Your new experience awaits. Try the new design now and help us make it even better

EDITORIAL article

Front. Plant Sci., 08 October 2025

Sec. Plant Bioinformatics

Volume 16 - 2025 | https://doi.org/10.3389/fpls.2025.1700222

This article is part of the Research TopicExploring Structural Variants in Plant Pangenomics: Innovations and ApplicationsView all 8 articles

Editorial: Exploring structural variants in plant pangenomics: innovations and applications

Jinglong Wang&#x;Jinglong Wang1†Qilong Zhou&#x;Qilong Zhou1†Yunfei Liu&#x;Yunfei Liu1†Risheng LiRisheng Li2Lan LanLan Lan3Junliang ZhaoJunliang Zhao2Zefeng Yang*Zefeng Yang4*Yong Jia*Yong Jia3*Haifei Hu*Haifei Hu2*
  • 1Institute of Pratacultural Science, Xizang Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
  • 2Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Rice Science and Technology, Guangdong Rice Engineering Laboratory, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
  • 3Western Crop Genetics Alliance, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, Australia
  • 4Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou, Jiangsu, China

Structural variants (SVs), which include large insertions, deletions, duplications, inversions, and translocations, have emerged as pivotal drivers of genomic diversity in plants. Unlike single-nucleotide changes, SVs can drastically alter gene content and genome architecture, thereby influencing phenotypic traits and adaptive potential (Hu et al., 2024a). The advent of plant pangenomes, which capture the full spectrum of genetic variation across multiple accessions of a species, has revolutionized our understanding of how SVs contribute to evolution and crop improvement (Hu et al., 2024b). By moving beyond a single reference genome, pangenomic analyses reveal missing genes and alleles, uncovering SV-linked traits that traditional single-reference genome-based approaches often overlook (Tong et al., 2025; Wang et al., 2023). This Research Topic focuses on these advances, highlighting studies that leverage pangenome frameworks to elucidate the roles of SVs in genetic diversity, environmental adaptation, and agronomic traits. We synthesize the findings of the contributions in this Research Topic and place them within the broader context of recent large-scale comparative studies in crops such as rice and barley, which also demonstrate the transformative impact of SV analysis on plant genomics.

Pangenome perspectives on gene presence/absence variation in stress adaptation

Multiple studies included in this Research Topic have examined how PAV of gene families across plant pangenomes can illuminate stress tolerance mechanisms. Man et al. analyzed the auxin response factor (ARF) gene family across a 26-genome maize pangenome (Hufford et al., 2021), revealing substantial variations in gene content and stress-induced expression. Among these, ARF4 consistently exhibited upregulation under both drought and salt stress, underscoring its role as a key regulator of abiotic stress responses. Similarly, Fan et al. built an 18-genome Brassica napus pangenome and identified 353 R2R3-MYB gene clusters, revealing extensive gene PAV and stress-responsive expression variation that highlights candidate regulators of abiotic stress adaptation. Two contributions focused specifically on PAV variations across different cultivars and explored its functional implications. Wang et al. analyzed the CBF gene family, which is associated with cold stress responses, in five yellowhorn cultivars. The authors identified eight dispensable and unique gene members. Notably, a cultivar-specific gene, Xg11_CBF11, enhanced cold tolerance when expressed in Arabidopsis. Similarly, Ma et al. identified 149 PSKR genes in allohexaploid wheat, unevenly distributed across 21 chromosomes. Expression analyses revealed that many of these genes are stress- and hormone-responsive, providing a resource of candidate PSKRs for improving wheat resilience. Across these studies, a unifying theme is that pangenome-based analyses of plant species reveal gene PAV that can be crucial for environmental adaptation and agronomic traits. The ability to link such SV-driven gene PAV to stress tolerance underscores the practical value of pangenomics for breeding improvement.

