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Varga E, Weidman RP, Song Z, McKay RM. Environmental drivers of phytoplankton community dynamics in an agriculturally-influenced tributary in the lower Great Lakes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 939:173411. [PMID: 38796008 DOI: 10.1016/j.scitotenv.2024.173411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 05/06/2024] [Accepted: 05/19/2024] [Indexed: 05/28/2024]
Abstract
Phytoplankton community composition in tributaries differs from that in their receiving waters, due to light limitation from suspended particles and other factors such as nutrient availability and temperature. This study was designed to manipulate light levels in early, mid, and late summer to determine the combined effects of light attenuation and naturally varying nutrient availability on phytoplankton community composition in an agriculturally-influenced tributary of the lower Great Lakes. In all trials, in situ microcosm experiments show that phytoplankton abundance increased under three light attenuation treatments (60 %, 75 %, and 85 % attenuation) relative to time-zero, but higher light attenuation reduced total phytoplankton abundance relative to controls. Highest phytoplankton diversity in terms of richness and evenness occurred in September (late summer), and across all three trials was lowest under the highest light attenuation treatments (85 %). Phytoplankton community composition followed a normal seasonal shift from diatoms dominating in June (early summer), followed by cyanobacteria dominating in mid to late summer. In general, lower light levels (especially 85 % attenuation) corresponded with an increased dominance of cyanobacteria. These findings support the hypothesis that phytoplankton abundance and diversity vary with light and nutrient availability and that light attenuation promotes the shift from buoyant cyanobacteria to other taxa more tolerant of low light levels.
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Affiliation(s)
- Emily Varga
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9B 3P4, Canada.
| | - R Paul Weidman
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9B 3P4, Canada
| | - Zhuoyan Song
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9B 3P4, Canada
| | - R Michael McKay
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON N9B 3P4, Canada
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2
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Brown KM, Barker KB, Wagner RS, Ward CS, Sitoki L, Njiru J, Omondi R, Achiya J, Getabu A, McKay RM, Bullerjahn GS. Bacterial community and cyanotoxin gene distribution of the Winam Gulf, Lake Victoria, Kenya. ENVIRONMENTAL MICROBIOLOGY REPORTS 2024; 16:e13297. [PMID: 38885952 PMCID: PMC11182661 DOI: 10.1111/1758-2229.13297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 04/30/2024] [Indexed: 06/20/2024]
Abstract
The Winam Gulf (Kenya) is frequently impaired by cyanobacterial harmful algal blooms (cHABs) due to inadequate wastewater treatment and excess agricultural nutrient input. While phytoplankton in Lake Victoria have been characterized using morphological criteria, our aim is to identify potential toxin-producing cyanobacteria using molecular approaches. The Gulf was sampled over two successive summer seasons, and 16S and 18S ribosomal RNA gene sequencing was performed. Additionally, key genes involved in production of cyanotoxins were examined by quantitative PCR. Bacterial communities were spatially variable, forming distinct clusters in line with regions of the Gulf. Taxa associated with diazotrophy were dominant near Homa Bay. On the eastern side, samples exhibited elevated cyrA abundances, indicating genetic capability of cylindrospermopsin synthesis. Indeed, near the Nyando River mouth in 2022, cyrA exceeded 10 million copies L-1 where there were more than 6000 Cylindrospermopsis spp. cells mL-1. In contrast, the southwestern region had elevated mcyE gene (microcystin synthesis) detections near Homa Bay where Microcystis and Dolichospermum spp. were observed. These findings show that within a relatively small embayment, composition and toxin synthesis potential of cHABs can vary dramatically. This underscores the need for multifaceted management approaches and frequent cyanotoxin monitoring to reduce human health impacts.
