
Xi LONG1*, Juyun ZHENG2*, Lei FANG1, Ting ZHAO. Population epigenomics of plant DNA methylation: perspectives for molecular breeding[J]. Journal of Zhejiang University Science B, 1998, -1(-1): .
@article{title="Population epigenomics of plant DNA methylation: perspectives for molecular breeding",
author="Xi LONG1*, Juyun ZHENG2*, Lei FANG1, Ting ZHAO",
journal="Journal of Zhejiang University Science B",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2600175"
}
%0 Journal Article
%T Population epigenomics of plant DNA methylation: perspectives for molecular breeding
%A Xi LONG1*
%A Juyun ZHENG2*
%A Lei FANG1
%A Ting ZHAO
%J Journal of Zhejiang University SCIENCE B
%V -1
%N -1
%P
%@ 1673-1581
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2600175
TY - JOUR
T1 - Population epigenomics of plant DNA methylation: perspectives for molecular breeding
A1 - Xi LONG1*
A1 - Juyun ZHENG2*
A1 - Lei FANG1
A1 - Ting ZHAO
J0 - Journal of Zhejiang University Science B
VL - -1
IS - -1
SP -
EP - 0
%@ 1673-1581
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2600175
Abstract: DNA methylation, a key epigenetic modification, contributes to regulatory diversity in plants and plays important roles in phenotypic plasticity and environmental adaptation. Recent population epigenomic studies have revealed extensive methylation variation across plant genomes, characterized genomic distribution and genetic architecture, and demonstrated both its dependence on and partial independence from underlying DNA sequence variation. These studies have further linked methylation variation to gene expression regulation, domestication, local adaptation, and complex trait variation through integrative analyses and epigenome-wide association research. Advances in high-throughput sequencing have enabled the generation of population-scale plant methylomes across natural accessions, wild relatives, landraces, and breeding germplasm, providing new avenues to systematically investigate epigenomic diversity and its functional consequences. In parallel, public methylome resources, epigenomic databases and multi-omics analytical platforms are accelerating comparative and cross-species analyses of plant epigenomic variation. Future efforts that integrate population methylomes with genomics, transcriptomics, chromatin accessibility, three-dimensional genome organization, deep learning-based analytical frameworks, and targeted epigenome editing are expected to facilitate the discovery of epigenetic breeding markers, promoting the application of epigenomic variation in crop improvement.
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Received: 2026-03-16
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