Evidence map›Paper›PMID 39985084›Full record

ArticleGenome biology2025

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

Moses Nyine, Dwight Davidson, Elina Adhikari, Marshall Clinesmith, Huan Wang, Alina Akhunova, Allan Fritz, Eduard Akhunov

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Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Moses NyineDepartment of Plant Pathology, Kansas State University, Manhattan, USA.
Dwight DavidsonDepartment of Plant Pathology, Kansas State University, Manhattan, USA.
Elina AdhikariDepartment of Plant Pathology, Kansas State University, Manhattan, USA.
Marshall ClinesmithDepartment of Agronomy, Kansas State University, Manhattan, USA.
Huan WangDepartment of Plant Pathology, Kansas State University, Manhattan, USA.
Alina AkhunovaDepartment of Plant Pathology, Kansas State University, Manhattan, USA.
Allan FritzDepartment of Agronomy, Kansas State University, Manhattan, USA.
Eduard AkhunovDepartment of Plant Pathology, Kansas State University, Manhattan, USA. eakhunov@ksu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrioritizing 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

Adaptation, PhysiologicalAegilopsDroughtsGenome, PlantStress, PhysiologicalTriticumAllelesPhenotypeAegilops tauschiiDrought toleranceEnvironmental adaptationIntrogressionWheatWild relatives

Identifiers

PMID39985084
PMCPMC11844086

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.