputs in rivers, especially in urban and industrial settings. Here, we characterize the Nile River microbial community in water and sediments in summer and winter at five locations that span its natural flow through the Cairo metropolis. 16S rRNA gene datasets were analyzed to identify the role played by sample type (sediment versus water), season, and location in shaping the community, as well as to predict functional potential of the Nile River microbiome. Microbial communities were mostly influenced by sampling type (sediments versus water), while seasonal effects were only observed in water samples. Spatial differences did not represent a significant factor in shaping the community in either summer or winter seasons. Proteobacteria was the most abundant phylum in both water and sediment samples, with the order Betaproteobacteriales being the abundant one. Chloroflexi and Bacteroidetes were also prevalent in sediment samples, while Cyanobacteria and Actinobacteria were abundant in water samples. The linear discriminative analysis effect size (LEfSe) identified the cyanobacterial genusCyanobium PCC-6307as the main variable between summer and winter water. Sequences representing human and animal potential pathogens, as well as toxin-producing Cyanobacteria, were identified in low abundance within the Nile microbiome. Functionally predicted metabolic pathways predicted the presence of antibiotic biosynthesis, as well as aerobic xenobiotic degradation pathways in the river microbiome.
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DOI：
10.1038/ismej.2012.8
发表时间：
2012-08
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
--
DOI：
10.12816/0010762
发表时间：
2013-01-01
影响因子：
0.3
作者：
Badr, El-Sayed A.;El-Sonbati, Mervat A.;Nassef, Hossam M.
通讯作者：
Nassef, Hossam M.
影响因子：
46.9
作者：
通讯作者：
--
新西兰坎特伯雷地区的水资源管理：可持续发展框架
DOI：
10.1007/978-94-024-1213-0
发表时间：
2018
期刊：
Water Management in New Zealand's Canterbury Region
影响因子：
--
作者：
Bryan Robert Jenkins
通讯作者：
Bryan Robert Jenkins
影响因子：
3.3
作者：
Eraqi, Walaa A.;ElRakaiby, Marwa T.;Yassin, Aymen S.
通讯作者：
Yassin, Aymen S.