文献类型： 外文期刊
作者： Zhang, Lei 1 ; Wang, Ziyin 1 ; Cai, Hua 1 ; Lu, Wenxuan 3 ; Li, Jing 3 ;
作者机构： 1.Chuzhou Univ, Sch Civil Engn & Architecture, Chuzhou 239000, Peoples R China
2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China
3.Anhui Acad Agr Sci, Fisheries Res Inst, Hefei 230036, Peoples R China
关键词： Agricultural pollution; Bacterial community; Illumina miseq sequencing; Co-occurrence patterns; Functional prediction
期刊名称：JOURNAL OF ENVIRONMENTAL SCIENCES （ 影响因子：5.565； 五年影响因子：5.066 ）
ISSN： 1001-0742
年卷期： 2021 年 99 卷
页码：
收录情况： SCI
摘要： The pollution caused by agricultural production poses a threat to the ecological integrity of river ecosystems, altering the structure and function of river ecosystems. Differences in microbial community structure provide useful information about the impact of agricultural pollution on the biological integrity of ecosystems, but generally convey little information regarding ecosystem functions. In this study, using Illumina MiSeq sequencing technology based on the 16S rRNA gene, river sediment samples associated with four different types of agricultural pollution were comprehensively analyzed. The results show that the total organic carbon (TOC) content was highest at the YZS site (animal husbandry sewage) among the assayed sites, but the species richness and uniformity were lowest at this site, which may have been caused by the high nutrient source of the sewage. Furthermore, in the three YZS samples affected by the long-term discharge of aquaculture tail-water, the unique genus Dechloromonas and the genus Candidatus-Competitor were observed, which are strongly correlated with phosphorus conversion. The formation of network modules may correspond to the coexistence of functional bacteria accustomed to multiple niche combinations under different agricultural pollution conditions in river sediments. According to the PICRUSt functional prediction, the bacterial community in the agricultural polluted river sediment primarily harbored 46 subfunctions, exhibiting richness of functions. Overall, our results provide a more comprehensive understanding of the structure and ecological processes associated with the aggregation of bacterial communities, which is beneficial for the management of river environments. (C) 2020 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
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