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Affiliation(s)
- Katelyn M. Brown
- Biological SciencesBowling Green State UniversityBowling GreenOhioUSA
- Great Lakes Centers for Fresh Waters and Human HealthBowling GreenOhioUSA
| | - Katelyn B. Barker
- Biological SciencesBowling Green State UniversityBowling GreenOhioUSA
- Great Lakes Centers for Fresh Waters and Human HealthBowling GreenOhioUSA
| | - Ryan S. Wagner
- Biological SciencesBowling Green State UniversityBowling GreenOhioUSA
- Great Lakes Centers for Fresh Waters and Human HealthBowling GreenOhioUSA
| | - Christopher S. Ward
- Biological SciencesBowling Green State UniversityBowling GreenOhioUSA
- Great Lakes Centers for Fresh Waters and Human HealthBowling GreenOhioUSA
| | - Lewis Sitoki
- Department of Earth, Environmental Science and TechnologyTechnical University of KenyaNairobiKenya
| | - James Njiru
- Kenya Marine and Fisheries Research InstituteKisumuKenya
| | - Reuben Omondi
- Department of Fisheries and LimnologyKisii UniversityKisiiKenya
| | - James Achiya
- Kenya Marine and Fisheries Research InstituteKisumuKenya
| | - Albert Getabu
- Department of Fisheries and LimnologyKisii UniversityKisiiKenya
| | - R. Michael McKay
- Great Lakes Institute for Environmental ResearchUniversity of WindsorWindsorOntarioCanada
| | - George S. Bullerjahn
- Biological SciencesBowling Green State UniversityBowling GreenOhioUSA
- Great Lakes Centers for Fresh Waters and Human HealthBowling GreenOhioUSA
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Earnshaw CD, McMullin DR. Cyanopeptolins and Anabaenopeptins Are the Dominant Cyanopeptides from Planktothrix Strains Collected in Canadian Lakes. Toxins (Basel) 2024; 16:110. [PMID: 38393188 PMCID: PMC10891876 DOI: 10.3390/toxins16020110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/07/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Common bloom-forming cyanobacteria produce complex strain-specific mixtures of secondary metabolites. The beneficial and toxic properties of these metabolite mixtures have attracted both research and public health interest. The advancement of mass spectrometry-based platforms and metabolomics data processing has accelerated the identification of new metabolites and feature dereplication from microbial sources. The objective of this study was to use metabolomics data processing to decipher the intracellular cyanopeptide diversity of six Planktothrix strains collected from Canadian lakes. Data-dependent acquisition experiments were used to collect a non-targeted high-resolution mass spectrometry dataset. Principal component analysis and factor loadings were used to visualize cyanopeptide variation between strains and identified features contributing to the observed variation. GNPS molecular networking was subsequently used to show the diversity of cyanopeptides produced by the Planktothrix strains. Each strain produced a unique mixture of cyanopeptides, and a total of 225 cyanopeptides were detected. Planktothrix sp. CPCC 735 produced the most (n = 68) cyanopeptides, and P. rubescens CPCC 732 produced the fewest (n = 27). Microcystins and anabaenopeptins were detected from all strains. Cyanopeptolins, microviridins and aeruginosins were detected from five, four and two strains, respectively. Cyanopeptolin (n = 80) and anabaenopeptin (n = 61) diversity was the greatest, whereas microcystins (n = 21) were the least diverse. Interestingly, three of the P. rubescens strains had different cyanopeptide profiles, despite being collected from the same lake at the same time. This study highlights the diversity of cyanopeptides produced by Planktothrix and further hints at the underestimated cyanopeptide diversity from subpopulations of chemotypic cyanobacteria in freshwater lakes.
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Affiliation(s)
| | - David R. McMullin
- Department of Chemistry, Carleton University, Ottawa, ON K1S 5B6, Canada
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Yancey CE, Mathiesen O, Dick GJ. Transcriptionally active nitrogen fixation and biosynthesis of diverse secondary metabolites by Dolichospermum and Aphanizomenon-like Cyanobacteria in western Lake Erie Microcystis blooms. HARMFUL ALGAE 2023; 124:102408. [PMID: 37164563 DOI: 10.1016/j.hal.2023.102408] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 05/12/2023]
Abstract
Cyanobacterial harmful algal blooms (cyanoHABs) in the western basin of Lake Erie are dominated by microcystin producing Microcystis spp., but other cyanobacterial taxa that coexist in these communities may play important roles in production of toxins and shaping bloom dynamics and community function. In this study, we used metagenomic and metatranscriptomic data from the 2014 western Lake Erie cyanoHAB to explore the genetic diversity and biosynthetic potential of cyanobacteria belonging to the Anabaena, Dolichospermum, Aphanizomenon (ADA) clade. We reconstructed two near-complete metagenome-assembled genomes from two distinct ADA clade species, each containing biosynthetic gene clusters that encode novel and known secondary metabolites, including those with toxic and/or known taste and odor properties, that were transcriptionally active. However, neither ADA metagenome-assembled genome contained genes encoding guanitoxins, anatoxins, or saxitoxins, which are known to be produced by ADA. The ADA cyanobacteria accounted for most of the metagenomic and metatranscriptomic reads from nitrogen fixation genes, suggesting they were the dominant N-fixers at the times and stations sampled. Despite their relatively low abundance, our results highlight the possibility that ADA taxa could influence the water quality and ecology of Microcystis blooms, although the extent of these impacts remains to be quantified.
