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

Liang ShenYongqin LiuMichelle A AllenBaiqing XuNinglian WangTimothy J WilliamsFeng WangYuguang ZhouQing LiuRicardo Cavicchioli
Published in: Microbiome (2021)
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. Video Abstract.
Keyphrases
  • human health
  • copy number
  • life cycle
  • big data
  • dna methylation
  • genome wide
  • microbial community
  • wastewater treatment
  • deep learning