EventsThe 5th International Electronic Conference on Agronomy
Published
This submission belongs to the session S2. Breeding and Selection Technologies of the event The 5th International Electronic Conference on Agronomy
Published date
11 Dec, 2025
Academic Editor
author-avatarJaime Prohens
Citation
Abid Hussain, Exploiting Epigenetic Memory for Transgenerational Stress Adaptation in Wheat Breeding, in Proceedings of The 5th International Electronic Conference on Agronomy, 15 December–18 December 2025, MDPI: Basel, Switzerland
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Exploiting Epigenetic Memory for Transgenerational Stress Adaptation in Wheat Breeding

1. Department of Biological Sciences, Thal Univeristy Bhakkar, Bhakkar, 30000, Punjab, Pakistan, Pakistan
Abstract

Epigenetic mechanisms offer a largely untapped resource for breeding crops with enhanced resilience to environmental stresses. In this study, we investigated the role of transgenerational epigenetic memory in wheat exposed to recurrent drought and heat episodes. A factorial field and controlled-environment experiment was conducted using elite wheat lines subjected to repeated cycles of stress across three generations. DNA methylation profiling was performed using whole-genome bisulfite sequencing (WGBS), and histone modification landscapes were analyzed with ChIP-seq to identify stable epigenetic markers associated with stress memory. Parallel physiological assessments, including stomatal conductance, canopy temperature depression, and grain yield stability, were integrated with molecular data to establish genotype–epigenotype–phenotype linkages. The results revealed that progeny derived from stressed parental lines consistently exhibited a 15–22% higher grain yield under recurrent drought compared to the controls, despite there being no changes in underlying nucleotide sequences. WGBS identified stable methylation patterns at loci linked to ABA signaling and root development, while ChIP-seq confirmed heritable enrichment of H3K4me3 markers at stress-responsive genes. Notably, plants inheriting both methylation and histone signatures showed superior water-use efficiency and sustained photosynthetic rates. Machine learning models integrating epigenetic and phenotypic datasets improved prediction accuracy of drought tolerance by 27% over genomic-only models, demonstrating the value of epigenetic markers in selection pipelines. This work provides strong evidence that epigenetic memory can be harnessed as a novel breeding resource for wheat improvement. Future efforts should integrate stable epigenetic signatures into genomic selection frameworks to accelerate the development of climate-resilient cultivars.

Keywords
Wheat Breeding
Epigenetic Memory
Transgenerational Adaptation
Drought Resilience
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