Grant: Alliance Grants
University of Guelph
$184,873.00
Improving environmental effects biomonitoring in freshwater ecosystems: A comparison of morphology-based and DNA-based approaches
EF 2024-25
Résumé
Canada's natural resource sector is subject to stringent environmental regulations. The mining and pulp and paper industries are mandated to perform Environmental Effects Monitoring (EEM) to detect and measure changes in aquatic ecosystems. EEMs include a quantitative assessment of benthic (bottom-dwelling) invertebrate species between exposure (downstream of discharge) and reference areas (upstream or similar watershed). These organisms provide a sensitive living register of ecosystem health, and thus constitute a critical component of effective aquatic biomonitoring programs. For decades, EEMs have relied on traditional morphological identifications of benthic specimens, a highly labour intensive approach that requires taxonomic expertise now in dwindling supply. This causes serious bottlenecks in the execution of EEMs and can delay detection of negative environmental impacts.
DNA-based identification approaches (e.g., DNA-barcoding and environmental DNA metabarcoding) have enormous potential to transform EEM by accelerating accurate species identification and detection of environmental change. However, molecular methods require the creation of appropriate reference sequence libraries, methodological validation of standard operating procedures, HQP training and knowledge transfer tools before they can be fully adopted. This project will address said knowledge gaps and establish a standardized methodology to conduct molecular-based biomonitoring of benthic invertebrates. The project's overall objective is to validate the use of molecular methods and associated bioinformatic analyses as an alternative and cost-effective strategy for species identification that provides comparable (if not improved) results to traditional survey methods. This research will establish the consistency, reliability, and accuracy of results that will be critical to include DNA-based identification in EEM regulations and to overcome the general reluctance to risk basing decisions on new methods.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
597208-2024
Name nom
Hanner, Robert R
Department département
Integrative Biology
Organization id
24
Institution établissement
University of Guelph
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
184873
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
409
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environmental impact of economic activities (including agriculture)
Area of application fr
Effet des activités économiques sur l'environnement (y compris agriculture)
Research subject code
7000
Research subject group en
Other studies in natural sciences and engineering
Research subject group fr
Autres études en sciences naturelles et en génie
Research subject en
Other studies in natural sciences and engineering
Research subject fr
Autres études en sciences naturelles et en génie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Improving environmental effects biomonitoring in freshwater ecosystems: A comparison of morphology-based and DNA-based approaches
Keywords
aquatic biomonitoring; biodiversity; dna barcoding; edna; environmental effects monitoring; metabarcoding
Application summary
Canada's natural resource sector is subject to stringent environmental regulations. The mining and pulp and paper industries are mandated to perform Environmental Effects Monitoring (EEM) to detect and measure changes in aquatic ecosystems. EEMs include a quantitative assessment of benthic (bottom-dwelling) invertebrate species between exposure (downstream of discharge) and reference areas (upstream or similar watershed). These organisms provide a sensitive living register of ecosystem health, and thus constitute a critical component of effective aquatic biomonitoring programs. For decades, EEMs have relied on traditional morphological identifications of benthic specimens, a highly labour intensive approach that requires taxonomic expertise now in dwindling supply. This causes serious bottlenecks in the execution of EEMs and can delay detection of negative environmental impacts.
DNA-based identification approaches (e.g., DNA-barcoding and environmental DNA metabarcoding) have enormous potential to transform EEM by accelerating accurate species identification and detection of environmental change. However, molecular methods require the creation of appropriate reference sequence libraries, methodological validation of standard operating procedures, HQP training and knowledge transfer tools before they can be fully adopted. This project will address said knowledge gaps and establish a standardized methodology to conduct molecular-based biomonitoring of benthic invertebrates. The project's overall objective is to validate the use of molecular methods and associated bioinformatic analyses as an alternative and cost-effective strategy for species identification that provides comparable (if not improved) results to traditional survey methods. This research will establish the consistency, reliability, and accuracy of results that will be critical to include DNA-based identification in EEM regulations and to overcome the general reluctance to risk basing decisions on new methods.