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Affiliation(s)
- Colleen E Yancey
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, 48109, USA
| | - Olivia Mathiesen
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, 48109, USA
| | - Gregory J Dick
- Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, 48109, USA; Cooperative Institute for Great Lakes Research (CIGLR), University of Michigan, 4840 South State Road, Ann Arbor, MI 48108 USA.
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Saleem F, Jiang JL, Atrache R, Paschos A, Edge TA, Schellhorn HE. Cyanobacterial Algal Bloom Monitoring: Molecular Methods and Technologies for Freshwater Ecosystems. Microorganisms 2023; 11:microorganisms11040851. [PMID: 37110273 PMCID: PMC10144707 DOI: 10.3390/microorganisms11040851] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Cyanobacteria (blue-green algae) can accumulate to form harmful algal blooms (HABs) on the surface of freshwater ecosystems under eutrophic conditions. Extensive HAB events can threaten local wildlife, public health, and the utilization of recreational waters. For the detection/quantification of cyanobacteria and cyanotoxins, both the United States Environmental Protection Agency (USEPA) and Health Canada increasingly indicate that molecular methods can be useful. However, each molecular detection method has specific advantages and limitations for monitoring HABs in recreational water ecosystems. Rapidly developing modern technologies, including satellite imaging, biosensors, and machine learning/artificial intelligence, can be integrated with standard/conventional methods to overcome the limitations associated with traditional cyanobacterial detection methodology. We examine advances in cyanobacterial cell lysis methodology and conventional/modern molecular detection methods, including imaging techniques, polymerase chain reaction (PCR)/DNA sequencing, enzyme-linked immunosorbent assays (ELISA), mass spectrometry, remote sensing, and machine learning/AI-based prediction models. This review focuses specifically on methodologies likely to be employed for recreational water ecosystems, especially in the Great Lakes region of North America.
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Crevecoeur S, Edge TA, Watson LC, Watson SB, Greer CW, Ciborowski JJH, Diep N, Dove A, Drouillard KG, Frenken T, McKay RM, Zastepa A, Comte J. Spatio-temporal connectivity of the aquatic microbiome associated with cyanobacterial blooms along a Great Lake riverine-lacustrine continuum. Front Microbiol 2023; 14:1073753. [PMID: 36846788 PMCID: PMC9947797 DOI: 10.3389/fmicb.2023.1073753] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/16/2023] [Indexed: 02/11/2023] Open
Abstract
Lake Erie is subject to recurring events of cyanobacterial harmful algal blooms (cHABs), but measures of nutrients and total phytoplankton biomass seem to be poor predictors of cHABs when taken individually. A more integrated approach at the watershed scale may improve our understanding of the conditions that lead to bloom formation, such as assessing the physico-chemical and biological factors that influence the lake microbial community, as well as identifying the linkages between Lake Erie and the surrounding watershed. Within the scope of the Government of Canada's Genomics Research and Development Initiative (GRDI) Ecobiomics project, we used high-throughput sequencing of the 16S rRNA gene to characterize the spatio-temporal variability of the aquatic microbiome in the Thames River-Lake St. Clair-Detroit River-Lake Erie aquatic corridor. We found that the aquatic microbiome was structured along the flow path and influenced mainly by higher nutrient concentrations in the Thames River, and higher temperature and pH downstream in Lake St. Clair and Lake Erie. The same dominant bacterial phyla were detected along the water continuum, changing only in relative abundance. At finer taxonomical level, however, there was a clear shift in the cyanobacterial community, with Planktothrix dominating in the Thames River and Microcystis and Synechococcus in Lake St. Clair and Lake Erie. Mantel correlations highlighted the importance of geographic distance in shaping the microbial community structure. The fact that a high proportion of microbial sequences found in the Western Basin of Lake Erie were also identified in the Thames River, indicated a high degree of connectivity and dispersal within the system, where mass effect induced by passive transport play an important role in microbial community assembly. Nevertheless, some cyanobacterial amplicon sequence variants (ASVs) related to Microcystis, representing less than 0.1% of relative abundance in the upstream Thames River, became dominant in Lake St. Clair and Erie, suggesting selection of those ASVs based on the lake conditions. Their extremely low relative abundances in the Thames suggest additional sources are likely to contribute to the rapid development of summer and fall blooms in the Western Basin of Lake Erie. Collectively, these results, which can be applied to other watersheds, improve our understanding of the factors influencing aquatic microbial community assembly and provide new perspectives on how to better understand the occurrence of cHABs in Lake Erie and elsewhere.
