k -mer Similarity, Networks of Microbial Genomes, and Taxonomic Rank

Author:

Bernard Guillaume1ORCID,Greenfield Paul2ORCID,Ragan Mark A.1ORCID,Chan Cheong Xin13ORCID

Affiliation:

1. Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia

2. Commonwealth Scientific and Industrial Research Organisation (CSIRO), North Ryde, NSW, Australia

3. School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia

Abstract

Genome evolution of microbes involves parent-to-offspring descent, and lateral genetic transfer that convolutes the phylogenomic signal. This study investigated phylogenomic signals among thousands of microbial genomes based on short subsequences without using multiple-sequence alignment. The signal from ribosomal RNAs is strong across all taxa, and the signal of plasmids is strong only in closely related groups, particularly Proteobacteria . However, the signal from other chromosomal regions (∼99% of the genomes) is remarkably restricted in breadth. The similarity of subsequences is found to correlate with taxonomic rank and informs on conserved and differential core functions relative to niche specialization and evolutionary diversification of microbes. These results provide a comprehensive, alignment-free view of microbial genome evolution as a network, beyond a tree-like structure.

Funder

James S. McDonnell Foundation

Department of Education and Training | Australian Research Council

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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