Evolutionary and comparative genomics of structural variation

Expanding to evolutionary scales, multi-genome analyses demonstrate that SVs repeatedly remodel gene families and defense repertoires across plant lineages. In Rosaceae, for example, Yang et al. showed that the sorbitol-6-phosphate dehydrogenase (S6PDH) family originated from ancestral duplications and subsequently diversified through whole-genome duplication in Maleae and transpositions in peach, producing gene clusters with distinct metabolic roles. Similarly, Fan et al. revealed contrasting strategies in Anacardiaceae: mango and cashew experienced lineage-specific polyploidy, whereas pistachio and Rhus diversified through transposable element (TE)-driven SV. These SVs coincided with expansions and clustering of WRKY and NLR disease resistance genes, highlighting TE-mediated SVs as engines of immune diversification. Parallel findings have emerged in other plant species. In pepper, for example, retroduplication and TE bursts massively expanded NLR repertoires, accelerating pericentromeric evolution and strengthening immune capacity (Kim et al., 2021). Across the legume genus, pan-NLRome studies emphasized that SV-mediated birth–death cycles, recombination, and copy number changes are central to immune evolution (Wang et al., 2025). Tong et al. (2025) revealed that the expansion of the bHLH gene family in barley may be enriched in specific subfamilies, implying a potential link to species-specific environmental adaptation at the pangenome level. Together, these studies underscore a shared theme: pangenome analyses reveal how SVs, from whole-genome and local duplications to TE-mediated rearrangements, drive lineage-specific innovation in development and defense (Jia et al., 2023). Beyond evolutionary insights, these findings generate prioritized gene and allele catalogs that can be leveraged for crop improvement, illustrating the dual significance of pangenomics for both fundamental research and applied plant science.

Broader advances in plant pangenomics and SV analysis

Findings from this Research Topic also align with those of recent large-scale plant pangenomic projects, underscoring the pervasive importance of SVs. In barley, a pangenome built from 76 high-quality assemblies and over 1,300 resequenced accessions uncovered thousands of PAVs and complex SVs distinguishing wild and cultivated accessions (Jayakodi et al., 2024). Many of these genetic variations were linked to agronomic traits: for example, the expansion of a starch-degrading enzyme family in elite malting barleys enhanced enzyme activity during grain malting, while the deletion of a regulatory enhancer altered awn morphology. These cases demonstrate how diversity at structurally complex loci has enabled barley to adapt to agricultural environments and specialized uses. In rice, Guo et al. (2025) assembled 145 genomes (129 wild O. rufipogon and 16 cultivated O. sativa), identifying 3.87 Gb of novel sequences absent from the Nipponbare reference and a total of 69,531 genes, ~14,000 of which were specific to wild populations. Wild rice harbors far greater diversity of resistance genes than domesticated rice, emphasizing how domestication bottlenecks narrowed SV-driven resilience. Tens of thousands of SVs, including PAVs and inversions, also distinguished indica and japonica subspecies, shedding light on subpopulation adaptation and the domestication process. Together, these studies reinforce the core messages of this Research Topic that pangenomes reveal the hidden structural variation underlying trait diversity, and that integrating SV maps with functional validation transforms catalogs of variants into breeding markers. Across species, SVs frequently affect domesticated, stress resistance and immunity response traits, and leveraging wild germplasm through pangenomics provides valuable alleles lost during domestication.

Conclusion

Taken together, the studies in this Research Topic highlight innovations in plant pangenomics with a focus on SVs. From single-species pangenomes identifying candidate genes for stress tolerance to cross-species comparisons of evolutionary history, the contributions show how SVs shape plant diversity and adaptation. Common themes include building comprehensive pangenome resources, characterizing SV impacts on gene content and function, and integrating genomic with transcriptomic and phenotypic data. Along with recent large-scale plant genomics studies, these works underscore that SVs are fundamental drivers of evolution and breeding potential, paving the way for pangenome-guided crop improvement and sustainable agriculture (Hu et al., 2025).

Author contributions

JW: Writing – original draft, Writing – review & editing. QZ: Writing – original draft. YL: Writing – review & editing. RL: Writing – review & editing. LL: Writing – review & editing. JZ: Writing – review & editing. ZY: Writing – original draft, Writing – review & editing. YJ: Writing – original draft, Writing – review & editing. HH: Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. We appreciate the funding support from the Key Research and Development and Transformation Special Projects in the Xizang Autonomous Region(CGZH2025000519) and the Funding for Financial Special Projects in the Xizang Autonomous Region(54000022Y000000075765). This research was also supported by the National Natural Science Foundation of China (32400512) and the GuangDong Basic and Applied Basic Research Foundation (2024A1515011981). We also acknowledge the “YouGu” Plan and “Outstanding Youth Researcher” of the Rice Research Institute of the Guangdong Academy of Agricultural Sciences (2023YG04&2024YG01), the Introduction of Young Key Talents of the Guangdong Academy of Agricultural Sciences (R2023YJ-QC001) and the Guangdong Key Laboratory of Rice Science and Technology (2023B1212060042).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Guo, D., Li, Y., Lu, H., Zhao, Y., Kurata, N., Wei, X., et al. (2025). A pangenome reference of wild and cultivated rice. Nature 642, 662–671. doi: 10.1038/s41586-025-08883-6

