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Using genomics to understand and manage adaptation to climate
change in forest trees
Sally Aitken
Department of Forest and Conservation Sciences & Centre for Forest Conservation Genetics
Faculty of Forestry
University of British Columbia
Climate change is creating a mismatch between trees and
their environments
Insect and disease outbreaks
Some forests remain healthy
cold
warm
Tem
pe
ratu
re g
rad
ien
tPopulations are genetically adapted to historic climate
hot
warm
And mismatched with future climate
• Understand adaptation of tree populations to old and new climates
• Match germplasm with new climates
• Quantify risks from changes in climate averages and extremes
• Screen germplasm for climate-related biotic and abiotic risks
• Manage and conserve genetic diversity
Needs
California 12oC Oregon
11oC----British Columbia----
--------Alaska-------------
Local adaptation to climate: Growth of trees from different populations planted in a common
garden reflects provenance climate
10oC
8oC 7oC
5oC4oC
4oC3oC
Climate change is decoupling match between genetics and climate resulting in maladaptation
Sitka spruce planted in Vancouver
Using population genomics to select populations/seed sources for new climates
--------Alaska-----------------British Columbia-----
CaliforniaOregon
Assisted gene flow (AGF): Intentional translocation of individuals within a species range to facilitate adaptation to anticipated local conditions.
Aitken and Whitlock. 2013. Ann. Rev. Ecol. Evol. Syst.
Genetic variation provides some insurance against climatic uncertainty
Variation within a single Sitka spruce population from southern BC
Seed collected from many populations
Experiments planted in many locations
Field experiments traditionally used to understand adaptation to climate
Advantages of genomic approaches
Faster results than field trials
Can isolate effects of specific climatic factors
Can identify candidate genes, e.g., for susceptibility to specific climatic events, for screening breeding populations
Genomic selection for climate traits can be used for breeding within populations
Better matching natural populations with new climates can increase productivity substantially
LodgepolePineRange
2050s
PresentDay
Wang et al.2006
10 to 35% greater productivity
Phenotypic Data
Geospatial environmental data
Genomic data
POPULATION
GENOMICS
ECOLOGICAL
GENETICS
QUANTITATIVE
GENETICS
SPATIAL
ANALYSIS
Phenotype-Environment (PEA)
Use population genomic approaches to detect patterns of local adaptation
Sork et al. 2013. Tree Genetics and Genomes
Genomic approaches complement seedling tests of climate-related traits in
controlled environments• Heat, drought and cold tolerance
• Growth rates
• Timing of growth & dormancy
• Sample DNA to assess climate-related variation in genes
P. Smets, photos
Strongest signal of climatic adaptation in temperate and boreal tree species is to lowest
winter temperatures; little population variation for heat or drought stress response
Lodgepole pineCold injury 30-year extreme
minimum temp.
British Columbia
Alberta
Different species have similar patterns of adaptation to climate
Lodgepole pine Interior spruce
Liepe et al. 2016. Aitken and Bemmels. 2016. Evolutionary Applications
Genomic approaches in AdapTree
Sequence capture and resequencing: • ~25,000 genes• 4,500 non-coding regions• >250 populations/species• ~600 trees/species
• Pine: 10.9 million SNPs; 1.25 million after filters
• Spruce: 8.3 million SNPs; 1.1 million after filters
• Genetic-environment associations (GEA)
• Genotype-phenotype associations (GWAS)
• 50K SNP arrays
Lodgepole pine: Weak structure
Interior spruce: Strong structure (hybrid zone)
Detecting genomic signatures of adaptation requires adjusting for neutral population structure
due to history and demographics
AA
AG
GG
Identify genes and SNPs correlated with climatic variables
e.g., temperature, precipitation or elevation; no phenotypes required
131 genes, each row one gene with evidence of climate adaptation in spruce and pine
Temperature Precipitation
Frost
Genotype-environmentassociation
Comparative genomics identifies genes used by multiple species for climate adaptation
Yeaman et al. In prep.
Temperature Precipitation
FrostTraits
Genotype-environmentassociation
Genotype-traitassociation
Spruce and pine use many of the same genes to adapt to climate despite ~140MY of evolution
Yeaman et al. In prep.
131 genes, each row one gene with evidence of climate adaptation in spruce and pine
Use genomics or traditional common garden experiments to classify natural populations for climate adaptation
ForwardVelocity
ReverseVelocity
PresentDayto2050s
2050stoPresentDay
0 4 8+
km/year
0 4 8+
km/year
Hamannetal.2014.GlobalChangeBiol.
Use climate modeling to evaluate risks and needs
Genomics not the only technology for climate matching
Time to get moving
• Tree populations already lag well behind new climates in many places
• Genomic approaches can inform genetic choices for new climates more quickly than conventional field trials
• Need to recognize risk, climate uncertainty, local adaptation to non-climatic factors in strategy
• Genetic diversity should be used as a buffer against future climate uncertainty
• Scientific capacity is needed to translate knowledge to applications and to stakeholders
• FAO Symposium Organizers: ChittaranjanKole, John Ruane, Jarkko Koskela
• AdapTree team and collaborators: Sam Yeaman, Kay Hodgins, Katie Lotterhos, Loren Rieseberg, Michael Whitlock, Ian MacLachlan, Tongli Wang, Jon Degner, Andreas Hamann, Katharina Liepe, Laura Gray, Kristin Nurkowski, Jordan Bemmels
• AdapTree Scientific Advisory Board: Glenn Howe, Dominique Bachelet, Ed Buckler, Wolfgang Haider, Par Ingvarsson, OutiSavolainen
Acknowledgements