Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress

Background Prioritizing wild relative diversity for improving crop adaptation to emerging drought-prone environments is challenging. Here, we combine the genome-wide environmental scans (GWES) in wheat diploid ancestor Aegilops tauschii (Ae. tauschii) with allele testing in the genetic backgrounds o...

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Autores principales: Nyine, M., Davidson, D., Adhikari, E., Clinesmith, M., Wang, H., Akhunova, A., Fritz, A., Akhunov, E.
Formato: Journal Article
Lenguaje:Inglés
Publicado: 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/174037
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author Nyine, M.
Davidson, D.
Adhikari, E.
Clinesmith, M.
Wang, H.
Akhunova, A.
Fritz, A.
Akhunov, E.
author_browse Adhikari, E.
Akhunov, E.
Akhunova, A.
Clinesmith, M.
Davidson, D.
Fritz, A.
Nyine, M.
Wang, H.
author_facet Nyine, M.
Davidson, D.
Adhikari, E.
Clinesmith, M.
Wang, H.
Akhunova, A.
Fritz, A.
Akhunov, E.
author_sort Nyine, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description Background Prioritizing wild relative diversity for improving crop adaptation to emerging drought-prone environments is challenging. Here, we combine the genome-wide environmental scans (GWES) in wheat diploid ancestor Aegilops tauschii (Ae. tauschii) with allele testing in the genetic backgrounds of adapted cultivars to identify diversity for improving wheat adaptation to water-limiting conditions. Results We evaluate the adaptive allele effects in Ae. tauschii-wheat introgression lines phenotyped for multiple traits under irrigated and water-limiting conditions using both unmanned aerial system-based imaging and conventional approaches. The GWES show that climatic gradients alone explain more than half of genomic variation in Ae. tauschii, with many alleles associated with climatic factors in Ae. tauschii being linked with improved performance of introgression lines under water-limiting conditions. We find that the most significant GWES signals associated with temperature annual range in the wild relative are linked with reduced canopy temperature in introgression lines and increased yield. Conclusions Our results suggest that introgression of climate-adaptive alleles from Ae. tauschii has the potential to improve wheat performance under water-limiting conditions, and that variants controlling physiological processes responsible for maintaining leaf temperature are likely among the targets of adaptive selection in a wild relative. Adaptive variation uncovered by GWES in wild relatives has the potential to improve climate resilience of crop varieties.
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spelling CGSpace1740372025-11-11T10:00:21Z Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress Nyine, M. Davidson, D. Adhikari, E. Clinesmith, M. Wang, H. Akhunova, A. Fritz, A. Akhunov, E. genomics ecogeographical analysis genetic diversity wheats drought tolerance Background Prioritizing wild relative diversity for improving crop adaptation to emerging drought-prone environments is challenging. Here, we combine the genome-wide environmental scans (GWES) in wheat diploid ancestor Aegilops tauschii (Ae. tauschii) with allele testing in the genetic backgrounds of adapted cultivars to identify diversity for improving wheat adaptation to water-limiting conditions. Results We evaluate the adaptive allele effects in Ae. tauschii-wheat introgression lines phenotyped for multiple traits under irrigated and water-limiting conditions using both unmanned aerial system-based imaging and conventional approaches. The GWES show that climatic gradients alone explain more than half of genomic variation in Ae. tauschii, with many alleles associated with climatic factors in Ae. tauschii being linked with improved performance of introgression lines under water-limiting conditions. We find that the most significant GWES signals associated with temperature annual range in the wild relative are linked with reduced canopy temperature in introgression lines and increased yield. Conclusions Our results suggest that introgression of climate-adaptive alleles from Ae. tauschii has the potential to improve wheat performance under water-limiting conditions, and that variants controlling physiological processes responsible for maintaining leaf temperature are likely among the targets of adaptive selection in a wild relative. Adaptive variation uncovered by GWES in wild relatives has the potential to improve climate resilience of crop varieties. 2025 2025-04-08T10:44:48Z 2025-04-08T10:44:48Z Journal Article https://hdl.handle.net/10568/174037 en Open Access application/pdf Nyine, M., Davidson, D., Adhikari, E., Clinesmith, M., Wang, H., Akhunova, A., ... & Akhunov, E. (2025). Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress. Genome Biology, 26(1): 35, 1-24.
spellingShingle genomics
ecogeographical analysis
genetic diversity
wheats
drought tolerance
Nyine, M.
Davidson, D.
Adhikari, E.
Clinesmith, M.
Wang, H.
Akhunova, A.
Fritz, A.
Akhunov, E.
Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title_full Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title_fullStr Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title_full_unstemmed Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title_short Genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
title_sort genomic signals of ecogeographic adaptation in a wild relative are associated with improved wheat performance under drought stress
topic genomics
ecogeographical analysis
genetic diversity
wheats
drought tolerance
url https://hdl.handle.net/10568/174037
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