4.3 Article Data Paper

Capturing biodiversity: linking a cyanobacteria culture collection to the scratchpads virtual research environment enhances biodiversity knowledge

Journal

BIODIVERSITY DATA JOURNAL
Volume 4, Issue -, Pages -

Publisher

PENSOFT PUBLISHERS
DOI: 10.3897/BDJ.4.e7965

Keywords

cyanobacteria; database; Scratchpads; taxonomy; morphology; phylogeny; biodiversity informatics

Funding

  1. Aristotle University Research Committee Program Enhancing Young Investigators-Lecturers: CYaNobacteria diversity Assessment throUgh sTrain pHylogenetic analyses) [CYN-AUTH] [87903]

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Background Currently, cyanobacterial diversity is examined using a polyphasic approach by assessing morphological and molecular data (Komarek 2015). However, the comparison of morphological and genetic data is sometimes hindered by the lack of cultures of several cyanobacterial morphospecies and inadequate morphological data of sequenced strains (Rajaniemi et al. 2005). Furthermore, in order to evaluate the phenotypic plasticity within defined taxa, the variability observed in cultures has to be compared to the range in natural variation (Komarek and Mares 2012). Thus, new tools are needed to aggregate, link and process data in a meaningful way, in order to properly study and understand cyanodiversity. New information An online database on cyanobacteria has been created, namely the Cyanobacteria culture collection (CCC) (http://cyanobacteria.myspecies.info/) using as case studies cyanobacterial strains isolated from lakes of Greece, which are part of the AUTH culture collection (School of Biology, Aristotle University of Thessaloniki). The database hosts, for the first time, information and data such as morphology/morphometry, biogeography, phylogeny, microphotographs, distribution maps, toxicology and biochemical traits of the strains. All this data are structured managed, and presented online and are publicly accessible with a recently developed tool, namely Scratchpads, a taxon-centric virtual research environment allowing browsing the taxonomic classification and retrieving various kinds of relevant information for each taxon.

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