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Plant histone variants: deposition mechanisms, functional diversification, and translational prospects
Bowen Li1, Yahui Zhao1, Lefei Gao1
1Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Abstract:
Histone variants are non-allelic isoforms of canonical histones that assemble into nucleosomes via replication-independent pathways, reshaping chromatin biophysical properties and transcriptional control at specific genomic loci. Constrained by their sessile lifestyle, plants have evolved a rich set of histone variants, including lineage-specific innovations such as heterochromatin-stabilizing H2A.W, stress-inducible H1.3, gametophyte-restricted H2B.8, Arabidopsis H3.14, and Oryza-specific H4.V. This review systematically summarizes recent advances in plant histone variants from three dimensions: (1) histone chaperones and remodelers governing variant genomic targeting; (2) variant functions across plant developmental and stress responses; (3) evolutionary origins and epigenetic crosstalk underlying variant diversification. Comparative and pan-genomic analyses reveal that lineage-specific gene-family expansion and intraspecific structural variation jointly shape plant histone variant repertoires. Natural histone variant haplotypes provide untapped genetic resources for fine-tuning chromatin responsiveness, though their causal links to chromatin states and agronomic traits remain to be experimentally validated. We propose the concept of pangenomic chromatin alleles, in which naturally occurring histone-variant haplotypes, copy-number variations, and structural configurations at histone-variant loci may be leveraged to fine-tune chromatin responsiveness and inform future pan-genome-based chromatin haplotype breeding. We further discuss how crop pangenomes, multi-modal artificial intelligence, and precision epigenome editing can accelerate variant discovery, occupancy prediction, and functional prioritization, while emphasizing the necessity of rigorous genetic and biochemical validation for all predictive findings.