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Grant: Discovery Grants Program - Individual

Dalhousie University

$51,000.00

Identifying transcriptomic indicators of growth rate and environmental stress in marine phytoplankton

EF 2022-23

Résumé
Marine phytoplankton are an extremely diverse group of organisms that perform about half the photosynthesis on Earth and play a key role in the carbon cycle. Climate warming is expected have dramatic effects on environmental conditions that influence both the productivity and taxonomic composition of marine phytoplankton communities. The diversity and complex evolutionary history of the phytoplankton presents challenges for modelers who seek to project changes to phytoplankton productivity and biogeography and subsequent impacts on biogeochemistry in response to climate warming. Thousands of plankton species are routinely grouped into a few functional types, that are distinguished by a small number of ecological and physiological traits that that are poorly constrained by data. Transcriptomics can be used to monitor gene expression of phytoplankton communities in situ and provide us with a much more mechanistic understanding of how and why different phytoplankton species and/or functional groups respond to changing environmental conditions. Here we propose to identify differentially expressed genes associated with growth rate and with acclimation to several environmental conditions under different time-scales from transient application of a new environmental condition to multi-generation acclimation, across several ecologically important marine phytoplankton taxa in controlled lab cultures. This work will allow us to identify universal transcriptomic signals associated with phytoplankton growth rate and acclimation to environmental conditions, and will provide the beginnings of a database that can be used to interpret the increasing number of marine phytoplankton metatranscriptomes taken from the field, and facilitate the identification of the genetic bases of key traits that define phytoplankton functional groups for next-generation biogeochemical models.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2022-02950
Name nom
Finkel, Zoe
Department département
Oceanography - Oceanography
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
51000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1506
Committee name en
Geosciences
Committee name fr
Géosciences
Area of application code
401
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Climate and atmosphere
Area of application fr
Climat et atmosphère
Research subject code
4600
Research subject group en
Oceanography
Research subject group fr
Océanographie
Research subject en
Oceanography
Research subject fr
Océanographie
Installment
inst:1
Partie
1
Nb partie
5
Application title
Identifying transcriptomic indicators of growth rate and environmental stress in marine phytoplankton
Application summary
Marine phytoplankton are an extremely diverse group of organisms that perform about half the photosynthesis on Earth and play a key role in the carbon cycle. Climate warming is expected have dramatic effects on environmental conditions that influence both the productivity and taxonomic composition of marine phytoplankton communities. The diversity and complex evolutionary history of the phytoplankton presents challenges for modelers who seek to project changes to phytoplankton productivity and biogeography and subsequent impacts on biogeochemistry in response to climate warming. Thousands of plankton species are routinely grouped into a few functional types, that are distinguished by a small number of ecological and physiological traits that that are poorly constrained by data. Transcriptomics can be used to monitor gene expression of phytoplankton communities in situ and provide us with a much more mechanistic understanding of how and why different phytoplankton species and/or functional groups respond to changing environmental conditions. Here we propose to identify differentially expressed genes associated with growth rate and with acclimation to several environmental conditions under different time-scales from transient application of a new environmental condition to multi-generation acclimation, across several ecologically important marine phytoplankton taxa in controlled lab cultures. This work will allow us to identify universal transcriptomic signals associated with phytoplankton growth rate and acclimation to environmental conditions, and will provide the beginnings of a database that can be used to interpret the increasing number of marine phytoplankton metatranscriptomes taken from the field, and facilitate the identification of the genetic bases of key traits that define phytoplankton functional groups for next-generation biogeochemical models.