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Pirkkanen J, Lalonde C, Lapointe M, Laframboise T, Mendonca MS, Boreham DR, Tharmalingam S, Thome C. The REPAIR Project, a Deep-Underground Radiobiology Experiment Investigating the Biological Effects of Natural Background Radiation: The First 6 Years. Radiat Res 2023; 199:290-293. [PMID: 36745561 DOI: 10.1667/rade-22-00193.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/17/2023] [Indexed: 02/07/2023]
Abstract
In 2017, a special edition of Radiation Research was published [Oct; Vol. 188 4.2 (https://bioone.org/journals/radiation-research/volume-188/issue-4.2)] which focused on a recently established radiobiology project within SNOLAB, a unique deep-underground research facility. This special edition included original articles, reviews and commentaries relevant to the research goals of this new project which was titled Researching the Effects of the Presence and Absence of Ionizing Radiation (REPAIR). These research goals were founded in understanding the biological effects of terrestrial and cosmic natural background radiation (NBR). Since 2017, REPAIR has evolved into a sub-NBR radiobiology research program which investigates these effects using multiple model systems and various biological endpoints. This paper summarizes the evolution of the REPAIR project over the first 6-years including its experimental scope and capabilities as well as research accomplishments.
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Affiliation(s)
- Jake Pirkkanen
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
| | - Christine Lalonde
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
| | - Michel Lapointe
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
| | - Taylor Laframboise
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
| | - Marc S Mendonca
- Department of Radiation Oncology, Radiation and Cancer Biology Laboratories, and Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202
| | - Douglas R Boreham
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada.,Medical Sciences Division, Northern Ontario School of Medicine (NOSM University), Sudbury, Ontario, P3E 2C6, Canada.,Nuclear Innovation Institute, Port Elgin, Ontario, N0H 2C0, Canada
| | - Sujeenthar Tharmalingam
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada.,Medical Sciences Division, Northern Ontario School of Medicine (NOSM University), Sudbury, Ontario, P3E 2C6, Canada.,Nuclear Innovation Institute, Port Elgin, Ontario, N0H 2C0, Canada
| | - Christopher Thome
- School of Natural Sciences, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada.,Medical Sciences Division, Northern Ontario School of Medicine (NOSM University), Sudbury, Ontario, P3E 2C6, Canada.,Nuclear Innovation Institute, Port Elgin, Ontario, N0H 2C0, Canada
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Graham CF, Boreham DR, Manzon RG, Stott W, Wilson JY, Somers CM. How "simple" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish. PLoS One 2020; 15:e0226608. [PMID: 31978053 PMCID: PMC6980518 DOI: 10.1371/journal.pone.0226608] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 12/01/2019] [Indexed: 12/30/2022] Open
Abstract
Reduced representation (RRL) sequencing approaches (e.g., RADSeq, genotyping by sequencing) require decisions about how much to invest in genome coverage and sequencing depth, as well as choices of values for adjustable bioinformatics parameters. To empirically explore the importance of these “simple” methodological decisions, we generated two independent sequencing libraries for the same 142 individual lake whitefish (Coregonus clupeaformis) using a nextRAD RRL approach: (1) a larger number of loci at low sequencing depth based on a 9mer (library A); and (2) fewer loci at higher sequencing depth based on a 10mer (library B). The fish were selected from populations with different levels of expected genetic subdivision. Each library was analyzed using the STACKS pipeline followed by three types of population structure assessment (FST, DAPC and ADMIXTURE) with iterative increases in the stringency of sequencing depth and missing data requirements, as well as more specific a priori population maps. Library B was always able to resolve strong population differentiation in all three types of assessment regardless of the selected parameters, largely due to retention of more loci in analyses. In contrast, library A produced more variable results; increasing the minimum sequencing depth threshold (-m) resulted in a reduced number of retained loci, and therefore lost resolution at high -m values for FST and ADMIXTURE, but not DAPC. When detecting fine population differentiation, the population map influenced the number of loci and missing data, which generated artefacts in all downstream analyses tested. Similarly, when examining fine scale population subdivision, library B was robust to changing parameters but library A lost resolution depending on the parameter set. We used library B to examine actual subdivision in our study populations. All three types of analysis found complete subdivision among populations in Lake Huron, ON and Dore Lake, SK, Canada using 10,640 SNP loci. Weak population subdivision was detected in Lake Huron with fish from sites in the north-west, Search Bay, North Point and Hammond Bay, showing slight differentiation. Overall, we show that apparently simple decisions about library construction and bioinformatics parameters can have important impacts on the interpretation of population subdivision. Although potentially more costly on a per-locus basis, early investment in striking a balance between the number of loci and sequencing effort is well worth the reduced genomic coverage for population genetics studies. More conservative stringency settings on STACKS parameters lead to a final dataset that was more consistent and robust when examining both weak and strong population differentiation. Overall, we recommend that researchers approach “simple” methodological decisions with caution, especially when working on non-model species for the first time.