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Affiliation(s)
- Sophie Crevecoeur
- Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada,*Correspondence: Sophie Crevecoeur, ✉
| | - Thomas A. Edge
- Department of Biology, McMaster University, Hamilton, ON, Canada
| | - Linet Cynthia Watson
- Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada
| | - Susan B. Watson
- Department of Biology, Trent University, Peterborough, ON, Canada
| | - Charles W. Greer
- Energy, Mining and Environment, National Research Council of Canada, Montreal, QC, Canada
| | - Jan J. H. Ciborowski
- Department of Integrative Biology, University of Windsor, Windsor, ON, Canada,Department of Biological Sciences University of Calgary, Calgary, AB, Canada
| | - Ngan Diep
- Ontario Ministry of the Environment, Conservation and Parks, Environmental Monitoring and Reporting Branch, Etobicoke, ON, Canada
| | - Alice Dove
- Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada
| | - Kenneth G. Drouillard
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
| | - Thijs Frenken
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada,Cluster Nature & Society, HAS University of Applied Sciences, s-Hertogenbosch, Netherlands
| | - Robert Michael McKay
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada,Great Lakes Center for Fresh Waters and Human Health, Bowling Green State University, Bowling Green, OH, United States
| | - Arthur Zastepa
- Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Burlington, ON, Canada
| | - Jérôme Comte
- Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, Quebec City, QC, Canada,Groupe de Recherche Interuniversitaire en Limnologie et en Environnement Aquatique (GRIL), Université de Montréal, Montreal, QC, Canada
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7
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Chaffin JD, Bratton JF, Verhamme EM, Bair HB, Beecher AA, Binding CE, Birbeck JA, Bridgeman TB, Chang X, Crossman J, Currie WJS, Davis TW, Dick GJ, Drouillard KG, Errera RM, Frenken T, MacIsaac HJ, McClure A, McKay RM, Reitz LA, Domingo JWS, Stanislawczyk K, Stumpf RP, Swan ZD, Snyder BK, Westrick JA, Xue P, Yancey CE, Zastepa A, Zhou X. The Lake Erie HABs Grab: A binational collaboration to characterize the western basin cyanobacterial harmful algal blooms at an unprecedented high-resolution spatial scale. HARMFUL ALGAE 2021; 108:102080. [PMID: 34588116 PMCID: PMC8682807 DOI: 10.1016/j.hal.2021.102080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 05/12/2023]
Abstract
Monitoring of cyanobacterial bloom biomass in large lakes at high resolution is made possible by remote sensing. However, monitoring cyanobacterial toxins is only feasible with grab samples, which, with only sporadic sampling, results in uncertainties in the spatial distribution of toxins. To address this issue, we conducted two intensive "HABs Grabs" of microcystin (MC)-producing Microcystis blooms in the western basin of Lake Erie. These were one-day sampling events during August of 2018 and 2019 in which 100 and 172 grab samples were collected, respectively, within a six-hour window covering up to 2,270 km2 and analyzed using consistent methods to estimate the total mass of MC. The samples were analyzed for 57 parameters, including toxins, nutrients, chlorophyll, and genomics. There were an estimated 11,513 kg and 30,691 kg of MCs in the western basin during the 2018 and 2019 HABs Grabs, respectively. The bloom boundary poses substantial issues for spatial assessments because MC concentration varied by nearly two orders of magnitude over very short distances. The MC to chlorophyll ratio (MC:chl) varied by a factor up to 5.3 throughout the basin, which creates challenges for using MC:chl to predict MC concentrations. Many of the biomass metrics strongly correlated (r > 0.70) with each other except chlorophyll fluorescence and phycocyanin concentration. While MC and chlorophyll correlated well with total phosphorus and nitrogen concentrations, MC:chl correlated with dissolved inorganic nitrogen. More frequent MC data collection can overcome these issues, and models need to account for the MC:chl spatial heterogeneity when forecasting MCs.
