Spatiotemporal Molecular Analysis of Cyanobacteria Blooms Reveals Microcystis-Aphanizomenon Interactions
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{"title"=>"Spatiotemporal Molecular Analysis of Cyanobacteria Blooms Reveals Microcystis-Aphanizomenon Interactions", "type"=>"journal", "authors"=>[{"first_name"=>"Todd R.", "last_name"=>"Miller", "scopus_author_id"=>"7403948718"}, {"first_name"=>"Lucas", "last_name"=>"Beversdorf", "scopus_author_id"=>"26532458400"}, {"first_name"=>"Sheena D.", "last_name"=>"Chaston", "scopus_author_id"=>"54408158400"}, {"first_name"=>"Katherine D.", "last_name"=>"McMahon", "scopus_author_id"=>"7006447025"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84884688350", "pmid"=>"732842", "sgr"=>"84884688350", "doi"=>"10.1371/journal.pone.0074933", "isbn"=>"732842", "issn"=>"19326203", "pui"=>"369903707"}, "id"=>"ee9cd5bd-5a32-3802-bdd2-55539329d511", "abstract"=>"<p>Spatial and temporal variability in cyanobacterial community composition (CCC) within and between eutrophic lakes is not well-described using culture independent molecular methods. We analyzed CCC across twelve locations in four eutrophic lakes and within-lake locations in the Yahara Watershed, WI, on a weekly basis, for 5 months. Taxa were discriminated by length of MspI-digested cpcB / A intergenic spacer gene sequences and identified by comparison to a PCR-based clone library. CCC across all stations was spatially segregated by depth of sampling locations (ANOSIM R = 0.23, p &lt; 0.001). Accordingly, CCC was correlated with thermal stratification, nitrate and soluble reactive phosphorus (SRP, R = 0.2-0.3). Spatial variability in CCC and temporal trends in taxa abundances were rarely correlative between sampling locations in the same lake indicating significant within lake spatiotemporal heterogeneity. Across all stations, a total of 37 bloom events were observed based on distinct increases in phycocyanin. Out of 97 taxa, a single Microcystis , and two different Aphanizomenon taxa were the dominant cyanobacteria detected during bloom events. The Microcystis and Aphanizomenon taxa rarely bloomed together and were significantly anti-correlated with each other at 9 of 12 stations with Pearson R values of -0.6 to -0.9 ( p &lt; 0.001). Of all environmental variables measured, nutrients, especially nitrate were significantly greater during periods of Aphanizomenon dominance while the nitrate+nitrite:SRP ratio was lower. This study shows significant spatial variability in CCC within and between lakes structured by depth of the sampling location. Furthermore, our study reveals specific genotypes involved in bloom formation. More in-depth characterization of these genotypes should lead to a better understanding of factors promoting bloom events in these lakes and more reliable bloom prediction models.</p>", "link"=>"http://www.mendeley.com/research/spatiotemporal-molecular-analysis-cyanobacteria-blooms-reveals-microcystisaphanizomenon-interactions", "reader_count"=>33, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>4, "Researcher"=>7, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>7, "Student > Bachelor"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>4, "Researcher"=>7, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>7, "Student > Bachelor"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>1, "Environmental Science"=>12, "Biochemistry, Genetics and Molecular Biology"=>2, "Agricultural and Biological Sciences"=>11, "Social Sciences"=>1, "Immunology and Microbiology"=>2, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>11}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>12}}, "reader_count_by_country"=>{"United States"=>2, "France"=>2, "Switzerland"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1218742"], "description"=>"<p>Three locations in each of four lakes were sampled on a weekly basis late May through October.</p>", "links"=>[], "tags"=>["locations", "lakes", "yahara"], "article_id"=>810284, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g001", "stats"=>{"downloads"=>0, "page_views"=>30, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sampling_locations_in_lakes_of_the_Yahara_Watershed_/810284", "title"=>"Sampling locations in lakes of the Yahara Watershed.