Linking genomic and physiological characteristics of psychrophilic Arthrobacter to metagenomic data to explain global environmental distribution

• Published in: Microbiome
• Main Authors: Shen, Liang, Liu, Yongqin, Allen, Michelle A., Xu, Baiqing, Wang, Ninglian, Williams, Timothy J., Wang, Feng, Zhou, Yuguang, Liu, Qing, Cavicchioli, Ricardo
• Format: Text
• Language: English
• Published: BioMed Central 2021
• Subjects: Research; permafrost
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196931/; http://www.ncbi.nlm.nih.gov/pubmed/34118971; https://doi.org/10.1186/s40168-021-01084-z

BACKGROUND: Microorganisms drive critical global biogeochemical cycles and dominate the biomass in Earth’s expansive cold biosphere. Determining the genomic traits that enable psychrophiles to grow in cold environments informs about their physiology and adaptive responses. However, defining important genomic traits of psychrophiles has proven difficult, with the ability to extrapolate genomic knowledge to environmental relevance proving even more difficult. RESULTS: Here we examined the bacterial genus Arthrobacter and, assisted by genome sequences of new Tibetan Plateau isolates, defined a new clade, Group C, that represents isolates from polar and alpine environments. Group C had a superior ability to grow at −1°C and possessed genome G+C content, amino acid composition, predicted protein stability, and functional capacities (e.g., sulfur metabolism and mycothiol biosynthesis) that distinguished it from non-polar or alpine Group A Arthrobacter. Interrogation of nearly 1000 metagenomes identified an over-representation of Group C in Canadian permafrost communities from a simulated spring-thaw experiment, indicative of niche adaptation, and an under-representation of Group A in all polar and alpine samples, indicative of a general response to environmental temperature. CONCLUSION: The findings illustrate a capacity to define genomic markers of specific taxa that potentially have value for environmental monitoring of cold environments, including environmental change arising from anthropogenic impact. More broadly, the study illustrates the challenges involved in extrapolating from genomic and physiological data to an environmental setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01084-z.