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Ecogeographical approaches to characterize CWR adap�ve traits useful
for crop adapta�on
José M. Iriondo1, Mauricio Parra2, M. Luisa Rubio1, Elena Torres3, Rosa García4 1 Depto. Biología y Geología, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain,
2 FAO. Division on the Intern. Treaty on Plant Gene�c Resources for Food and Agriculture. Rome, Italy 3 Depto. Biología Vegetal, Universidad Politécnica, Madrid, Spain
4 Centro de Recursos Fitogene�cos (CRF), INIA, Alcalá de Henares, Madrid, Spain.
Pre-‐breeding – fishing in the gene pool, EUCARPIA Gene�c Resources sec�on mee�ng. June 10-‐13 2013, Alnarp, Sweden
European Commission, 2007, ECCP
Crop adapta�on and climate change
Environmental change
Addi�ve gene�c varia�on
Adap�ve evolu�on
Wild plants: – Migra�on – Adap�ve evolu�on
Moving phenotypic op�ma and adap�ve evolu�on
Moving phenotypic op�ma and adap�ve evolu�on
Gomulkiewicz & Holt (1995)
Wild plants: – Adap�ve evolu�on
Moving phenotypic op�ma and adap�ve evolu�on
Gomulkiewicz & Holt (1995)
Crops: – Ar�ficial selec�on – Addi�ve gene�c varia�on: (CWR)
Need to op�mize search for CWR germplasm accessions and
popula�ons
The most representa�ve collec�on with the least accessions Popula�on/accessions most likely to have the gene�c addi�ve variance for the desired traits
Ecogeographical approach
G E GxE Trait
Parra-‐Quijano, M., Iriondo, J.M. y Torres, M.E. A review of applica�ons of ecogeography and geographic informa�on systems in plant gene�c resources. Spanish Journal of Agricultural Research (2012) 10:419-‐429.
Ecogeographical approach
Adap�ve gene�c diversity is modulated by natural selec�on Limi�ng environmental condi�ons shape adap�ve traits
Gene�c flux Muta�on Dri�
Epistasis Dominance
Genotype x Environment Environment
Natural Selec�on
Addi�ve gene�c variance
Genotype
Trait
Ecogeographical approach
Gene�c flux Muta�on Dri�
Epistasis Dominance
Genotype x Environment Environment
Natural Selec�on
Addi�ve gene�c variance
Genotype
Trait Adap�ve gene�c diversity is modulated by natural selec�on Limi�ng environmental condi�ons shape adap�ve traits
Temperature, rainfall, bioclima�c indices, etc.
Slope, orienta�on, eleva�on, la�tude/longitude, etc.
Soil type, pH, salinity, organic C, soil texture etc.
Environmental factors that characterize the adap�ve landscape
… over 100 variables available from different sources (WorldClim, FAO, NOAA, etc.)
Ecogeographical approach
Ecogeographical Land Characteriza�on Maps
Genera�on of ecogeographical categories in a territory
Ecogeographical Land Characteriza�on Maps
To combine clima�c, edaphic and geographic data to enable the predic�on of pa�erns of adap�ve gene�c varia�on according to geographic origin (Peeters et al., 1990)
Parra-‐Quijano, M., Iriondo, J.M., Torres, E. Ecogeographical land characteriza�on maps as a tool for assessing plant adapta�on and their implica�ons in agrobiodiversity studies. Gene�c Resources and Crop Evolu�on (2012) 59: 205-‐217
To obtain a complete ecogeographical characteriza�on of each germplasm accession
Over 100 ecogeographical variables associated to each accession with quality georeferencing data.
Ecogeographical Characteriza�on of Germplasm Collec�ons
Ecogeographical Core Collec�ons Ecogeographic core collec�ons provide good representa�on of the gene�c diversity of the original collec�on. Valida�on of ecogeographic core collec�ons using phenotypic data
Ecogeographical Core Collec�on
P
E
Phenotypic Core Collec�on REPRESENTATIVENESS
ü Phaseolus vulgaris seed collection
ü 15 morphological variables
ü Ecogeographical Core Colections compared to Phenotypic Core Collections and phenotypically assessed
Ecogeographical Core Collec�ons
Phaseolus vulgaris Core Collec�ons
Ecogeographical Core Collec�ons
UPGMA-D Coverage WM-P Coverage CEM-P Coverage
Phaseolus vulgaris Core Collec�ons
Ecogeographical Core Collec�ons
This was assesed with landraces. Be�er results expected with CWRs.
