Targeted deep sequencing reveals high diversity and variable dominance of bloom-forming cyanobacteria in eutrophic lakes |
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| Institution: | 1. Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, PR China;2. College of Life Sciences, Henan Normal University, Xinxiang 453007, PR China;3. Key Laboratory of Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, PR China;1. Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all''Adige, TN, Italy;2. Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Firenze, Italy;3. Norwegian Institute for Water Research (NIVA), Gaustadalléen 21, 0349 Oslo, Norway;1. Laboratoire Biodiversité et Pollution des Écosystèmes, Faculté des Sciences de la Nature et de la Vie, Université Chadli Bendjedid d’El Taref, Algeria;2. UMR 1402 ECOSYS, INRA, AgroParisTech, Université Paris-Saclay, 78850, Thiverval-Grignon, France;3. Écologie, Systématique et Évolution, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91405, Orsay, France;1. Australian Rivers Institute, Griffith University, Nathan, Queensland 4111, Australia;2. School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia;3. Institute of Biophysics Carlos Chagas Filho – CCS, Federal University of Rio, Rio de Janeiro 21941-902, Brazil;4. School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia;1. College of Life Science, Henan Normal University, Xinxiang, Henan, 453007, China;2. Institute of Hydrobiology, The Chinese Academy of Sciences, Wuhan, 430072, China;3. Department of Environmental Science and Engineering, College of Geography Science, Nanjing Normal University, Nanjing, 210046, China;1. Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;2. INCT-INPeTAm/CNPq/MCT, Brazil |
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| 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 10 m 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. |
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| Keywords: | Cyanobacterial bloom Diversity Pyrosequencing Eutrophication |
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