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Chasing genetic correlation breakers to stimulate population resilience to climate change
Jaroslav Klápště1, Emily J Telfer2, Heidi S Dungey2
1Scion New Zealand Forest Research Institute Ltd., Rotorua, 3046, New Zealand. Jaroslav.Klapste@scionresearch.com.
Scientific Reports
|May 17, 2022
Summary
Global climate change stresses plants, requiring new genetic trait combinations. Our study identified highly recombined radiata pine individuals, crucial for adapting forests to future environmental conditions.
Area of Science:
- Plant genetics
- Evolutionary biology
- Climate change adaptation
Background:
- Global climate change increases environmental stress on plants.
- This necessitates modifying genetic relationships among functional traits for local adaptation.
- Heterogeneous environments favor increased genetic recombination.
Purpose of the Study:
- Identify individuals with high genetic recombination in radiata pine.
- Investigate genomic regions potentially influencing trait correlations.
- Enhance forest resilience to climate change through genetic strategies.
Main Methods:
- Constructed a training population using 'correlation breakers' selected via tandem mating.
- Analyzed linkage disequilibrium patterns to find genomic regions with significant differences.
- Employed genomic prediction models for trait prediction accuracy.
Main Results:
- Identified individuals with high genetic recombination, achieving prediction accuracy of 0.80 (cross-validation) and 0.72 (family-removed).
- Genomic regions with altered linkage disequilibrium showed higher heterozygosity.
- This heterozygosity decomposes unfavorable genetic correlations between traits.
Conclusions:
- Selection of correlation breakers and genomic prediction can increase frequency of highly recombined individuals.
- This strategy enhances planted forest resilience to changing climates.
- Decreasing population-level genetic correlations allows for novel trait combinations.
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