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Grant: Collaborative Research and Development Grants

University of Waterloo

$184,000.00

Analysis of Nucleic Acids from Difficult Media: Method Optimization for Bentonite Clays and Rock Cores Associated with Deep Geological Repositories for Nuclear Waste

EF 2018-19

Résumé
Nuclear energy is an important component of carbon-free energy production in Canada. Although nuclear energy does not emit greenhouse gases, it does produce ""used nuclear fuel"", a hazardous waste that is highly radioactive and requires careful management to protect people and the environment. International consensus has determined that a deep geological repository is the safest and most effective means of managing used nuclear fuel. The Nuclear Waste Management Organization (NWMO) is siting and designing a deep geological repository for all of Canada's used nuclear fuel. The proposed NSERC CRD research will develop molecular and bioinformatic tools for characterization of microorganisms, and their encoded functions, in a deep geological repository to better predict and communicate how their metabolic activity may impact the geochemical environment in the long-term. The proposed research will involve benchmarking metagenomic and metatranscriptomic methods, and associated bioinformatic analyses, with the specific objectives of (1) comparing 16S rRNA gene functional predictions to metagenomic and metatranscriptomic data to identify best practices for analyzing large numbers of samples affordably and reliably for encoded microbial processes, and (2) developing software applications for metagenome analysis and genome to cell visualizations, ultimately for communicating the functional potential of subsurface microbial genomes more effectively and in an automated way. The insights developed in this research will provide NWMO with tools required to inform Canadian DGR design and site characterization by developing appropriate genomic methodologies. In addition, the methods developed to assess microbial communities in low biomass samples will further expand our understanding of the limits, capability, and survival of subsurface life on Earth. This proposal will also train HQP in expertise relevant to ongoing implementation and improvement of scientific knowledge to support and improve Canada's energy and environmental sectors.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
519889-2017
Name nom
Neufeld, Josh
Department département
Biology
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
184000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
302
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Nuclear energy
Area of application fr
Énergie nucléaire
Research subject code
5200
Research subject group en
Microbiology
Research subject group fr
Microbiologie
Research subject en
Microbiology
Research subject fr
Microbiologie
Partie
1
Nb partie
1
Application title
Analysis of Nucleic Acids from Difficult Media: Method Optimization for Bentonite Clays and Rock Cores Associated with Deep Geological Repositories for Nuclear Waste
Keyword
NSERC
Application summary
Nuclear energy is an important component of carbon-free energy production in Canada. Although nuclear energy does not emit greenhouse gases, it does produce ""used nuclear fuel"", a hazardous waste that is highly radioactive and requires careful management to protect people and the environment. International consensus has determined that a deep geological repository is the safest and most effective means of managing used nuclear fuel. The Nuclear Waste Management Organization (NWMO) is siting and designing a deep geological repository for all of Canada's used nuclear fuel. The proposed NSERC CRD research will develop molecular and bioinformatic tools for characterization of microorganisms, and their encoded functions, in a deep geological repository to better predict and communicate how their metabolic activity may impact the geochemical environment in the long-term. The proposed research will involve benchmarking metagenomic and metatranscriptomic methods, and associated bioinformatic analyses, with the specific objectives of (1) comparing 16S rRNA gene functional predictions to metagenomic and metatranscriptomic data to identify best practices for analyzing large numbers of samples affordably and reliably for encoded microbial processes, and (2) developing software applications for metagenome analysis and genome to cell visualizations, ultimately for communicating the functional potential of subsurface microbial genomes more effectively and in an automated way. The insights developed in this research will provide NWMO with tools required to inform Canadian DGR design and site characterization by developing appropriate genomic methodologies. In addition, the methods developed to assess microbial communities in low biomass samples will further expand our understanding of the limits, capability, and survival of subsurface life on Earth. This proposal will also train HQP in expertise relevant to ongoing implementation and improvement of scientific knowledge to support and improve Canada's energy and environmental sectors.