Grant: Discovery Grants Program - Individual
York University
$55,000.00
Bees: phylogeny, biogeography and taxonomy
EF 2020-21
Résumé
Bees are the most important pollinators in the world. Because of their high extinction risk, they also inform us about the state of the environment. Additionally, as species differ in habitat requirements (diet breadth, nest sites ties among species, 2) absence/poor quality of identification tools, and 3) ongoing changes to their classifications (which can be annual at the generic level, and far too frequent even at the family level). Classifications should be based upon phylogenies, but there are large discrepancies between results based upon morphological and genetic data.
Thus, our research objectives are to: 1) stabilize bee classification through a taxonomically dense total evidence phylogeny and use the results to 2) understand the geological/palaeoenvironmental /biogeographic events that led to current bee distributions and 3) develop and provide user-friendly identification tools.
1. Will involve use of our extensive collection which houses >35% of the world's bee species and >93% of the genera. Hundreds of morphological characteristics will be assessed, and we will generate hundreds to thousands of gene sequences from at least one member of each genus using recently developed methods that work even for minute pinned insects that were collected decades ago. It will provide a robust basis for a long-lasting classification.
2. The phylogeny resulting from objective 1 will be time calibrated permitting us to detect when particular geographic disjunctions originated. We will then be able to look for the geological or palaeoenvironmental events that coincide with the disjunctions. This work will be at the generic level for the bees of the world, species level for Chile.
3. Will involve augmenting the DNA barcode library for bees and generating image-driven, user-friendly identification guides for the bee genera of specific countries (eventually the whole world). These keys will be turned into freely available online apps that mimic computer games and will be culturally specific to the gaming style preferences in the target country/ies/
IMPACT. The global nature of our research attracts worldwide interest. The practical importance of generating user-friendly identification tools that can be cross-validated by morphology and DNA cannot be overstated. There is enormous need for this information throughout the world. The approaches we will develop should set the standard for identification procedures for any challenging group of organisms.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2020-06991
Name nom
Packer, Laurence
Department département
Biology
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
55000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
4700
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Evolution and ecology
Research subject fr
Évolution et écologie
Installment
inst:1-5
Partie
5
Nb partie
5
Application title
Bees: phylogeny, biogeography and taxonomy
Keyword
NSERC
Application summary
Bees are the most important pollinators in the world. Because of their high extinction risk, they also inform us about the state of the environment. Additionally, as species differ in habitat requirements (diet breadth, nest sites ties among species, 2) absence/poor quality of identification tools, and 3) ongoing changes to their classifications (which can be annual at the generic level, and far too frequent even at the family level). Classifications should be based upon phylogenies, but there are large discrepancies between results based upon morphological and genetic data.
Thus, our research objectives are to: 1) stabilize bee classification through a taxonomically dense total evidence phylogeny and use the results to 2) understand the geological/palaeoenvironmental /biogeographic events that led to current bee distributions and 3) develop and provide user-friendly identification tools.
1. Will involve use of our extensive collection which houses >35% of the world's bee species and >93% of the genera. Hundreds of morphological characteristics will be assessed, and we will generate hundreds to thousands of gene sequences from at least one member of each genus using recently developed methods that work even for minute pinned insects that were collected decades ago. It will provide a robust basis for a long-lasting classification.
2. The phylogeny resulting from objective 1 will be time calibrated permitting us to detect when particular geographic disjunctions originated. We will then be able to look for the geological or palaeoenvironmental events that coincide with the disjunctions. This work will be at the generic level for the bees of the world, species level for Chile.
3. Will involve augmenting the DNA barcode library for bees and generating image-driven, user-friendly identification guides for the bee genera of specific countries (eventually the whole world). These keys will be turned into freely available online apps that mimic computer games and will be culturally specific to the gaming style preferences in the target country/ies/
IMPACT. The global nature of our research attracts worldwide interest. The practical importance of generating user-friendly identification tools that can be cross-validated by morphology and DNA cannot be overstated. There is enormous need for this information throughout the world. The approaches we will develop should set the standard for identification procedures for any challenging group of organisms.