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bioRxiv · 10.1101/603225

Comparative genomic analysis reveals a monophyletic cold adapted Arthrobacter cluster from polar and alpine regions

Abstract

Decrease in the frequency of arginine and increase in lysine are the trends that have been identified in the genomes of cold adapted bacteria. However, some cold adapted taxa show only limited or no detectable changes in the frequencies of amino acid composition. Here, we examined Arthrobacter spp. genomes from a wide range of environments on whether the genomic adaptations can be conclusively identified across genomes of taxa from polar and alpine regions. Phylogenetic analysis with a concatenated alignment of 119 orthologous proteins revealed a monophyletic clustering of seven polar and alpine isolated strains. Significant changes in amino acid composition related to cold adaptation were exclusive to seven of the twenty-nine strains from polar and alpine regions. Analysis of significant indicator genes and cold shock genes also revealed that clear differences could only be detected in the same seven strains. These unique characteristics may result from a vast exchange of genome content at the node leading to the monophyletic cold adapted Arthrobacter cluster predicted by the birth-and-death model. We then experimentally validated that strains with significant changes in amino acid composition have a better capacity to grow at low temperature than the mesophilic strains.\n\nImportanceAcquisition of novel traits through horizontal gene transfer at the early divergence of the monophyletic cluster may accelerate their adaptation to low temperature. Our study reached a clear relationship between adaptation to cold and genomic features and would advanced in understanding the ambiguous results produced by the previous studies on genomic adaption to cold temperature.

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Shen, L., Liu, Y., Xu, B., Wang, N., Anslan, S., Ren, P., Liu, F., Zhou, Y., Liu, Q.. 2019-04-09. Comparative genomic analysis reveals a monophyletic cold adapted Arthrobacter cluster from polar and alpine regions. https://doi.org/10.1101/603225

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