Cyclical patterns affect microbial dynamics in the water basin of a nuclear research reactor

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Cyclical patterns affect microbial dynamics in the water basin of a nuclear research reactor. / Van Eesbeeck, Valérie; Props, Ruben; Ahmed, Mohamed Mysara; Petit, Pauline; Rivasseau, Corinne; Armengaud, Jean; Monsieur, Pieter; Mahillon, Jacques; Leys, Natalie.

In: Frontiers in Microbiology, 15.10.2021, p. 1-11.

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Van Eesbeeck, Valérie ; Props, Ruben ; Ahmed, Mohamed Mysara ; Petit, Pauline ; Rivasseau, Corinne ; Armengaud, Jean ; Monsieur, Pieter ; Mahillon, Jacques ; Leys, Natalie. / Cyclical patterns affect microbial dynamics in the water basin of a nuclear research reactor. In: Frontiers in Microbiology. 2021 ; pp. 1-11.

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@article{1f77bb1541c749abaad3a114383d0d4f,
title = "Cyclical patterns affect microbial dynamics in the water basin of a nuclear research reactor",
abstract = "The BR2 nuclear research reactor in Mol, Belgium, runs in successive phases of operation (cycles) and shutdown, whereby a water basin surrounding the reactor vessel undergoes periodic changes in physico-chemical parameters such as flow rate, temperature, and radiation. The aim of this study was to explore the microbial community in this unique environment and to investigate its long-term dynamics using a 16S rRNA amplicon sequencing approach. Results from two sampling campaigns spanning several months showed a clear shift in community profiles: cycles were mostly dominated by two Operational Taxonomic Units (OTUs) assigned to unclassified Gammaproteobacterium and Pelomonas, whereas shutdowns were dominated by an OTU assigned to Methylobacterium. Although 1 year apart, both campaigns showed similar results, indicating that the system remained stable over this 2-year period. The community shifts were linked with changes in physico-chemical parameters by Nonmetric Multidimensional Scaling (NMDS) and correlation analyses. In addition, radiation was hypothesized to cause a decrease in cell number, whereas temperature had the opposite effect. Chemoautotrophic use of H2 and dead cell recycling are proposed to be used as a strategies for nutrient retrieval in this extremely oligotrophic environment.",
keywords = "Nuclear reactor, Ultrapure water, Ionizing radiation, 16S rRNA amplicon sequencing, Aquatic microbiome, Extreme environment",
author = "{Van Eesbeeck}, Val{\'e}rie and Ruben Props and Ahmed, {Mohamed Mysara} and Pauline Petit and Corinne Rivasseau and Jean Armengaud and Pieter Monsieur and Jacques Mahillon and Natalie Leys",
note = "Score=10",
year = "2021",
month = oct,
day = "15",
doi = "10.3389/fmicb.2021.744115",
language = "English",
pages = "1--11",
journal = "Frontiers in Microbiology",
issn = "1664-302X",
publisher = "Frontiers",

}

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TY - JOUR

T1 - Cyclical patterns affect microbial dynamics in the water basin of a nuclear research reactor

AU - Van Eesbeeck, Valérie

AU - Props, Ruben

AU - Ahmed, Mohamed Mysara

AU - Petit, Pauline

AU - Rivasseau, Corinne

AU - Armengaud, Jean

AU - Monsieur, Pieter

AU - Mahillon, Jacques

AU - Leys, Natalie

N1 - Score=10

PY - 2021/10/15

Y1 - 2021/10/15

N2 - The BR2 nuclear research reactor in Mol, Belgium, runs in successive phases of operation (cycles) and shutdown, whereby a water basin surrounding the reactor vessel undergoes periodic changes in physico-chemical parameters such as flow rate, temperature, and radiation. The aim of this study was to explore the microbial community in this unique environment and to investigate its long-term dynamics using a 16S rRNA amplicon sequencing approach. Results from two sampling campaigns spanning several months showed a clear shift in community profiles: cycles were mostly dominated by two Operational Taxonomic Units (OTUs) assigned to unclassified Gammaproteobacterium and Pelomonas, whereas shutdowns were dominated by an OTU assigned to Methylobacterium. Although 1 year apart, both campaigns showed similar results, indicating that the system remained stable over this 2-year period. The community shifts were linked with changes in physico-chemical parameters by Nonmetric Multidimensional Scaling (NMDS) and correlation analyses. In addition, radiation was hypothesized to cause a decrease in cell number, whereas temperature had the opposite effect. Chemoautotrophic use of H2 and dead cell recycling are proposed to be used as a strategies for nutrient retrieval in this extremely oligotrophic environment.

AB - The BR2 nuclear research reactor in Mol, Belgium, runs in successive phases of operation (cycles) and shutdown, whereby a water basin surrounding the reactor vessel undergoes periodic changes in physico-chemical parameters such as flow rate, temperature, and radiation. The aim of this study was to explore the microbial community in this unique environment and to investigate its long-term dynamics using a 16S rRNA amplicon sequencing approach. Results from two sampling campaigns spanning several months showed a clear shift in community profiles: cycles were mostly dominated by two Operational Taxonomic Units (OTUs) assigned to unclassified Gammaproteobacterium and Pelomonas, whereas shutdowns were dominated by an OTU assigned to Methylobacterium. Although 1 year apart, both campaigns showed similar results, indicating that the system remained stable over this 2-year period. The community shifts were linked with changes in physico-chemical parameters by Nonmetric Multidimensional Scaling (NMDS) and correlation analyses. In addition, radiation was hypothesized to cause a decrease in cell number, whereas temperature had the opposite effect. Chemoautotrophic use of H2 and dead cell recycling are proposed to be used as a strategies for nutrient retrieval in this extremely oligotrophic environment.

KW - Nuclear reactor

KW - Ultrapure water

KW - Ionizing radiation

KW - 16S rRNA amplicon sequencing

KW - Aquatic microbiome

KW - Extreme environment

UR - https://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objAction=download&objId=46896431

U2 - 10.3389/fmicb.2021.744115

DO - 10.3389/fmicb.2021.744115

M3 - Article

SP - 1

EP - 11

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

SN - 1664-302X

M1 - 744115

ER -

ID: 7321887