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

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An extended dose-response model for microbial responses to ionizing radiation. / Siasou, Eleni; Johnson, David; Willey, Neil J.
In: Frontiers in Environmental Science, Vol. 5, No. FEB, 03.02.2017.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Siasou, E, Johnson, D & Willey, NJ 2017, 'An extended dose-response model for microbial responses to ionizing radiation', Frontiers in Environmental Science, vol. 5, no. FEB. https://doi.org/10.3389/fenvs.2017.00006

APA

Vancouver

Siasou E, Johnson D, Willey NJ. An extended dose-response model for microbial responses to ionizing radiation. Frontiers in Environmental Science. 2017 Feb 3;5(FEB). doi: 10.3389/fenvs.2017.00006

Author

Siasou, Eleni ; Johnson, David ; Willey, Neil J. / An extended dose-response model for microbial responses to ionizing radiation. In: Frontiers in Environmental Science. 2017 ; Vol. 5, No. FEB.

Bibtex

@article{4d9b792a7dab4b658067d705926f7092,
title = "An extended dose-response model for microbial responses to ionizing radiation",
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.",
keywords = "Dose-response model, Ecosystem processes, Environmental toxicology, Ionizing radiation, Microorganisms",
author = "Eleni Siasou and David Johnson and Willey, {Neil J.}",
note = "M1 - 6",
year = "2017",
month = feb,
day = "3",
doi = "10.3389/fenvs.2017.00006",
language = "English",
volume = "5",
journal = "Frontiers in Environmental Science",
issn = "2296-665X",
publisher = "Frontiers Media S.A.",
number = "FEB",

}

RIS

TY - JOUR

T1 - An extended dose-response model for microbial responses to ionizing radiation

AU - Siasou, Eleni

AU - Johnson, David

AU - Willey, Neil J.

N1 - M1 - 6

PY - 2017/2/3

Y1 - 2017/2/3

N2 - 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.

AB - 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.

KW - Dose-response model

KW - Ecosystem processes

KW - Environmental toxicology

KW - Ionizing radiation

KW - Microorganisms

U2 - 10.3389/fenvs.2017.00006

DO - 10.3389/fenvs.2017.00006

M3 - Journal article

VL - 5

JO - Frontiers in Environmental Science

JF - Frontiers in Environmental Science

SN - 2296-665X

IS - FEB

ER -