PubMed Abstract | Crossref Full Text | Google Scholar

Hu, H., Scheben, A., Wang, J., Li, F., Li, C., Edwards, D., et al. (2024a). Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding. Plant Biotechnol. J. 22, 544–554. doi: 10.1111/pbi.14224

PubMed Abstract | Crossref Full Text | Google Scholar

Hu, H., Wang, J., Nie, S., Zhao, J., Batley, J., and Edwards, D. (2024b). Plant pangenomics, current practice and future direction. Agric. Commun. 2, 100039. doi: 10.1016/j.agrcom.2024.100039

Crossref Full Text | Google Scholar

Hu, H., Zhao, J., Thomas, W. J., Batley, J., and Edwards, D. (2025). The role of pangenomics in orphan crop improvement. Nat. Commun. 16, 118. doi: 10.1038/s41467-024-55260-4

PubMed Abstract | Crossref Full Text | Google Scholar

Hufford, M. B., Seetharam, A. S., Woodhouse, M. R., Chougule, K. M., Ou, S., Liu, J., et al. (2021). De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes. Science 373, 655–662. doi: 10.1126/science.abg5289

PubMed Abstract | Crossref Full Text | Google Scholar

Jayakodi, M., Lu, Q., Pidon, H., Rabanus-Wallace, M. T., Bayer, M., Lux, T., et al. (2024). Structural variation in the pangenome of wild and domesticated barley. Nature 636, 654–662. doi: 10.1038/s41586-024-08187-1

PubMed Abstract | Crossref Full Text | Google Scholar

Jia, Y., Xu, M., Hu, H., Chapman, B., Watt, C., Buerte, B., et al. (2023). Comparative gene retention analysis in barley, wild emmer, and bread wheat pangenome lines reveals factors affecting gene retention following gene duplication. BMC Biol. 21, 1–22. doi: 10.1186/s12915-022-01503-z

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, M.-S., Chae, G. Y., Oh, S., Kim, J., Mang, H., Kim, S., et al. (2021). Comparative analysis of de novo genomes reveals dynamic intra-species divergence of NLRs in pepper. BMC Plant Biol. 21, 247. doi: 10.1186/s12870-021-03057-8

PubMed Abstract | Crossref Full Text | Google Scholar

Tong, C., Jia, Y., Hu, H., Zeng, Z., Chapman, B., and Li, C. (2025). Pangenome and pantranscriptome as the new reference for gene-family characterization: A case study of basic helix-loop-helix (bHLH) genes in barley. Plant Commun. 6, 101190. doi: 10.1016/j.xplc.2024.101190

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, J., Yang, W., Zhang, S., Hu, H., Yuan, Y., Dong, J., et al. (2023). A pangenome analysis pipeline provides insights into functional gene identification in rice. Genome Biol. 24, 19. doi: 10.1186/s13059-023-02861-9

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, L., Jiang, X., Jiao, W., Mao, J., Ye, W., Cao, Y., et al. (2025). Pangenome analysis provides insights into legume evolution and breeding. Nat. Genet. 57, 2052–2061. doi: 10.1038/s41588-025-02280-5

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: pangenome, structural variants, genetic diversity, plant breeding, biotic and abiotic response

Citation: Wang J, Zhou Q, Liu Y, Li R, Lan L, Zhao J, Yang Z, Jia Y and Hu H (2025) Editorial: Exploring structural variants in plant pangenomics: innovations and applications. Front. Plant Sci. 16:1700222. doi: 10.3389/fpls.2025.1700222

Received: 06 September 2025; Accepted: 26 September 2025;
Published: 08 October 2025.

Edited and reviewed by:

Ling-Ling Chen, Guangxi University, China

Copyright © 2025 Wang, Zhou, Liu, Li, Lan, Zhao, Yang, Jia and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zefeng Yang, emZ5YW5nQHl6dS5lZHUuY24=; Yong Jia, eS5qaWFAbXVyZG9jaC5lZHUuYXU=; Haifei Hu, aHVoYWlmZWlAZ2RhYXMuY24=

The authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.