Iden�fica�on of geographic gaps
Op�mized collec�on of CWR germplasm
No characteriza�on of CWR gene�c diversity. Efficient representa�on of adap�ve gene�c diversity in CWRs Most representa�ve collec�on with the fewest accessions Ecogeographical representa�vity to adequately represent gene�c diversity useful to breeders
Identification of ecogeographic gaps
Low – null representa�on
Op�mized collec�on of CWR germplasm
Predic�ve distribu�on map for Lupinus species
Ecogeographic gaps in high species richness areas
Op�mized collec�on of CWR germplasm
Parra-‐Quijano, M., Iriondo, J.M., Torres, E. Improving representa�veness of genebank collec�ons through species distribu�on models, gap analysis and ecogeographical maps. Biodiversity and Conserva�on (2012) 21:79–96.
Prioritized locations for collecting Lupinus species in Spain
Op�mized collec�on of CWR germplasm
CRF Collec�ons
Focused Iden�fica�on Germplasm Strategies
Mackay (1986, 1990, 1995) Select accessions/popula�ons most likely to have desired gene�c varia�on for a target trait Applied to tradi�onal varie�es. Even more appropriate for CWR. Using ecogeographical data for predic�on of phenotypic traits before evalua�on trials. FIGS subsets ≠ core collec�ons
Temperature
Salinity score
Elevation
Rainfall
Agro-climatic zone
Disease distribution
F I G SOCUSED DENTIFICATION OF ERMPLASM TRATEGY
Data layers sieve accessions
based on latitude & longitude
Illustration by Mackay (1995)
GIS layers /
Ecogeographical variables
Germplasm
Filtering
Selected Brassica CWR populations with De Martonne aridity index values < 10
ELC map for Brassica L. Annual Precipitation map (Bioclim12)
Brassica CWR populations
Beta L., Brassica L. and Lupinus L.
Traits: Tolerance to drought and salinity
Focused Iden�fica�on Germplasm Strategies
Subset of first 100 Brassica CWR populations with the lowest De Martonne aridity index values
Wild populations of L. angustifolius L. from the Iberian Peninsula:
Semiarid
Subhumid
Humid
Common garden
Reciprocal sowing in native localities
De M
aerto
nne a
ridity
categ
ories
Year 2013
Year 2014
Culture cycle for:
Evaluation under different water availability conditions
Seed production
Reducing maternal effects
Focused Iden�fica�on Germplasm Strategies
If we are able to map the different adap�ve scenarios for the target species, we can:
§ Carry out efficient germplasm collec�ons
§ Create ecogeographical core collec�ons (ex situ or in situ)
§ Complement genotypic/phenotypic characteriza�on
§ Determine op�mal places to mul�ply/regenerate germplasm
Conclusion
§ Iden�fy popula�ons/accessions most likely to have the desired traits
CAPFITOGEN: Workshops for strengthening the capacita�on of na�onal programs of plant gene�c resources in La�n America – Interna�onal Treaty PGRFA (h�p://www.plan�reaty.org/es/capfitogen) – ELC Mapas: Ecogeographical Land Characteriza�on Maps – GEOQUAL: Assessment of quality of georreferencing informa�on – Representa: Analysis of ecogeographical representa�veness – ECOGEO: Ecogeographic characteriza�on of germplasm – ColNucleo: Genera�on of Ecogeographic Core Collec�ons – DIVmapas : Maps of high ecogeographical, phenotypic, gene�c diversity areas – FIGS_R: Selec�on of germplasm through the applica�on of abio�c filters
Available for analysis of whole European territory and 34 European countries – On demand: [email protected], [email protected] – Shortly as tools in the “cloud” available through internet
On-‐coming ecogeographic tools
Thank you!