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Affiliation(s)
- Carly F. Graham
- Department of Biology, University of Regina, Regina, Saskatchewan, Canada
| | - Douglas R. Boreham
- Medical Sciences, Northern Ontario School of Medicine, Greater Sudbury, Ontario, Canada
| | - Richard G. Manzon
- Department of Biology, University of Regina, Regina, Saskatchewan, Canada
| | - Wendylee Stott
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA
| | - Joanna Y. Wilson
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
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Parrott JL, Metcalfe CD. Assessing the effects of environmentally relevant concentrations of antidepressant mixtures to fathead minnows exposed over a full life cycle. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 648:1227-1236. [PMID: 30340268 DOI: 10.1016/j.scitotenv.2018.08.237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 08/16/2018] [Accepted: 08/18/2018] [Indexed: 06/08/2023]
Abstract
Antidepressant drugs have been detected in municipal wastewater effluents (MWWEs) at ng/L to low μg/L concentrations. We exposed fathead minnow (Pimephales promelas) over a full lifecycle to a mixture of five antidepressants at concentrations similar to a MWWE (1× AntiD Mix); venlafaxine at 2400 ng/L, citalopram at 240 ng/L, fluoxetine at 90 ng/L, sertraline at 20 ng/L, and bupropion at 90 ng/L, and 10× these concentrations (i.e. 10× AntiD Mix). Mean measured concentrations of venlafaxine, citalopram, fluoxetine, sertraline, and bupropion were 2300, 160, 110, 7 ng/L, and below detection limits, respectively, for the 1× AntiD Mix, and 33,000, 2900, 1000, 210, and 100 ng/L, respectively for the 10× AntiD Mix. During the life-cycle exposure, no significant changes were observed in survival of fathead minnows. When male fish from the exposed treatments reached maturity, their weights were increased compared to control males. There were no significant differences in condition factor, gonadosomatic index, or liver-somatic index in the exposed fish. Exposed fathead minnows produced similar numbers of eggs as control fish, and there were no changes in nest-defense behaviours of male minnows. Egg quality, % fertilization, and % hatching in F1 fry were unaffected by exposure to the antidepressants. Eggs hatched 0.5 d earlier, deformities in fry were 50% lower, and there were transient decreases in length of F1 larvae at 8 days post-hatch in offspring from the treatment with the 10× AntiD Mix. Overall, exposure to the antidepressant mixture at environmentally relevant concentrations (i.e. 1× AntiD Mix) caused no adverse effects in fathead minnows. Exposure to the 10× AntiD Mix increased the weight of adult male minnows and caused subtle effects in F1 offspring. This study is the first to assess sublethal effects in fish exposed to mixtures of antidepressants over a full lifecycle. CAPSULE: No effects were observed in fathead minnow exposed for a lifecycle to antidepressant mixtures at environmentally-relevant concentrations.
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Affiliation(s)
- Joanne L Parrott
- Water Science and Technology Directorate, Environment and Climate Change Canada, Burlington, ON L7S 1A1, Canada.
| | - Chris D Metcalfe
- Water Quality Centre, Trent University, Peterborough, ON K9J 7B8, Canada
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Lim MYT, Manzon RG, Somers CM, Boreham DR, Wilson JY. Impacts of temperature, morpholine, and chronic radiation on the embryonic development of round whitefish (Prosopium cylindraceum). ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:2593-2608. [PMID: 29963715 DOI: 10.1002/etc.4219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 05/10/2018] [Accepted: 06/28/2018] [Indexed: 06/08/2023]
Abstract
During incubation, round whitefish embryos may experience fluctuating or elevated temperatures from natural (e.g., seasonal temperature changes) and/or anthropogenic sources. Anthropogenic sources like once-through cooling discharges from nuclear power plants can also expose embryos to chemicals (e.g., morpholine) and/or radiation. To examine the effects of these potential stressors on embryogenesis, round whitefish were incubated under fluctuating or constant temperatures, with morpholine or 137 Cs gamma rays. We report the percentage of prehatch and posthatch mortality, developmental rate, hatch dynamics, and morphometrics at 4 development stages. Embryos reared at constant temperatures had delayed developmental stage onset and median hatch, higher mortality at constant 8 °C, and lower mortality at ≤5 °C, compared with embryos reared under seasonal temperature regimes. Embryos incubated with ≥500 mg L-1 morpholine (>200× regulatory limits) had advanced hatch, reduced body size, and increased prehatch (100% at 1000 mg L-1 ) and posthatch (≈95% at 500 mg L-1 ) mortality compared with controls. Relative to controls, embryos irradiated with ≥0.16 mGy/d had larger body mass early in development, and all irradiated embryos had decreased posthatch mortality; the lowest dose was >300× discharge limits. Our study suggests that fluctuating or elevated temperatures and high-dose morpholine can alter development rate, hatch dynamics, and growth, and/or increase mortality compared with embryos reared at constant temperatures of ≤5 °C; conversely, low-dose irradiation had transient developmental effects but may benefit early posthatch survival. Environ Toxicol Chem 2018;37:2593-2608. © 2018 SETAC.
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Affiliation(s)
- Michael Y-T Lim
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Richard G Manzon
- Department of Biology, University of Regina, Regina, Saskatchewan, Canada
| | | | | | - Joanna Y Wilson
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
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