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bioRxiv · 10.1101/2024.03.20.585976

Ecogeographic signals of local adaptation in a wild relative help to identify variants associated with improved wheat performance under drought stress

Abstract

Prioritizing wild relative diversity for improving crop adaptation to emerging drought-prone environments is challenging. Here, we combined the genome-wide environmental scans (GWES) in wheat diploid ancestor Aegilops tauschii with allele testing in the genetic backgrounds of adapted cultivars to identify new diversity for improving wheat adaptation to water-limiting conditions. Evaluation of adaptive allele effects was carried out in Ae. tauschii-wheat introgression lines (ILs) phenotyped for multiple agronomic traits under irrigated and water-limiting conditions using both UAS-based imaging and conventional approaches. The GWES showed that climatic gradients alone explain most (57.8%) of genomic variation in Ae. tauschii, with many alleles associated with climatic factors in Ae. tauschii being linked with improved performance of ILs under water-limiting conditions. The most significant GWES SNP located on chromosome 4D and associated with temperature annual range was linked with reduced canopy temperature in ILs. Our results suggest that (i) introgression of climate-adaptive alleles from Ae. tauschii have potential to improve wheat performance under water-limiting conditions, (ii) variants controlling physiological processes responsible for maintaining leaf temperature are likely among the targets of adaptive selection in a wild relative, and (iii) adaptive variation uncovered by GWES in wild relatives has potential to improve climate resilience of crop varieties.

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BibTeXRIS

Nyine, M., Davidson, D., Adhikari, E., Clinesmith, M., Wang, H., Akhunova, A., Fritz, A., Akhunov, E.. 2024-03-23. Ecogeographic signals of local adaptation in a wild relative help to identify variants associated with improved wheat performance under drought stress. https://doi.org/10.1101/2024.03.20.585976

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