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218756", "https://ndownloader.figshare.com/files/1218757", "https://ndownloader.figshare.com/files/1218758", "https://ndownloader.figshare.com/files/1218759", "https://ndownloader.figshare.com/files/1218760"], "description"=>"<div><p>Spatial and temporal variability in cyanobacterial community composition (CCC) within and between eutrophic lakes is not well-described using culture independent molecular methods. We analyzed CCC across twelve locations in four eutrophic lakes and within-lake locations in the Yahara Watershed, WI, on a weekly basis, for 5 months. Taxa were discriminated by length of MspI-digested <i>cpcB</i>/<i>A</i> intergenic spacer gene sequences and identified by comparison to a PCR-based clone library. CCC across all stations was spatially segregated by depth of sampling locations (ANOSIM R = 0.23, <i>p</i> < 0.001). Accordingly, CCC was correlated with thermal stratification, nitrate and soluble reactive phosphorus (SRP, R = 0.2-0.3). Spatial variability in CCC and temporal trends in taxa abundances were rarely correlative between sampling locations in the same lake indicating significant within lake spatiotemporal heterogeneity. Across all stations, a total of 37 bloom events were observed based on distinct increases in phycocyanin. Out of 97 taxa, a single <i>Microcystis</i>, and two different <i>Aphanizomenon</i> taxa were the dominant cyanobacteria detected during bloom events. The <i>Microcystis</i> and <i>Aphanizomenon</i> taxa rarely bloomed together and were significantly anti-correlated with each other at 9 of 12 stations with Pearson R values of -0.6 to -0.9 (<i>p</i> < 0.001). Of all environmental variables measured, nutrients, especially nitrate were significantly greater during periods of <i>Aphanizomenon</i> dominance while the nitrate+nitrite:SRP ratio was lower. This study shows significant spatial variability in CCC within and between lakes structured by depth of the sampling location. Furthermore, our study reveals specific genotypes involved in bloom formation. More in-depth characterization of these genotypes should lead to a better understanding of factors promoting bloom events in these lakes and more reliable bloom prediction models.</p> </div>", "links"=>[], "tags"=>["spatiotemporal", "molecular", "cyanobacteria", "blooms", "reveals", "interactions"], "article_id"=>810298, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0074933.s001", "https://dx.doi.org/10.1371/journal.pone.0074933.s002", "https://dx.doi.org/10.1371/journal.pone.0074933.s003", "https://dx.doi.org/10.1371/journal.pone.0074933.s004", "https://dx.doi.org/10.1371/journal.pone.0074933.s005"], "stats"=>{"downloads"=>8, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Spatiotemporal_Molecular_Analysis_of_Cyanobacteria_Blooms_Reveals_Microcystis_Aphanizomenon_Interactions/810298", "title"=>"Spatiotemporal Molecular Analysis of Cyanobacteria Blooms Reveals <i>Microcystis</i><i>-</i><i>Aphanizomenon</i> Interactions", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218751"], "description"=>"<p>Closed circles represent dates when a bloom was occurring. At the MEDH location an in- situ fluorometer attached to a monitoring buoy measured phycocyanin fluorescence once per minute (white line graph).</p>", "links"=>[], "tags"=>["phycocyanin", "compared", "abundance", "cyanobacterial", "taxa"], "article_id"=>810293, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g004", "stats"=>{"downloads"=>1, "page_views"=>76, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Trends_in_phycocyanin_concentration_line_graphs_and_water_temperature_by_depth_contour_maps_compared_to_relative_abundance_of_cyanobacterial_taxa_bottom_heat_maps_/810293", "title"=>"Trends in phycocyanin concentration (line graphs) and water temperature by depth (contour maps) compared to relative abundance of cyanobacterial taxa (bottom heat maps).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218745"], "description"=>"<p>Samples are coded by sampling site (A and C) or depth of the water column at each sampling site (B and D). Spatial variability in CCC is most strongly segregated between shallow (<3.7 m) and deep- water sites (> 10 m). Stratification (difference in water temperature from surface to lake bottom, ∆T) correlates best with spatial variability in CCC along the first axis.