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Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria

Anton Hördt, Marina García López, Jan P. Meier‐Kolthoff, Marcel Schleuning, Lisa-Maria Weinhold, Brian J. Tindall, Sabine Gronow, Nikos C. Kyrpides, Tanja Woyke, Markus Göker

2020Frontiers in Microbiology498 citationsDOIOpen Access PDF

Abstract

and outgroup type strains were used to infer phylogenetic trees from genome-scale data using the principles drawn from phylogenetic systematics. The majority of taxa were found to be monophyletic but several orders, families and genera, including taxa recognized as problematic long ago but also quite recent taxa, as well as a few species were shown to be in need of revision. According proposals are made for the recognition of new orders, families and genera, as well as the transfer of a variety of species to other genera and of a variety of genera to other families. In addition, emended descriptions are given for many species mainly involving information on DNA G+C content and (approximate) genome size, both of which are confirmed as valuable taxonomic markers. Similarly, analysis of the gene content was shown to provide valuable taxonomic insights in the class. Significant incongruities between 16S rRNA gene and whole genome trees were not found in the class. The incongruities that became obvious when comparing the results of the present study with existing classifications appeared to be caused mainly by insufficiently resolved 16S rRNA gene trees or incomplete taxon sampling. Another probable cause of misclassifications in the past is the partially low overall fit of phenotypic characters to the sequence-based tree. Even though a significant degree of phylogenetic conservation was detected in all characters investigated, the overall fit to the tree varied considerably.

Topics & Concepts

AlphaproteobacteriaBiologyBiological classificationStrain (injury)Type (biology)GenomeTaxonomic rankEvolutionary biologyComputational biologyGeneticsEcologyGene16S ribosomal RNATaxonAnatomyGenomics and Phylogenetic StudiesMicrobial Community Ecology and PhysiologyBacteriophages and microbial interactions
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