Abstract
The family Rhodobacteraceae consists of alphaproteobacteria that are metabolically, phenotypically, and ecologically diverse. It includes the roseobacter clade, an informal designation, representing one of the most abundant groups of marine bacteria. The rapid pace of discovery of novel roseobacters in the last three decades meant that the best practice for taxonomic classification, a polyphasic approach utilizing phenotypic, genotypic, and phylogenetic characteristics, was not always followed. Early efforts for classification relied heavily on 16S rRNA gene sequence similarity and resulted in numerous taxonomic inconsistencies, with several poly- and paraphyletic genera within this family. Next-generation sequencing technologies have allowed whole-genome sequences to be obtained for most type strains, making a revision of their taxonomy possible. In this study, we performed whole-genome phylogenetic and genotypic analyses combined with a meta-analysis of phenotypic data to review taxonomic classifications of 331 type strains (under 119 genera) within the Rhodobacteraceae family. Representatives of the roseobacter clade not only have different environmental adaptions from other Rhodobacteraceae isolates but were also found to be distinct based on genomic, phylogenetic, and in silico-predicted phenotypic data. As such, we propose to move this group of bacteria into a new family, Roseobacteraceae fam. nov. In total, reclassifications resulted to 327 species and 128 genera, suggesting that misidentification is more problematic at the genus than species level. By resolving taxonomic inconsistencies of type strains within this family, we have established a set of coherent criteria based on whole-genome-based analyses that will help guide future taxonomic efforts and prevent the propagation of errors.
Highlights
Taxonomy is the science of characterizing, naming, and classifying organisms based on shared traits meaningful to their ecology, physiology, and evolutionary history (Wayne et al, 1987)
We found that 56% of Roseobacteraceae fam. nov. is potentially capable of AHL-QS, which is considerably higher than the 4% of Rhodobacteraceae (Figure 7B, Supplementary Table 10, and Supplementary Figure 5)
Examining all phenotypic traits together, we found that isolation from a high salinity environment together with the simultaneous ability to perform DMSP cleavage, DMSP demethylation, and quorum sensing may be strong indicators of the organism belonging to Roseobacteraceae fam. nov
Summary
Taxonomy is the science of characterizing, naming, and classifying organisms based on shared traits meaningful to their ecology, physiology, and evolutionary history (Wayne et al, 1987). Even with the availability of many standardized high-throughput tests (Shea et al, 2012; Sneath, 2015), bacteria are rarely classified based on common phenotypes This is partly because bacteria are metabolically and phenotypically diverse and at times atypical phenotypic tests are required for species with specialized adaptive traits (Tindall et al, 2010). In examining broader taxonomic levels that deal with a large number of diverse and distantly related isolates, it is increasingly more difficult to identify universally present phenotypic traits. It is not uncommon for taxonomic descriptions to include traits that are only shared by some representatives (Wells et al, 1987; Garrity et al, 2015a; Orata et al, 2016). Results from in silico data can guide subsequent laboratory experiments, which will significantly reduce the time and cost of phenotypic characterizations as only a handful of phenotypic traits are required to be verified (Orata et al, 2016)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