</p>", "links"=>[], "tags"=>["variability", "cyanobacterial", "correspondence", "samples", "constrained"], "article_id"=>810287, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g003", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spatial_variability_in_cyanobacterial_community_composition_based_on_correspondence_analysis_of_all_samples_n_197_constrained_A_and_B_or_not_constrained_C_and_D_by_environmental_variables_/810287", "title"=>"Spatial variability in cyanobacterial community composition based on correspondence analysis of all samples (n= 197), constrained (A and B) or not constrained (C and D) by environmental variables.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218744"], "description"=>"<p>Nine of the 94 unique PC-IGS terminal fragments (TRFs) detected among 197 sample could be matched by size to an <i>in </i><i>silico</i> MspI digestion of PC-IGS sequences previously retrieved from the same samples. These were the most abundant TRFs detected representing 87.1 ± 13.5% of the total peak heights in any given sample indicating that these are the most abundant taxa in our samples.</p>", "links"=>[], "tags"=>["cyanobacteria", "represented", "apisa"], "article_id"=>810286, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g002", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Identification_of_cyanobacteria_represented_by_APISA_OTU_8217_s_/810286", "title"=>"Identification of cyanobacteria represented by APISA OTU’s.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218753"], "description"=>"<p>The linear fit of the relationship at each of the nine sites is given by dotted lines.</p>", "links"=>[], "tags"=>["linear", "relationships", "abundance", "sampling"], "article_id"=>810295, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g005", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Significant_negative_linear_relationships_between_Microcystis_and_Aphanizomenon_relative_abundance_at_nine_of_twelve_sampling_sites_/810295", "title"=>"Significant negative linear relationships between <i>Microcystis</i> and <i>Aphanizomenon</i> relative abundance at nine of twelve sampling sites.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/1218754"], "description"=>"<p>All except N+N:SRP are significant differences (P<0.01).</p>", "links"=>[], "tags"=>["concentrations", "dissolved", "nutrients", "periods"], "article_id"=>810296, "categories"=>["Biological Sciences", "Ecology", "Earth and Environmental Sciences"], "users"=>["Todd R. Miller", "Lucas Beversdorf", "Sheena D. Chaston", "Katherine D. McMahon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0074933.g006", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Average_concentrations_of_dissolved_nutrients_during_periods_of_Aphanizomenon_and_Microcystis_abundance_/810296", "title"=>"Average concentrations of dissolved nutrients during periods of <i>Aphanizomenon</i> and <i>Microcystis</i> abundance.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-09-27 02:22:20"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
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  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Molecular biology", "average_usage"=>[272, 466, 589, 702, 806, 903, 995, 1086, 1176, 1258, 1347, 1422, 1493]}, {"subject_area"=>"/Earth sciences", "average_usage"=>[296, 488, 620, 717, 828, 938, 1038, 1130, 1230, 1328, 1414, 1502, 1592]}, {"subject_area"=>"/Earth sciences/Atmospheric science", "average_usage"=>[287, 443, 560, 684, 777, 894, 989, 1065, 1143, 1235, 1335, 1423, 1477]}, {"subject_area"=>"/Earth sciences/Hydrology", "average_usage"=>[253, 387, 495, 587, 670, 757, 847, 930, 1011, 1082, 1167, 1237, 1309]}, {"subject_area"=>"/Earth sciences/Marine and aquatic sciences", "average_usage"=>[299, 492, 619, 718, 826, 932, 1037, 1143, 1246, 1333, 1414, 1517, 1575]}, {"subject_area"=>"/Ecology and environmental sciences", "average_usage"=>[284, 475, 603, 722, 826, 928, 1026, 1129, 1225, 1310, 1390, 1468, 1549]}, {"subject_area"=>"/Ecology and environmental sciences/Ecological environments", "average_usage"=>[261, 401]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}, {"subject_area"=>"/Physical sciences/Chemistry", "average_usage"=>[247, 429, 544, 647, 747, 842, 929, 1012, 1099, 1179, 1263, 1339, 1409]}]}
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