Coutinho F H, Dutilh B E, Thompson C C, Thompson F L
Instituto de Biologia (IB), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Centre for Molecular and Biomolecular Informatics (CMBI), Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands.
Arch Microbiol. 2016 Dec;198(10):973-986. doi: 10.1007/s00203-016-1256-y. Epub 2016 Jun 23.
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.
最近提出的拟共生球菌属(蓝细菌)的成员在全球海洋中极为丰富,并对全球初级生产力做出了重大贡献。然而,这些生物的分类学特征仍然很不完善。本研究的目的是基于一种整合了基因组、生理和生态数据的基因组分类学方法,为拟共生球菌提出一个新的分类框架。通过电子DNA-DNA杂交、平均氨基酸同一性、二核苷酸特征和系统发育重建,总共可以划分出15种拟共生球菌。然后根据它们的基因含量、光和养分利用策略、在海洋中的地理分布模式以及对环境参数的响应来描述每个物种。