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Trophic state and geographic gradients influence planktonic cyanobacterial diversity and distribution in New Zealand lakes

Trophic state and geographic gradients influence planktonic cyanobacterial diversity and distribution in New Zealand lakes

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WOOD, Susanna A., Marcia Y. MAIER, Jonathan PUDDICK, Xavier POCHON, Anastasija ZAIKO, Daniel R. DIETRICH, David P. HAMILTON, 2017. Trophic state and geographic gradients influence planktonic cyanobacterial diversity and distribution in New Zealand lakes. In: FEMS Microbiology Ecology. 93(2), fiw234. ISSN 0168-6496. eISSN 1574-6941

@article{Wood2017-02Troph-38916, title={Trophic state and geographic gradients influence planktonic cyanobacterial diversity and distribution in New Zealand lakes}, year={2017}, doi={10.1093/femsec/fiw234}, number={2}, volume={93}, issn={0168-6496}, journal={FEMS Microbiology Ecology}, author={Wood, Susanna A. and Maier, Marcia Y. and Puddick, Jonathan and Pochon, Xavier and Zaiko, Anastasija and Dietrich, Daniel R. and Hamilton, David P.}, note={Article Number: fiw234} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/38916"> <dc:contributor>Puddick, Jonathan</dc:contributor> <dc:creator>Wood, Susanna A.</dc:creator> <dc:contributor>Maier, Marcia Y.</dc:contributor> <dcterms:title>Trophic state and geographic gradients influence planktonic cyanobacterial diversity and distribution in New Zealand lakes</dcterms:title> <dcterms:abstract xml:lang="eng">Cyanobacteria are commonly associated with eutrophic lakes, where they often form blooms and produce toxins. However, they are a ubiquitous component of phytoplankton in lakes of widely varying trophic status. We hypothesised that cyanobacterial diversity would vary among lakes of differing trophic status, but that the relative importance of geographical and hydromorphological characteristics driving these patterns would differ across trophic groups. DNA from 143 New Zealand lakes that spanned a range of geographic, hydromorphological and trophic gradients was analysed using automated rRNA intergenic spacer analysis and screened for genes involved in cyanotoxin production. Statistical analysis revealed significant delineation among cyanobacterial communities from different trophic classes. Multivariate regression indicated that geographical features (latitude, longitude and altitude) were significant in driving cyanobacterial community structure; however, partitioning of their effects varied among trophic categories. High-throughput sequencing was undertaken on selected samples to investigate their taxonomic composition. The most abundant and diverse (71 operational taxonomic units) taxon across all lake types was the picocyanobacteria genus Synechococcus Cyanotoxins (microcystins n = 23, anatoxins n = 1) were only detected in eutrophic lowland lakes. Collectively, these data infer that increasing eutrophication of lakes will have broad-scale impacts on planktonic cyanobacteria diversity and the prevalence of cyanotoxins.</dcterms:abstract> <dc:creator>Puddick, Jonathan</dc:creator> <dc:contributor>Pochon, Xavier</dc:contributor> <dc:creator>Hamilton, David P.</dc:creator> <dc:contributor>Zaiko, Anastasija</dc:contributor> <dc:contributor>Hamilton, David P.</dc:contributor> <dc:creator>Dietrich, Daniel R.</dc:creator> <dc:creator>Pochon, Xavier</dc:creator> <dc:creator>Zaiko, Anastasija</dc:creator> <dc:contributor>Dietrich, Daniel R.</dc:contributor> <dc:creator>Maier, Marcia Y.</dc:creator> <dcterms:issued>2017-02</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-16T12:30:46Z</dcterms:available> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38916"/> <dc:language>eng</dc:language> <dc:contributor>Wood, Susanna A.</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-16T12:30:46Z</dc:date> </rdf:Description> </rdf:RDF>

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