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Spatial distribution of sediment archaeal community in Lake Taihu

ABSTRACT: spatial distribution of sediment archaeal community in Lake Taihu

PROVIDER: PRJEB10388 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR985483.fastq.gz	Fastqsanger.gz
	ERR985484.fastq.gz	Fastqsanger.gz
	ERR985485.fastq.gz	Fastqsanger.gz
	ERR985486.fastq.gz	Fastqsanger.gz
	ERR985487.fastq.gz	Fastqsanger.gz

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Vertical distribution of sediment archaeal community

Project description:the vertical distribution of sediment archaeal community in Zhushan Bay of Lake Taihu

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The Vertical Distribution of Sediment Archaeal Community in the "Black Bloom" Disturbing Zhushan Bay of Lake Taihu.

Project description:Using the Illumina sequencing technology, we investigated the vertical distribution of archaeal community in the sediment of Zhushan Bay of Lake Taihu, where the black bloom frequently occurred in summer. Overall, the Miscellaneous Crenarchaeotal Group (MCG), Deep Sea Hydrothermal Vent Group 6 (DHVEG-6), and Methanobacterium dominated the archaeal community. However, we observed significant difference in composition of archaeal community among different depths of the sediment. DHVEG-6 dominated in the surface layer (0-3 cm) sediment. Methanobacterium was the dominating archaeal taxa in the L2 (3-6 cm) and L3 (6-10) sediment. MCG was most abundant in the L4 (10-15 cm) and L5 (15-20 cm) sediment. Besides, DHVEG-6 was significantly affected by the concentration of total phosphorus (TP). And loss on ignition (LOI) was an important environmental factor for Methanobacterium. As the typical archaeal taxa in the surface layer sediment, DHVEG-6 and Methanobacterium might be more adapted to abundant substrate supply from cyanobacterial blooms and take active part in the biomass transformation. We propose that DHVEG-6 and Methanobacterium could be the key archaeal taxa correlated with the "black bloom" formation in Zhushan Bay.

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

Project description: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.

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Lake Taihu sediment

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