Literature DB >> 24810741

Polyphasic identification of cyanobacterial isolates from Australia.

Elvina Lee1, Una M Ryan1, Paul Monis2, Glenn B McGregor3, Andrew Bath4, Cameron Gordon4, Andrea Paparini5.   

Abstract

Reliable identification of cyanobacterial isolates has significant socio-economic implications as many bloom-forming species affect the aesthetics and safety of drinking water, through the production of taste and odour compounds or toxic metabolites. The limitations of morphological identification have promoted the application of molecular tools, and encouraged the adoption of combined (polyphasic) approaches that include both microscopy- and DNA-based analyses. In this context, the rapid expansion of available sequence data is expected to allow increasingly reliable identification of cyanobacteria, and ultimately resolve current discrepancies between the two approaches. In the present study morphological and molecular characterisations of cyanobacterial isolates (n = 39), collected from various freshwater sites in Australia, were compared. Sequences were obtained for the small ribosomal subunit RNA gene (16S rDNA) (n = 36), the DNA-dependent RNA polymerase gene (rpoC1) (n = 22), and the phycocyanin operon, with its intergenic spacer region (cpcBA-IGS) (n = 19). Phylogenetic analyses identified three cyanobacterial orders: the Chroococcales (n = 8), Oscillatoriales (n = 6), and Nostocales (n = 25). Interestingly, multiple novel genotypes were identified, with 22% of the strains (17/77) having <95% similarity to available sequences in GenBank. Morphological and molecular data were in agreement at the species level for only 26% of the isolates obtained (10/39), while agreement at the genus level was obtained for 31% (12/39). Confident identification of the remaining 44% of the strains (17/39) beyond the order level was not possible. The present study demonstrates that, despite the taxonomic revisions, and advances in molecular-, and bioinformatics-tools, the lack of reliable morphological features, culture-induced pleomorphism, and proportion of misidentified or poorly described sequences in GenBank, still represent significant factors, impeding the confident identification of cyanobacteria species.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  16S rDNA; Cyanobacteria identification; Molecular phylogeny; Morphology; Phycocyanin operon; rpoC1

Mesh:

Substances:

Year:  2014        PMID: 24810741     DOI: 10.1016/j.watres.2014.04.023

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

Review 1.  Freshwater phytoplankton diversity: models, drivers and implications for ecosystem properties.

Authors:  Gábor Borics; András Abonyi; Nico Salmaso; Robert Ptacnik
Journal:  Hydrobiologia       Date:  2020-07-04       Impact factor: 2.694

2.  Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality.

Authors:  Elvina Lee; Maninder S Khurana; Andrew S Whiteley; Paul T Monis; Andrew Bath; Cameron Gordon; Una M Ryan; Andrea Paparini
Journal:  PLoS One       Date:  2017-01-24       Impact factor: 3.240

3.  Molecular Characterization of Twenty-Five Marine Cyanobacteria Isolated from Coastal Regions of Ireland.

Authors:  Katie Shiels; Norma Browne; Fiona Donovan; Patrick Murray; Sushanta Kumar Saha
Journal:  Biology (Basel)       Date:  2019-08-07

4.  Morphologic, Phylogenetic and Chemical Characterization of a Brackish Colonial Picocyanobacterium (Coelosphaeriaceae) with Bioactive Properties.

Authors:  Kerstin Häggqvist; Anna Toruńska-Sitarz; Agata Błaszczyk; Hanna Mazur-Marzec; Jussi Meriluoto
Journal:  Toxins (Basel)       Date:  2016-04-12       Impact factor: 4.546

  4 in total

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