Physicochemical Impacts on Bacterial Communities in Putrajaya Lake, Malaysia

IF 0.6 Q3 MULTIDISCIPLINARY SCIENCES
Nurul Najwa Farihah Mat Lazim, Afiqah Mohamed, Zana Ruhaizat Zana Rudin, Fatimah Md Yusoff, Ikhsan Natrah, Shahrizim Zulkifly
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引用次数: 0

Abstract

This study determines the associations between the bacterial communities and water physicochemical parameters in Putrajaya Lake and Putrajaya Wetlands Park, Malaysia. Bacterial communities were assessed by metagenomics of the 16S rRNA gene from lake water input, central wetlands, and primary lake area. Water samples (n=18) were collected during two different periods: post-high rainfall events (samples collected in May) and dry periods (July). The data revealed that bacterial communities of the three sites were taxonomically distinct and associated with different environmental parameters. However, no significant differences were found between the wet and dry periods. Alpha diversity analyses revealed the highest index in May 2018 in the constructed wetlands (H’= 5.397) than those from water input or primary lake (p<0.05). Overall, 49 phyla, 147 classes, 284 orders, 471 families, 778 genera and 62 species of bacteria were identified. Verrumicrobia and Firmicutes showed a strong positive correlation with ammonia-nitrogen (r = 0.709). Actinobacteria and Cyanobacteria had a moderate positive correlation with nitrate with r value (r = 0.673) and (r = 0.647), respectively. In this study, the metagenomics of the 16S rRNA gene amplicon by Illumina MiSeq has successfully identified the bacterial community assemblage in Putrajaya Lake and wetlands. Bacterial composition was associated with the availability of physicochemical properties of specific sites. The effectiveness of the engineered wetlands of Putrajaya in bioremediation was demonstrated by the marked decrease in certain nutrient concentrations from lake water input to the primary lake area.
马来西亚普特拉贾亚湖细菌群落的理化影响
本研究确定了马来西亚普特拉贾亚湖和普特拉贾亚湿地公园的细菌群落与水理化参数之间的关系。采用16S rRNA基因宏基因组学方法,对湖泊水源、中心湿地和主要湖区的细菌群落进行了评估。在两个不同时期采集水样(n=18):高降雨事件后(5月采集)和干旱期(7月)。结果表明,这三个地点的细菌群落在分类上是不同的,并且与不同的环境参数有关。然而,在干湿期之间没有发现显著差异。α多样性分析显示,人工湿地在2018年5月的指数最高(H′= 5.397),高于输水湿地和原生湖泊(p < 0.05)。共鉴定出细菌49门147纲284目471科778属62种。Verrumicrobia和Firmicutes与氨氮呈极显著正相关(r = 0.709)。放线菌和蓝藻与硝酸盐呈中等正相关,r值分别为(0.673)和(0.647)。本研究利用Illumina MiSeq对16S rRNA基因扩增子进行宏基因组分析,成功鉴定了普特拉贾亚湖和湿地的细菌群落组合。细菌组成与特定位点的物理化学性质的可用性有关。布特拉贾亚人工湿地在生物修复方面的有效性可以从输入到主要湖区的湖水中某些营养物质浓度的显著降低中得到证明。
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来源期刊
Pertanika Journal of Science and Technology
Pertanika Journal of Science and Technology MULTIDISCIPLINARY SCIENCES-
CiteScore
1.50
自引率
16.70%
发文量
178
期刊介绍: Pertanika Journal of Science and Technology aims to provide a forum for high quality research related to science and engineering research. Areas relevant to the scope of the journal include: bioinformatics, bioscience, biotechnology and bio-molecular sciences, chemistry, computer science, ecology, engineering, engineering design, environmental control and management, mathematics and statistics, medicine and health sciences, nanotechnology, physics, safety and emergency management, and related fields of study.
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