An extended dose-response model for microbial responses to ionizing radiation

Eleni Siasou, David Johnson, Neil J. Willey

    Research output: Contribution to journalArticlepeer-review

    Abstract

    An understanding of the environmental toxicology of ionizing radiation (IR) is needed because nuclear power production is expanding and there is increasing pressure to build nuclear waste repositories. The effects of IR in the environment have long been investigated but there have been fewer studies involving environmental microbiology than its importance to key ecosystems services demands. Here, we highlight some unique aspects of the relationship between microbes and IR and use them to suggest an extended dose-response model. At high doses, IR causes DNA damage and oxidative stress but some microbes have a remarkable capacity for DNA repair and are tolerant of oxidative stress. Not only is significant radioresistance increasingly being reported for microbes, but some microbes are even radiotrophic. The stressful radiative environment of the early Earth might help explain the existence of these traits, which challenge the assumptions of current dose response models for IR. We suggest that a perspective that takes into account these traits plus both dose and dose rate can be used to model an "effects landscape" that might provide insights for the environmental toxicology of IR to microbes. This might help to predict the effects of IR on key ecosystem processes and also be useful in understanding the environmental toxicology of IR in general.

    Original languageEnglish
    Article number6
    JournalFrontiers in Environmental Science
    Volume5
    Issue numberFEB
    DOIs
    Publication statusPublished - 3 Feb 2017

    Keywords

    • Dose-response model
    • Ecosystem processes
    • Environmental toxicology
    • Ionizing radiation
    • Microorganisms

    Fingerprint

    Dive into the research topics of 'An extended dose-response model for microbial responses to ionizing radiation'. Together they form a unique fingerprint.

    Cite this