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Arch Microbiol. 2016 Dec;198(10):973-986. Epub 2016 Jun 23.

Proposal of fifteen new species of Parasynechococcus based on genomic, physiological and ecological features.

Author information

1
Instituto de Biologia (IB), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
2
Centre for Molecular and Biomolecular Informatics (CMBI), Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands.
3
Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, The Netherlands.
4
Instituto de Biologia (IB), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. thompsoncristiane@gmail.com.
5
Instituto de Biologia (IB), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. fabianothompson1@gmail.com.
6
COPPE, SAGE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil. fabianothompson1@gmail.com.
7
CCS, IB, BIOMAR, Laboratório de Microbiologia, Cidade Universitária, Av. Carlos Chagas Filho. S/N, BLOCO A (Anexo) A3 - sl 102, Rio de Janeiro, RJ, 21941-599, Brazil. fabianothompson1@gmail.com.

Abstract

Members of the recently proposed genus Parasynechococcus (Cyanobacteria) are extremely abundant throughout the global ocean and contribute significantly to global primary productivity. However, the taxonomy of these organisms remains poorly characterized. The aim of this study was to propose a new taxonomic framework for Parasynechococcus based on a genomic taxonomy approach that incorporates genomic, physiological and ecological data. Through in silico DNA-DNA hybridization, average amino acid identity, dinucleotide signatures and phylogenetic reconstruction, a total of 15 species of Parasynechococcus could be delineated. Each species was then described on the basis of their gene content, light and nutrient utilization strategies, geographical distribution patterns throughout the oceans and response to environmental parameters.

KEYWORDS:

Cyanobacteria; Genomic taxonomy; Pan-genome; Parasynechococcus

PMID:
27339259
DOI:
10.1007/s00203-016-1256-y
[Indexed for MEDLINE]

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