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富营养化太湖浮游细菌和古菌群落组成的年度周期性

Annual periodicity in planktonic bacterial and archaeal community composition of eutrophic Lake Taihu.

作者信息

Li Junfeng, Zhang Junyi, Liu Liyang, Fan Yucai, Li Lianshuo, Yang Yunfeng, Lu Zuhong, Zhang Xuegong

机构信息

MOE Key Lab of Bioinformatics; Bioinformatics Division/Center for Synthetic and Systems Biology, TNLIST and Department of Automation, Tsinghua University, Beijing, China.

State Key Lab for Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.

出版信息

Sci Rep. 2015 Oct 27;5:15488. doi: 10.1038/srep15488.

DOI:10.1038/srep15488
PMID:26503553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4621408/
Abstract

Bacterioplankton plays a key role in nutrient cycling and is closely related to water eutrophication and algal bloom. We used high-throughput 16S rRNA gene sequencing to profile archaeal and bacterial community compositions in the surface water of Lake Taihu. It is one of the largest lakes in China and has suffered from recurring cyanobacterial bloom. A total of 81 water samples were collected from 9 different sites in 9 different months of 2012. We found that temporal variation of the microbial community was significantly greater than spatial variation (adonis, n = 9999, P < 1e-4). The composition of bacterial community in December was similar to that in January, and so was the archaeal community, suggesting potential annual periodicity. Unsupervised K-means clustering was used to identify the synchrony of abundance variations between different taxa. We found that the cluster consisting mostly of ACK-M1, C111 (members of acIV), Pelagibacteraceae (alfV-A) and Synechococcaceae showed relatively higher abundance in autumn. On the contrary, the cluster of Comamonadaceae and Methylophilaceae (members of lineage betI and betIV) had higher abundance in spring. The co-occurrence relationships between taxa were greatly altered during the cyanobacterial bloom according to our further network module analysis.

摘要

浮游细菌在营养物质循环中起着关键作用,并且与水体富营养化和藻华密切相关。我们使用高通量16S rRNA基因测序技术来分析太湖表层水中古菌和细菌群落的组成。太湖是中国最大的湖泊之一,一直遭受着蓝藻水华的反复侵扰。2012年,我们在9个不同的月份从9个不同的地点共采集了81份水样。我们发现微生物群落的时间变化显著大于空间变化(adonis检验,n = 9999,P < 1e-4)。12月细菌群落的组成与1月相似,古菌群落也是如此,这表明存在潜在的年度周期性。我们使用无监督K均值聚类来识别不同分类群之间丰度变化的同步性。我们发现,主要由ACK-M1、C111(acIV成员)、Pelagibacteraceae(alfV-A)和聚球藻科组成的聚类在秋季显示出相对较高的丰度。相反,丛毛单胞菌科和嗜甲基菌科(betI和betIV谱系成员)的聚类在春季丰度较高。根据我们进一步的网络模块分析,在蓝藻水华期间,分类群之间的共现关系发生了很大变化。

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