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Affiliation(s)
- Justin D Chaffin
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA.
| | | | | | - Halli B Bair
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA
| | - Amber A Beecher
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Caren E Binding
- Environment and Climate Change Canada, Canada Centre for Inland Waters, 867 Lakeshore Road, Burlington, Ontario L7S1A1, Canada
| | - Johnna A Birbeck
- Lumigen Instrument Center, Wayne State University, 5101Cass Ave., Detroit, MI 48202, USA
| | - Thomas B Bridgeman
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Xuexiu Chang
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada; School of Ecology and Environmental Sciences, Yunnan University, Kunming 650091, PR China
| | - Jill Crossman
- School of the Environment, University of Windsor, 401 Sunset Avenue, Windsor, Ontario N9B 3P4, Canada
| | - Warren J S Currie
- Fisheries and Oceans Canada, Canada Centre for Inland Waters, 867 Lakeshore Rd., Burlington, Ontario L7S 1A1, Canada
| | - Timothy W Davis
- Biological Sciences, Bowling Green State University, Life Sciences Building, Bowling Green, OH 43402, United States
| | - Gregory J Dick
- Department of Earth and Environmental Sciences, University of Michigan, 2534 North University Building, 1100 North University Avenue, Ann Arbor, MI 48109-1005, USA
| | - Kenneth G Drouillard
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Reagan M Errera
- Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric Administration, Ann Arbor, MI 48108, USA
| | - Thijs Frenken
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Hugh J MacIsaac
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Andrew McClure
- Division of Water Treatment, City of Toledo, Toledo, OH 43605, USA
| | - R Michael McKay
- Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada
| | - Laura A Reitz
- Biological Sciences, Bowling Green State University, Life Sciences Building, Bowling Green, OH 43402, United States
| | | | - Keara Stanislawczyk
- F.T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave. P.O. Box 119, Put-In-Bay, OH 43456, USA
| | - Richard P Stumpf
- National Ocean Service, National Oceanic and Atmospheric Administration, 1305 East West Highway, Silver Spring, MD 20910, USA
| | - Zachary D Swan
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Brenda K Snyder
- Lake Erie Center, University of Toledo, 6200 Bayshore Rd., Oregon, OH 43616, USA
| | - Judy A Westrick
- Lumigen Instrument Center, Wayne State University, 5101Cass Ave., Detroit, MI 48202, USA
| | - Pengfei Xue
- Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
| | - Colleen E Yancey
- Department of Earth and Environmental Sciences, University of Michigan, 2534 North University Building, 1100 North University Avenue, Ann Arbor, MI 48109-1005, USA
| | - Arthur Zastepa
- Environment and Climate Change Canada, Canada Centre for Inland Waters, 867 Lakeshore Road, Burlington, Ontario L7S1A1, Canada
| | - Xing Zhou
- Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI 49931, USA
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Metagenome-Assembled Genome Sequences of Raphidiopsis raciborskii and Planktothrix agardhii from a Cyanobacterial Bloom in Kissena Lake, New York, USA. Microbiol Resour Announc 2021; 10:10/2/e01380-20. [PMID: 33446598 PMCID: PMC7849711 DOI: 10.1128/mra.01380-20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Raphidiopsis raciborskii and Planktothrix agardhii are filamentous, potentially toxin-producing cyanobacteria that form nuisance blooms in fresh waters. Here, we report high-quality metagenome-assembled genome sequences of R. raciborskii and P. agardhii collected from a bloom in Kissena Lake, New York. Raphidiopsis raciborskii and Planktothrix agardhii are filamentous, potentially toxin-producing cyanobacteria that form nuisance blooms in fresh waters. Here, we report high-quality metagenome-assembled genome sequences of R. raciborskii and P. agardhii collected from a bloom in Kissena Lake, New York.
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