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Targeted deep sequencing reveals high diversity and variable dominance of bloom-forming cyanobacteria in eutrophic lakes.
Harmful Algae. 2017 04; 64:42-50.HA

Abstract

Cyanobacterial blooms in eutrophic lakes are severe environmental problems worldwide. To characterize the spatiotemporal heterogeneity of cyanobacterial blooms, a high-throughput method is necessary for the specific detection of cyanobacteria. In this study, the cyanobacterial composition of three eutrophic waters in China (Taihu Lake, Dongqian Lake, and Dongzhen Reservoir) was determined by pyrosequencing the cpcBA intergenic spacer (cpcBA-IGS) of cyanobacteria. A total of 2585 OTUs were obtained from the normalized cpcBA-IGS sequence dataset at a distance of 0.05. The 238 most abundant OTUs contained 92% of the total sequences and were classified into six cyanobacterial groups. The water samples of Taihu Lake were dominated by Microcystis, mixed Nostocales species, Synechococcus, and unclassified cyanobacteria. Besides, all the samples from Taihu Lake were clustered together in the dendrogram based on shared abundant OTUs. The cyanobacterial diversity in Dongqian Lake was dramatically decreased after sediment dredging and Synechococcus became exclusively dominant in this lake. The genus Synechococcus was also dominant in the surface water of Dongzhen Reservoir, while phylogenetically diverse cyanobacteria coexisted at a depth of 10m in this reservoir. In summary, targeted deep sequencing based on cpcBA-IGS revealed a large diversity of bloom-forming cyanobacteria in eutrophic lakes and spatiotemporal changes in the composition of cyanobacterial communities. The genus Microcystis was the most abundant bloom-forming cyanobacteria in eutrophic lakes, while Synechococcus could be exclusively dominant under appropriate environmental conditions.

Authors+Show Affiliations

Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, PR China.Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, PR China.College of Life Sciences, Henan Normal University, Xinxiang 453007, PR China.Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, PR China.Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China. Electronic address: reli@ihb.ac.cn.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

28427571

Citation

Jiang, Yongguang, et al. "Targeted Deep Sequencing Reveals High Diversity and Variable Dominance of Bloom-forming Cyanobacteria in Eutrophic Lakes." Harmful Algae, vol. 64, 2017, pp. 42-50.
Jiang Y, Xiao P, Liu Y, et al. Targeted deep sequencing reveals high diversity and variable dominance of bloom-forming cyanobacteria in eutrophic lakes. Harmful Algae. 2017;64:42-50.
Jiang, Y., Xiao, P., Liu, Y., Wang, J., & Li, R. (2017). Targeted deep sequencing reveals high diversity and variable dominance of bloom-forming cyanobacteria in eutrophic lakes. Harmful Algae, 64, 42-50. https://doi.org/10.1016/j.hal.2017.03.006
Jiang Y, et al. Targeted Deep Sequencing Reveals High Diversity and Variable Dominance of Bloom-forming Cyanobacteria in Eutrophic Lakes. Harmful Algae. 2017;64:42-50. PubMed PMID: 28427571.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Targeted deep sequencing reveals high diversity and variable dominance of bloom-forming cyanobacteria in eutrophic lakes. AU - Jiang,Yongguang, AU - Xiao,Peng, AU - Liu,Yang, AU - Wang,Jiangxin, AU - Li,Renhui, Y1 - 2017/04/05/ PY - 2016/12/29/received PY - 2017/02/27/revised PY - 2017/03/06/accepted PY - 2017/4/22/entrez PY - 2017/4/22/pubmed PY - 2019/1/31/medline KW - Cyanobacterial bloom KW - Diversity KW - Eutrophication KW - Pyrosequencing KW - cpcBA-IGS SP - 42 EP - 50 JF - Harmful algae JO - Harmful Algae VL - 64 N2 - Cyanobacterial blooms in eutrophic lakes are severe environmental problems worldwide. To characterize the spatiotemporal heterogeneity of cyanobacterial blooms, a high-throughput method is necessary for the specific detection of cyanobacteria. In this study, the cyanobacterial composition of three eutrophic waters in China (Taihu Lake, Dongqian Lake, and Dongzhen Reservoir) was determined by pyrosequencing the cpcBA intergenic spacer (cpcBA-IGS) of cyanobacteria. A total of 2585 OTUs were obtained from the normalized cpcBA-IGS sequence dataset at a distance of 0.05. The 238 most abundant OTUs contained 92% of the total sequences and were classified into six cyanobacterial groups. The water samples of Taihu Lake were dominated by Microcystis, mixed Nostocales species, Synechococcus, and unclassified cyanobacteria. Besides, all the samples from Taihu Lake were clustered together in the dendrogram based on shared abundant OTUs. The cyanobacterial diversity in Dongqian Lake was dramatically decreased after sediment dredging and Synechococcus became exclusively dominant in this lake. The genus Synechococcus was also dominant in the surface water of Dongzhen Reservoir, while phylogenetically diverse cyanobacteria coexisted at a depth of 10m in this reservoir. In summary, targeted deep sequencing based on cpcBA-IGS revealed a large diversity of bloom-forming cyanobacteria in eutrophic lakes and spatiotemporal changes in the composition of cyanobacterial communities. The genus Microcystis was the most abundant bloom-forming cyanobacteria in eutrophic lakes, while Synechococcus could be exclusively dominant under appropriate environmental conditions. SN - 1878-1470 UR - https://www.unboundmedicine.com/medline/citation/28427571/Targeted_deep_sequencing_reveals_high_diversity_and_variable_dominance_of_bloom_forming_cyanobacteria_in_eutrophic_lakes_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1568-9883(16)30387-0 DB - PRIME DP - Unbound Medicine ER -